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生态学杂志 ›› 2025, Vol. 44 ›› Issue (2): 673-683.doi: 10.13292/j.1000-4890.202502.034

• 技术与方法 • 上一篇    下一篇

自然湿地参与的大沽河流域水权交易模型

谢文静1,郝成伟2,张俊龙1,陈明帅1,武可欣1,尤立3,孔范龙1*   

  1. 1青岛大学环境科学与工程学院, 山东青岛 266071; 2青岛市园林和林业综合服务中心, 山东青岛 266061; 3中国科学院生态环境研究中心, 工业废水无害化与资源化国家工程研究中心, 北京 100085)

  • 出版日期:2025-02-10 发布日期:2025-02-13

Water rights trading model in Dagu River Basin with the participation of natural wetland.

XIE Wenjing1, HAO Chengwei2, ZHANG Junlong1, CHEN Mingshuai1, WU Kexin1, YOU Li3, KONG Fanlong1*   

  1. (1College of Environmental Science and Engineering, Qingdao University, Qingdao 266071, Shandong, China; 2Qingdao Municipal Gardening and Forestry Comprehensive Service Center, Qingdao 266061, Shandong, China; 3National Engineering Research Center of Industrial Wastewater Detoxication and Resource Recovery, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China).

  • Online:2025-02-10 Published:2025-02-13

摘要: 基于水权交易进行湿地配水是湿地生态需水保障的制度创新。本文基于区间两阶段随机双层不确定性规划方法构建水权交易模型,定量分析自然湿地参与交易机制对大沽河流域水资源系统的效应。结果表明:自然湿地参与交易机制减少了河段环境容量,限制了行业排污量及实际用水量;此外,该机制下自然湿地通过买入水权满足其需水量成为水权主要买方,提高了市场活力,而社会生产用户间水权交易量降低,种植业是生产用户中最主要的水权出让方;该机制考虑自然湿地的生态效益,随着植被覆盖率的提高,系统效益随之增大;基于多判据分析,自然湿地参与交易机制下75%植被覆盖率情景表现最优。研究结果可为自然湿地作为市场主体参与水权交易提供理论基础,为生态、生产用水协同优化配置提供决策支持。


关键词: 生态需水保障, 自然湿地, 市场主体, 水权交易, 不确定性

Abstract: Wetland water allocation based on market mechanism is an institutional innovation for the insurance of ecological water demands. A water rights trading model was constructed based on interval two-stage stochastic bi-level uncertainty programming method. We quantitatively analyzed the effect of natural wetlands’ participation on water resource system of Dagu River Basin. The results showed that the trading mechanism of natural wetlands participation reduces the environmental capacity of river sections and limits the amount of pollutant discharge and actual water consumption of industries. Under such mechanism, natural wetlands become the main buyer of water rights by purchasing water rights to meet their water demands, thereby enhancing market vitality. In contrast, the trading amount among social production users would decrease, and the planting industries would become the main seller of the social production users. This mechanism considers the ecological benefit of natural wetlands. The system benefit increases with increasing vegetation coverage. Based on the multi-criteria analysis, a vegetation coverage rate of 75% under the trading mechanism with natural wetlands participation has the best performance for water rights trading. Our results can provide a theoretical basis for natural wetlands to participate in water rights trading as main market players, providing a decision support for the coordinated optimal allocation of water resources in ecology and production use.


Key words: insurance of ecological water demand, natural wetland, market entity, water rights trading, uncertainty