Prioritization of the Baitarani River Basin by Using WSA and PCWSA Based on Morphometric Parameters

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-08-06 DOI:10.1007/s12205-024-2392-6
Swagatika Sahoo, Janhabi Meher
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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.

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利用基于形态参数的 WSA 和 PCWSA 确定 Baitarani 河流域的优先次序
这项研究采用了基于流域形态测量的两种不同方法,对印度半岛 Baitarani 河流域的土壤侵蚀过程进行了研究。研究覆盖了 16 个子流域,并利用 16 个线性、面积、形状和地形特征对土壤侵蚀动态进行了评估。研究采用了加权和分析法(WSA)和一种名为基于主成分的加权和分析法(PCWSA)的混合模型来分析形态测量数据,并确定发生土壤侵蚀的可能性。结果显示,根据 WSA 方法,分别有 6 个、4 个和 6 个子流域具有低、中和高洪水优先级,而根据 PCWSA 技术,分别有 5 个、6 个和 5 个子流域具有低、中和高洪水优先级。在定量验证方面,根据基于 USLE 模型的年平均土壤侵蚀量,使用这两种方法获得了 MLR 模型,得出的数值在模拟土壤侵蚀方面表现出了可接受的准确性(分别为 48.2% 和 55.2%)。结果表明,与使用六个不相关因子的 WSA 方法相比,仅使用六个主成分的 PCWSA 方法能产生更好的精度。为了进行定性验证,应用了基于卫星数据的修正土壤调整植被指数(MSAVI)图,结果表明与所提出的方法的一致性令人满意。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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