GIS-Based Water Budget Estimation in the Pra Basin using Remote Sensing Data

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Abstract Monitoring water demand and water supply is critical for effective and long-term water resource management. In this study, the monthly water budget components for the 2019 and 2022 wet and dry seasons were determined using satellite measurements in the Pra River Basin. The water budget components that were considered include evapotranspiration, rainfall, and water stored on land (terrestrial water storage). Different satellite images, including GRACE, CHIRPS, and AETI from the WaPOR portal, were employed for the study. The result of the study shows that the basin water budget for the 2019 and 2022 dry seasons experienced an increase of 4.973%, while the basin experienced a 39.4522% fall in the 2019 and 2022 wet seasons. The high ET resulted in a negative water budget for the 2019 and 2022 dry and wet seasons. Runoff was calculated as a residual from the water balance equation because it could not be directly determined from remote sensing measurements. Remote sensing datasets can be extremely helpful, especially in areas with limited data, for assessing seasonal and inter-annual changes in water components and river basin management.

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