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结构化决策以满足国家水质要求。

Structured Decision Making to Meet a National Water Quality Mandate.

作者信息

Martin David M, Piscopo Amy N, Chintala Marnita M, Gleason Timothy R, Berry Walter

机构信息

National Health and Environmental Effects Research Laboratory, U.S. Environmental Protection Agency, Narragansett, Rhode Island, USA.

出版信息

J Am Water Resour Assoc. 2019 Oct 1;55(5):1116-1129. doi: 10.1111/1752-1688.12754.

Abstract

Water quality criteria are necessary to ensure protection of ecological and human health conditions, but compliance can require complex decisions. We use structured decision making to consider multiple stakeholder objectives in a water quality management process, with a case study in the Three Bays watershed on Cape Cod, Massachusetts. We set a goal to meet or exceed a nitrogen load reduction target for the watershed and four key objectives: minimizing economic costs of implementing management actions, minimizing the complexity of permitting management actions, maximizing stakeholder acceptability of the management actions, and maximizing the provision of ecosystem services (recreational opportunity, erosion and flood control, socio-cultural amenity). We used multi-objective optimization and sensitivity analysis to generate many possible solutions that implement different combinations of nitrogen-removing management actions and reflect tradeoffs between the objectives. Results show that technological advances in controlling household nitrogen sources could provide lower cost solutions and positive impacts to ecosystem services. Although this approach is demonstrated with Cape Cod data, the decision-making process is not specific to any watershed and could be easily applied elsewhere.

摘要

水质标准对于确保生态和人类健康状况的保护至关重要,但合规可能需要做出复杂的决策。我们运用结构化决策方法,在水质管理过程中考虑多个利益相关者的目标,并以马萨诸塞州科德角的三湾流域为例进行了研究。我们设定了一个目标,即实现或超过该流域的氮负荷减少目标以及四个关键目标:将实施管理行动的经济成本降至最低,将许可管理行动的复杂性降至最低,使管理行动的利益相关者接受度最大化,以及使生态系统服务(娱乐机会、侵蚀和洪水控制、社会文化便利设施)的提供最大化。我们使用多目标优化和敏感性分析来生成许多可能的解决方案,这些方案实施不同组合的脱氮管理行动,并反映各目标之间的权衡。结果表明,控制家庭氮源方面的技术进步可以提供成本更低的解决方案,并对生态系统服务产生积极影响。尽管此方法是通过科德角的数据进行论证的,但决策过程并非特定于任何流域,并且可以很容易地应用于其他地方。

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