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Research Article Open access CC BY 4.0

Modeling Evapotranspiration Using SWAT for the Middle Narmada Catchment

Rajat Mishra, Praveen Vikram Singh, Anil Kumar, Pramod Kumar Singh, Pravendra Kumar

International Journal of Environment and Climate Change · pp. 634–641 · Published 19 Feb 2024

10.9734/ijecc/2024/v14i23977

Abstract

This study delves into the hydrological dynamics of a region by analyzing monthly and annual datasets that encompass the intricate interplay among rainfall, potential evapotranspiration (PET), and actual evapotranspiration (ET) using SWAT model for the Gadarwara watershed of middle Narmada catchment. The research identifies a distinct wet season characterized by escalating precipitation from January to June, peaking in July and August. Interestingly, despite heightened rainfall during these months a decline in actual evapotranspiration is discerned, hinting at potential environmental influences. The transition from the wet to the dry season reveals a cyclical pattern culminating in minimal ET values in December. The annual dataset unveils years marked by significant variability in rainfall, ET, and PET, underscoring the region's responsiveness to climatic fluctuations. These insights bear paramount importance for sectors such as agriculture and water resource management, facilitating strategic planning during periods of elevated water availability. Furthermore, the data contributes to the calibration and validation of SWAT, enhancing their reliability in simulating real-world processes. In sum, the comprehensive dataset enhances our understanding of regional hydrology, offering guidance for sustainable water management practices amid evolving climatic conditions.

Evapotranspiration water scarcity water affects ecosystems SWAT model

Cited by 2

SWAT Model Calibration and Validation with Remotely Sensed Evapotranspiration data in Maklang-Tuyungbi-Taret lok Ungauged Basin in Manipur, India

Victoria Ningthoujam, Ngangbam Romeji · Iranian Journal of Science and Technology, Transactions of Civil Engineering · 2024

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