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HighNoon: adaptation to changing water resources availability in northern India with Himalayan glacier retreat and changing monsoon pattern
Risultati in breve
Informazioni relative al progetto
HIGHNOON
ID dell'accordo di sovvenzione: 227087
Progetto concluso
Data di avvio 1 Maggio 2009
Data di completamento 30 Aprile 2012
FP7-ENVIRONMENT
Bilancio complessivo € 4 292 841
Contributo UE € 3 311 751
Coordinato da
STICHTING WAGENINGEN RESEARCH
Questo progetto è apparso in…
RIVISTA RESEARCH*EU
Riflettori sulla cooperazione internazionale nell'ambito del 7° PQ
N. 27, NOVEMBRE 2013
Final Report Summary - HIGHNOON (HighNoon: adaptation to changing water resources availability in northern India with Himalayan glacier retreat and changing monsoon pattern)
HighNoon: Adaptation to changing water resources availability in northern India with Himalayan glacier retreat and changing monsoon is an EU-funded project under framework 7 and is carried out as a collaboration between European, Indian and Japanese research organisations and universities.
The HighNoon project aimed to assess the impact of Himalayan glaciers retreat and possible changes of the Indian summer monsoon on the spatial and temporal distribution of water resources in northern India. The project further provided recommendations for strategies that strengthen the cause for adaptation to hydrological extreme events through a participatory process.
The main research aspects of HighNoon are:
-Developing scenarios for snowmelt and monsoon patterns based on improved regional climate simulations.
-Developing realistic regional socio-economic scenarios and assess the changing water resources using regional models.
-Providing new methods for the prioritisation of adaptation measures to be used as a design tool in the selection of adaptation options.
-Participative development of specific multi-sector adaptation measures in consultation with stakeholders.
HighNoon applied a trans disciplinary research approach to climate change adaptation. Knowledge on climate change and climate variability of stakeholders at different levels was integrated with scientific knowledge derived from improved regional climate modelling and socio-economic scenario development.
Stakeholders have been involved at different scales, ranging from individual farm level to national government. The main findings of the project can be summarised as:
-A gradual wide-spread warming over northern India is projected by Regional Climate Models (RCM). Temperature is expected to increase for the Ganges basin on average by about 2oC by 2050 and 4oC by 2100, and be more pronounced over mountainous areas.
-Annual total precipitation changes across northern India are less certain. Against a backdrop of considerable decadal variability, the slight increase in precipitation to 2050 indicated by the RCMs is unlikely to be significant.
-The expected continuation of glacier shrinkage in most parts of the Himalayan mountain ranges is confirmed by innovative modelling of glaciers at a large scale within RCMs.
-It is unlikely that the next decades will see dramatic changes in total runoff, but continued glacier shrinkage will increase the seasonality of runoff, especially upstream (within 200 km of the Glaciers).
-Drought conditions are expected to be exacerbated by 2050 as a result of higher temperatures and fewer rain days.
-Yields of existing varieties of both rice and wheat are projected to decline, with greater reductions in upstream regions, as negative impacts of higher temperatures offset positive effects of higher carbon dioxide concentrations.
-Stakeholders report increases in temperatures across the Ganges basin, nights becoming warmer, length of winter shorter, variability in rainfall greater and extreme events, mostly related to drought, more frequent.
-In upstream regions, where stakeholders expect climate change to increase flood risk, adaptation measures to prevent flood damage are highly prioritized. In mid- and downstream regions of the Ganges basin, stakeholders anticipate droughts and lowering of the water table, leading them to prioritize measures to maintain groundwater levels, and to develop water harvesting and water use efficiency.
HighNoon results have been communicated to both Indian and EU policy makers at various occasions, and a comprehensive HighNoon Policy brief was published. Results are communicated to the scientific community through peer reviewed papers and conferences. Results are available from the HighNoon website: http://www.eu-highnoon.org
Project Context and Objectives:
The hydrological system of Northern India is based on two main phenomena, the monsoon precipitation in summer and the growth and melt of the snow and ice cover in the Himalaya, also called the 'Water Tower of Asia'. Climate change is expected to change these phenomena and it will have a profound impact on snow cover, glaciers and its related hydrology, water resources and the agricultural economy on the Indian peninsula. Especially the perennial rivers in the north, Ganga, Indus and Brahmaputra, are susceptible to climate change as they originate from the Himalayas. Climate change is projected to have a short term and long term impact on the hydrological system.
Recent work indicates that time-slice experiments using an AGCM with prescribed SSTs, as opposed to a fully coupled system, are not able to accurately capture the South Asian monsoon response. The hydrological effects of climate change can best be obtained from hydrological models which have the advantage over GCMs that they can incorporate regional characteristics and climatic variations. Three-member ensembles of baseline simulations (1961-1990) from a RCM (PRECIS) at 50 km resolution have confirmed that significant improvements in the representation of regional processes over South Asia can be achieved.
It is a great challenge to integrate the spatial and temporal glacier retreat and snowmelt and changed monsoon pattern in weather prediction models under different climate scenarios. Furthermore, the output of these models will have an effect on the input of the hydrological models. The retreat of glaciers and a possible change in monsoon precipitation and pattern will have a great impact on the temporal and spatial availability of water resources in Northern India. Besides climate change, socio-economic development will also have an influence on the use of water resources, the agricultural economy and the adaptive capacity. Socio-economic development determines the level of adaptive capacity. It is a challenge to find appropriate adaptation strategies with stakeholders for each of the sectors agriculture, energy, health and water supply by assessing the impact outputs of the hydrological and socio-economical models.
The HighNoon approach and objectives
The principal aim of the project is to assess the impact of Himalayan glaciers retreat and possible changes of the Indian summer monsoon on the spatial and temporal distribution of water resources in Northern India and to provide recommendations for appropriate and efficient response strategies that strengthen the cause for adaptation to hydrological extreme events. The objectives can be summarised as:
-To integrate available climate- and hydrological data, and state-of-the art regional models.
-To study the changes under various climate change scenarios and to analyse consequential impacts on water resources in particular on changes in snow and glacier melting and changed spatial-temporal monsoon patterns
-To determine socio-economic scenarios and reliable boundary conditions per physical or administrative unit for planning of adaptation measures
-To understand the current coping strategies in place covering both upstream, mid-stream and downstream sites and investigate impacts on water quantity, water quality, socio economic aspects, and adaptive capacity
-To develop a stakeholder driven applicable and cross-sector plan of action for adaptation measures in the field of water supply, agriculture, energy and health
-To estimate the cost effectiveness of the various measures proposed
-To understand the cross sector interaction of measures and their cross category impact on water quantity, water quality and socio economy, and adaptive capacity.
Beyond state-of-the-art
The HighNoon project will target a significant progress in the state of art by combining innovative efforts in the field of:
(i) improving the regional simulation of climate change conditions including the consideration of feedback mechanisms from glacier retreat and evapotranspiration on the climate
(ii) providing new methods for the prioritization of measures, and
(iii) finally using this knowledge in a true participative development of specific multi-sector adaptation measures:
-Regional climate modelling, and forecasting snow- and ice-melt and monsoon precipitation patterns.
To study properly the impacts of future climate change on the vulnerability of water resources in India, it is important to improve the capacity of models both to simulate the South Asian monsoon and to relate runoff to climate and glacier melting and retreat. In addition it is important to incorporate different feedbacks into the models. Within the HighNoon project, climate model improvement will focus on developing the simulation of feedback between glacier retreat and the atmosphere. In addition, we will study how the impacts of changing snow cover and changing monsoon patterns interact to influence the overall precipitation pattern of the Indian subcontinent. To do this, we will improve and use two prominent regional climate models (Precis and Remo) at a high resolution. By using two different RCMs we will be better able to determine model uncertainties.
In order to investigate the potential feedback mechanisms of the adaptation measures to global change, it is necessary to evaluate those measures in an integrative framework taking into account climate change as well as socio-economic changes. With IMAGE (Bouwman et al., 2006) it will be possible to simulate the impacts of adaptation measures on upstream-downstream impact relations in food production and water stress for other sectors. The innovation here will be twofold, first to assure the consistency amongst scales in translating the adaptation measures to regional scale, making use of the knowledge and experience at the field scale. Second, to test the robustness of the chosen strategy in a fully integrated framework.
-Prioritization of water resources allocation and adaptation measures
Until now, the concept of equity and search for trade-offs or compromises had largely influenced the water resources management. Facing the severity of climate change impact, droughts and floods in the North West of India, new methods have to be found to make a judgement of prioritizations by policy makers transparent and understandable to people.
The Indian context, with its uncertainty with regard to changing runoff and monsoon patterns provides an interesting opportunity to go beyond the state of the art in prioritization methods with the WaterWise application. The methodology will be improved with a new approach to uncertainty in boundary conditions (using a kind of embedded ensemble modelling). This will make it possible to analyze different adaptation measures and preferences not only given one standard rainfall and runoff pattern but under a range of climate patterns and to find the most suitable option also in terms of robustness and vulnerability.
-Participative development of adaptation measures
The HighNoon project acknowledges that oftentimes the prioritization of adaptation measures will be influenced by power differences, conflict and politics. The stakeholder identification and analysis will explicitly address the issue of power differences. Moreover, a negotiation perspective will be applied. Future oriented methods will be used to assist the negotiation process by widening stakeholders' views on options and their consequences.
Project Results:
HighNoon main S & T results
HighNoon applied a transdisciplainary research approach to climate change adaptation. Knowledge on climate change and climate variability of stakeholders at different levels was integrated with scientific knowledge derived from improved regional climate modelling and socio-economic scenario development.
WP1 Climatic boundary conditions and scenarios
