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DAM-IN: Comprehensive Dam Catchment Attributes for Dam Safety Studies in India.

Mayank Tiwari1, Saran Aadhar2,3

  • 1Department of Civil and Infrastructure Engineering, Indian Institute of Technology (IIT) Jodhpur, Jodhpur, India.

Scientific Data
|October 21, 2025
PubMed
Summary

A new dataset details catchment attributes for 5715 Indian dams, integrating topography, climate, geology, soil, land use, and human activities. This resource supports crucial dam safety and water resource studies across the Indian subcontinent.

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Area of Science:

  • Hydrology and Water Resources Engineering
  • Geospatial Science and Remote Sensing

Background:

  • The Indian subcontinent hosts over 5715 dams vital for economic development.
  • Understanding dam catchment characteristics is crucial for water resource management and safety.

Purpose of the Study:

  • To create a comprehensive dataset of catchment attributes for 5715 dams in the Indian subcontinent.
  • To integrate diverse data sources including observed, reanalysis, and remote sensing data.

Main Methods:

  • Utilized 30-m SRTM data and an automatic outlet relocation algorithm to delineate dam watersheds.
  • Developed attributes for topography, climate, geology, soil, land use/land cover (LULC), and human-induced activities.
  • Integrated global and regional datasets for geological, soil, and LULC attributes.

Main Results:

  • A high-quality dataset of catchment attributes for 5715 Indian dams has been successfully developed.
  • The dataset encompasses six key attribute categories: topography, climate, geology/groundwater, soil, LULC, and human activities.
  • Included datasets on human-induced activities to facilitate studies on their impact on dam safety.

Conclusions:

  • The comprehensive dam dataset provides essential data for scientific research, dam safety assessments, and impact analyses in India.
  • This resource will aid in understanding the complex interactions within dam catchments and their influence on water resources.