Flood hazard modelling and risk assessment in the Nadi River Basin, Fiji, using GIS and MCDA

Abstract

This paper presents a simple and affordable approach to flood hazard assessment in a region where primary data are scarce. Using a multicriteria decision analysis (MCDA) approach coupled with GIS layers for elevation, catchments, land-use, slope, distance from channel, and soil types, we model the spatial extent of flood hazard in the Nadi River basin in western Fiji. Based on the flood hazard model results we assess risk to flood hazards in the greater Nadi area. This is carried out using 2007 census data and building location data obtained from aerial photography. The flood model reveals that the highest hazard areas in Nadi are the Narewa, Sikituru and Yavusania villages followed by the Nadi central business district (Nadi CBD). Closer examination of the data suggests that the Nadi River is not the only flood vector in the area. Several poorly designed storm drains also present a hazard since they get clogged by rubbish and cannot properly evacuate runoff thus creating water build-up. We conclude that the MCDA approach provides a simple and effective means to model flood hazard using basic GIS data. This type of model can help decision makers focus their flood risk awareness efforts, and gives important insights to disaster management authorities.