The Climate scenarios work package aimed to provide a high quality data set of regional climate information for the Indian subcontinent that includes a measure of climatic uncertainty. This data set contained variables necessary to run offline impacts models such as water resource and crop models as well as direct climate information on projected temperature, precipitation and changes in the cryosphere and on the Monsoon. Projected impacts of climate on the Indian Summer Monsoon are highly uncertain, a secondary aim of the work program was to assess the uncertainty in the available climate simulations in terms of their ability to capture the atmospheric processes related to the Monsoon and also the projected changes. Including as assessment of uncertainty in the data sets used with the impacts models is crucial if the impact studies are to inform adaptation policy. Adaptation policy needs to be flexible in the face of climate and socio-economic uncertainty if adaptation policy is to be robust. A further issue encountered is the bias in the simulations of the state of the current climate. Attempts were made to assess and understand this bias and an additional dataset of bias corrected climate data have been produced that are available for climate impacts modeling.
The Climate Scenarios work package has produced the most detailed and extensive set of regional climate projections currently available for use in climate impact modeling and informing adaptation policy. The projections show a consistent warming trend over Northern India of between 1.5 and 3°C by the 2050s, relative to 1970-2000. Projected changes in Monsoon and annual precipitation are much more uncertain spanning a possible increase to decrease. However, the current consensus is for an increase to be more likely but extensive variability is also seen with projected periods of increasing and decreasing precipitation. The substantial decadal variability in the Monsoon system is likely to be very important to water resource management adaptation plans which will need to be robust to multi-decadal uncertain climate change as well as decadal periods of both increasing and decreasing water resource availability.
Downscaling global climate projections to the region is an extremely computationally expensive task. Often, the downscaling requires more computational power than the original global runs. The climate scenario work package downscaled two global scenarios of climate change from the Hadley Centre HadCM3 and Max Planck ECHAM5 GCMs under the SRES A1B scenario for the Indian subcontinent. These two models have demonstrable skill at simulating the atmospheric properties and circulation related to the Indian Summer Monsoon. The two global simulations were downscaled using the Hadley Centre HadRM3 and Max Planck REMO regional climate models. This approach of downscaling to GCMs with two RCMs was designed to capture some of the uncertainty in the global climate as well the uncertainty associated with downscaling. The high resolution of the RCM simulations (25 km) were able to capture the role of the steep Himalayan topography on moisture transport.
WP2 Snow and Glacier originated run-off generation
WP2 dealt with glacier melt and snow and glacier runoff formation in glacierised headwater basins of the Indian Himalaya and for neighbouring Nepal. Modeling runoff from glaciers and glacierised areas requires climatic data as inputs both to generate winter snow cover and subsequently to melt that snow cover during summer months.
Available climatic, hydrological and glaciological data for parameter optimisation and glacier runoff model verification are sparse in the Indian Himalaya. Three-dimensional structure and ice volume is known only for the small Dokriani Bamak. Discharge from highly-glacierised basins has been measured at Dokriani and at the much larger Gangotri glacier for about 20 and 5 years respectively. Only four years of mass balance data are available for Chhota Shigri glacier, but discharge in that basin has not been measured. Changes in glacier dimensions are best obtained from repeat remotely-sensed imagery, and information is required concerning the Little Ice Age maximum dimensions of glaciers, depletion from which has already augmented runoff.
The occurrence of Glacial Lake Outburst Floods (GLOFs) in the Himalayas increased during the second half of the 20th century. In future, as glaciers recede further in response to climatic warming, the number and volume of potentially-hazardous moraine-dammed lakes in the Himalayas will likely increase. How much water is likely to be stored, and for how long before release in GLOFs, will affect downstream water availability. In the mountain areas, serious loss of life and massive destruction of villages, water supply and hydropower infrastructure as well as agricultural land has resulted from GLOFs in various parts of the Himalaya. Many of these lakes are in an unstable condition.
WP3 Regional and national socio-economic dynamics
The project developed socio economic scenarios for the Ganges basin, based on global and local socio economic scenarios. Global scale socioeconomic scenarios have been developed based on comprehensive modeling studies to understand changes in the population and its corresponding demand on food and water resources. Those scenarios have been downscaled for India and the Ganges basin. High resolution scenarios at district scale have been created for population, economic development, food and water demand. These scenarios are not modeled, but have taken recently observed trends in population and economic development into account. Results from both methodologies were compared.
To assess the combined effect of climate change and socio economic changes on agricultural water resources, a hydrology and vegetation model was used. This model was forced with climate change scenarios from WP1 and land use scenarios reflecting an increased food demand. The resulting increase in irrigation demand was calculated and the water availability to fulfil this demand was estimated. Subsequently, the effect of two adaptation measures was evaluated: an overall improvement of the irrigation efficiency and an increase of storage capacity in large dams. It was found that in the Ganges water scarcity will mainly take place in areas where additional storage would not help, because it would not fill up. This basin shall benefit more from improved irrigation efficiency. It was also concluded that the large scale model used in this study is suitable to identify hot spot areas and support the first step in the policy process, but final design of adaptation measures requires supporting studies at finer scales.
Socio economic scenarios
The first task of the WP was to develop socio economic scenarios for the Ganges basin. Therefore a two way approach was developed. First, an inventory of existing global scale scenarios was made and that was first zoomed in to India.
According to these global scenarios:
-The UN projects a population increase for India from around 1.2 billion today until 1.6 billion in 2050
-India would see growth rates of approximately 7 % per year in the first years towards 4 % during 2020-2030
-India will need approximately one million sq km additional cropland to be able to produce enough food crops for its growing population
-The total crop production should almost double between 2010 and 2050
-Water use in India (including Pakistan and Bangladesh) will see an increase of 18%
-The increase in number of people living under water stress in India is mainly driven by population changes (changes in withdrawal), and not so much by climate change yet.
Then an elaborate inventory of existing local scale scenarios is developed for population, economic growth, food, water and health care demand. The scenarios for populations and GDP development were developed by taking existing state level projections and disaggregate these districts by using census data for multiple years to account for regional trends. The food demand, water demand and health care demand scenarios were directly derived from the population and economic scenarios. An extensive database was developed with decadal projections up to 2050 for all districts in the 11 Indian states of the Ganga basin.
Integrated analysis
To fully understand the combined effect of climate change and socio economic changes, and to identify regions where water scarcity will occur, integrated analysis was needed. To address changes in water availability, the regional climate models REMO and HADRM3 were run to provide high resolution climate change scenarios to be used to force LPJmL. Changes in glacier melt were addressed by comparing four models with observation data (Siderius et al).
The coupled hydrology and dynamic vegetation model LPJmL integrates a representation of the coupled terrestrial hydrological cycle and carbon cycle, which makes it a very suitable tool to study the relationship between water availability and crop production. Several components of the water and carbon cycles are validated and tested: e.g. river discharge, crop yields, irrigation requirements, and sowing dates. Specific validation results for the region are updated in the first part of the results. LPJmL explicitly accounts for human influences on the hydrological cycle, e.g. by including algorithms for irrigation extractions and supply and the operation of large reservoirs, which simulates well changes in stream flow and water supply from irrigation reservoirs to the irrigated fields.
Evaluation of adaptation options
LPJmL has been used to assess the combined impact of climate change (according to WP1) and socio economic change (land use change leading to increased water demand) on irrigation water demand and available supply from different sources, in the presence of absence of two adaptation measures: an overall improvement of the irrigation efficiency and a doubling of storage capacity of existing reservoirs.
The estimated current annual irrigation water demand in the Ganges is 375 km3. Only 44% of this water demand is available from surface water, the remaining is extracted from groundwater. Reservoirs play an important role in the water supply; approximately 30 km3 per year is supplied by reservoir water.
Without adaptation, LPJmL projects a small decrease in the irrigation water demand in 2050 , despite an increase of 11% in irrigated areas. This can be explained by the increasing CO2 concentrations, which causes plants to use water more efficiently. This partly compensates for potential negative effects of changes in other climate variables, particularly the overall warming and the regional shifts in precipitation. A doubling of the capacity of existing reservoirs (C) would only slightly increase irrigation water supply from surface water. This indicates that either the current reservoirs would not fill up at higher capacity, or that the regions with water shortage are not located near the existing reservoirs.
WP4 The development of a prioritization methodology: A negotiated integrated multi-criteria analysis & WP6 Participative development of multi-sector adaptation measures
HighNoon developed a new methodology for the prioritization of cross-sectoral adaptation measures. In Northern India, prioritization of adaptation options take place under uncertain conditions and involves equity and sustainability issues. Such complex circumstances require new forms of environmental decision making. The prioritization methodology was based on a participatory valuation approach, and enhances the incorporation of different preferences and subjective views of stakeholders in the valuation of adaptation measures.
One of the key objectives of the project was to identify and prioritise suitable adaptation measures at all relevant scales through multi stakeholder interactions that are site specific - and across sectors. The multiple levels of stakeholder interaction were:
-State level
-District level
-Community level
The methods developed guided the stakeholder consultations for the study objectives and supported consensus building amongst the diverse sets of stakeholders. Relying mostly on stakeholder inputs and perceptions, the work package activities were designed around stakeholder consultation across regions in the Ganges basin in India. Based on a set of criteria and supporting rationales, four sites were finalised and investigated as part of this work package.
The case study sites were:
-Delhi
-Udham Singh Nagar district in Uttarakhand
-Allahabad district in Uttar Pradesh
-The Kangsabati sub–basin in West Bengal covering Purulia, Bankura and Paschim Midnapore districts.
Through iterative consultations, stakeholder perceptions on hazards, impacts of hazards, vulnerability and suitable adaptation options were recorded and prioritized.
