Abstract
Globally, water yield helps to maintain ecological balance, the total amount of runoff water is considered as water yield. The measurement of water yield is a complex process. Thus, various models are developed over time. In recent times, the InVEST seasonal water yield (SWY) model has become popular because it accurately estimates the amount of water yield. Depending on this issue, the prime objective of the present study is set to estimate the change in water yield in the Shali river basin from 2000 to 2020 over a 10-year period in West Bengal, India. For this purpose, InVEST SWY model has been applied. The model requires specific input parameters such as monthly rainfall data, evapotranspiration data, digital elevation model, land use and land cover (LULC) classification, and soil group data. As an output, the model delivers three raster files such as quickflow, local recharge, and baseflow. Research has shown that the amount of water yield has increased from 2000 to 2020 in the Shali basin. Research also shows that the amount of water yield is strongly influenced by the precipitation amount and land use patterns. The root mean square error (RMSE) method has been applied to determine the model accuracy. RMSE results show that the InVEST SWY model performed significantly. Finally, this model results will help to build the water conservation structures.
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We would like to thank UGC India for funding a fellowship for this study.
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Halder, S., Das, S. & Basu, S. Estimation of seasonal water yield using InVEST model: a case study from West Bengal, India. Arab J Geosci 15, 1293 (2022). https://doi.org/10.1007/s12517-022-10551-2
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DOI: https://doi.org/10.1007/s12517-022-10551-2