School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou, 450000, Henan, China.
China Water Resources Beifang Investigation, Design and Research Co. Ltd, Tianjin, 300222, China.
Environ Sci Pollut Res Int. 2019 Mar;26(8):7793-7803. doi: 10.1007/s11356-019-04208-z. Epub 2019 Jan 24.
Due to the complexity of ecological compensation standards and methods, some problems cannot be expected before compensation, but the evaluation of eco-compensation effect can feedback the implementation effect of eco-compensation policies and provide reference for the improvement of eco-compensation policies. This paper constructed a comprehensive evaluation index system of eco-compensation, which covered social and economic development, pollution discharge and monitoring, and pollution treatment aspects. An eco-compensation comprehensive evaluation model was established, which consisted of the projection pursuit model (PP model) and the chaotic particle swarm optimization algorithm (CPSO algorithm). The Xiaohong River Basin in China was selected as a case study. Before and after the implementation of eco-compensation policy, the compensation effects in the four counties in the basin from 2008 to 2015 were evaluated. The results showed that through the implementation of the basin eco-compensation policies, the comprehensive indicators in the four counties showed an upward trend, which indicated that the eco-compensation of the basin had achieved certain effects. Among them, Xincai was the best, and could provide reference for other counties. The research results can provide new ideas and new methods for the evaluation of eco-compensation effects.
由于生态补偿标准和方法的复杂性，一些问题在补偿前无法预料，但生态补偿效果的评价可以反馈生态补偿政策的实施效果，为生态补偿政策的完善提供参考。本文构建了一个涵盖社会经济发展、污染排放与监测、污染治理等方面的生态补偿综合评价指标体系。建立了一个由投影寻踪模型（PP 模型）和混沌粒子群优化算法（CPSO 算法）组成的生态补偿综合评价模型。选择中国小红河流域作为案例研究区，对流域内 4 个县在 2008 年至 2015 年实施生态补偿政策前后的补偿效果进行了评价。结果表明，通过实施流域生态补偿政策，流域内 4 个县的综合指标呈现出上升趋势，这表明流域的生态补偿取得了一定的效果。其中，新蔡县的效果最好，可以为其他县提供参考。研究结果可为生态补偿效果评价提供新的思路和方法。