Based on their perceived vulnerabilities to climate change, the stakeholders at the state, district and community level identified and prioritized a rich set of sectoral, multi-sectoral and cross-sectoral adaptation measures. The arguments were largely drawn from stakeholders' experiences on how these or related options had fared in the past and what factors lead to the success of certain programs and the ineffectiveness or failure of others. Some criteria were also based on the understanding of the nature of climate change problem, the uncertainty it presents and the need for anticipatory action or preparedness.
Case Study of Delhi
The impacts of climate change on the rainfall and glaciers could have serious implications on the city owing to its dependence on climate sensitive sources for water and energy. Delhi obtains its drinking water from glacier fed rivers of the Ganga basin. Substantial part of drinking water and electricity of the city is sourced from Tehri hydro project, a multipurpose dam built across the river Ganga. Below we present a list of key vulnerabilities to the city of Delhi owing to the impacts of climate change and current coping strategies based on stakeholder consultations. One to one consultations were carried out in Delhi, Dehradun, Rishikesh and Faridabad with diverse stakeholders such as hydroelectricity producers, regulators, consumers, drinking water suppliers and consumers, government planning departments amongst others. This was followed by a half a day stakeholder workshop in Delhi to discuss the issues in detail. These consultations aimed at drawing from the perspectives of decision makers, end users, implementers and experts to arrive at a list of coping strategies.
The rationale for selecting this as a case study site is as follows
-Delhi is one of the key benefactors of the Tehri hydro project. Substantial part of drinking water and electricity of the city is sourced from Tehri hydro project. Impacts of variations in precipitation and glacial retreat could have serious implications for the water availability in the dam which in turn could affect water supply for electricity generation, irrigation and drinking.
-Yamuna River from which, considerable amount of water is drawn for drinking is a major tributary of the Ganga and is glacier fed.
-Socio economic drivers like population growth, urbanization, changes in living standards, migration could multiply demands for drinking water and electricity.
-Delhi being the largest city in the Ganga basin could provide valuable insights into urban adaptation which is crucial, considering that there are many cities in the basin.
Case Study of Udham Singh Nagar in Uttarkhand
Of the 13 districts in the state of Uttarakhand, 7 are categorised as hilly. The hilly stretches are known to practice terrace farming with small landholdings and are largely rainfed. The plain areas within the state have large areas under agriculture which is mostly irrigated. The state also has a large number of hydropower generating units, with a considerable share of power generated being distributed to regions outside the state boundaries. The district of Udham Singh Nagar in Uttarakhand falls in the plain region of the state with large tracts of irrigated agriculture and substantial share of population depending on farming as its primary livelihood source. The district is prone to flooding, usually after high rainfall events during the monsoon period.
-Located in the upstream stretch of the Ganges basin
-Prone to exposure to extreme events like floods
-Area of cultivated and irrigated land highest in the state and
-Population largely dependent on agriculture as a source of livelihood
Case Study of Allahabad in Uttar Pradesh
Located in the midstream of the Ganga Basin, the district of Allahabad in Uttar Pradesh presents a unique case, with different regions in the district being prone to both flood and drought events. With agriculture and related activities dominating livelihoods, the anticipated impacts on water resources in this region are likely to affect the availability of water for drinking, irrigation and other uses. Also predicted are impacts due to deteriorating water quality with implications on both crop and human health.
-Location of the district in the mid-stream of the basin, downstream of industrialised district of Kanpur
-Prone to exposure to droughts
-Prone to adverse impacts on water quality and its implications on agriculture and health
-High dependence of population on agriculture for livelihood
-Place of high cultural significance
Case Study of Bankura, Purulia, and Paschim Medinapur in West Bengal (Kangsabati sub-basin)
The districts of Purulia, Bankura and West Medinipur in West Bengal are part of the Kangsabati River Basin in the lower Ganges Basin. Agriculture is the prime contributor to the region's economy region with agricultural activities being largely dependent on the monsoons. Irrigation is also supported by the Kangsabati canal system. The region faces acute water scarcity, mostly attributed to uneven distribution of rainfall and lack of groundwater resources due to the less permeable soil and rock structure. Drought constitutes a major hazard here and intermittent gaps in precipitation, causing moisture stress, leads to a setback in production during the Kharif season, which is the main cropping season in these districts. Climate variability also significantly affects the water resource availability in the area.
-Location of the districts downstream in the Ganges basin
-Agriculture based economies (rainfed and irrigated)
-Limited water resources and prone to droughts
-Poor status of human development indicators
In the subsequent phases, participative approaches were used to understand stakeholder perceptions regarding changes in climatic trends, sectoral impacts, vulnerabilities as well as to identify adaptation needs and define and design adaptation options/strategies.
STAKEHOLDER PERCEPTIONS
Perception of Hazards
The results of discussions across all levels illustrated a commonality among the perceived hazards. Varying typically only in the extent of detail, the documented hazards range from increase in temperature, shorter and more severe winters, decrease in winter rainfall, delays in the onset of the monsoons, more erratic rainfall distribution and increased and more frequent incidences of extreme events like floods and droughts - Floods in the case of USN and parts of Allahabad and droughts in the case of parts of Allahabad and Paschim Medinipur. In addition to this, the community discussions at West Medinipur also revealed the occurrence of hail in the winter season. While stakeholders at the state and at the district level recognized these changes over a span of 10-15 years, stakeholders at the community level stakeholders professed these changes to observable over the past 5-10 years.
Perception of Impacts of the hazards
The perceived impacts inevitably vary according to the incident hazards. While it is observed that extreme events spell direct losses to life and livelihood, including reduced production from agriculture and livestock resources, the gradually escalating changes or disturbances in the biophysical parameters indirectly lead to further such losses.
Perception of stakeholders on their vulnerability
In Udham Singh Nagar, at the community level despite the lack of surface water resources, lack of water availability was not perceived as vulnerability due to present availability of groundwater resources and adequate capacity of farmers so as to tap the resource. Loss of cultivable land and consequent loss of revenue and property due to floods were however primary concerns. However, at the district level the long term impacts of climate change and over-abstraction of groundwater presented vulnerability to future scarcity and higher demand of water. Landless laborers and the poor who have close proximity to the flood plains were identified as the most vulnerable groups due to high exposure to extreme conditions. At the state level, the hilly districts were thought to face higher vulnerabilities due to dependence on a fragile ecosystem base. The region was also perceived have lower adaptive capacity characterized by a challenging terrain, limiting accessibility to important resources like water. Furthermore, depletion of groundwater resources and future scarcity of water due to present over-exploitation and increase in population, and thereby, water demand were perceived as contributors to future vulnerability to climate change.
In the case of Allahabad where agricultural is mainly rainfed, lack of water resources for irrigation and subsequently dwindling returns from the agriculture sector were primary concerns at the community level. Such impacts lead to migration of farmers in order to supplement their income. At the state level, it was observed that such detrimental impacts on agriculture and returns from the sector would lead to disenchantment with agriculture as an occupation and thereby lead to a decrease in the agricultural workforce in the future. A significant decrease in the total food production, changes in the crops selected for cultivation in response to bio-physical stresses and reduced productivity of reservoir based hydro-power plants were also flagged as important concerns that would add to present and future vulnerability.
Identified adaptation options
In entirety, the adaptation options identified across the three levels explored sectoral, multi-sectoral as well as cross-sectoral approaches to adaptation. The identified adaptation options could be categorized as (i) Research and Development, (ii) Technology and Practices, (iii) Institutional, (iv) Infrastructural and (v) Capacity Building measures.
At the community level, the focus was more on capacity building, infrastructural options and technology and practices that would provide tangible outputs. The identified options, to a certain extent, were found to be more reactive than preventive or anticipatory in nature (IPCC, 2001). The adaptation options proposed by the communities linked back directly to the impacts experienced due to the hazards and focused on providing quick short term reprieve from the impacts. The adaptation options suggested were from building reservoirs for water harvesting and storage, crop diversification, access to and training for adoption of water efficient technologies, livelihood diversification to afforestation and agro-forestry. With the exception of proposed monitoring of sand mining of the river banks to prevent future floods which is a regulatory measure and an institutional option. It was also observed that the community level stakeholders seek more devolution of power at the gram panchayat level.
Prioritized adaptation options
The results of the prioritization exercise show that in USN, the community level stakeholders preferred infrastructural improvement and institutional improvement over options for better technology and practices. Monitoring of sand mining from river banks and construction of stone embankments were both selected as priority options as monitoring of sand mining would resolve the root of the problem and being a regulatory measure, would not add to the costs. In addition to this, stronger stone embankments held together by wire meshes were preferred as they are expected to substantially decrease the impacts of floods whereas the currently adopted measure of building embankments with sandbags was observed to be ineffective as the sandbags are punctured by the force of water and collapses during floods. Livelihood diversification was the third most preferred option due to the presence of good markets for products from allied sectors. Capacity building of farmers for more water efficient farming practices was the lowest priority for the community as they were not very conservation conscious. The option of limiting cultivation of summer rice did not find any preference among the stakeholders due to the direct losses in revenue that it would spell for them. At the district level, however, public awareness about the need and methods for water conservation was identified as a priority due to low consciousness about the long term pitfalls of over exploitation of water at present. The need for better forecasting systems was the third most preferred option as it was felt to have more value as a preventive measure for a range of other climate related to impacts. Limiting cultivation of summer rice was the fourth most preferred option in interest of long term benefits with respect to conservation of water and maintaining groundwater levels. Increasing the range of crops that should be covered under insurance schemes was the next most preferred option as reactive measure for relief from the current impacts of climate change. High cost options like strengthening of embankment were lower on the priority while options like agro-forestry and afforestation were less preferred in comparison as they had already been undertaken to some extent on public land but resulted in failures. Relocation of people from the flood plains was the least preferred and lest feasible option due to the huge associated costs.
