A D-vine Copula-based model for identification of associated water pollution risk in interconnected river system network

In water resource conservation and development, interconnected river system network (IRSN) has become an effective measure to increase water resources efficiency and allocation．IRSN improves heterogeneous distribution of water resources and freshwater ecological restoration．However, uncertainties due to natural and anthropogenic forces still exist．Therefore a D-vine Copula-based model was developed to identify risk factors in IRSN．IRSN of Nansi Lake was utilized to identify risk of water quality indicators before and after the connection project．Three water quality indicators (NH₃-N, TN and Chla) were considered primary risk factors．Water resource managers are suggested to pay more attention to TN．The D-vine Copula-based model provides useful reference and technical assistance in IRSN projects．