Abstract:The Taihu Lake Basin, with its well-developed industry clusters, water-intensive networks, and strong water environmental sensitivity, was used as an example to support a rational explanation for the constraint of water environmental capacity on industrial clustering. From an environmental geography point of view, several factors, such as geomorphic conditions, connection conditions to outside water bodies, water quality needs, water channel conditions, and current water quality, were selected for evaluating and regionalizing water environmental capacity, using GIS spatial analysis. Then, the special optimization of agricultural and industrial clustering was adjusted, according to the balance between industrial clustering space and water environment carrying capacity. The results showed that water environmental capacity in the Taihu Lake Basin with spatial differences, gradually decreased from the northeast along the Yangtze River to southwest of Taihu lake, in contrast, the pollution caused by industrial clustering distributed along Taihu Lake, Gehu Lake, and Changdang Lake. Furthermore, agricultural clustering space focused on optimizing key protected areas of Taihu Lake, the shores of Gehu and Changdang lake, optimal adjusting second protected areas and southern regions of the Taihu Lake, general adjusting urban district of Changzhou, Wuxi and Suzhou City; Industrial clustering space focused on optimizing the downtown of Changzhou, Wuxi, and Suzhou, optimal adjusting key protected area and second protected areas of the Taihu Lake Basin, general adjusting industrial concentrated area in townships.
赵海霞, 王梅, 段学军. 水环境容量约束下的太湖流域产业集聚空间优化[J]. 中国环境科学, 2012, 32(8): 1530-1536.
ZHAO Hai-Xia, WANG Mei, DUAN Xue-Jun. Spatial optimization of industrial clustering under the constraint of water environmental capacity in Taihu Lake Basin. CHINA ENVIRONMENTAL SCIENCECE, 2012, 32(8): 1530-1536.