A decision-support method for water resource projects allocation at the city scale

This research aims at providing a decision-support method for the government and the public of their water resource projects allocation. The Water Poverty Index (WPI) is introduced to evaluate the extent of water supply shortage, and the WPI driving factors of each evaluated unit are analyzed using the Least Square Error (LSE) method. Then 32 types of water-supply related projects are organized by their contribution to WPI components. This paper provides a method to calculate a decision matrix bases on the results of WPI driving factor analysis and 32 types of water resource projects. The result of decision matrix calculation can be visualized to illustrate suggestions for the government and the public that which projects are most effective for a certain administrative unit. Qianjiang district, a mountainous poverty district in Chongqing city, southwest of China, is chosen as the study case in this research.