自然资源学报

自然资源学报 ›› 2016, Vol. 31 ›› Issue (5): 886-893.doi: 10.11849/zrzyxb.20150528

• 资源研究方法 • 上一篇    下一篇

基于PSO优化逻辑斯蒂曲线的水资源安全评价模型

宋培争, 汪嘉杨*, 刘伟, 余静, 张碧   

  1. 成都信息工程大学资源环境学院,成都 610041
  • 收稿日期:2015-05-12 修回日期:2015-12-03 出版日期:2016-05-20 发布日期:2016-05-19
  • 作者简介:宋培争（1990- ）,男,河北石家庄人,硕士研究生,主要研究方向为水环境规划管理。E-mail:1484471426@qq.com *通信作者简介：汪嘉杨（1980- ）,女,四川泸州人,博士,副教授,主要研究方向为水文水资源。E-mail:wjj@cuit.edu.cn
  • 基金资助:
    国家自然科学基金项目（51209024,41101542）; 国家社会科学基金项目（13BGL0090）; 四川省科技支撑计划项目（2015GZ0241）; 四川省社会科学项目（SC14C007, SC15TJ019）; 四川省教育厅项目（15ZA0192,15ZA0189）

Water Security Evaluation Model Based on the Logistic Curve Optimized by Particle Swarm Optimization

SONG Pei-zheng, WANG Jia-yang, LIU Wei, YU Jing, ZHANG Bi   

  1. Department of Resources and Environment, Chengdu University of Information Technology, Chengdu 610041, China
  • Received:2015-05-12 Revised:2015-12-03 Online:2016-05-20 Published:2016-05-19
  • Supported by:
    National Natural Science Foundation of China, No.51209024 and 41101542; National Social Science Foundation of China, No.13BGL009; Science and Technology Support Program of Sichuan Province, No.2015GZ0241; Social Science Research Program of Sichuan Province, No.SC14C007 and SC15TJ019; Education Department Project of Sichuan Province, No.15ZA0192 and 15ZA0189

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被引次数

11 | 9

摘要： 论文引入“压力-状态-响应”框架模型构建区域水资源安全定量评价的指标体系,采用逻辑斯蒂（Logistic）曲线模拟区域水资源安全评价,公式中的参数采用粒子群算法（PSO）进行优化,并用灵敏度分析的方法对公式进行了可靠性分析。优化好的Logistic指数公式用于安徽省16个地级市水资源安全评价,计算得到各地级市评价指数和相应的评价等级,并对压力层、状态层、响应层子系统进行分析。评价结果表明,基于粒子群算法优化的Logistic指数公式用于区域水资源安全评价,具有合理性和可行性,能为区域水资源规划与管理决策提供科学依据。

关键词: 粒子群算法, 逻辑斯蒂曲线, 水资源安全, 压力-状态-响应模型

Abstract: Pressure-state-response frame model was introduced to build the index system of regional water resource security quantitative assessment. The Logistic index model was used to simulate the influence of each index, and the parameters in Logistic index formula were optimized with particle swarm optimization (PSO) algorithm. Sensitivity analysis was adapted to verify the reliability of the Logistic index formula. The evaluation indexes and grades of each prefecture-level city in Anhui Province were calculated by the optimized Logistic index formula, and the sub-systems of pressure, status, and respond were evaluated as well. The main conclusions are as following: Huangshan, Chizhou, Xuancheng, Tongling, Anqing, Lu’an, and Wuhu ranked grade Ⅱ among sixteen prefecture-level cities. Ma’anshan, Hefei, Huainan, Chuzhou, Huaibei, Bengbu, Suzhou, and Bozhou ranked grade Ⅲ. Fuyang ranked grade Ⅳ as insecure water resources. Further analysis on water resources security in pressure, status, and respond sub-systems showed that indicators of pressure sub-system reflected the effect of human economic and social activities on water resources. The indexes of Tongling, Hefei, Huainan and Ma’anshan are higher, indicating that the social economic, technical level and climate condition in these four cities provide better support to regional water resources. State sub-system reflected the safe coefficient of regional water resources. The indexes of Chizhou, Huangshan and Xuancheng are higher, showing safer utilization of regional water resources. Response sub-system reflected the countermeasures of water resources issues. The index of Hefei is the highest, showing that Hefei has the highest response intensity on water resources issues. The study shows that the Logical index formula optimized by particle swarm optimization is practical and feasible for regional water security assessment, and it provides scientific basis for regional water resource planning and management.

Key words: Logistic curve, particle swarm algorithm, pressure-state-response model, water resources security

中图分类号: 

  • TV213.4