In the case of Allahabad, the community level stakeholders preferred construction of water harvesting and storage structures like, ponds and wells driven by the need to ensure resource availability in continuing water scarce conditions. Field bunding was preferred next due to the ease of implementation requiring only investment from the government while having a larger coverage which would help in conserving water within farm areas. Capacity building for and access to better technologies like drip and sprinkler systems was next best preferred option as they would aid in conservation of water. Options like agroforestry and afforestation were the least preferred options as they were considered as competing with agriculture for water, which is a common resource for both. Agroforestry was also not preferred due to the failure of crops in the fields due to the shade of the trees. At the district level, the Afforestation or large scale plantations was the most preferred adaptation option due to its multiple rewards including holding the fertile soil together and ensuring the maintenance of groundwater levels. The next priority was the promotion of water efficient irrigation technologies like drip and sprinkler irrigation systems to move forward from the current flood-irrigation system of irrigation which leads to excessive depletion of the resource. Lining of canals was considered an expensive option and was thereby a low priority. Construction of soak pits around tube wells was the least preferred option due to the limited extent of it application and also because it was felt that excess water from tube wells ultimately contributed to recharge of groundwater.
WP5 Indicators
Under Work Package 5, an indicator framework was developed for basin and case study areas to characterize the current state and to evaluate impacts of proposed adaptation measures. The indicators that were incorporated were based on water quantity, climate change and socioeconomic aspects. The framework was implemented on the Web using a GIS server (see http://gisserver.civil.iitd.ac.in/highNoon/HighNoon.aspx online).
Indicators have been formulated for the Ganga basin at Subbasin and district level as well as for the case study sites in upper, middle and lower Ganga basin. Several indicators were developed:
Waterbalance Indicators
Agricultural water stress as indicator
Agriculture faces water stress if the water requirements of crops are not met. To detect the severity and spatial occurrence of water stress in the basin, the relative evapotranspiration (ETrel) is selected as indicator. This indicator is part of the Aquastress framework and is expressed as the ratio of actual evapotranspiration (ETa) over potential evapotranspiration (ETp) (formula 5.1).
The indicator expresses the degree to which a certain land use type suffers from water shortage.
Evaluation of indicator analysis
To evaluate the indicator results, the values have to compare to target values or acceptable ranges. For relative evapotranspiration, it is generally recommended that this ratio does not drop below 0.70 throughout the year. An 'operational range' and an 'acceptable range' has been used for this indicator. If the indicator remains within the operational range, crop yield will deviate less than 10% from the target value. If the indicator moves out of the acceptable range yield reductions of over 20% occur. For ETrel, the operation range was set at 0.8-1 and the acceptable range at 0.7-1.
Additional Irrigation Requirement / Crop Water Deficit
This indicator helps us in finding the extra water required to supplement the crop water demand of crop in excess of water available from natural sources of water, such as rainfall, dew, floods and groundwater which seeps into the root zone. The amount and timing of irrigation depends on several climatic, soil and crop factors.
Blue Water Flow / Natural Water Resources
Blue Water Flow, or the Natural Water Resource, is traditionally quantified as the sum of the water yield and the deep aquifer recharge. Blue water refers to the water in rivers, lakes, reservoirs, ponds and aquifers. Irrigated agriculture typically uses blue water as a supplement to rainfall. Blue Water refers to the water that flows in groundwater and surface water (river, lakes). It represents the water that can be withdrawn for irrigation, drinking, industrial use or water that is available for in-situ water use like navigation.
Green Water Flow / Crop Water Requirement
The concept of green water flow was refer to the return flow of water to the atmosphere as evapotranspiration (ET) which includes a productive part as transpiration (T) and a non-productive part as direct evaporation (E) from the surfaces of soils, lakes, ponds, and from water intercepted by canopies.
Green Water Storage / Soil Moisture
Green water Storage has been generally used to refer to the water stored in the unsaturated soils. In irrigated agriculture, vegetation sometimes relies on green water storage in addition to blue water flow. Comparatively, green water storage and flow is a significant water resource, much larger (volume-wise) than blue water.
Green water storage was originally used as a synonym for soil moisture. More precisely, green water storage is the portion of rainfall which is held in the soil and is available for plants' consumption. The storage and movement of water in a soil is of great importance in scheduling irrigation efficiently and effectively. As the soil goes from wet to dry, the relationship of the water to the soil changes, as well as the type of movement and amount of storage.
Climate Indicators
The following climate indicators have been used:
Rainfall parameter
Consecutive dry days - Maximum number of consecutive days with RR less than 1mm (CDD unit Days)
-Consecutive wet days - Maximum number of consecutive days with RR greater or equal to 1mm, (CWD unit Days)
-Number of heavy precipitation days - Annual count of days when PRCP greater or equal to 10mm, (R10 unit Days)
-Number of very heavy precipitation days - Annual count of days when PRCP greater or equal to 20mm, (R20 unit Days)
Temperature parameter
-Cold spell duration indicator - Annual count of days with at least 6 consecutive days when TN less than 10th percentile, (CSDI unit Days)
-Diurnal temperature range - Monthly mean difference between TX and TN, (DTR unit Deg C)
-Warm nights - Percentage of days when TN greater than 90th percentile, (TN90p unit Days)
-Warm days - Percentage of days when TX greater than 90th percentile, (TX90p unit Days)
-Warm spell duration indicator - Annual count of days with at least 6 consecutive days when TX greater than 90th percentile, (WSDI unit Days)
Following are the indicators that are derived using the socioeconomic factors
-Cropped Area (Ha) - Area under each major crop like Maize, Mustard, Rice, Wheat and Sugarcane in Hectares for each districts.
-Crop Production (t) - Crop Production under each major crop like Maize, Mustard, Rice, Wheat and Sugarcane in metric tons for each district.
-Crop Yield (t/Ha) - Crop Yield under each major crop like Maize, Mustard, Rice, Wheat and Sugarcane in metric tons per hectares for each district.
-Irrigated Area (Source wise) (Ha) - Irrigated area under each source like Canal, Tank, Tubewells, and Other source in Hectares for each districts.
-Irrigated Area (Crop wise) (Ha) - Irrigated area under each major crop like Maize, Mustard, Rice, Wheat and Sugarcane in Hectares for each districts.
-Total Population - Male
-Total Population Female
-Literacy Rate- Male
-Literacy Rate - Female
The GIS based Indicator Framework
A GIS based framework was built where all indicators were incorporated for general dissemination. These indicators are consolidated at subbasin and district scale for the convenience of the users. Subbasin information can be used by farmer or people working at micro level, whereas district is included for administrative purpose. The framework can be accessed via: http://gisserver.civil.iitd.ac.in/highNoon/HighNoon.aspx
The framework is a combination of two parts:
-An indication of the level of water stress at sub-basin level
-An indication of the level of water stress at district level
The following are the main features of the GIS Indicators framework.
-Easy to access
-Easy querying
-No installation required
-Linkage to Spatial location (on Map)
-Comparison between scenario
Care has been taken to make it user friendly and at the same time serve the user community with functionalities to retrieve the relevant information.
Adaptive Measures
To see the change / impact in the adaptive scenario, several adaptive measures suggested in the first stakeholder workshop were modelled. Various small interventions and diversions were implemented within the watershed. Repercussion of these intervention and diversion could be visualised with the GIS indicator framework.
Potential Impact:
HighNoon focused on the development of adaptation measures in Northern India and is a collaborative effort between European, Indian and Japanese partner institutes. The project worked on improved understanding of the biophysical and the social system, at present and in the future. HighNoon applied a trans disciplinary research approach to climate change adaptation. Knowledge on climate change and climate variability of stakeholders at different levels was integrated with scientific knowledge derived from improved regional climate modelling and socio-economic scenario development. The involvement of stakeholders at different scales, ranging from individual farm level to national government, makes the outcomes of the selected adaptation options of great value.
HighNoon has formulated a set of recommendations for policy makers (Moors, E. J. and HighNoon team, 2012 Adaptation to Climate Change in the Ganges Basin: A Policy and Science Brief, Northern India. Alterra, Wageningen University and Research Centre, Wageningen, The Netherlands):
-The rate of melt and accumulation of the Himalayan glaciers is still not well understood. More research is needed on benchmark glaciers so as to better understand their dynamics, evolution, and response to climate change.
-Extension of the monitoring network of benchmark glaciers, will improve our capacity to project melt water changes into the future. Such a monitoring network should be taken to a level so as to represent the large diversity of Himalayan glaciers.
-Using the identification of critical glacier lakes, lake monitoring programs, installation of early warning systems and capacity building in populated places downstream must now be developed.
-To improve prediction of precipitation in climate projections more research is needed to understand the regional and global mechanisms driving the Indian Monsoon. Such understanding shall also be very useful in making daily and seasonal forecasts for precipitation that can be used for tackling floods and droughts alike.
-When limited in financial resources, invest either in regional climate models for spatial detail or in multiple general circulation models for spread in emission scenario outcomes.
-To support decision making on climate change adaptation, climate science information needs to be made available to stakeholders at all levels in an understandable format and at a scale and detail which is relevant to stakeholders.
-Robust climate adaptation decision making, needs to account for both the uncertainty in future climate projections and for natural climate variability, which may lead to short-term variation in climate change trends.
-At present, adaptation measures in India are planned at national and state level, not taking into account the physical boundaries of water systems. To prevent adverse effects in other parts of the river basin, planning should be tailor-made at the river basin scale.
-To increase resilience, adaptation plans should be made locally specific. Enabling the exchange of case studies and good practices will facilitate the development of robust solutions
-Large scale water storage for agriculture is not a viable option mid- and downstream of the Ganges basin, partly due to topography. Focus should rather be on more local distributed storage. That shall also help in inducing natural recharge to replenish the ever reducing groundwater.
