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

WU Fan, CHEN Fu-long, DING Wen-xue, HE Chao-fei, LONG Ai-hua

Journal of Changjiang River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (9) : 27-34.

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Journal of Changjiang River Scientific Research Institute ›› 2021, Vol. 38 ›› Issue (9) : 27-34. DOI: 10.11988/ckyyb.20200635
WATER RESOURCES

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
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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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WU Fan, CHEN Fu-long, DING Wen-xue, HE Chao-fei, LONG Ai-hua. Assessing Water Resources Carrying Capacity of Xinjiang Using Fuzzy Set Pair Analysis and Five-variable Subtraction Set Pair Potential[J]. Journal of Changjiang River Scientific Research Institute. 2021, 38(9): 27-34 https://doi.org/10.11988/ckyyb.20200635

References

[1] 任杰宇, 邴建平, 张 翔.天门市水资源承载力评价与适应性分析[J].raybet体育在线 院报,2018,35(5):27-31.
[2] 雍志勤, 张 鑫.基于投影寻踪模型的榆林市水资源承载能力研究[J].灌溉排水学报,2019,38(1):101-107.
[3] 陈海涛, 徐嘉豪.基于熵权模糊综合评价模型的河南省水资源承载力评价[J].人民珠江,2020,41(1):48-53,116.
[4] 冯湘华, 宋孝玉, 晁智龙.淳化县水资源承载力预测评价[J].西安理工大学学报,2018,34(4):447-453.
[5] 杨 广, 何新林, 李俊峰, 等.基于物元模型的干旱区水资源承载力评价研究[J].人民长江,2009,40(21):52-54,98.
[6] WANG Wen-sheng, JIN Ju-liang, DING Jing, et al. A New Approach to Water Resources System Assessment—Set Pair Analysis Method[J]. Science in China (Series E:Technological Sciences), 2009, 52(10): 3017-3023.
[7] 刘 童, 杨晓华, 赵克勤, 等.基于集对分析的水资源承载力动态评价:以四川省为例[J].人民长江,2019,50(9):94-100.
[8] 李 辉, 金菊良, 吴成国, 等.基于联系数的安徽省水资源承载力动态诊断评价研究[J].南水北调与水利科技,2018,16(1):42-49.
[9] 胡启玲, 董增川, 杨雁飞, 等.基于联系数的水资源承载力状态评价模型[J].河海大学学报(自然科学版),2019,47(5):425-432.
[10] 唐数红.对新疆水问题的基本认识[J].干旱区研究,2010,27(5):657-662.
[11] 李豫新, 武庆彬.可持续发展视角下基于SD模型的干旱地区水资源承载力研究:以新疆地区为例[J].生态经济,2018,34(4):175-179,227.
[12] 吴雪梅, 塔西甫拉提·特依拜, 买买提·沙吾提, 等.基于PSO-PPE模型的和田水资源承载力评价研究[J].干旱地区农业研究,2014,32(2):228-233,256.
[13] 李 瑞, 张 飞, 周 梅, 等.博尔塔拉蒙古自治州水资源承载力评价[J].中国农村水利水电,2015(4):65-69.
[14] 段新光, 栾芳芳.基于模糊综合评判的新疆水资源承载力评价[J].中国人口·资源与环境,2014,24(增刊1):119-122.
[15] FARAN A, KEMAL K. Fuzzy Analytic Hierarchy Process: A Performance Analysis of Various Algorithms[J]. Fuzzy Sets and Systems,2019, 362(3):110-128.
[16] 苏敏杰, 白栩嘉.基于最大熵投影寻踪模型的云南省近10 a水资源承载力评价[J].raybet体育在线 院报,2018,35(6):12-18.
[17] 金菊良, 沈时兴, 郦建强, 等.基于联系数的区域水资源承载力评价与诊断分析方法[J].华北水利水电大学学报(自然科学版),2018,39(1):1-9.
[18] 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.
[19] 金菊良, 张浩宇, 陈梦璐, 等.基于灰色关联度和联系数耦合的农业旱灾脆弱性评价和诊断研究[J].灾害学,2019,34(1):1-7.
[20] 金菊良, 陈鹏飞, 张浩宇, 等.五元减法集对势及其在水资源承载力趋势分析中的应用[J].华北水利水电大学学报(自然科学版),2020,41(2):30-35,42.
[21] 李家田, 苏怀智.基于联系数的水闸安全综合评价物元模型与实现方法[J].raybet体育在线 院报,2018,35(10):88-91,97.
[22] YAN Min-hui, YAO Xiu-ping, WANG Lei, et al. An Analysis of the Applicability of Fuzzy Clustering in Establishing an Index for the Evaluation of Meteorological Service Satisfactions[J]. Journal of Tropical Meteorology, 2020, 26(1): 103-110.
[23] 刚什婷, 贾 涛, 邓英尔,等.基于熵权法的集对分析模型在蛤蟆通流域地下水水质评价中的应用[J].raybet体育在线 院报,2018,35(9):23-27.
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