High-Resolution Gridded Water Demand Maps for the Andes Region

High-resolution gridded maps at 3 arcseconds detail anthropogenic surface water demand in the Andes. The dataset, presented by C. Zogheib, disaggregates demand into domestic users, irrigated area, and hydropower. It was built by homogenizing and interpolating data from national hydrological services using proxy datasets like WorldPop and MapSPAM.

Use Cases

• Modeling regional water scarcity based on disaggregated water use types.
• Assessing anthropogenic pressure on water resources based on high-resolution gridded demand data.
• Planning water resource allocation based on domestic, irrigation, and hydropower demand layers.
• Validating hydrological models using integrated data from national services and proxy datasets.

Strengths

• High spatial resolution of 3 arcseconds for gridded maps.
• Disaggregates water demand into three major use types: domestic, irrigation, and hydropower.
• Integrates direct data from various national hydrological and meteorological services.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

C. Zogheib via paperswithcode.

Collection Method

Built by homogenizing, integrating, and interpolating direct data from national hydrological services using proxy datasets (WorldPop, MapSPAM).

Geography

Andes region, specifically Ecuador, Peru, Bolivia, and Chile.