Mechanism and Evaluation Method of Water Resources Utilization System ulnerability

PAN Zheng-wei, JIN Ju-liang, LIU Xiao-wei, ZHOU Rong-xing

JOURNAL OF NATURAL RESOURCES ›› 2016, Vol. 31 ›› Issue (9) : 1599-1609.

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JOURNAL OF NATURAL RESOURCES ›› 2016, Vol. 31 ›› Issue (9) : 1599-1609. DOI: 10.11849/zrzyxb.20151218
Resource Research Method

Mechanism and Evaluation Method of Water Resources Utilization System ulnerability

  • PAN Zheng-wei1, JIN Ju-liang2, LIU Xiao-wei3, ZHOU Rong-xing1
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Abstract

Water resources system vulnerability has gradually become a hot topic in water issues in recent years. Hereinto, integrated vulnerability and vulnerabilities at different levels need to be further explored. Based on the analysis of the formation process of water resources utilization system vulnerability, the model of water resource utilization system vulnerability was built considering total water resources, development and utilization degree of water resources, water-use efficiency, etc. The goal was to further clarify the mechanism of water resources utilization system at different levels. When the contact component coefficient has the distribution characteristic of a wide peak, a bigger error of contact number based on triangular fuzzy number might be obtained. To solve this problem, the characteristics of the difference degree coefficient were further analyzed, and the trapezoidal fuzzy number of difference coefficients was constructed by using the standard threshold as parameters. The assessment model was established by using connection numbers of trapezoidal fuzzy numbers. The model was applied in vulnerability assessment of water resources system in Anhui Province. The results showed: the grade of water resources utilization system vulnerability in Anhui Province had a fluctuation between 3.611 and 2.493 from 2001 to 2014. Compared with the moderate vulnerability in 2001, the water resource utilization system vulnerability in 2014 was reduced significantly to a low level. This method avoids the errors when the value of the contact component coefficient has a wide peak, and can accurately reflect the objective reality of the water resource utilization system.

Key words

Anhui Province / set pair analysis / trapezoidal fuzzy number / vulnerability assessment / water resources utilization system

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PAN Zheng-wei, JIN Ju-liang, LIU Xiao-wei, ZHOU Rong-xing. Mechanism and Evaluation Method of Water Resources Utilization System ulnerability[J]. JOURNAL OF NATURAL RESOURCES, 2016, 31(9): 1599-1609 https://doi.org/10.11849/zrzyxb.20151218

