A risk assessment model, including risk evaluation indexes, for river water pollution was established using the fuzzy theory and the variation coefficient was used to weight the indexes and the five levels of water pollution risk was defined. The proposed approach is demonstrated for risk evaluation of water pollution in the Weihe River, located in northern China. The risk of water quality parameters and interval of water pollution were analyzed. The results showed that 79% of the river is in high risk and mainly located in lower reaches. The BOD5, COD and permanganate index are the greatest source of risk. Moreover, compared with different methods of the river water quality and risk assessment, the proposed method has its own advantage in risk evaluation of river water pollution.
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