-Recent scientific developments have led to an increasing skill in long-term forecasting on the seasonal, annual and decadal scales. These forecasts may provide important information to decision makers. Further development of these forecasting skills should be encouraged
-To enable quantification of cost and benefit analysis of adaptation options, more empirical research is needed integrating participatory qualitative methods and quantitative model based outcomes.
-A platform for the exchange of information and good practices regarding climate adaptation is recommended.
-Making bio-physical and socio economic data available to the research community will greatly decrease the uncertainty in research outcomes and consequently increase the value for society of these research results.
-Results from the HighNoon project could be transferred to other countries trying to achieve the Millennium Development and Sustainability Goals by Green Economic Growth
Towards implementation of adaptation options: SmartWater measures
HighNoon has not only performed research but worked toward the implementation of solutions.
Implementation of adaptation is mainly about enhancing available technology as opposed to developing new technology. Most of these technologies, like new crop varieties or rainwater harvesting structures, are already part of existing rural or urban development schemes. With relatively simple measures their effectiveness, and adaptive capacity, can be improved. HighNoon has developed several 'Smartwater measures'. An example is 'flexible use of water harvesting reservoir'. One of the preferred adaptation options from the HighNoon stakeholder consultations is the storage of rainfall runoff in water harvesting structures, an ancient Indian method. However, traditional systems do not always offer the flexibility and water delivery security needed now and in the future. In selected agricultural fields the adaptive capacity of farmers in small reservoir supported irrigation schemes was improved. The traditional outlet of the reservoir was replaced by a SmartWater outlet including a flexible gate, measurement weir and rainfall gauge. With this outlet the outflow could be regulated, allocated and monitored, allowing for a more flexible use of water combining rainfall, reservoir stored water and groundwater. This resulted in an increased cropping area of almost 60% and a reduced vulnerability to year to year rainfall variability. Implementation of this SmartWater measure will require: cooperation with government or local authorities, (depending on the size of the reservoirs), upgrading of control structures and training of Water User Associations.
Future research challenges
To improve imbedding of research results in society and to further progress science, HighNoon organised a number of events bringing together stakeholders, policymakers and scientists:
-Open science seminar 'Future of water resources in India under a changing climate' New Delhi, May 13 - 14, 2009;
-Roundtable discussion 'Bi- and multilateral Indo-European cooperation on climate research and innovation', New Delhi, November 28, 2011;
-Special event 'Adapting to the changing climate and water resource availability in the Ganges basin'. 12th Delhi Sustainability Development Summit, New Delhi, February 2-4, 2012;
-Trans-Himalayan workshop 'Glaciers, snow melt and runoff in the Himalayas' Kathmandu, Nepal, February 6-7, 2012;
-HighNoon Open science and policy seminar 'Climate change and adaptation', New Delhi, April 4, 2012.
Gaps - Glaciers, snow and runoff
-More continuous monitoring on representative benchmark glaciers.
-Add benchmark catchments taking glacier, snow and runoff divides into account.
-Focus on seasonality and inter-annual variability.
Gaps - Extremes of precipitation and temperature
-Collect measurements at more extreme (e.g. higher altitudes) locations under more extreme conditions.
-Develop regional climate projections from more extreme emission scenarios.
-Move from analysing averages to extremes (and variability in extremes).
-Increase detail in terms of spatial and temporal resolution when it comes to impacts especially in urban areas.
Gaps - Adaptation
-Increase common knowledge by enabling comparison, evaluation and monitoring of approaches, e.g. adjust www.climate-adapt.eu for India.
-Development of regional climate services.
-Integration of land use scenarios and adaptation in planning e.g. food security and urban planning.
-Integrate policies to prevent opposite effects
HighNoon ensured a maximum dissemination of the project results by a broad audience (scientists, policymakers, planners). The project successfully enabled a successful cooperation between the scientific consortium and public and private Indian and European organisations.
The dissemination of scientific results of HighNoon was stimulated through the participation in several international conferences and other scientific meetings. It organized a HighNoon-sponsored side event at Delhi Sustainable Development Summit (DSDS) in Delhi in February 2012. This summit was a high level policy conference that provided knowledge and stimulated debate on various aspects of sustainable development. It is the only forum on global sustainability issues, with a focus on problems relating to the developing world. In addition, a HighNoon, DFID, SDC sponsored workshop was held in Kathmandu (6-7 February 2012) at the premises of the International Centre for Integrated Mountain Development (ICIMOD), and dedicated to Climate, glaciers, snow and runoff in the Himalayas.
HighNoon Open Science Policy Seminar (Delhi, 4 April 2012)
The open science policy seminar was organised in April 2012 as concluding event of the HighNoon project. More than 60 participants from science, policy (Indian and state governments), governmental and non-governmental organization participated in active discussions. It was a daylong event and final outputs from all work packages were shared with stakeholders through multiple presentations and through the conduct of interactive sessions with policy makers to understand how the gap between the scientific findings and policy making can be bridged. The Ministry of Science and Technology appreciated the study focus and expressed interest in learning about the findings and the gaps that emerge in research which then need to be considered for further support. The seminar provided an opportunity for stakeholders to interact with the project team.
Highnoon Special Issue
The HighNoon methodology and results are further disseminated to the scientific community in the form of a peer-reviewed special edition of the major scientific journal 'Science of the Total Environment', where ca. 12 HighNoon papers are in the process of being published.
The HighNoon data sets provide a valuable resource to the entire community in the future and are public accessible after granting access. The Climate Scenarios work package has provided the most detailed set of regional climate information available for the Indian subcontinent including the Himalayas. These data are able to inform impact studies and inform adaptation policy. Although not formally HighNoon project partners the database has been made available to scientist working in the region. These collaborators include researchers from Sri Lanka, Pakistan and Nepal.
To respond to the need to train young scientist in the Asian countries, HighNoon organised a HighNoon Spring School in Delhi, April 2012. Thirty highly qualified students from 4 Asian countries (24 from India, 3 from Bangladesh, 2 from Nepal and 1 from Thailand) participated. The school consisted of lectures, discussion and practise modelling work. The overall feedback of the student was very positive with many expressing an interest in learning more about climate change and water resource management.
The project web site was updated regularly and links with existing web sites and electronic networks were improved to allow rapid exchange of information of ideas to researchers and end-users. The website was also be used to publish information such as factsheets and newsletters that provide up-to-date information on the scientific results emerging from the project and how they can be used/adapted to other mountain regions of the world. The website was also be used to disseminate recommendations for adaptation strategies and to help in policy choices.
HighNoon Policy Brief
The policy brief contained key outputs from all the work packages of the study. The policy brief was disseminated during the HighNoon Open Science Policy Seminar. Further, it was also sent to all relevant stakeholders outside the seminar.
Model applications
The LPJmL model is currently being combined with the bio-economic model WaterWise. It is expected that this coupled model can be used to evaluate a much broader set of adaptation options. There is a lot of interest shown in this coupled framework (also in other basins), and it is expected that results of LPJmL-WaterWise will be much more policy relevant than the pilot study conducted in this workpackage so far.
GIS indicators
The GIS Indicators framework that was developed allows future users to systematically assess natural resources in a temporal and spatial manner. This can help to understand the extent to which water resources are managed to meet the social, economic and environmental long term needs spatially. The GIS based framework helps users to interactively explore the system in terms of various features of the Ganga system along with the SWAT outputs at various levels of details of their choice. This system serves as a dissemination tool for creating consensus by presenting various options of development to the stakeholders and policy makers in an understandable manner.
Dissemination material
Local pamphlets: HighNoon has produced several pamphlets in English, Bangla and Hindi. In order to introduce the HighNoon study to stakeholders a short pamphlet describing the study objectives, member institutions, methods and expected outcomes was shared with stakeholders. The pamphlets were faxed to various departments at state and district level, and was handed personal at block levels.
Factsheets: Factsheets for socio economic projections have been prepared. The factsheets present outputs from socio economic projections, both from downscaled global projections and district level projections. Further, the factsheet presented projections for water demand, food demand and the subsequent implications for the health.
Video documentary from the case study sites: A short video documentary Ganga Dairies based on stakeholder consultations was produced. The documentary was an attempt to capture diverse issues in the basins and give voice to the concerns of people under represented. The video documentary was screened during the HighNoon Open Science Policy Seminar as well as presented online in the HighNoon project website.
High Noon presentation at India Water Forum held at New Delhi to share some of the key findings of the study: Interim findings of modeling studies were shared with stakeholders from the water sector and through an interactive session in the water forum an attempt was made to sensitize key stakeholders on some of the challenges of the assessing a large basin such as the Ganges.
Lessons from stakeholder interactions
Over the past decade and more, climate change and its impacts have received considerable attention so as to highlight it as an issue of much interest and concern among the masses. This was very well illustrated throughout the stakeholder consultations undertaken as part of this work package, owing to the response and interest our activities generated. At each stage of stakeholder consultations, a background document was sent to stakeholders explaining the rationale for the consultation and specific activities during consultations. The High Noon project provided a platform to not only create the kind of information that stakeholders need but also the opportunity to disseminate the information generated and gain stakeholder feedbacks.
Dr E.J. Moors
ALTERRA, Wageningen University and Research Centre
6700 AA Wageningen
Email: eddy.moors@wur.nl
HIGHNOON project website address: http://www.eu-highnoon.org
Final Report - HIGHNOON (HighNoon: adaptation to changing water resources availability in northern India with Himalayan glacier retreat and changing monsoon pattern)
Ultimo aggiornamento: 4 Giugno 2013
Numero di registrazione: 56340
Permalink: https://cordis.europa.eu/project/id/227087/reporting/it
A proposito di CORDIS
Gestito dall'Ufficio delle pubblicazioni dell'UE


