利用修订的通用土壤流失方程模型 (RUSLE) 和地理信息系统技术评估印度 Peddavagu 流域的土壤侵蚀和沉积物产量

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-12 DOI:10.2166/wcc.2024.010
Padala Raja Shekar, Aneesh Mathew
{"title":"利用修订的通用土壤流失方程模型 (RUSLE) 和地理信息系统技术评估印度 Peddavagu 流域的土壤侵蚀和沉积物产量","authors":"Padala Raja Shekar, Aneesh Mathew","doi":"10.2166/wcc.2024.010","DOIUrl":null,"url":null,"abstract":"\n \n The present investigation was carried out within the Peddavagu watershed, which is located in India. The necessary datasets, including soil, land-use land cover (LULC), rainfall, and digital elevation model (DEM) parameters, were processed and analysed within a geographic information system (GIS) framework. To evaluate soil loss within the watershed, the present investigation employed the revised universal soil loss equation (RUSLE) model analysis. Subsequently, the sediment yield (SY) is estimated based on the sediment delivery ratio (SDR) in the watershed. The average annual soil loss was estimated at 17.91 tonnes/hectare/year, which is a high soil erosion risk. The model's accuracy suggests a very good (82.1%) outcome for the RUSLE model results. Moreover, the study region revealed that sub-watersheds (SW) 9 and SW 3 exhibited the maximum and minimum average annual soil loss. The watershed's SDR was 0.210. Annually, 3.76 tonnes/hectare/year of sediment were transported to the outlet. The investigation region revealed that SW 9 and SW 5 exhibited the maximum and minimum average annual SY. The observed actual data indicated a yield of 3.66 tonnes/hectare/year, while the model anticipated a yield of 3.76 tonnes/hectare/year. This resource offers significant insights for policymakers and decision-makers on sustainable watershed management techniques.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"10 8","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of soil erosion and sediment yield in the Peddavagu watershed, India, using a revised universal soil loss equation model (RUSLE) and GIS techniques\",\"authors\":\"Padala Raja Shekar, Aneesh Mathew\",\"doi\":\"10.2166/wcc.2024.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n The present investigation was carried out within the Peddavagu watershed, which is located in India. The necessary datasets, including soil, land-use land cover (LULC), rainfall, and digital elevation model (DEM) parameters, were processed and analysed within a geographic information system (GIS) framework. To evaluate soil loss within the watershed, the present investigation employed the revised universal soil loss equation (RUSLE) model analysis. Subsequently, the sediment yield (SY) is estimated based on the sediment delivery ratio (SDR) in the watershed. The average annual soil loss was estimated at 17.91 tonnes/hectare/year, which is a high soil erosion risk. The model's accuracy suggests a very good (82.1%) outcome for the RUSLE model results. Moreover, the study region revealed that sub-watersheds (SW) 9 and SW 3 exhibited the maximum and minimum average annual soil loss. The watershed's SDR was 0.210. Annually, 3.76 tonnes/hectare/year of sediment were transported to the outlet. The investigation region revealed that SW 9 and SW 5 exhibited the maximum and minimum average annual SY. The observed actual data indicated a yield of 3.66 tonnes/hectare/year, while the model anticipated a yield of 3.76 tonnes/hectare/year. This resource offers significant insights for policymakers and decision-makers on sustainable watershed management techniques.\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":\"10 8\",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2024.010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wcc.2024.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

摘要

本调查在印度佩达瓦古流域进行。在地理信息系统 (GIS) 框架内处理和分析了必要的数据集,包括土壤、土地利用-土地覆被 (LULC)、降雨量和数字高程模型 (DEM) 参数。为评估流域内的土壤流失情况,本次调查采用了经修订的通用土壤流失方程(RUSLE)模型分析。随后,根据流域内的沉积物输送比 (SDR) 估算沉积物产量 (SY)。年平均土壤流失量估计为 17.91 吨/公顷/年,土壤侵蚀风险较高。该模型的准确性表明 RUSLE 模型的结果非常好(82.1%)。此外,研究区域显示,子流域 (SW) 9 和 SW 3 的年平均土壤流失量最大,最小。该流域的 SDR 为 0.210。每年有 3.76 吨/公顷/年的泥沙被输送到出水口。调查区域显示,SW 9 和 SW 5 的年平均 SY 值最大和最小。观测到的实际数据显示产量为 3.66 吨/公顷/年,而模型预计产量为 3.76 吨/公顷/年。这一资源为政策制定者和决策者提供了可持续流域管理技术方面的重要启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Assessment of soil erosion and sediment yield in the Peddavagu watershed, India, using a revised universal soil loss equation model (RUSLE) and GIS techniques
The present investigation was carried out within the Peddavagu watershed, which is located in India. The necessary datasets, including soil, land-use land cover (LULC), rainfall, and digital elevation model (DEM) parameters, were processed and analysed within a geographic information system (GIS) framework. To evaluate soil loss within the watershed, the present investigation employed the revised universal soil loss equation (RUSLE) model analysis. Subsequently, the sediment yield (SY) is estimated based on the sediment delivery ratio (SDR) in the watershed. The average annual soil loss was estimated at 17.91 tonnes/hectare/year, which is a high soil erosion risk. The model's accuracy suggests a very good (82.1%) outcome for the RUSLE model results. Moreover, the study region revealed that sub-watersheds (SW) 9 and SW 3 exhibited the maximum and minimum average annual soil loss. The watershed's SDR was 0.210. Annually, 3.76 tonnes/hectare/year of sediment were transported to the outlet. The investigation region revealed that SW 9 and SW 5 exhibited the maximum and minimum average annual SY. The observed actual data indicated a yield of 3.66 tonnes/hectare/year, while the model anticipated a yield of 3.76 tonnes/hectare/year. This resource offers significant insights for policymakers and decision-makers on sustainable watershed management techniques.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
期刊最新文献
Enhancement of Cell Adhesion on 3D-Printed PLA through Surface Modification Using Photoactivated Chlorine Dioxide. Magneto-Actuated Antioxidative Lignin@Fe3O4 Nanoclusters to Decorate a Polyelectrolyte Scaffold for Macrophage Manipulation via Mechano-Chemo Coordination. Amphiphilic Glycopolymer Nanoparticles for pH-Responsive Paclitaxel Delivery and Enhanced Efficacy in Pancreatic Ductal Adenocarcinoma Therapy. Precise Photothermal/Fluorescence Imaging-Guided Dual-Targeted Photothermal Therapy for Tuberculosis. Poly-L-Lysine Doped FmocFF Nanogels as Delivery Platforms for siRNA.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1