4:00 PM - 6:00 PM
[HDS08-P04] Exposure analysis and assessing households flood damage with adaptation options in the Solo River basin of Indonesia
Keywords:Extreme event, Natural hazard, Residential household, Adaptation option, Exposure, Disaster risk reduction
Recently risk of flood disaster has been increasing by rapid development and urbanization activities in many countries. Flood disaster can cause serious damage to physical properties and loss of livelihoods. To reduce such damage, it is essential to plan and implement effective flood preventive and adaptation measures, which requires quantification of damage and risk. We presented an approach for quantifying flood damage to residential households and evaluating adaptation option of house buildings. We considered the Solo River basin in Indonesia for the study. Flood damage to residential households (building and assets) was assessed by coupling hydrologic-hydraulic model outputs and flood damage estimation model. Flood hazard and damage estimation was conducted for the historical extreme flood event (i.e., 2007 flood) and also for low scale flood event (i.e., 2009 flood). The flood simulation was conducted using the Water and Energy Budget-based Rainfall-Runoff-Inundation Model (WEB-RRI Model). The exposed population/houses in the flood prone areas were analyzed using different grid-based global population data sets, and then flood damage to residential households was quantitatively assessed by applying the available depth-damage curves. The estimated affected population and number of inundated houses were compared with reported data. The flood hazard and damage characteristics in the study area between the extreme flood event and low scale flood event were also analyzed. Additionally. we also discussed evaluation of adaptation option of residential houses to reduce the damage. The approach of flood damage quantification can be applied to assess damage for low scale flood to extreme event flood and evaluate quantitatively for adaptation measures. The results of this study can also be useful to policy makers, decision-makers, and planners to establish prevention measures and policies required for reduction of flood disasters.