基于联系数的安徽省水资源承载力评价及空间差异诊断分析 |
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引用本文: | 李辉,金菊良,童芳,张礼兵,周玉良. 基于联系数的安徽省水资源承载力评价及空间差异诊断分析[J]. 水电能源科学, 2018, 36(7): 22-27 |
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作者姓名: | 李辉 金菊良 童芳 张礼兵 周玉良 |
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作者单位: | 合肥工业大学土木与水利工程学院;合肥工业大学水资源与环境系统工程研究所 |
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基金项目: | 国家重点研发计划(2016YFC0401303, 2016YFC0401305);国家自然科学基金项目(51609057,51579059) |
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摘 要: | 为定量评价安徽省水资源承载力的整体状况,诊断分析导致水资源承载力空间差异的主要因素,采用集对分析理论中的联系数方法诊断评价安徽省水资源承载现状,并利用减法集对势识别导致水资源承载力空间差异的主要因素。结果表明,安徽省江南地区水资源承载力最好,皖中地区次之,淮北地区的水资源承载力最差;从子系统层面分析,江南地区水资源承载支撑力子系统最好,皖中地区次之,淮北地区最差,但淮北地区水资源承载压力最小;从指标层面诊断分析,人均水资源量是导致安徽省各市水资源承载状况存在空间差异的最主要因素。研究成果可为安徽省水资源合理配置与调控提供技术支持。
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关 键 词: | 水资源承载力评价; 空间差异; 诊断分析; 联系数; 减法集对势; 安徽省 |
Evaluation and Spatial Differential Diagnosis Analysis of Water Resources Carrying Capacity in Anhui Province Based on Connection Number |
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Abstract: | In order to quantitatively evaluate the overall status of water resources carrying capacity system and diagnose the key indexes which led the system in vulnerability in Anhui Province, connection number method was used to evaluate the current status of water resources carrying capacity, and the set pair subtractive situation was adopted to identify vulnerability indexes that lead to spatial differences. The results show that the water resources in Jiangnan area of Anhui province are the best, followed by the Wanzhong area, and the water resources in Huaibei area are the worst. For subsystems, water resource carrying capacity support subsystem of Jiangnan area is the best, followed by the Wanzhong area, and the Huaibei area is the worst but its pressure of water resources carrying capacity is the least. For indexes, per capita water resources is the main index leading to the spatial difference of water resources carrying capacity in Anhui Province. The results can provide technical support for the rational allocation and regulation of water resources in Anhui Province. |
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Keywords: | water resources carrying capacity evaluation spatial differences diagnostic analysis connection number set pair subtractive situation Anhui Province |
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