摘要
对流域生态补偿现状进行分析研究,从生态效果、经济水平、社会公平及政策投入4个方面构建流域生态补偿效果评估指标体系;在此基础上,针对评估指标较多和专家评判时容易出现一致性差等问题,提出一种改进SobolSSA-ANP (sobol sparrow search algorithm-analytic network process)方法,并基于该方法对太湖流域的生态补偿效果进行评估。结果表明:太湖流域生态补偿实施效果介于一般和较好之间,且倾向于较好;从2010年到2020年,通过实施生态补偿政策,太湖流域生态补偿效果呈逐渐上升趋势;为进一步提升生态补偿效果,太湖流域需加大资金投入和提升政策满意度。为此,流域可推动多主体参与的横向生态补偿政策以拓宽资金渠道,实现生态资源到生态资本的转化。研究结果可以为流域生态补偿效果的评估和生态补偿政策的制定提供借鉴与参考,对提升流域治理能力现代化水平具有重要的现实意义。
To improve the watershed ecological environment, and to realize the sustainable development of water resources, government and scholars have taken a series of investigations. Combined with the flexibility of payment for watershed ecosystem services and the efficient management of government, China proposed watershed ecological compensation and has piloted numerous ecological compensation programs in Xin’an Jiang, Taihu, and other watersheds. The implementation of ecological compensation has played an important role in the improvement of watershed ecology, and it has also impacted the economy, society, and other aspects of watersheds. Therefore, it is crucial to assess the impacts of ecological compensation on the ecology, economy, and society to further promote the implementation and improvement of ecological compensation policy.The evaluation index system, which includes the ecology, economy, social equity, and government investment is established by taking Taihu basin as a case study area. The ecology subsystem includes the per capita water resource, eutrophication index, and cyanobacteria density. The economy subsystem includes the total water supply,per capita disposable income, pollutant emission per unit gross domestic product, and the proportion of tertiary industry. The social equity subsystem includes the disposable income ratio between urban and rural, the health security number of beds per 10 thousand people. The government investment includes the investment in ecological protection. Based on the Dithering Sobol Sequence improved Sparrow Search Algorithm(SobolSSA) and Analytic Network Process(ANP), the evaluation model SobolSSA-ANP is constructed. In the proposed model, the ANP is adopted to analyze the influence relationship among indexes and to determine the evaluation matrix. The SobolSSA model is adopted to optimize the coefficients in the matrix dynamically. Subsequently, the optimized coefficients are input into the AHP model to reconstruct the evaluation matrix and to assess the eco-compensati
作者
邓梦华
何泽恩
程思聪
郑鸿斌
DENG Menghua;HE Zeen;CHENG Sicong;ZHENG Hongbin(Business School,Hohai University,Nanjing 210098,China;College of Internet of Things Engineering,Hohai University,Nanjing 210098,China;Jiangsu Research Base of Yangtze Institute for Conservation and High-Quality Development,Hohai University,Nanjing 210098,China)
出处
《南水北调与水利科技（中英文）》
CAS
CSCD
北大核心
2023年第1期148-159,共12页
South-to-North Water Transfers and Water Science & Technology
基金
国家自然科学基金项目(42001250)
中央高校基本科研业务费项目(B200201032)
常州市领军型创新人才引进培育项目(CQ20210095)。
