Abstract
An effective river basin management can significantly contribute to the region’s sustainable development in concern. The assessment of the two most critical factors that govern any river basin management system is water availability and basin demand. The water availability in a river basin depends on a few crucial factors like hydrology, ecology, weather, and climate. However, for a successful implementation of a river basin management plan, 2-way synchronized efforts are required, both from the management authorities and the stakeholders. In this study, an attempt has been made to demonstrate the use of remote sensing data products and GIS for monitoring and estimating water budget components in the Ganga River Basin (GRB). The water budget components of precipitation (PR), evapotranspiration (ET), and change in water storage (DS) in the basin are estimated from remote sensing observations and the Global Land Data Assimilation System (GLDAS) model based on remote sensing observations. A variety of remote sensing-based data products were utilized for the analysis, namely Integrated Multi-satellitE Retrievals for GPM (IMERG) for precipitation, Moderate Resolution Imaging Spectroradiometer (MODIS) Evapotranspiration products for evapotranspiration, and Gravity Recovery and Climate Experiment (GRACE) level-3 data for the terrestrial water storage change. All the data processing and analysis were conducted in QGIS. The analysis results present an examination and comparison of dry and wet season water budget components from remote sensing datasets and the GLDAS 2.1 model data. Additionally, seasonal and basin-averaged water budget components were estimated for the GRB and its sub-basins.
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We wish to express a deep sense of gratitude and sincere thanks to the Department of Water Resources Development and Management (WRD&M), IIT Roorkee, for providing a conducive environment and resources to conduct the research work.
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Singh, G., Pandey, A. (2022). Water Budget Monitoring of the Ganga River Basin Using Remote Sensing Data and GIS. In: Yadav, B., Mohanty, M.P., Pandey, A., Singh, V.P., Singh, R.D. (eds) Sustainability of Water Resources. Water Science and Technology Library, vol 116. Springer, Cham. https://doi.org/10.1007/978-3-031-13467-8_4
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