Sediment Yield Index mapping and prioritization of Madia subwatershed, Sagar District of Madhya Pradesh (India)

Rawat, Kishan Singh; Tripathi, Vinod Kumar; Mishra, Anil Kumar

doi:10.1007/s12517-013-1007-1

Cited by 30 publications

(13 citation statements)

References 23 publications

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“…In modified WSA approach, prioritization has been achieved by ranking and correlation analysis techniques. The results of present study show better accuracy in prioritizing smaller hydrological units than other methods such as multi-criteria evaluation approach (Alvarado et al 2016;Vollmer et al 2016), compound factor analysis (Avinash et al 2011;Patel et al 2012) and compound parameter technique (Hlaing et al 2008;Rawat et al 2014). Morphometry based soil resource depletion studies are lacking according to the previous literature reviewed regarding sediment production rate of the terrains.…”

Section: Relief Parametersmentioning

confidence: 70%

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

Kadam

Jaweed

Kale

et al. 2019

Geomatics, Natural Hazards and Risk

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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 sensing data, field data and topographical maps were generated on geographical information system (GIS) platform to estimate the soil erosion susceptibility. The study also evaluates the performance of this new methodology by considering the sediment production rate (SPR) of these sub-watersheds. The resultant WSA-SPR model has prioritized the study area into high, moderate low and very low categories. The high and moderate priority areas lie in the proximity of outlet, upper elevated and undulating terrain of the watershed. It represents 41.38% of the total area covering SW1, 3, 13 and 14 sub-watersheds. This study proposes a useful tool to define areas for planning the strategies to control soil erosion and promote soil conservation. ARTICLE HISTORY

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Section: Relief Parametersmentioning

confidence: 70%

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

Kadam

Jaweed

Kale

et al. 2019

Geomatics, Natural Hazards and Risk

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“…The prioritization of watersheds, based on susceptibility to erosion, has been carried out in different regions of the world [72,73], using different prioritization methods [74]. This study contributes to the lack of knowledge regarding the susceptibility to erosion in northern Mexico.…”

Section: Discussionmentioning

confidence: 99%

“…That was possible by evaluating the behavior of such geomorphometric parameters and representing them in a geospatial basis [77,78]. Their relationships provided significant information about the main sources of variability among the studied watersheds [74]. Previous research studies have reported that topography, geomorphology, and land use/land cover are the most important factors in the watershed susceptibility to erosion [79][80][81][82].…”

Section: Discussionmentioning

confidence: 99%

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

et al. 2019

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Soil erosion is considered one of the main degradation processes in ecosystems located in developing countries. In northern Mexico, one of the most important hydrological regions is the Conchos River Basin (CRB) due to its utilization as a runoff source. However, the CRB is subjected to significant erosion processes due to natural and anthropogenic causes. Thus, classifying the CRB’s watersheds based on their erosion susceptibility is of great importance. This study classified and then prioritized the 31 watersheds composing the CRB. For that, multivariate techniques such as principal component analysis (PCA), group analysis (GA), and the ranking methodology known as compound parameter (Cp) were used. After a correlation analysis, the values of 26 from 33 geomorphometric parameters estimated from each watershed served for the evaluation. The PCA defined linear-type parameters as the main source of variability among the watersheds. The GA and the Cp were effective for grouping the watersheds in five groups, and provided the information for the spatial analysis. The GA methodology best classified the watersheds based on the variance of their parameters. The group with the highest prioritization and erosion susceptibility included watersheds RH24Lf, RH24Lb, RH24Nc, and RH24Jb. These watersheds are potential candidates for the implementation of soil conservation practices.

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“…For instance, Shoa et al (2013) used sediment delivery ratio (SDR) model in geographic information system environment to estimate sediment yield of large basins based on sediment delivery processes and storm characteristics. Rawat et al (2013) used the Sediment Yield Index (SYI) model developed by the All India Soil and Land Use Survey, Government of India. The SYI conceptualizes sediment delivery into the water body as a multiplicative function of potential soil erosivity factor and delivery ratio value.…”

Section: Wherementioning

confidence: 99%

New approach for qualitative sediment yield assessment of ungauged drainage basins

Monsef

2014

Arab J Geosci

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The sediment yield of a drainage basin during flood events has a remarkable impact on a desert ecosystem. While sediment yield increases the destructive impact of the flood, it also influences the recovery of disturbed surfaces downslope from source areas in desert landscapes. For environmental change and flood mitigation, it is important to evaluate the sedimentary yield of drainage basins. The current study proposes a simple method to qualitatively evaluate sediment yield of ungauged drainage basins in arid and semi-arid zones. The method evaluates basin sediment yield based on a list of factors that control detaching of detritus from bedrocks and transporting it down the hill slopes and through the drainage system. Four drainage basins: Al Ahsabah, Qanunah, Yabah, and Hali located on the Saudi Arabia Red Sea coast were selected to apply and test the new approach. The Automated Geospatial Watershed Assessment Tool (AGWA) was used to evaluate the new approach. The study found that the new method has a reasonable capability to qualitatively evaluate the sedimentary yield of ungauged drainage basins.

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Sediment Yield Index mapping and prioritization of Madia subwatershed, Sagar District of Madhya Pradesh (India)

Cited by 30 publications

References 23 publications

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

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

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

New approach for qualitative sediment yield assessment of ungauged drainage basins

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