Abstract:A new method based on remote sensing data was proposed to quantitate the impact of cyanobacteria bloom on drinking-water intakes in Taihu Lake. At first, the vector map of Taihu Lake was converted to grid map and the weight factor of each grid was calculated by weighting function. Secondly, the weighted grid map and the cyanobacteria distribution map based on remote sensing data were overlaid to calculate the impact factor of each grid. Finally, the normalized impact index (NII) was generated to assess the impact of cyanobacteria bloom on water intakes. According to the application of this method using MODIS EVI image on 1st to 16th May 2007 in Taihu Lake, the method performed well and was accorded with the distribution of cyanobacteria. It was also suggested that among the 3 weighting function models, the negative exponential model and normal distribution model were better than the linear one, and were suitable for impact assessment.
杜聪, 王世新, 周艺, 阎福礼. 应用遥感数据评价蓝藻水华对太湖取水口的影响[J]. 中国环境科学, 2009, 29(10): 1041-1046.
DU Cong, WANG Shi-Xin, ZHOU Yi, YAN Fu-Li. Impact assessment of cyanobacteria bloom on water intakes in Taihu Lake using remote sensing data. . CHINA ENVIRONMENTAL SCIENCECE, 2009, 29(10): 1041-1046.