text:
package ch.qos.logback.core.joran.replay;

import org.junit.runner.RunWith;
import org.junit.runners.Suite;
import org.junit.runners.Suite.SuiteClasses;

@RunWith(Suite.class)
@SuiteClasses({ FruitConfigurationTest.class })
public class PackageTest {

}

redpajama_set_name: RedPajamaGithub


text:
topsportsbet | December 7, 2021 | | No Comments
It appears the post-season is starting to gather pace in the MLB and the latest news sees the San Francisco Giants re-sign right-hander pitcher, Anthony DeSclafani.
Having signed for the Giants before the start of last season on a one-year $6 million deal, the Giants have moved quickly to secure him on a long term contract after some impressive displays.
Posting a 13-7 record and 3.17 ERA over 167 2/3 innings, he had the best season of his entire career, which makes for a highly promising next few months.
Getting better with age?
At 31, it could be argued that the player is in the peak of his baseball career and last season indicated that the trend will continue.
Giants' president of baseball operations shared his delight at the player committing to a long term deal, saying:"He obviously had a really nice year for us.
"You know, beyond his individual stats, we were 21-10 in games that he started. So the team had a lot of success when he took the ball, which obviously is of the ultimate importance.
"His interest was in doing a multiyear deal, and we actually think we're going to get a sort of really comfortable and secure pitcher in Anthony now that he's on a multiyear deal. So it just seemed like [a multiyear contract] was the best fit for both parties."
The three-year deal is worth a cool $36 million and DeSclafani will no doubt be wanting to carry on in a similar vein of form.
Continued success for the Giants?
In his debut season for the west coast franchise, DeSclafani helped the Giants to win the National League West title, as well as a record 107 games for the side.
Having made his MLB debut in 2014 with the Miami Marlins, the pitcher then signed for the Cincinnati Reds in 2015,where he spent five seasons.
The Giants are clearly an ambitious franchise and one that is on the up – DeSclafani can certainly help with continued success.

redpajama_set_name: RedPajamaCommonCrawl


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text:
Worldview-3 — Satellite That Could Allow Google and U.S Government to See Your Face from Space
August 13, 2014Swati Khandelwal
Majority of my articles are related to government spying, privacy and security issues of your online stuffs and also measures that you can adopt in protecting yourself from being spied on. But, your all efforts will soon be of no use - someone is about to secretly track your every footstep.
Google will soon get an eye in the space that will be enough powerful to see your face, thanks to the new satellite, WorldView-3 satellite, which is scheduled to launch later today (11:30 a.m. PST) from California's Vandenberg Air Force Base atop an Atlas 5 rocket by Lockheed Martin Commercial Launch Services, according to Motherboard.
DIGITAL EYE IN SPACE
WorldView-3 satellite is developed by a US-based company DigitalGlobe, one of the world's leading global content providers of high-resolution earth imagery, supplying most online mapping services to the US government and NASA.
The satellite contains :
Exelis-built 1.1 meter aperture telescope
Primary visible/SWIR sensor
Ball Aerospace-developed CAVIS instrument, which stands for Clouds, Aerosol, water Vapor, Ice, and Snow.
The Ball Aerospace will monitor the atmosphere and provide appropriate data when atmospheric conditions obscure objects on Earth.
HIGHEST RESOLUTION IMAGERY
Two months ago, the U.S. government imposed legal restrictions on high-detail satellite imagery, although military satellites were free to use higher resolutions. Companies like DigitalGlobe were limited to capturing satellite imagery from 50 centimeters square of ground space per pixel, but are now free to capture satellite imagery up to 25 cm resolution — twice as detailed as the previous limit.
Now, today's launch of WorldView-3 satellite will offer DigitalGlobe customers images with four times the resolution of current machines. Its short-wave infrared sensors will also be able to capture images regardless of cloud or smoke cover. It will be able to photograph 680,000 square kilometres every day.
WHO WILL HAVE ACCESS TO IT
In short, it means that regular DigitalGlobe customers including Google, Microsoft, NASA, and multiple US federal agencies such as National Geospatial-Intelligence Agency — played a pivotal role in the seizure of Osama Bin Laden, will eventually be able to zoom in far closer than they are currently able to, and make out much more detail.
NEXT GENERATION SATELLITE
DigitalGlobe, which already has five satellites in orbit, is currently lobbying the US government for even further relaxation of the resolution restrictions, down to 10 cm per pixel maximum.
"At 25 centimeters, the images will be detailed enough to classify the make of a car," the report states. "If the restrictions relax further, the plate number or owner's face could come into clear view."
GOOGLE WANTS YOUR MORE CLOSURE LOOK
Google, which recently acquired satellite company Skybox for $500m, also has plans to collect its own high-resolution satellite images in the future, with launch of 24 of its own satellites by 2018, which will capture images of the entire planet three times per day at a distance closer than 1 meter of resolution, and 90 seconds of video at 30 frames-per-second. The company has already launched two of its own satellites via Russian rockets.
Digital Globe, Google earth, nasa, Privacy, satellite communication, spying, surveillance, Worldview-3 Satellite


No one has to earn the gift of grieving.
Riding the tidewash, here at Marion Bay.
Having set down a bowl of peppermint tea.
The futility of trying to repair.
I was about to unwrap my seventy-fifth year.
And all his water-birds had gone to god knows where.
So sudden the blank water, the blank sky.
Someone might say: But this will pass. Not so.
Each time it enters us it leaves a stain.
The stain deepens and it will remain.
Then this. We can neither speak nor kiss.
Are possible. Hang on to that. Hang on.


