I'm looking at the GCP Dataproc operator and noticed that the `DataprocCreateClusterOperator` and `DataprocDeleteClusterOperator` require a `region` parameter, but other operators, like the `DataprocSubmitJobOperator` require a `location` parameter instead. I think it would be best to consistently enforce the parameter as `region`, because that's what is required in the protos for all of the [cluster CRUD operations](https://github.com/googleapis/python-dataproc/blob/master/google/cloud/dataproc_v1/proto/clusters.proto) and for [job submission](https://github.com/googleapis/python-dataproc/blob/d4b299216ad833f68ad63866dbdb2c8f2755c6b4/google/cloud/dataproc_v1/proto/jobs.proto#L741). `location` also feels too ambiguous imho, because it implies we could also pass a GCE zone, which in this case is either unnecessary or not supported (I can't remember which and it's too late in my Friday for me to double check 🙃 )

This might be similar to #13454 but I'm not 100% sure. If we think this is worth working on, I could maybe take this on as a PR, but it would be low priority for me, and if someone else wants to take it on, they should feel free to 😄  

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**Apache Airflow version**: 2.0.1


**Environment**:

running locally on a Mac with SQLite backend only running a unit test that makes sure the dag is compiled. Installed with Pip and the provided constraints file. 

**What happened**:

if you pass `location` in the `DataprocCreateClusterOperator` the DAG won't compile and will throw an error `airflow.exceptions.AirflowException: Argument ['region']`

As minimally and precisely as possible. Keep in mind we do not have access to your cluster or dags.


--->


airflow/providers/google/cloud/operators/dataproc.py
https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/scaling-clusters
    :param cluster_name: The name of the cluster to scale. (templated)
    :type cluster_name: str
    :param project_id: The ID of the google cloud project in which
        the cluster runs. (templated)
    :type project_id: str
    :param region: The region for the dataproc cluster. (templated)
    :type region: str
    :param num_workers: The new number of workers
    :type num_workers: int
    :param num_preemptible_workers: The new number of preemptible workers
    :type num_preemptible_workers: int
    :param graceful_decommission_timeout: Timeout for graceful YARN decommissioning.
        Maximum value is 1d
    :type graceful_decommission_timeout: str
    :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
    :type gcp_conn_id: str
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    :type impersonation_chain: Union[str, Sequence[str]]
    """
    template_fields = ['cluster_name', 'project_id', 'region', 'impersonation_chain']
    operator_extra_links = (DataprocClusterLink(),)
    def __init__(