Assessing Post-Monsoon Seasonal Soil Loss over Un-Gauged Stations of the Dwarkeswar and Shilabati Rivers, West Bengal, India

Earth Pub Date : 2024-02-07 DOI:10.3390/earth5010003
Ankita Mukherjee, Maya Kumari, Varun Narayan Mishra
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Abstract

This study employs the Soil and Water Assessment Tool (SWAT) model to evaluate soil loss within the Shilabati and Dwarkeswar River Basin of West Bengal, serving as a pilot investigation into soil erosion levels at ungauged stations during the post-monsoon season. Detailed data for temperature, precipitation, wind speed, solar radiation, and relative humidity for 2000–2022 were collected. A land use map, soil map, and slope map were prepared to execute the model. The model categorizes the watershed region into 19 sub-basins and 227 Hydrological Response Units (HRUs). A detailed study with regard to soil loss was carried out. A detailed examination of soil erosion patterns over four distinct time periods (2003–2007, 2007–2012, 2013–2017, and 2018–2022) indicated variability in soil loss severity across sub-basins. The years 2008–2012, characterized by lower precipitation, witnessed reduced soil erosion. Sub-basins 6, 16, 17, and 19 consistently faced substantial soil loss, while minimal erosion was observed in sub-basins 14 and 18. The absence of a definitive soil loss pattern highlights the region’s susceptibility to climatic variables. Reduced soil erosion from 2018 to 2022 is attributed to diminished precipitation and subsequent lower discharge levels. The study emphasizes the intricate relationship between climatic factors and soil erosion dynamics.
评估印度西孟加拉邦 Dwarkeswar 河和 Shilabati 河无测站季风后土壤流失情况
本研究采用水土评估工具 (SWAT) 模型评估西孟加拉邦 Shilabati 和 Dwarkeswar 河流域的土壤流失情况,作为季风后季节未测站土壤侵蚀程度的试点调查。收集了 2000-2022 年气温、降水、风速、太阳辐射和相对湿度的详细数据。为执行该模型,还绘制了土地利用图、土壤图和坡度图。该模型将流域区域划分为 19 个子流域和 227 个水文响应单元(HRUs)。对土壤流失进行了详细研究。对四个不同时期(2003-2007 年、2007-2012 年、2013-2017 年和 2018-2022 年)的土壤侵蚀模式进行的详细研究表明,各子流域的土壤流失严重程度存在差异。2008-2012 年降水较少,水土流失减少。6 号、16 号、17 号和 19 号子流域始终面临严重的土壤流失,而 14 号和 18 号子流域的水土流失则很小。缺乏明确的土壤流失模式凸显了该地区易受气候变量影响的特点。从 2018 年到 2022 年,土壤侵蚀的减少归因于降水量的减少和随之而来的排水量的降低。该研究强调了气候因素与土壤侵蚀动态之间错综复杂的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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