Quantification of the Coordination Degree between Dianchi Lake Protection and Watershed Social-Economic Development: A Scenario-Based Analysis

Hansheng Kong, Yilei Lu, Xin Dong and Siyu Zeng
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Hansheng Kong: School of Environment, Tsinghua University, Beijing 100000, China
Yilei Lu: School of Environment, Tsinghua University, Beijing 100000, China
Xin Dong: School of Environment, Tsinghua University, Beijing 100000, China
Siyu Zeng: School of Environment, Tsinghua University, Beijing 100000, China

Sustainability, 2020, vol. 13, issue 1, 1-16

Abstract: Dianchi Lake is the largest freshwater lake on the Yunnan–Guizhou Plateau near Kunming City, China. As one of the most polluted lakes in China, although billions of U.S. dollars have been spent trying to clean it up, water pollution and eutrophication are still a bottleneck for regional sustainable development. This research established an integrated approach for the evaluation of the coupling coordination degree to support future planning of the Dianchi Lake basin. Ten future scenarios for possible development directions of Dianchi Lake basin were designed to find the best balance between development and protection. Among these scenarios, a high protection–medium development scenario is the most suitable scenario for future development planning. To further improve the coordination degree, economic growth control and non-point source governance were the most effective and feasible approaches. Furthermore, a water quality model was used to verify the coordination degree. It was found that the high protection–medium development scenario can reach the water quality target in 2025. The coordination degree evaluation could be a practical link to help equilibrate the socio-economic development and environmental protection of the Dianchi Lake basin.

Keywords: coordination model; Dianchi lake production; environmental fluid dynamics code (EFDC) water quality model; scenario analysis; policy recommendations; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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