| Based on the water quality data from 14 sampling sites in the rivers of Suzhou ancient city zone and the point of interest (POI) data, the correlation between the water quality of the rivers in ancient city zone and the surrounding POI types was analyzed. Principal component analysis was used to calculate the comprehensive water quality index of each sampling site. Based on GIS spatial analysis technology, POI single type point density index and POI multi type kernel density index representing human interference intensity were calculated. Finally, Pearson correlation analysis was used to explain the effect of POI data on water quality. The results showed that water quality was highly dependent on the spatial distribution of POI types. The water quality was good in central ancient city zone but was poor in the north and south. Pearson correlation coefficient between POI multi type kernel density index with buffer radius of 50 m, 100 m, 150 m, 200 m, 250 m, 300 m and water quality comprehensive index were 0.559, 0.607, 0.573, 0.521, 0.466, 0.422, respectively. The correlation was significant when the buffer radius was 100 m. |
