MCDM Approach for Mitigation of Flooding Risks in Odisha (India) Based on Information Retrieval

Abstract

Multi-criteria decision-making (MCDM) provides a suitable platform for groups as well as promotion of the participants' role in decision processes. This also enables the development of real participatory processes essential for the successful implementation and sustainable flood management programs. The present study contributes by applying two MCDM approaches for weighting the criteria related to the environmental impacts of flooding. Moreover, an attempt was made in this study by an extensive review of literature, and consultations with experts to identify the environmental impacts of flooding in Odisha State (India). Then, the Best Worst Method (BWM) followed by the Step-Wise Weight Assessment Ratio Analysis (SWARA) method was used to rank the environmental impacts which were considered as the risk factors. The result of this study will be useful to the governance system for an effective and proper planning, and implementation of flood mitigation projects.

Combating of Associated Issues for Sustainable Agri-Food Sectors

“…Additionally, despite the fact that other MCDM methods have been developed, or the discovery of criteria estimates and picking in light of their tendencies, one of the most popular methods that utilize comparisons was already considered to be the BWM, with even fewer data requirements and more trustworthy comparability [62]. Rezaei et al [63] found that the BWM is appropriate when there are fewer criteria to be taken into consideration and that it also generates more consistent findings with fewer pair-wise comparisons [64]. The SWARA technique, which is another way of doing MCDM and is capable of handling a range of criteria in any challenging situation, has also proven its unique application for a variety of decision-making procedures [65][66][67].…”

Unsteady flow analysis using hydrological and hydraulic models for real-time flood forecasting in the Vamsadhara river basin

“…Khattak et al's (2016) study demonstrates the use of hydraulic models and the GIS to construct flood extent maps for a stretch of Pakistan's Kabul river. GIS approaches, HEC-RAS, and multi-criteria decision analysis are promising for developing realistic flood extent predictions that are more effective in flood risk zonation (Ouma & Tateishi 2014;Rahmati et al 2015;Mishra & Satapathy 2021). Based on literature reviews, it may be stated that combining hydrological and hydrodynamic models enhances flood hazard response and management.…”

Investigating Eco-Environmental Vulnerability for China–Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information

“…Alternatively, another recently developed MCDM method called the best-worst method (MCDM-BWM) by Rezaei, 2015 [48] has received recognition for its simplicity of use and efficiency [49][50][51]. It has already found its applications in flood risk analysis [52], assessment of solid waste management practices [53], landslide susceptibility mapping [54], and suitable site selection problems, etc. [55].…”