text:
Top 30 Players of Chinese Artificial Intelligence Chip Industry
By Wang Zekun Apr. 8, 2019
EqualOcean published the top 30 players of Chinese artificial intelligence chip industry, in terms of the valuation, technology achievements and the attention rate of capitals.
AI chip manufacturers are competing. Photo: John Cameron on Unsplash
The artificial intelligence industry experienced an explosive increasing in recent years. This new technology brings a great chance for the updating and innovation of science magnates, and also bring opportunities for startups to break the existing pattern of their industry. With several years of development, artificial intelligence has already gained the ability to promote the new-technology revolution, and the industry change. In developed countries, artificial intelligence has become the strategic field that could help them promote innovation and creativity and occupy the advantages in the future while consolidating the core-competence. The research of artificial intelligence technology represents the developing direction of future technologies and industries and the developing trend of the global intelligent economy and green economy.
The acquisition and store of massive data and the show of computing ability of artificial intelligence has a close connection with the hardware – chips. In this way, the development and manufacturing of chips become one of the most important chains in the artificial intelligence industry and attracts more and more investors and capitals. In addition, it's an industry with great potential. According to Morningstar, the international fund ranking institution which is highly authoritative, by 2021, the market size of the global artificial intelligence chips would be more than USD 20 billion.
The chips, as the essential hardware of artificial intelligence technology industry, has attracted great resources from the capital, government, and society. In the future, with the promotion actions and help from the capital market, Chinese AI chip manufacturers could have a better environment for research and development. Since the U.S. has a strong technology advantage in the development of CPU/GPU, the AI chips with ASIC or FPGA structure, and the neuromorphic chips may bring new opportunities for Chinese enterprise.
The List of Chinese AI Chips Manufacturers from EqualOcean
With research and study, EqualOcean gives the list of Chinese AI chips manufacturers. There are 30 enterprises selected by the list, which represents the leading technology level of the Ai chips manufacturing level of China. The enterprises in the list are in alphabetical order, and they all meet the selection standard of EqualOcean.
Several factors are concerned while selecting enterprises. First of all, EqualOcean does not cover companies at a very early stage. All the enterprises from the list have a valuation with more than CNY 100 million and growing at a fast speed. For famous AI chip manufacturers such as Cambricon and Horizon Robotics, the valuations are more than USD 1 billion. Plus, EqualOcean believes that the research and development level of the enterprises should be paid attention to. All the enterprises belong to the list have a strong R & D team which has the ability to independently develop the structure of AI chips. Last, all the companies belong to the list are welcomed by the capital market, and during the past 3 years, these companies have completed several series of funding. With these standards, EqualOcean selected the top 30 players in the AI chip industry, all of them has great advantage in technology and financing.
Currently, the artificial intelligence chips industry is in an early stage and all the countries are competing in this field. The Chinese government pays great attention to the AI industry and published a series of policies to support it developing. On the other hand, the massive data and application scenarios would further promote the Chinese AI chip manufacturers. Only with close cooperation and the combination of technology, market and talents could the enterprises stand out in this industry.
AI Chip Classification Methods
Currently, there is no appropriate definition of artificial chips. Generally speaking, all the chips that meet the requirement of AI needs are AI chips. Actually, under most application scenarios of artificial technology, people could use GPU and FPGA, which are the general chips to achieve artificial intelligence aim. However, with the development of artificial intelligence technology, the specifically designed AI chips would be the mainstream in the future and will totally change the traditional computing structure. The development of AI chips is strategic and meaningful and would also change the competition pattern in the world.
In order to deal with the big data, people used to use the high-performance processor to assist the MCU. However, with the elongation of the time period of Moore's Law, the number of facilities which could be integrated by the processor reached its upper limit, and people need to change the structure of the chip in order to meet the requirement of the increasing data. That's why it is essential to develop an artificial intelligence chip.
There are three ways to classify artificial intelligence chips.
AI Chips Classified by Technology Structure
The first one is classifying the chips by its technology structure. In this method, the chips can be divided into 4 types. The first one is the chips based on general chips such as GPU. For example, NVIDIA developed different kinds of GPU to serve different intelligent computing facilities and build the NVIDIA CUDA platform to improve programming efficiency.
The second kind of AI chips is the fully-customized chips targeting on the deep learning algorithm. Due to the large energy consumption of GPU and FPGA, and the largely increasing AI application, it is essential to develop the specifically designed chips for the AI industry. Professor CHEN Yunji (陈云霁), the founder of Cambricon Technology, used to said that with the specially designed codes and store units, it is possible to improve the intelligent management efficiency of the deep-learning model into more than 10 thousand times. These kinds of chips are designed based on FPGA and can be half-customized in order to meet the different requirements of computing. In this field, China has already ranked the top 1 in the world.
The third one names ASIC which is fully-customized for the specific use. The ASIC has advantages in energy-consumption, reliability, and size, especially on the mobile end which requires higher performance and lower energy consumption. However, the ASIC chips cannot be enlarged, due to its technology structure. Google's TPU and Cambricon-1A are all these kinds of chips.
The last type is neuromorphic chips. In this field, the developing of chips are not only limited to accelerate the deep learning algorithm and achieve artificial intelligence in specific situations, but also develop the technology structure that breaks the Von Neumann Architecture, and solve the general intelligence computing problems. There is a long way to go before the commercialization of the neuromorphic chips, even the massively production of them. However, in the long term, the neuromorphic chips are the ones which are most likely to bring a revolution of the computer industry.
AI Chips Classified by Its Function
The AI chips can be classified by its function and there are two types of chips, training, and inference. The training refers to develop a complicated neural network system by big data. During this process, a lot of marked data would be used to train a related system and require it to achieve some specific functions.
The inference, however, means that by using the model which have already been trained to combine with the new data to get more conclusions. Currently, Google is the only manufacturer which could compete with NVIDIA. However, tradition CPU and GPU manufacturers such as AMD and Intel are trying to enter the training market.
In the AI system, the training and inference are processes which are relatively independent, and they have different requirements about the computing ability. Training requires a high computing performance and a higher accuracy. During the training process, a large amount of data is required to achieve the generality of training in order to achieve different kinds of study task. Inference requires relatively lower performance and accuracy. Inference's aim is to finish some special tasks and deliver the results to the users. In this way, inference focuses more on the bettering of user experience.
AI Chips Classified by Its Application Scenario
The AI chips can be classified into 2 types by its application scenario, on the cloud, and on the devices. The training period of deep learning requires a large data quantity and a huge computing complexity. In this way, the training process can only be operated in the cloud platform. The cloud AI chips has a strong performance and could support a large amount of computing. In addition, it could flexibly support different kinds of AI applications no matter they are pictures, voices, and videos. Currently, almost all of the Internet AI ability requires cloud AI chips.
On the devices side, there are a large number of intelligent devices and there's a great requirement difference between different devices. In this way, the inference process cannot be achieved on the cloud platform but can only be operated on the devices. In this way, the devices are required to own the computing ability which requires an AI chip that embedded inside of the device. These kinds of chips have a smaller size and lower energy consumption, while its performance is not as strong as the cloud chips. Normally, these chips can only support one or two AI ability.
China's AI Chips Industry
China has become a country with abundant data. It is expected that by 2020, China will own 20%-25% data of the whole world. To manage such a huge amount of data, it is necessary for China to develop its own chips in order to meet the market requirement. With the promotion of both the government and capital, China's artificial intelligence chips industry increased rapidly. There are several features of China's AI Chips Industry. Many new kinds of start-ups such as Horizon, ThinkForce, IntEngine, etc. These kinds of enterprises have a leader with a strong artificial intelligence background and a balance between technology development and business. On the other hand, many traditional chips manufactures are entering into the AI chips industry. For example, NationalChip, Vimicro, which used to be the traditional SoC processor chips manufacturers. These kinds of enterprises have a more complete experience in the designing of the front-end and back-end and could do better in product development and testing.
Currently, the main application scenarios of Chinese artificial intelligence chips are security industry. However, the AI chips targets to other fields such as automatic driving, medical and intelligent home are relatively rare. The security industry has a huge amount of data which could help with the training period of deep learning. On the other hand, the security has enough financial support to the development of AI chips which could meet the requirement of its development.
Currently, some of Chinese AI chip manufacturers have already mastered the world-leading technology in some fields of the innovation of AI chip. For one thing, in the basic research fields, China has advantages in memory computing, isomerism and brain-like computing and reconfigurable computing chips. On the other hand, there are many AI talents move back to China to promote the AI chip industry. According to the data from Linkedin, from 2013 to 2016, the annual average increasing rate of the overseas AI talents that graduated from foreign universities and move back to China was 14%, and the annual average increasing rate of the AI talents who had overseas working experience and move back to China was 10%.
In a world, we have confidence in the potential and future of Chinese artificial intelligence. With the abundant data and industries, AI chips have a great market in China. However, in terms of technical advantages, it still requires a long way to go to gain better production. The AI technology is developing rapidly which generated a higher requirement for the AI chips. In the future, EqualOcean believes that both the government and the capital market would give further help to the AI chip industry, and the data resources and technical help would bring the AI chips industry to a higher degree.
Wang Zekun
Enterprises Information
Huawei Technologies provides infrastructure application software and devices with wireline, wireless, and IP technologies.
CATEGORIES: Telecommunications
Cambricon
Cambricon builds core processor chips for intelligent cloud servers, intelligent terminals, and intelligent robots.
Horizon Robotics
Horizon Robotics is an artificial intelligence computing platform integrating algorithm, processor design, software, and hardware capabilities.


text:
ABR Projects Ltd, 43 Broomgrove Road, Sheffield, S10 2NA
Phone : 0114 263 1451
Retail Pod, Star City, Birmingham
ABR awarded to construct new 3,000 sq.ft oval shaped retail unit under a full design and build contract at the entrance to the existing retail park at Star City, Birmingham.
Given that the design of this building is oval shaped and its location being at the entrance of the existing retail park, it proved to be one of the most challenging builds we have undertaken in recent years.
The works consisted of: diverting all existing incoming live services to the centre, including water, electric, gas, etc, whilst keeping the centre trading; pile foundations were installed in areas to a depth of between 15-17 meters; structural steel frame; along with faceted glazed walling system and curved cladding panels.
The project was completed on time and on budget with all parties involved acknowledging the effort and expertise required throughout the build to ensure Abr achieved the overall objective of delivering a complex build that was a true reflection of that of the original concept design.
Star City, Birmingham
New design and build.
If you can envision it, then we can build it. Tell us more about your project or project ideas
© ABR Projects Ltd 2020
Safety, Health, Environment & Quality
Address: 43 Broomgrove Road, Sheffield, S10 2NA
Email: info@abr.co.uk
website by ionitltd


