| With the rapid advance of industrialization process in recent years, energy resource-based economic development model caused serious environmental pollution and destruction to Erhai watershed. Erhai watershed has been in classIIIwater quality since 1999 and highlighted the eutrophication state phenomenon. The increasingly exhausted resources causing worsening impact to industries, the optimization and upgrading of industrial structure was faced with severe challenges. After The eighteenth National Congress of the Communist Party of China(CPC) and The 18th Central Committee of the CPC, the emergence of the new normal, resource scarcity, energy shortages, environmental pollution and the realization of the steady growth required industrial adjustments in the direction of the fundamentals, intensive and ecological.Based on summarizing the existing research results on the basis of regional economics, human geography, environmental geography theory, the paper used the optimization theory to build multi-objective dynamic programming model in order to address controlling objectives of total major pollutants amount with taking account of the water carrying capacity in Erhai watershed.Firstly, based on the water environment situation in Erhai watershed, by calculating the comprehensive nutrition state index(2000-2014),which indicated COD, TP, TN were the major pollutants in Erhai watershed, and water quality showing a clear decreased trend from Ⅱclass to Ⅲclass. The main pollutants spatial distribution reflects the agricultural nonpoint source pollution mainly concentrated in the northern region, and industrial point source pollution is mainly concentrated in the southern region. The water has exceeded the carrying capacity of the environment of Ⅱ class because of the amount of pollution loaded into the lake, which generated greater pressure on water environment protection in Erhai watershed. Then, based on the industrial structure, using Hamming osculating method analyzing industrial rationality, which showed the industrial structure exhibited significant regional differences in past fifteen years. On the basis of these two aspects of analysis, using canonical correlation analysis studying the law of water environmental response to the industrial structure, which showed that the first industry were highly correlated with TN, TP emissions and moderately correlated with COD emissions in the first canonical correlation; the second industry were highly positively correlated COD emissions in the second canonical correlation.Secondly, based on the economic constraints, environmental constraints, demographic constraints, multiple metrics resource constraints, labor constraints and demand constraints, the paper built multi-objective optimization model in order to predict the output and emissions of agriculture, industry and tourism under different scenarios of pollutants in 2020 of Erhai watershed. After analysis and comparison, choosing the balanced-growth scenario as the best program of industrial restructuring in Erhai watershed. The reasons were that the scenario was not only to ensure the economic growth within the constraints of the predicted values, but also to achieve the main pollutant emissions reduction target of 15%.Finally, using the concept of environmental geography to evaluate the water environmental capacity of Erhai watershed and explain regional differences in the spatial distribution. Then, according to the balance between industrial clustering space and water environment carrying capacity, divided agriculture, industry, tourism as the core adjusting area, priority adjusting areas, general adjusting areas. According to the corresponding industrial layout plan, agriculture, industry and tourism were respectively planning to form "Four Laps, Five Belts", "Three Groups, Three Area", "Five Metropolis, One Road, One Corridor" as the main body, and put forward the appropriate adjustments and recommendations. |
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