{"title":"Prioritization of the Baitarani River Basin by Using WSA and PCWSA Based on Morphometric Parameters","authors":"Swagatika Sahoo, Janhabi Meher","doi":"10.1007/s12205-024-2392-6","DOIUrl":null,"url":null,"abstract":"<p>A study was conducted on the soil erosion process in the Baitarani River Basin in peninsular India, using two distinct methodologies based on drainage basin morphometry. The study covered 16 sub-basins, and evaluated the soil erosion dynamics using sixteen linear, areal, shape, and relief features. Weighted sum analysis (WSA) and a hybrid model named principal component based weighted sum analysis (PCWSA) were used to analyse the morphometry data and establish the likelihood of soil erosion occurrence. The results showed that based on the WSA approach six, four and six sub-basins had low, moderate and high flood priorities respectively, while based on the PCWSA technique five, six and five sub-basins had low, moderate and high flood priorities respectively. For quantitative validation MLR models were obtained using these two approaches based on USLE model based annual average soil erosion magnitude, and the derived values exhibit acceptable accuracy (48.2% and 55.2% respectively) in modelling soil erosion. The results showed that the PCWSA approach could produce better accuracy with only six principal components, compared to the WSA method with six uncorrelated factors. For qualitative validation, satellite data based Modified soil-adjusted vegetation index (MSAVI) map was applied which confirmed satisfactory agreement with the proposed approach.</p>","PeriodicalId":17897,"journal":{"name":"KSCE Journal of Civil Engineering","volume":"78 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"KSCE Journal of Civil Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12205-024-2392-6","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
A study was conducted on the soil erosion process in the Baitarani River Basin in peninsular India, using two distinct methodologies based on drainage basin morphometry. The study covered 16 sub-basins, and evaluated the soil erosion dynamics using sixteen linear, areal, shape, and relief features. Weighted sum analysis (WSA) and a hybrid model named principal component based weighted sum analysis (PCWSA) were used to analyse the morphometry data and establish the likelihood of soil erosion occurrence. The results showed that based on the WSA approach six, four and six sub-basins had low, moderate and high flood priorities respectively, while based on the PCWSA technique five, six and five sub-basins had low, moderate and high flood priorities respectively. For quantitative validation MLR models were obtained using these two approaches based on USLE model based annual average soil erosion magnitude, and the derived values exhibit acceptable accuracy (48.2% and 55.2% respectively) in modelling soil erosion. The results showed that the PCWSA approach could produce better accuracy with only six principal components, compared to the WSA method with six uncorrelated factors. For qualitative validation, satellite data based Modified soil-adjusted vegetation index (MSAVI) map was applied which confirmed satisfactory agreement with the proposed approach.
期刊介绍:
The KSCE Journal of Civil Engineering is a technical bimonthly journal of the Korean Society of Civil Engineers. The journal reports original study results (both academic and practical) on past practices and present information in all civil engineering fields.
The journal publishes original papers within the broad field of civil engineering, which includes, but are not limited to, the following: coastal and harbor engineering, construction management, environmental engineering, geotechnical engineering, highway engineering, hydraulic engineering, information technology, nuclear power engineering, railroad engineering, structural engineering, surveying and geo-spatial engineering, transportation engineering, tunnel engineering, and water resources and hydrologic engineering