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[1]LÜ,Ping,LIU Dong,et al.Fuzzy Matter-Element Assessment Model for Water Resources Carrying Capacity in Jiansanjiang Branch Bureau Based on Entropy-Weight[J].Research of Soil and Water Conservation,2011,18(02):246-250.

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Fuzzy Matter-Element Assessment Model for Water Resources Carrying Capacity in Jiansanjiang Branch Bureau Based on Entropy-Weight

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 02 Page number: 246-250 Column: Public date: 2011-04-20

Title:: Fuzzy Matter-Element Assessment Model for Water Resources Carrying Capacity in Jiansanjiang Branch Bureau Based on Entropy-Weight

Author(s):: LÜ Ping¹, LIU Dong^1,2, ZHAO Fei-fei¹; 1. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China;
2. Postdoctoral Scientific Research Mobile Station of Agriculture and Forestry Economic Management, Northeast Agricultural University, Harbin 150030, China

Keywords:: Jiansanjiang branch bureau; water resources carrying capacity; entropy-weight; fuzzy matter-element

CLC:: S11⁺7;F323.213

DOI:: -

Abstract:: Evaluation of water resources carrying capacity is a basic measure of regional water security. According to the water security issues existing in developing and utilizing water resources, such as the descending of groundwater level and ‘hanging pump’, the criteria system for water resources carrying capacity evaluation was established by grey correlation analysis. Entropy-based fuzzy matter-element assessment model was established based on the conventional fuzzy matter-element model, and introduced the entropy theory into the calculation of weight. This method was applied to evaluate the water resources carrying capacity of fifteen farms belonging to Jiansanjiang branch bureau in 2008. The results showed that the water resources carrying capacities of Farm 859, Qindeli, Qianshao, Qianfeng, Honghe, Yalvhe, Erdaohe and Nongjiang are in grade Ⅰ, their water resources still have upper carrying capacities; the water resources carrying capacities of Farm Shengli, Daxing, Qinglongshan and Qianjin are in grade Ⅱ, their water resources exploitation and utilization still have some potential; the water resources carrying capacities of Farm Qixing, Chuangye and Hongwei are in grade Ⅲ, their groundwater resources carrying capacities have been close to saturation. The results play an important role in providing scientific evidences for water resources protection and sustainable utilization in Jiansanjiang branch bureau.

References:: [1] 王敦红, 代淑英.建三江地区发展节水农业必要性分析[J].中国新技术新产品, 2009 (13):211.
[2] 李红艳, 安瑞强, 魏永霞.运用GM (1, 1) 模型预测建三江垦区地下水动态[J].农机化研究, 2007 (3):42-44.
[3] 傅湘, 纪昌明.区域水资源承载能力综合评价[J].长江流域资源与环境, 1999, 8 (2):168-172.
[4] Li Huafeng, Xing Caizhang, Gao Yuanluo. Application of system dynamics in analyzing the carrying capacity of water resources in Yiwu City, China[J]. Mathematics and Computers in Simulation, 2008, 79 (3):269-278.
[5] 赵国华, 翟国静, 何平, 等.廊坊市区域现状水资源承载力分析[J].水土保持研究, 2009, 16 (1):246-249.
[6] Qureshi M E, Harrison S R, Wegener M K. Validation of multicriteria analysis models[J]. Agricultural Systems, 1999, 62 (2):105-106.
[7] 郦建强, 陆桂华, 杨晓华, 等.区域水资源承载能力综合评价的GPPIM[J].河海大学学报:自然科学版, 2004, 32 (1):1-4.
[8] 闵庆文, 余卫东, 张建新.区域水资源承载力的模糊综合评价分析方法及应用[J].水土保持研究, 2004, 11 (3):14-16, 129.
[9] 蔡文.物元模型及应用[M].北京:科学技术文献出版社, 1994.
[10] 付强.数据处理方法及其农业应用[M].北京:科学出版社, 2006:339-341.
[11] 邱菀华.管理决策与应用熵学[M].北京:机械工业出版社, 2001.
[12] 韩丽伟, 付强, 刘东, 等.三江平原地下水承载能力综合评价模型的构建及其应用[J].水土保持研究, 2010, 17 (2):182-185.
[13] 肖芳淳.模糊物元贴近度聚类分析的研究[J].新疆石油地质, 1999, 19 (4):281-283.
[14] 杜发兴, 曹广晶, 梁川.水资源承载力综合评价的熵权属性识别模型[J].哈尔滨工业大学学报, 2009, 41 (11):243-245, 249.
[15] 刘东, 付强, 孟军.集对分析法在三江平原井灌区地下水资源承载力评价中的应用[J].中国农村水利水电, 2009 (2):1-4.
[16] 周维博.河西走廊灌溉农业发展的水资源承载能力分析[J].自然资源学报, 2002, 17 (5):564-570.
[17] 范玉枝.章丘市水资源承载力研究[D].济南:山东师范大学, 2005.
[18] 李吉玫, 徐海量, 宋郁东, 等.伊犁河流域水资源承载力的综合评价[J].干旱区资源与环境, 2007, 21 (3):39-43.

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