Risk Assessment of Flood Disaster in Sichuan Province Based on GIS

Abstract

In the context of global climate change, flood disaster has become one of the significant disasters endangering human life. Sichuan Province has more annual precipitation and complex landforms, which suffer from yearly floods. To reveal the spatial distribution and spatiotemporal dynamic change characteristics, we developed a risk assessment model based on geographic information systems and natural disaster risk assessment theory. Considering both natural and human factors, precipitation, terrain, climate type, population, and GDP are selected as evaluation indexes. We Used the expert score-AHP method to obtain the annual flood disaster risk regionalization from 2017 to 2021. In the end, the results were compared with the entropy weight method in the objective weighting method. The results showed that the comprehensive flood disaster risk in Sichuan Province is higher in the east and lower in the west. The flood disaster risk in the eastern hill area, Panxi area, and northeast Sichuan Basin is generally higher. In contrast, that in the west Sichuan Plateau is lower. Based on the evaluation results, it is found that the risk assessment of flood disasters based on expert scoring-AHP method is more in line with the actual situation.

Modified geomorphic flood index (GFI) using land use parameter and effective rainfall ratio at Cikapundung River

“…Based on those studies, it can be seen that spatial flood analysis is developed. Other examples include the use of GIS in flood risk assessment using the expert score-AHP method to obtain annual flood disaster risk regionalization [17] and a new spatial method has been developed to improve the parameterization of the spatial analysis method for watershed-scale flood hazard susceptibility mapping [18]. This proposed method is useful for doing a rapid assessment for flood risk analysis to support sustainable cities and human settlements in the Sustainable Development Goals (SDGs) number 11…”