| 面向关系结构的水资源集对分析研究进展 |
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| 引用本文： | 金菊良,沈时兴,崔毅,陈鹏飞,汪明武,陈梦璐. 面向关系结构的水资源集对分析研究进展[J]. 水利学报, 2019, 50(1): 97-111 |
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| 作者姓名： | 金菊良 沈时兴 崔毅 陈鹏飞 汪明武 陈梦璐 |
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| 作者单位： | 合肥工业大学 土木与水利工程学院, 安徽 合肥 230009;合肥工业大学 水资源与环境系统工程研究所, 安徽 合肥 230009,合肥工业大学 土木与水利工程学院, 安徽 合肥 230009;合肥工业大学 水资源与环境系统工程研究所, 安徽 合肥 230009,天津大学 水利工程仿真与安全国家重点实验室, 天津 300072,合肥工业大学 土木与水利工程学院, 安徽 合肥 230009;合肥工业大学 水资源与环境系统工程研究所, 安徽 合肥 230009,合肥工业大学 土木与水利工程学院, 安徽 合肥 230009;合肥工业大学 水资源与环境系统工程研究所, 安徽 合肥 230009,合肥工业大学 土木与水利工程学院, 安徽 合肥 230009;合肥工业大学 水资源与环境系统工程研究所, 安徽 合肥 230009 |
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| 基金项目： | 国家重点研发计划项目（2016YFC0401303）；国家自然科学基金项目（51579059，51779165） |
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| 摘 要： | 水资源-经济社会-生态环境复杂系统的智能分析是水利科学发展和经济社会发展的重要研究,面向关系结构的集对分析从确定性不确定性的联系和转换的角度提供了一种全面、细致、动态分析该复杂系统的基本途径,对定量处理水资源复杂系统确定性不确定性问题具有重要意义。基于文献计量方法分析指出水资源集对分析研究正发展为一个新兴领域,主要研究成果集中于水利工程、土木工程和资源科学领域,研究热点主要有集对分析中的联系度和联系数方法、水资源分析预测与评价方法及其在水资源承载力、水资源可持续利用、水安全、水资源-经济社会协调发展中的应用。基于上述研究热点,在阐述水资源集对分析的关系结构特征基础上,重点综述了水资源集对关系结构分析、水资源集对预测、水资源集对评价、水资源集对决策调控4个方向的研究进展,并展望了水资源集对分析研究的未来发展趋势,以期进一步推动水资源集对分析的发展,为水资源复杂系统分析管控提供重要理论支撑。
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| 关 键 词： | 水资源复杂系统 水资源集对分析 关系结构 联系数 预测评价 决策调控 |
| 收稿时间： | 2018-10-08 |
Research progress of relation structure-oriented set pair analysis in water resources |
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| JIN Juliang,SHEN Shixing,CUI Yi,CHEN Pengfei,WANG Mingwu and CHEN Menglu. Research progress of relation structure-oriented set pair analysis in water resources[J]. Journal of Hydraulic Engineering, 2019, 50(1): 97-111 |
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| Authors: | JIN Juliang SHEN Shixing CUI Yi CHEN Pengfei WANG Mingwu CHEN Menglu |
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| Affiliation: | School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China,School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China,State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China,School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China,School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China and School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;Institute of Water Resources and Environmental Systems Engineering, Hefei University of Technology, Hefei 230009, China |
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| Abstract: | Intelligent analysis of complex system of water resources-social economy-ecological environment is an important research frontier in the progress of hydro science and socioeconomic development. From the perspective of connection and transformation between certainty and uncertainty, relation structure-oriented set pair analysis provides a basic approach for overall, detailed and dynamic analysis of water resources complex system. That is of great significance to quantitatively deal with the certain and uncertain problems in water resources complex system. Based on the connotation of relation structure characteristics of set pair analysis, this paper pointed out that the set pair analysis in water resources was a developing research field according to bibliometric analysis, which mainly focused on water conservancy project, civil engineering and resources science. Furthermore, the main hotspots were the determination methods of connection degree and connection number in set pair analysis, the prediction and evaluation methods for water resources analysis, and their applications in carrying, utilization and security of water resources, also the coordinated development between water resources and economic society. And then, the research progresses of relation structure of set pair analysis in water resources, set pair prediction, set pair evaluation, and set pair decision-making and control in water resources were summarized. Moreover, the corresponding future development trends were expatiated. This study can promote the development of set pair analysis in water resources, and also can provide an important theoretical support for the analysis and management of water resources complex system. |
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| Keywords: | water resources complex system set pair analysis in water resources relation structure connection number prediction and evaluation decision-making and control |
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