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Case Study > Natural, Societal & Political Domain Variables : Ecosystems or Other & Climate: temperate & Land Use: urban

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Natural, Societal & Political Domain Variables: (Click arrow to add another value)

- Assets - Ecosystems - Governance - Values and Norms - Water Quality - Water Quantity - Other - None

Climate: (Click arrow to add another value)

- Arid/desert (Köppen B-type) - Continental (Köppen D-type) - Dry-summer - Dry-winter - Humid mid-latitude (Köppen C-type) - Moist - Moist tropical (Köppen A-type) - Monsoon - Semi-arid/steppe (Köppen B-type) - alpine - cold-climate (permafrost, tundra, polar) - temperate - Other - None

Land Use: (Click arrow to add another value)

- agricultural- confined livestock operations - agricultural- cropland and pasture - conservation lands - forest land - industrial use - mining operations - rangeland - religious/cultural sites - urban - urban- high density - Other - None

Water Use:

- Agriculture or Irrigation (4) - Domestic/Urban Supply (4) - Hydropower Generation (1) - Industry - consumptive use (2) - Industry - non-consumptive use (1)

Stakeholder Type:

- Community or organized citizens (3) - Development/humanitarian interest (2) - Environmental interest (2) - Federated state/territorial/provincial government (2) - Industry/Corporate Interest (3) - Local Government (1) - Non-legislative governmental agency (3) - Sovereign state/national/federal government (4)

Key Question:

- How can costs for water quality projects be distributed between polluters and beneficiaries? (1) - How does asymmetry of power influence water negotiations and how can the negative effects be mitigated? (1) - To what extent can international actors and movements from civil society influence water management? How and when is this beneficial/detrimental and how can these effects be supported/mitigated? (1) - What mechanisms beyond simple allocation can be incorporated into transboundary water agreements to add value and facilitate resolution? (2) - Where does the benefit “flow” from a hydropower project and how does that affect implementation and sustainability of the project? (1)

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