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.

Highlights

  • Water is pivotal in the ecological environment and is a living resource for human beings

  • It has been a crucial task to select the correct governance approach according to the current conditions and management preferences, which is an issue that has to do with decision making

  • The group decision-making in this paper provides a feasible solution

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Summary

Introduction

Water is pivotal in the ecological environment and is a living resource for human beings. The water environment still faces a severe situation due to its limited volume and recurring pollution. Algal bloom is a typical pollution in urban lakes and reservoirs. 30.7% of lakes are in the middle eutrophic degree [1] where algal bloom is highly likely. Algal bloom occurs when the eutrophication level is high. Various categories of governance approaches have been carried out to clear algal bloom, including physical, chemical, biological, and ecological approaches [2,3]. The advantages and application conditions of each approach are different. It has been a crucial task to select the correct governance approach according to the current conditions and management preferences, which is an issue that has to do with decision making

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