Assessment of provincial waterlogging risk based on entropy weight TOPSIS-PCA method

Over the past few years, urban waterlogging disasters have caused serious losses to the national economy of China; therefore, creating technology for assessing waterlogging risk levels has become an important goal. Based on 25 post-screened evaluation indexes regarding the construction of waterlogging facilities, social and economic developments, and investments in scientific and technological innovation, the capacity of 31 provinces to prevent and mitigate waterlogging was comprehensively evaluated. The scores of six principal component factors were calculated by using the entropy weight TOPSIS method, and the coupled entropy weight TOPSIS-principal component analysis evaluation model was established. Moreover, in accordance with the evaluation results, measures for waterlogging prevention and disaster reduction are proposed. The results show that Beijing, Shanghai and Tianjin are the top three provinces regarding the capacity to control floods and mitigate disasters; this agrees well with the actual flood drainage standards and disaster losses of all provinces.

Automated summary

By evaluating various factors such as waterlogging facilities construction, social and economic developments, and investments in scientific and technological innovation, a model for assessing waterlogging risk levels was developed. The results revealed that Beijing, Shanghai, and Tianjin are the top three provinces in terms of flood control and disaster mitigation capacity. The findings align closely with actual flood drainage standards and disaster losses in all provinces.