State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, China; China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Institute of Science and Technology, China Three Gorges Corporation, Beijing, 100038, China.
Chemosphere. 2022 Nov;307(Pt 4):136122. doi: 10.1016/j.chemosphere.2022.136122. Epub 2022 Aug 24.
In recent years, due to the intensification of human activities, water ecological problems are gradually increasing. As the third largest freshwater lake in China, Lake Taihu is an important drinking water source for several densely populated cities in China. The prominent water ecological problem in this area is mainly Cyanobacteria Bloom. Cyanobacterial blooms have been erupting which have affected local residents' drinking water and caused losses to the national economy. Based on the interpretation results of MODIS data in the Lake Taihu region from 2004 to 2014, this paper analyzes the main driving factors of cyanobacterial bloom are phosphorus and potassium through the correlation analysis of nitrogen, phosphorus, potassium and cyanobacteria area, normalizes nutrient, and identifies that the water level of Lake Taihu is the influencing factor of cyanobacterial bloom. A Lake Taihu cyanobacteria bloom hazard function is constructed to quantitatively assess the losses (economic losses) caused by cyanobacterial blooms from 2001 to 2012, supporting for cyanobacteria control management in Lake Taihu.
近年来，由于人类活动的加剧，水生态问题逐渐增多。太湖作为中国的第三大淡水湖，是中国几个人口密集城市的重要饮用水源。该地区突出的水生态问题主要是蓝藻水华。蓝藻水华的爆发不仅影响了当地居民的饮用水，也给国家经济造成了损失。基于 2004 年至 2014 年 MODIS 数据在太湖地区的解释结果，本文通过对氮、磷、钾与蓝藻面积的相关分析，对主要的蓝藻爆发驱动因子磷和钾进行了分析，对养分进行了归一化，并指出太湖水位是蓝藻爆发的影响因素。构建了太湖蓝藻水华危害函数，对 2001 年至 2012 年蓝藻水华造成的损失（经济损失）进行了定量评估，为太湖蓝藻的控制管理提供了支持。
