Group Decision-Making Support for Sustainable Governance of Algal Bloom in Urban Lakes

Yi Yang, Yuting Bai, Xiaoyi Wang, Li Wang, Xuebo Jin and Qian Sun
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Yi Yang: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Yuting Bai: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Xiaoyi Wang: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Li Wang: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Xuebo Jin: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
Qian Sun: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China

Sustainability, 2020, vol. 12, issue 4, 1-16

Abstract: Algal bloom is a typical pollution of urban lakes, which threatens drinking safety and breaks the urban landscape. It is pivotal to select a reasonable governance approach for sustainable management. A decision-making support method was studied in this paper. First, a general framework was designed to organize the rational decision-making processes. Second, quantitative calculation methods were proposed, including expert selection and opinion integration. The methods can determine the vital decision elements objectively and automatically. Third, the method was applied in Yuyuantan Lake in Beijing, China. The monitoring information and decision-making process are presented and the rank of governance alternatives is given. The comparison and discussion show that the group decision-making method is feasible and effective. It can assist the sustainable management of algal bloom.

Keywords: algal bloom; sustainable governance; group decision-making; machine learning (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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