Anyone who watched this season of Britain's Got Talent would have been baffled by Stevie Starr aka The Regurgitator. Well, I've seen how he does it.
Warning: Read on only if you want to spoil the magic of it.
Don't say I didn't warn you because after you know how it is done, the act is not amazing anymore.
Did you see it? Watch closely from 1:26 to 1:34. Saw it?
Still di dn't see it? @1:29 the bulb should be in his stomach, but you see it when he puts his special 'sound effect'. Check the image, the bulb is still there in his mouth – you can clearly see it. He keeps it in the back of the mouth. When 'swallowing' he uses his tongue to make it look like he really swallowed it.
I must say he is really brilliant at what he does. Unfortunately the camera was in the wrong position in this video revealing his secret.
Well there you go. What did you think of Stevie Starr and his act? Do you agree with this explanation? Leave a comment.
Eurgh… that kind of puts me off.
that means that amanda (the judge) was in on it when she gave him the ring. he had 2 rings. one with the lock already on it already in his mouth and the one we got to see. he then just "regurgitated" te one that was already in his mouth, right?
I would think so. Would you really give your engagement ring for someone to swallow?
@florin3k3, I disagree, he could do it without her knowing. You'll notice he didn't have her put the ring in his mouth. As he turned towards the stage, his two hands come together as he locks another lock around her ring. He hides this in his hand as he presents her ring to the audience back at the table. At this point, the trick is already done and the lock and key he gives to Amanda is strictly theatrics.
He expels the original lock/ring combo and a key that he already had in his mouth, leaving the lock/key combo in his mouth.
His ability to sort the items that are in his mouth or back of his throat is still commendable.
Oh jesus christ…Any time someone thinks that a TV judge/host is in on the trick, you can automatically tune them out as being unworthy of human communication.
no, Amanda was not in on it. He did what any good magician does, and that is slight of hand. watch the video of when he takes her ring…he turns his back to the judges/audience and fiddles with something in his hands. could it be….he is putting the lock around the ring before he gets back to his place on stage?? yes.
when he swallows the ring, it's already on a lock….so when it comes back up it's on the same original lock. the 2nd lock that goes in stays in there until after he's gone off stage.
You'll notice he never talks with the larger objects in his throat…he only makes his scream noise.
No arguing the guy has major talent but without either keeping them stacked or putting them in 5 different places, He would need to "feel" the surface of each coin with his stomach innards to feel the various number patterns. The fact that the objects come up dry, in my opinion, does not help one believe they are actually coming from his stomach unfortunately.
i'm not sure if you've kept up with his run on america's got talent this year, but it seems the proof you were looking for is here.
he clearly says "oh boy" after he swallows the pool ball, and i cant seem to see any yellow in his mouth when he brings it back up. id really like to know how he does it. either he has seen this article and improved his technique or the explanation of his trick isn't sound proof.
He doesn't swallow anything I think. Maybe he has a cleft?
How do you explain the sugar trick ????
One possibility is something called Magic Sand…I think YouTube has a few videos.
How do you explain the one where he swallows gas. Talks for a bit, then breathes fire about five minutes later? He did this one live at my Su bar.
Did he drink alcohol before breathing fire?
Fire-breathers don't use gas. They use a liquid similar to lighter fluid. A less impossible feat, but a much more impressive misdirection, don't you think?
how does he spit out the sugar dry in his performance on czech got talent ????
It is not a trick but real, the biljardball and so on are really swallowed, it isn't a trick and so it can not be revealed as one!
You guys are so dumb! Apparently, you all know NOTHING of Hogwartz and their curriculum. He studied under Dumbledor, you know. That's what I heard from this girl who lives next door to this guy who shouts everything's he hears from his cousin's uncle's sister's neice.
You can store or hide objects behind your tongue at the epiglottis and you can easily put it out. I tried that with large fruit seeds. For the coins, maybe there is a special pouch at his upper palate so that he can easily manage small objects with his tongue.
How then, did he keep a cup of sugar and a glass of water in his mouth, then regurgitate the DRY sugar? Of course, how did he do that if it WAS in his stomach?
You can actually see the light bulb as you stated, but he still amazes me.
I think I saw the slight of hand w/the lightbulb. (I think)! However, a gastro-intestinal surgeon watched it and said that there was any explanation on all he does it. BUT……….another magician said that this type of act was something that was done in those old circuses before TV. So who knows?
I knew it was magic but I'm glad you showed us how it's done. I'm not into this guy at all. It kinda grosses me out.
Idiot. If you watched the original video he said he can bring up the key while the bulb is in the way. If you actually watch the video you would have seen him say that. But hey, good job with your detective work there.


The Woman's Clinic participates with the following insurance companies and PPO Networks. Some PPO networks contract with multiple insurance companies, so if your insurance company is not listed, please check your insurance card to see if a PPO network is listed or call your insurance company to see if our doctors participate with your plan. We do NOT participate with any HMO type plans.
Medicare, and Medicare PFFS plans. If you have non-traditional Medicare and your card has the letters "PFFS", we do participate.
We will file with any insurance plan, except TennCare, for a decision on a claim; however, the ultimate responsibility for payment rests with the patient. Your insurance coverage is a contract between you and your insurance carrier and the policy holder always has the best access to coverage and policy details. Always self-verify if you are unsure. There are constant changes in the insurance industry and we are not always aware of these immediately.


Spring is here! Celebrate with these fantastic frosted treats for kids.
Heat oven to 350?F. Line 16 standard and 16 mini muffin pans with paper liners. Prepare cake mix according to directions, except substitute 1 cup of buttermilk for the water and increase the eggs to 4. Divide batter among muffin cups, and bake mini cupcakes for 15 to 20 minutes and standard cupcakes for 25 to 28 minutes. Recipe makes 8 chicks and 8 lambs.
Tint frosting yellow. Ice 8 standard and 8 mini cupcakes. For wings, dip opposite sides of the larger cupcakes in jimmies. Roll edges of mini cupcakes in jimmies. For the chick faces, place the mini cupcakes on their sides on top of the larger cupcakes. Flatten the red gumdrops, and cut 2 crowns out of each gumdrop. Cut orange gumdrops into beaks. Attach crowns and beaks to mini cupcakes. Pipe eyes using brown icing.
Ice 8 standard and 8 mini cupcakes with vanilla frosting. Cut 16 chocolate taffy pieces in half lengthwise. Shape into 2-inch-long logs. For noses, shape remaining taffies into rounded cone shapes. Cut marshmallows in half, using clean scissors. For ears, dip 16 marshmallow halves into pink sugar; set aside. For each mini cupcake head, place the cone-shaped taffy close to one edge, arrange ear pieces at opposite edge, and fill center with marshmallow pieces. Pipe eyes with brown icing. Place mini cupcakes on their sides on top of larger cupcakes. For legs, add 4 pieces of cut taffy to each lamb. Fill in top of large cupcake with remaining cut marshmallows.
Heat oven to 350?F. Line 6 standard size and 24 mini muffin pans with paper liners. Prepare cake mix according to package directions. Divide batter among muffin cups and bake mini cupcakes for 15 to 20 minutes and standard cupcakes for 25 to 28.
Tint 3 tbsp. frosting yellow, 2/3 cup frosting light purple, and the remaining frosting pink. Ice 1 standard-size cupcake with yellow frosting. Roll edge in yellow jimmies. Place cupcake in the center of plate. Ice 7 mini cupcakes with the purple frosting and roll edges in purple jimmies. Repeat with 13 mini cupcakes using pink frosting and pink jimmies.
Arrange mini cupcakes around the yellow cupcake as shown. Cut the flat taffy into leaf shapes and arrange next to the rope taffy for stem. Freeze the remaining cupcakes for another use.
Copyright ? 2006. Reprinted with permission from the April 2006 issue of Parents magazine.


text:
Q: Instruct CodeDomProvider compiler to show errors and warning messages in English language? I'm using the System.CodeDom features to compile code at run time and I wonder if I could specify a compiler parameter or other workaround to display the compiler errors in English language instead of using the system's default language.
However, in the MSDN documentation I can't find anything related to the displayed language:

*

*VB.Net compiler params

*C# compiler params
When I want to display compiler errors in a specific language under Visual Studio IDE when building a project what I do is change the current culture, then I tried to set the culture in my application and also inside the file that I'm compiling from my application, but firstly that does not take effect, and secondly I prefer to avoid possible tricks like this, because possibly it will require automated code generation (imports, references, and code when calling CodeDomProvider compiler):
Thread.CurrentThread.CurrentCulture = New CultureInfo("en-Us")
Thread.CurrentThread.CurrentUICulture = New CultureInfo("en-Us")

A: You probably should use CompilerParameters.CompilerOptions property. If you open link you may find example there. You need to change preferreduilang parameter. To set output language to English use "/preferreduilang:en-US" option. Keep in mind that it would not work for languages which are not installed in your system.

redpajama_set_name: RedPajamaStackExchange


OnForce's 3rd NYC project houses 1,800 panels and generates enough solar energy to supply power to 100 homes, or approximately 150 NYC apartments. Located around East New York, OnForce is bringing power to all Brooklynites.
Community solar is exciting. Share the OnForce Brooklyn Community project with a friend by sending them an email.


Espirito Santo Aquamarine (Ovl) Cluster Ring in Platinum Overlay Sterling Silver 6.000 Ct.
This is a beautiful creation that brings an unrivalled panache to your party outfit. Featuring 19 Espirito Santo Aquamarines of premium quality, the ring is crafted in sterling silver and bears the fabulous lustre of platinum overlay. Oval-shaped and round aquamarines sparkle like frozen drops of clear water on prong mounting. The smooth shank balances heavy top of the ring studded with gems that have an impressive weight of 6.000 carats.
Espirito Santo Aquamarine Oval 6x4 Faceted 12 4.500ct.
Espirito Santo Aquamarine Round 4 Faceted 7 1.500ct.