References

[1] IPCC. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change [M]. Cambridge: Cambridge University Press, 2012.
[2] 郝璐, 王静爱. 基于SWAT-WEAP联合模型的西辽河支流水资源脆弱性研究 [J]. 自然资源学报, 2012, 27(3): 468-479. [HAO L, WANG J A. Evaluate to water resources vulnerability using SWAT-WEAP model in tributary of Xiliaohe River. Journal of Natural Resources, 2012, 27(3): 468-479. ]
[3] 夏军, 陈俊旭, 翁建武, 等. 气候变化背景下水资源脆弱性研究与展望 [J]. 气候变化研究进展, 2012, 8(6): 391-396. [XIA J, CHEN J X, WENG J W, et al. Advances and future prospects of research in water resources vulnerability under climate change. Progressus Inquisitiones de Mutatione Climatis, 2012, 8(6): 391-396. ]
[4] 刘绿柳. 水资源脆弱性及其定量评价 [J]. 水土保持通报, 2002, 22(2): 41-44. [LIU L L. Concept and quantitive assessment of vulnerability of water resource. Bulletin of Soil and Water Conservation, 2002, 22(2): 41-44. ]
[5] 潘争伟, 金菊良, 吴开亚, 等. 区域水环境系统脆弱性指标体系及综合决策模型研究 [J]. 长江流域资源与环境, 2014, 23(4): 518-525. [PAN Z W, JIN J L, WU K Y, et al. Research on the indexes and decision method of regional water environmental system vulnerability. Resources and Environment in the Yangtze Basin, 2014, 23(4): 518-525. ]
[6] YANG X H, HE J, DI C L, et al. Vulnerability of assessing water resources by the improved set pair analysis [J]. Thermal Science, 2104, 18(5): 1531-1535.
[7] 南彩艳, 粟晓玲. 基于改进SPA的关中地区水土资源承载力综合评价 [J]. 自然资源学报, 2012, 27(1): 104-114. [NAN C Y,SU X L. Comprehensive evaluation for soil-water resources carrying capacity in Guanzhong area based on improved set pair analysis. Journal of Natural Resources, 2012, 27(1): 104-114. ]
[8] 焦士兴, 王腊春, 李静, 等. 区域用水水平评价中的集对分析方法研究 [J]. 自然资源学报, 2009, 24(4): 729-736. [JIAO S X, WANG L C, LI J, et al. Study on the application of set pair analysis method in the evaluation of regional water utilization level. Journal of Natural Resources, 2009, 24(4): 729-736. ]
[9] RONALD E G, ROBERT E Y. Analysis of the error in the standard approximation used for multiplication of triangular and trapezoidal fuzzy numbers and the development of a new approximation [J]. Fuzzy Sets and Systems, 1997, 91(1): 1-13.
[10] 汪哲荪, 金菊良, 魏一鸣, 等. 三角模糊数随机模拟的防洪工程联系数风险评价模型 [J]. 水利学报, 2010, 41(10): 1173-1178. [WANG Z S, JIN J L, WEI Y M, et al. Connection number based risk evaluation method for watershed flood control engineering system using stochastic simulation and triangular fuzzy numbers. Journal of Hydraulic Engineering, 2010, 41(10): 1173-1178. ]
[11] 潘争伟, 吴开亚, 金菊良, 等. 湖泊水质富营养化评价的集对分析与三角模糊数耦合模型 [C]// 赵克勤, 米红. 非传统安全集对分析. 北京: 知识产权出版社, 2010: 89-97. [PAN Z W, WU K Y, JIN J L, et al. Coupling method of set pair analysis with triangular fuzzy numbers for the condition of the lakes on the rich nourishment //ZHAO K Q, MI H. Non-traditional Security and Set Pair Analysis. Beijing: Intellectual Property Right Press, 2010: 89-97. ]
[12] 吴开亚, 金菊良, 潘争伟. 基于三角模糊数截集的联系数模型在城市涝灾影响等级评价中的应用 [J]. 水利学报, 2010, 41(6): 711-719.[WU K Y, JIN J L, PAN Z W. Set pair analysis model based on triangle fuzzy intervals and its application to impact rating evaluation of urban flood. Journal of Hydraulic Engineering, 2010, 41(6): 711-719. ]
[13] 杨淇翔, 陈南祥. 基于集对分析与三角模糊数耦合的地下水环境质量评价 [J]. 中国农村水利水电, 2012(8): 38-42. [YANG Q X, CHEN N X. A coupling model of set pair analysis and triangular fuzzy numbers for evaluation of groundwater environmental quality. China Rural Water and Hydropower, 2012(8): 38-42. ]
[14] 彭涛, 陈晓宏, 王高旭, 等. 基于集对分析与三角模糊数的滨海湿地生态系统健康评价 [J]. 生态环境学报, 2014, 23(6): 917-922. [PENG T, CHEN X H, WANG G X, et al. Assessment of coastal wetland ecosystem health based on set pair analysis and triangular fuzzy numbers. Ecology and Environmental Sciences, 2014, 23(6): 917-922.
[15] 李如忠, 童芳, 周爱佳, 等. 基于梯形模糊数的地表灰尘重金属污染健康风险评价模型 [J]. 环境科学学报, 2011, 31(8): 1790-1798. [LI R Z, TONG F, ZHOU A J, et al. Fuzzy assessment model for the health risk of heavy metals in urban dusts based on trapezoidal fuzzy numbers. Acta Scientiae Circumstantiae, 2011, 31(8): 1790-1798. ]
[16] 陈南祥, 杨淇翔. 基于博弈论组合赋权的流域水资源承载力集对分析 [J]. 灌溉排水学报, 2013, 32(2): 81-85. [CHEN N X, YANG Q X. Set pair analysis of watershed water resources carrying capacity based on game theory combination weighting. Journal of Irrigation and Drainage, 2013, 32(2): 81-85. ]
[17] 赵克勤. 集对分析及其初步应用 [M]. 杭州: 浙江科学技术出版社, 2000: 9-43. [ZHAO K Q. Set Pair Analysis and its Preliminary Application. Hangzhou: Zhejiang Science and Technology Press, 2000: 9-43. ]
[18] 侯福均, 吴祈宗. 模糊偏好关系与决策 [M]. 北京: 北京理工大学出版社, 2009: 1-23. [HOU F J, WU Q Z. The Fuzzy Preference Relation and Decision. Beijing: Beijing Institute of Technology Press, 2009: 1-23. ]
[19] 赵克勤. SPA的同异反系统理论在人工智能研究中的应用 [J]. 智能系统学报, 2007, 2(5): 21-35. [ZHAO K Q. The application of SPA-based identical-discrepancy-contrary system theory in artificial intelligence research. CAAI Transactions on Intelligent Systems, 2007, 2(5): 21-35. ]
[20] 金菊良, 魏一鸣. 复杂系统广义智能评价方法与应用 [M]. 北京: 科学出版社, 2008: 26-29. [JIN J L, WEI Y M. Generalized Intelligent Assessment Methods for Complex Systems and Applications. Beijing: Science Press, 2008: 26-29. ]
[21] 安徽省水利厅. 2014年安徽省水资源公报 [EB/OL]. (2015-08-21) [2015-11-03].

Funding

National Natural Science Foundation of China, No. 51309004, 71273081 and 51579059; Key Project of Natural Science Research Grant of the Education Department of Anhui Province, No. KJ2016A302. ]
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