Prioritization and identification of vulnerable sub-watersheds using morphometric analysis and an integrated AHP-VIKOR method

Abstract

The current study used satellite imagery datasets to extract various morphometric parameters in a geospatial environment to prioritize the problematic areas in the Rarhu watershed of Ranchi district, Jharkhand, India. Two decision-making methods, AHP and VIKOR, were integrated for prioritizing different sub-watershed. The Rarhu watershed has an area of 630 km2 with an elevation ranging from 824 to 210 m. NASADEM was used to extract drainage networks which were verified from Survey of India (SOI) toposheets. To prioritize 21 sub-watersheds using the MCDM method, 11 morphometric parameters were selected from linear, areal, and relief parameters. The VIKOR method prioritized sub-watersheds using AHP criteria weights, which are classified into four priority levels ranging from very high to low. In addition, performing sensitivity analysis validated the robustness of the decision-making model. As per the analysis, Rarhu watershed has an elongated shape and the highest 6th order stream with a dendritic pattern of streams. Nearly 36.17% of the area is more vulnerable with very high priority. Using the results of the study, policymakers, watershed planners, watershed development programme, and soil and water conservation programme can identify vulnerable sub-watersheds that require urgent adaptation of soil and water management control measures.

Analyzing critical factors of strategic alignment between operational excellence and Industry 4.0 technologies in smart manufacturing

“…Then, the GRA method is used to define alternative manufacturing industries, according to critical factors of strategic alignment between OPEX methodologies and I4.0 technologies for manufacturing industries is in better condition. AHP is the most preferred method for criterion weighting (Topno et al. , 2022).…”