长江科学院院报 ›› 2021, Vol. 38 ›› Issue (9): 27-34.DOI: 10.11988/ckyyb.20200635

• 水资源 • 上一篇    下一篇

基于模糊集对分析-五元减法集对势的新疆水资源承载力评价

吴凡1, 陈伏龙1, 丁文学2, 何朝飞1, 龙爱华1,3   

  1. 1.石河子大学 水利建筑工程学院,新疆 石河子 832000;
    2.新疆石河子水文勘测局,新疆 石河子 832000;
    3.中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室,北京 100038
  • 收稿日期:2020-06-30 修回日期:2020-09-26 出版日期:2021-09-01 发布日期:2021-09-06
  • 通讯作者: 陈伏龙(1978-),男,湖南东安人,教授,博士,从事水文学及水资源问题研究。E-mail: cfl103@shzu.edu.cn
  • 作者简介:吴 凡(1996-),男,福建邵武人,硕士研究生,从事水文学及水资源问题研究。E-mail:1404067748@qq.com
  • 基金资助:
    国家自然科学基金项目(51769029,51769030);国家重点研发计划项目(2017YFC0404301);石河子大学高层次人才科研启动资金项目(RCZK2018C23);新疆维吾尔自治区研究生科研创新项目(XJ2019G113)

Assessing Water Resources Carrying Capacity of Xinjiang Using Fuzzy Set Pair Analysis and Five-variable Subtraction Set Pair Potential

WU Fan1, CHEN Fu-long1, DING Wen-xue2, HE Chao-fei1, LONG Ai-hua1,3   

  1. 1. College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832000, China;
    2. Shihezi Hydrology Bureau, Shihezi 832000, China;
    3. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
  • Received:2020-06-30 Revised:2020-09-26 Published:2021-09-01 Online:2021-09-06

摘要: 为定量评价新疆各地州水资源承载力状况、识别需要进行水资源承载力调控的地区,建立了新疆水资源承载力指标体系与评价等级标准,构建了模糊集对评价模型,结合五元减法集对势对新疆15个地州水资源承载力进行评价并诊断其发展态势。结果表明:新疆水资源承载力呈现出北疆较好、南疆其次、东疆稍弱的情况,评级为Ⅰ级的地区占13.4%,Ⅱ级占20%,Ⅲ级占20%,Ⅳ级占33.3%,Ⅴ级占13.3%,其中伊犁州水资源承载力最强,和田地区承载状况最差;吐鲁番地区的五元减法集对势值为-0.233 02、哈密地区为-0.303 1、阿克苏地区为-0.240 5、和田地区为-0.215 4,属于偏反势发展,需进行承载力调控;模糊集对分析评价结果与模糊聚类、物元分析法评价结果大体一致,具有可靠性。研究结果可为新疆水资源合理配置与调控提供可靠的科学依据。

关键词: 水资源承载力, 模糊集对分析法, 五元减法集对势, 趋势诊断, 新疆

Abstract: In the purpose of assessing quantitatively the water resources carrying capacity in Xinjiang and identifying areas where water resources carrying capacity needs to be regulated, we constructed the index system and rating standard for water resources carrying capacity in Xinjiang and built a fuzzy set pair evaluation model. In association with the five-variable subtraction set pair potential, we assessed the water resources carrying capacity of fifteen prefectures in Xinjiang and diagnosed their trends. Results unveiled that the water resources carrying capacity of north Xinjiang is better than that in south Xinjiang and east Xinjiang in sequence. Areas at level Ⅰ accounted for 13.4% of Xinjiang, level Ⅱ 20%, level Ⅲ 20%, level Ⅳ 33.3%, and level Ⅴ 13.3%. The water resources carrying capacity of Ili Prefecture is the largest, and that of Hetian District the smallest. The value of five-variable subtraction set pair potential of Turpan region is -0.233 02, and Hami region -0.303 1, Aksu region -0.240 5, and Hetian -0.215 4, which belongs to the partial reverse potential, implying that the bearing capacity needs to be regulated. The results of fuzzy set pair analysis are generally consistent with those of fuzzy clustering and matter-element analysis. The research findings offer reliable scientific basis for the rational allocation and regulation of water resources in Xinjiang.

Key words: water resources carrying capacity, fuzzy set pair analysis, five-variable subtraction set pair potential, trend diagnosis, Xinjiang

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