2019
DOI: 10.1080/19475705.2018.1555189
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Identification of erosion-prone areas using modified morphometric prioritization method and sediment production rate: a remote sensing and GIS approach

Abstract: Watersheds from semiarid zones are sensitive to land degradation processes wherein the morphometric investigation is an important aspect to unwrap the susceptible areas. Hence it is a prerequisite for the assessment of erosional pattern of the watershed. Thus, based on the response to erosional processes, prioritization task has been undertaken for fourteen sub-watersheds from basaltic region of Western Ghats of India. A morphometry-based framework using weighted sum analysis (WSA) coupled with the remote sens… Show more

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Cited by 63 publications
(32 citation statements)
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References 36 publications
(53 reference statements)
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“…Over the past decade, throughout the world, a number of studies have been conducted by researchers on watershed prioritization based on morphometric parameters using a simple average method [5,18], principal component analysis [25][26][27], and weighted-sum approach [1,22,[28][29][30]. Gajbhiye et al [5] used simple average method for prioritizing erosion-prone area of 14 SWs of the Manot River catchment, Madhya Pradesh, India, based on morphometric (linear, areal, and shape) parameters.…”
Section: Discussionmentioning
confidence: 99%
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“…Over the past decade, throughout the world, a number of studies have been conducted by researchers on watershed prioritization based on morphometric parameters using a simple average method [5,18], principal component analysis [25][26][27], and weighted-sum approach [1,22,[28][29][30]. Gajbhiye et al [5] used simple average method for prioritizing erosion-prone area of 14 SWs of the Manot River catchment, Madhya Pradesh, India, based on morphometric (linear, areal, and shape) parameters.…”
Section: Discussionmentioning
confidence: 99%
“…The weighted-sum analysis was applied to significant morphometric variables which were identification using PCA, and compound factor (CF) value was calculated for final priority ranking and their related category. The mathematical expression for CF computation is written as [1,22,[28][29][30]:…”
Section: Weighted-sum Approachmentioning
confidence: 99%
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“…Soil plays a supportive vital role in the recharge of groundwater in that area [3,30]. As per the soil survey map and field study, area is characterized as sandy loam, loam clay and clay types ( Fig.…”
Section: Soilmentioning
confidence: 99%
“…Groundwater source is generally safe and prime source of drinking water due to less pollution as compared to the surface water [1][2][3]. The increasing inhabitants, farming activities and rapid industrialization have led to continuous extraction, depletion and degradation of groundwater.…”
Section: Introductionmentioning
confidence: 99%