摘要： Abstract：The application of the Benthic Index of Biological Integrity (B-IBI) to evaluate river health has become an important method for river ecosystem management. The B-IBI was established by sampling macroinvertebrates communities at 62 sampling sites in Hun River basin in May, 2010, selecting the standard of the water quality, habitat quality, human activity intensity and land use type, and referring to the other extra 8 sampling sites in Taizi River basin attached to the larger Liaohe River basin. The B-IBI included 6 core indexes (the total number of taxa, relative abundance of EPT, relative abundance of pollution resistant groups, number of taxa of the most dominant group，relative abundance of direct collectors, and Shannon-Wiener index) by analyzing the distribution ranges, discriminating power and their inter-correlation of 34 candidate biological parameters of macroinvertebrates. According to the dynamic trend of each parameter value with the external interference enhancement, the score and the evaluation standard of each index are calculated by the ratio method. By using those criteria，the results of river health assessment indicate that the average values of B-IBI scores was 2.56 in Hun River Basin, and its health status was in “fair” shape. Among of the 62 sampling points, 9 sites were “healthy”, 13 sites were “sub-healthy” , 22 sites were “fair” , 10 sites were “poor” and 8 sites were “very poor”. From the spatial scale of the basin, the health status of the river gradually deteriorated from the upstream to the downstream regions. B-IBI scores were significant correlated with water temperature, conductivity, total dissolved solids, NO3-N, TN and BOD5 negatively. The research shows that the Hun River basin was affected by the distribution of current urban industrial areas. Thus, the macroinvertebrates biological integrity appeared obvious spatial distribution differences: the upstream was in good biological integrity, and benthic communities at the middle and lower reaches were facing obvious degradation trend.