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It is one of the key topics in landscape pattern and ecological process analysis to combine landscape pattern analysis and water quality monitoring, so as to assess the impact of urban landscape change on water quality. Moreover, to realize the harmonization between urban development and water quality protection, it is in great need for the quantitative analysis of the relationship between urban landscape change and water quality degradation. Unfortunately, there is no enough scientifically understanding on the very relationship so far. One of the solutions is to quantify the degradation threshold of urban landscape change impact on water quality. In this research, nonlinear regression was used to analyze the relationship between urban landscape change and water quality degradation, and a new method was developed to estimate the threshold based on cross鄄section statistics. Impervious Surface Area (ISA) was conducted to monitor the urbanization degree in the watershed, and chemical indicators were used to analyze the water quality. All of 31 sample sites and watersheds were selected in Shenzhen. Watershed and buffer zone scale of urban landscape change was quantified with the application of Linear Spectral Mixture Method using Landsat TM images, and water quality was monitored 12 times a year using 15 water quality indicators. Both were collected in 2005. The results indicated that, when stream buffer zone was set

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