Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

Abstract

A multi-criteria analysis (MCA) approach to describe the effective utilization of geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) of Assam State, India is presented. The KRB is chronically flood affected due to seasonal monsoon and rise in water levels of Kopili River. Based on the MCA approach using flood hazard layer derived from the spatio-multi-temporal historic satellite data-sets (comprising of sensors from RISAT-1 SAR, Radarsat SAR and IRS AWiFS), socio-economic data (based on five census variables), infrastructure (road network) and land use vulnerabilities (cropped and uncropped areas), flood risk zones are derived. Our study elucidates that 24,837 ha of crop area spread across 95 villages in the KRB falls in high risk zone, about 39,209 ha distributed in 150 villages falls under moderate-high risk zones and remaining area spread over 162 villages is more or less unaffected. The proposed approach can be applied elsewhere in other river basins to estimate the flood risk so as to mitigate the disaster risk posed by the floods.

GIS-Based Multi-Criteria Approach for Flood Vulnerability Assessment and Mapping in District Shangla: Khyber Pakhtunkhwa, Pakistan

“…In recent decades, the flood intensity and effects have resulted in a variety of studies and approaches in various countries, such as the USA [16], Slovakia [30], India [31], and Germany [32]. The flood vulnerability assessment was intensified by modifying different parameters, indexes, and indicators, as shown by the GIS space performance platform [33][34][35].…”

Incorporating stakeholders’ preferences into a multi-criteria framework for planning large-scale Nature-Based Solutions

“…There is an extensive literature on MCA application in flood risk management that has been reviewed by De Brito and Evers (2016). MCA techniques have been employed in a wide variety of flood risk problems, namely, Shivaprasad Sharma et al (2018) for flood risk assessment; Dang et al (2011) for evaluation of the most important flood risk parameters; Fernández and Lutz (2010) for flood hazard mapping, Azibi and Vanderpooten (2003) for selecting grey infrastructures to reduce flood risk and Shan et al (2012) for reservoir flood control and emergency management problems. However, few applications of MCA tools exist for the selection of NBS measures.…”

Flood Vulnerability Assessment of Settlements in the Niger-benue Trough, Central Nigeria

“…Smart applications are therefore required using either structural measures by way of constructing flood retention walls, dykes, reservoirs and detention basins or the use of non-structural measures which include flood forecasting, flood mapping and proofing, as well as flood hazard zoning [7]. The structural option of flood control is time consuming, requires extensive field work, manpower and a wanton amount of financial resources, whereas for a confluence zone such as the Niger-Benue, chronically ravished by floods following predictions of more rainfall, climate change, and severe weather conditions as noted around the world, even the El Nino/La Nina-Southern Oscillation, the recent massive release of water from dams, requires not just monitoring on a regular basis [8] but a simulation of its occurrence, so as damages and other eventualities that ensue can be managed sustainably (Olayinka, et al 2013).…”