GIS and MCDMA prioritization based modeling for sub-watershed in Bastora river basin

Comparative Analysis of MCDA Techniques for Identifying Erosion-Prone Areas in the Burhanpur Watershed in Central India for the Purposes of Sustainable Watershed Management

“…However, the relief parameters recorded a significant increase in their values, with considerable variation among the studied sub-watersheds, highlighting the pronounced influence of these parameters on erosion sensitivity. Consequently, the relief parameters were assigned higher weights in the analysis, taking into account their substantial impact while also acknowledging the significance of the other parameters [19]. Figure 4 depicts the relative weights, and it was observed that basin relief was assigned the highest weight value of 0.308, followed by slope (0.154) and relief ratio (0.103).…”

“…The drainage morphometry and parameters of watersheds are responsible for runoff, and thereby erosion phenomena and their characteristics occurring within watersheds [14][15][16]. Morphometric parameters are quantitative representations of watershed geometry and topography [17,18], and they help in understanding a watershed's linear drainage system, its areal pattern, and its relief behavior for the purposes of hydrological engineering [19,20]. These parameters, which include linear, areal, and relief aspects of the watershed, are derived during morphometric analysis of watershed topography [21][22][23][24].…”

“…Moreover, it helps in planning degradation neutrality strategies through sub-watersheds prioritization [12,33]. Recently, researchers have successfully implemented morphometric parameters as criteria in the prioritization of sub-watersheds by applying Multi Criteria Decision Analysis (MCDA) techniques [19,[34][35][36][37]. MCDA techniques were used for complex decision making while considering a set of criteria to improve decision accuracy [8,[38][39][40][41].…”

“…MCDA techniques were used for complex decision making while considering a set of criteria to improve decision accuracy [8,[38][39][40][41]. Several MCDA techniques, such as Analytical Hierarchy Process (AHP) [42], Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) [43], VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [44], Simple Additive Weighting (SAW), compound factor (CF) analysis, etc., have been successfully used by several researchers for accurate decision making [5,10,19,34,35,[45][46][47][48][49][50]. Hembram and Saha [45] prioritized subwatersheds of the Chota Nagpur Plateau in Jharkhand using fuzzy AHP and the compound factor (CF) approach.…”

Comparison of different objective weighting methods in a multi‐criteria model for watershed prioritization for flood risk assessment using morphometric analysis

“…Watershed morphometric parameters can be used to identify and prioritize critical subwatersheds since they are related to runoff, peak discharge, lag time, soil erosion, and sedimentation risks (Abdeta et al, 2020). Hence, morphometric analysis has recently been used for the prioritization and assessment of watersheds susceptibility to floods and soil erosion especially in the ungauged watersheds and in areas where hydrological simulations are not a viable option (Abdo, 2020; Adnan et al, 2019; Amiri et al, 2019; Arabameri et al, 2018; Bhat et al, 2019; Bhattacharya et al, 2020; Faisal, 2022; Gajbhiye et al, 2014; Haokip et al, 2022; Kulimushi et al, 2021; Mahammad et al, 2022; Nasir et al, 2020; Obeidat et al, 2021; W. Yang et al, 2018).…”