Prioritization of Soil Loss at Sub-catchment Level Using SWAT Model in Kesinga Catchment, Mahanadi River, India

IF 1.5 Q3 AGRONOMY
P. Chinna Vani, B. C. Sahoo, J. C. Paul, A. P. Sahu, A. K. B. Mohapatra
{"title":"Prioritization of Soil Loss at Sub-catchment Level Using SWAT Model in Kesinga Catchment, Mahanadi River, India","authors":"P. Chinna Vani,&nbsp;B. C. Sahoo,&nbsp;J. C. Paul,&nbsp;A. P. Sahu,&nbsp;A. K. B. Mohapatra","doi":"10.1007/s40003-025-00895-y","DOIUrl":null,"url":null,"abstract":"<div><p>The study uses the soil and water assessment tool (SWAT) to identify the hot spots of erosion in the Kesinga watershed in India. The model was calibrated and validated using data from 2000–2016 to 2017–2020. The results show that 40.2% of watersheds are identified as hot soil erosion regions, with 3, 4, 9, 10, 11, 21, 24 and 27 basins with high erosion levels from the ground. These results are crucial for planners and resource managers, providing information on immediate and long-term planning of water resources. The study focuses on the Kesinga watershed, which is mainly agricultural and has the use of mainly agricultural land. The SWAT model accurately reproduces the discharge and monthly sediment models, showing a satisfactory agreement between the observed and simulated discharge results. The model also shows high performance in sediment yield simulations, with <i>R</i><sup>2</sup> values of 0.7 and 0.8 for calibration and validation periods. The study also created a soil losses map, revealing 40.2% of the significant soil loss watershed.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 2","pages":"1140 - 1145"},"PeriodicalIF":1.5000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Research","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s40003-025-00895-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

The study uses the soil and water assessment tool (SWAT) to identify the hot spots of erosion in the Kesinga watershed in India. The model was calibrated and validated using data from 2000–2016 to 2017–2020. The results show that 40.2% of watersheds are identified as hot soil erosion regions, with 3, 4, 9, 10, 11, 21, 24 and 27 basins with high erosion levels from the ground. These results are crucial for planners and resource managers, providing information on immediate and long-term planning of water resources. The study focuses on the Kesinga watershed, which is mainly agricultural and has the use of mainly agricultural land. The SWAT model accurately reproduces the discharge and monthly sediment models, showing a satisfactory agreement between the observed and simulated discharge results. The model also shows high performance in sediment yield simulations, with R2 values of 0.7 and 0.8 for calibration and validation periods. The study also created a soil losses map, revealing 40.2% of the significant soil loss watershed.

基于SWAT模型的印度Mahanadi河Kesinga流域分集水区土壤流失优先排序
该研究使用水土评估工具(SWAT)来确定印度Kesinga流域的侵蚀热点。使用2000-2016年至2017-2020年的数据对模型进行了校准和验证。结果表明:40.2%的流域为热侵蚀区,有3、4、9、10、11、21、24和27个流域为高地表侵蚀区。这些结果对规划人员和资源管理人员至关重要,提供了关于水资源的近期和长期规划的信息。研究的重点是Kesinga流域,该流域以农业为主,主要利用农业用地。SWAT模型准确地再现了流量和月泥沙模型,显示了观测和模拟流量结果的满意一致性。该模型在产沙量模拟中也表现出良好的性能,在校准和验证期的R2值分别为0.7和0.8。该研究还绘制了土壤流失图,揭示了40.2%的重大土壤流失分水岭。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.80
自引率
0.00%
发文量
24
期刊介绍: The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书