Assessment and Prioritization of Sub-Watersheds Vulnerable to Soil Erosion in an Ungauged River Basin Using MOORA, COPRAS, MARCOS and MABAC Methods

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Journal of the Indian Society of Remote Sensing Pub Date : 2024-07-04 DOI:10.1007/s12524-024-01942-x
Vinoth Kumar Sampath, Nisha Radhakrishnan
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Abstract

Identifying soil erosion-prone zones in an ungauged river basin is crucial for devising and implementing timely soil protection measures to mitigate soil degradation and protect soil quality. Soil erosion damages the fragile ecosystem, decreases soil fertility, and reduces reservoir water storage, thereby impacting food production. The prime motive of the current research work is to assess and categorize on the basis of priority the sub-watersheds (SWs) susceptible to substantial soil erosion in the Ponnaniyar River basin (an ungauged river basin) based on the morphometric parameters that impact soil erosion. To achieve this research objective, four multi-criteria decision-making (MCDM) approaches based on the outranking approach and synthesis method are adopted to facilitate the decision-making process by considering an integrated and balanced assessment of multiple complex parameters for devising effective soil conservation measures to minimize soil erosion. Cartosat-1 digital elevation model (DEM) is employed to extract eighteen morphometric parameters under linear, shape, areal, relief and hypsometric aspects. The priority of SWs obtained by different MCDM techniques is evaluated using percentage of variation and intensity of variation. The outcomes show that the MABAC method is effective in prioritizing SWs with the least percentage of variation (59.61%) and intensity of variation (4.397). It is also found to be the best method for integration with the RSS method for determining SW priority with a root sum of squares value of 43. SW1 is identified to be highly vulnerable to soil erosion with a grade average value of 1.00 followed by SW2 (3.00), SW3 (3.25) and SW13 (5.00), requiring immediate implementation of watershed planning and management measures to control the extent of soil erosion and safeguard soil resources.

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使用 MOORA、COPRAS、MARCOS 和 MABAC 方法评估无测站河流流域易受土壤侵蚀影响的次级流域并确定优先次序
在无测站的河流流域确定土壤侵蚀易发区,对于制定和实施及时的土壤保护措施以缓解土壤退化和保护土壤质量至关重要。水土流失会破坏脆弱的生态系统,降低土壤肥力,减少水库蓄水量,从而影响粮食生产。当前研究工作的主要动机是,根据影响土壤侵蚀的形态计量参数,对 Ponnaniyar 河流域(未测流域)易受严重土壤侵蚀影响的子流域(SW)进行评估和优先分类。为实现这一研究目标,我们采用了基于排序法和综合法的四种多标准决策(MCDM)方法,通过对多个复杂参数的综合平衡评估,促进决策过程,从而制定有效的水土保持措施,最大限度地减少水土流失。采用 Cartosat-1 数字高程模型(DEM)提取线性、形状、面积、地形和湿度等方面的 18 个形态参数。使用变异百分比和变异强度评估了不同 MCDM 技术获得的 SWs 优先级。结果表明,MABAC 方法能有效地确定 SW 的优先级,其变异百分比(59.61%)和变异强度(4.397)最小。在确定 SW 优先级时,它也是与 RSS 方法结合的最佳方法,平方根和值为 43。SW1 被确定为极易受到水土流失影响的地区,其等级平均值为 1.00,其次是 SW2(3.00)、SW3(3.25)和 SW13(5.00),需要立即实施流域规划和管理措施,以控制水土流失程度,保护土壤资源。
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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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