GREI: Global Reservoir Inventory and Sedimentation Database

Over 550,000 global reservoirs larger than 0.001 km² are documented in this spatial database. It includes the GREI_v1 inventory with core attributes like surface area and storage capacity, and the GREI_Sed_v1 database providing high-resolution sedimentation rate estimates. The dataset was created by Kai Liu and last updated on 2026-06-03.

Use Cases

• Assess global reservoir storage capacity based on reservoir surface area and location attributes.
• Model reservoir sedimentation rates and storage loss based on machine-learning estimates informed by 6,133 field samples.
• Support water resource management for small and under-monitored reservoirs based on the comprehensive inventory.
• Validate hydrological models using the provided reservoir location and attribute data.
• Analyze sedimentation trends for sustainability planning based on the high-resolution sedimentation rate estimates.

Strengths

• Inventory includes over 550,000 global reservoirs.
• Sedimentation estimates are informed by 6,133 field-surveyed samples.
• Dataset fills a critical gap for small and under-monitored reservoirs.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Likely constructed from multiple source datasets, as summarized in the GREI_data_sources.xlsx file.

Freshness

Last updated 2026-06-03 12:49:17; freshness should be verified.

Geography

Global