DAM-IN: Comprehensive Dam Catchment Attributes in India
Authors/Creators
- 1. Civil & Infrastructure Engineering, Indian Institute of Technology (IITJ) Jodhpur, India
- 2. Civil & Infrastructure Engineering, Indian Institute of Technology (IIT) Jodhpur, India
Description
We present one of the most comprehensive datasets of dams in India, “DAM-IN”. The dam attributes for India (DAM-IN) consist of six important catchment characteristics, including topography, geology and groundwater, soil, Land Use and Land Cover (LULC), climate, and human-induced activities. These six catchment characteristics were developed using various reanalysis, observed, and remote-sensing data for more than 5700 dams in India. Moreover, a large number of attributes were estimated for each catchment characteristic of the dam. Overall, the comprehensive DAM-IN dataset consists of high-quality catchment attributes for each dam in India for multi-temporal and spatial resolution. The DAM-IN data is useful for various stakeholders to conduct scientific research, dam safety, and impact analysis in India. Moreover, the DAM-IN data can be used for reservoir management, various water quantity and quality studies, environmental risk assessment, and climate change risk analysis. The catchment and meteorological attributes can be used as input for hydrological, hydraulic, and machine-learning modeling. Using the developed attributes, the effective planning and management of sustainable river infrastructure and water resource allocation can be performed.