Daimin Li1, Yanhui Ding1, Mingxia Li1, Xianrong Xu2, Xiaoli Chen2, Shuying Zhang1
1College of Science, Chongqing University of Technology, Chongqing, 400054, China
2Chongqing Institute of Intellectual Property, Chongqing University of Technology, Chongqing, 400054, China
The increasing production of hazardous waste and the imbalance of regional disposal capacity are more and more prominent in the contradiction between industrial development and environmental protection. His paper takes the production of hazardous waste as the research object, combined with the geographic information system, and based on the regional difference and institutional density of hazardous waste , starting from the production of hazardous waste in each province, reveals the temporal and spatial evolution law of hazardous waste production in China, and explores the potential gathering areas of high-risk hazardous waste and their site selection in the future. Based on the hazardous waste disposal capacity of each province, the production of hazardous waste in the next five years in the high-high-type regions was predicted by using the Holt-Winters model fitting prediction model . The results show that there is no significant spatial autocorrelation of hazardous waste production in China. As can be seen from the local accumulation characteristics of hazardous waste production in each province, the high-high type is mainly concentrated in the eastern coastal area. During 2011-2019, the number of high-high type significant hot spots increased from 1 to 4.In the next five years, the production of hazardous waste in high-high-type regions will continue to increase, and it may move to the direction of decline in Shandong Province. Based on the weighted factor method, the proposed optimal location of hazardous waste treatment plant is located in Yancheng City, Jiangsu Province.
GIS, Spatiotemporal evolution, Prediction, Site selection
Daimin Li, Yanhui Ding, Mingxia Li, Xianrong Xu, Xiaoli Chen, Shuying Zhang. Analysis of hazardous waste based on GIS. Academic Journal of Environment & Earth Science (2021) Vol. 3 Issue 2: 24-28. https://doi.org/10.25236/AJEE.2021.030205.
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