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首页> 外文期刊>Environmental science & policy >Trade-offs in designing water pollution trading policy with multiple objectives: A case study in the Tai Lake Basin, China
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Trade-offs in designing water pollution trading policy with multiple objectives: A case study in the Tai Lake Basin, China

机译：设计多目标水污染贸易政策时的权衡：以中国太湖流域为例

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The design of an emissions trading system crucially depends not only on cost-efficiency but also on the nature of the pollutant being regulated and traded. Because the water quality impacts of the pollution discharged by polluters are closely related to the polluters' locations, a water pollution trading system for non-uniformly mixed pollutants such as chemical oxygen demand (COD) may cause violations of predetermined water quality standards over the length of a river. Trading ratios are a way of ensuring the equivalency of the potential water quality impact between an allowance generated in one location and used in another location in a watershed. This research proposed a zonal-based trading ratios (ZTR) system to improve cost-efficiency while meeting environmental constraints. An artificial market for COD trading in the Wujingang watershed in Tai Lake Basin was constructed by applying an agent-based model. A Water Quality Analysis Simulation Program (WASP) model was introduced to predict the water quality impacts of the water pollution trading market on the river system. The results show that a simply designed tradable discharge permit (TDP) system for the Tai Lake Basin without trading ratios has the potential to decrease water quality in some locations. A trading market restricted by ZTR is more efficient in creating trade-offs between achieving cost-efficiency and meeting water quality standards. Thus, the integration of trading ratios in pilot programs for water pollution trading policy deployments in the Tai Lake Basin and throughout China is suggested to minimize adverse water quality impacts.
机译：排放交易系统的设计至关重要，不仅取决于成本效率，还取决于被监管和交易的污染物的性质。由于污染者排放的污染物对水质的影响与污染者的所在地密切相关，因此，针对化学需氧量（COD）等不均匀混合污染物的水污染交易系统可能会在一定时间内违反预定的水质标准一条河。交易比率是一种确保流域内一个位置产生的配额和另一位置所产生的配额之间潜在水质影响相等的方法。这项研究提出了一种基于区域的贸易比率（ZTR）系统，以在满足环境约束的同时提高成本效率。应用基于主体的模型，建立了太湖流域乌金岗流域COD交易的人工市场。引入了水质分析模拟程序（WASP）模型来预测水污染交易市场对河流系统的水质影响。结果表明，没有交易比率的太湖流域简单设计的可交易排放许可（TDP）系统可能会降低某些地区的水质。受ZTR限制的交易市场在实现成本效益和达到水质标准之间进行权衡时更为有效。因此，建议将贸易比率纳入太湖流域乃至整个中国的水污染贸易政策试点计划中，以最大程度地减少对水质的不利影响。

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