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水资源红黄蓝分区管理研究 被引量:6

Research on the red-yellow-blue partition method for water resources management
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摘要 水资源分区管理研究对实施最严格的水资源管理制度,全面建设节水型社会具有重要意义。根据区域水资源利用状况及水环境效应的相似性、利用扩展最近邻算法将流域水资源划分为红黄蓝3个管理子区域,有针对性地采用不同的水资源管理措施。以泉州市为例,构建了该市水资源红黄蓝动态分区管理系统,并针对不同分区特点研究提出相应的管理模式与对策。结果表明:本文分区方法合理,减少了分区指标的差异性对分区结果的影响;水资源红黄蓝分区管理系统的构建有利于实现流域水资源动态化的严格管理。 Research on water resources partition management has great significance for putting strict water resources management system and building a water-saving society. According to the similarity of the situa-tion of water resources utilization and the effects of water-environment, the river basin water resources can be managed in three subregions marked with different colors of red, yellow and blue using extended near- est neighbor algorithms, and taking different water resources management measures for different subregions accordingly. Based on the case study of Quanzhou city, the authors created a red-yellow-blue partition sys- tem with visualization for water resources management, and put forward corresponding management mode and countermeasures for each subregion. The results show that such partition method works well and reduc-es the effects of differences in zoning indicators on regionalization; and the development of the red-yel- low-blue partition system is conductive to the realization of dynamic and strict basin water resources man-agement.
出处 《水利学报》 EI CSCD 北大核心 2013年第5期527-533,共7页 Journal of Hydraulic Engineering
基金 国家自然科学基金资助项目(51079120 51109177 51209170) 教育部人文社科研究项目(10XJCZH002) 陕西省科学技术研究发展计划(2012JQ5014) 水利部节水型社会建设项目"水综节水[2007]4号"
关键词 水资源管理 红黄蓝分区 扩展最近邻算法 可视化 water resources management red-yellow-blue partition extended nearest neighbor algorithms visualization
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