To provide basis for the sustainable utilization of water resources in Tianmen city, we employ entropy method and principal component analysis to evaluate the carrying capacity of water resources in Tianmen during 2010-2014. A simplified system of indicators selected by using principal component analysis can be more fully representative of Tianmen’s water resources carrying capacity. Results show that the carrying capacity of water resources in Tianmen is mainly affected by surface water resources quantity, water consumption and living standards. Despite the fact that the carrying capacity is improving continuously, an effective way of dealing with water shortage in dry season is in lack with drought as the major natural disaster in Tianmen. On this basis, we further evaluate the adaptability of carrying capacity, and conclude that the carrying capacity of water resources in Tianmen is slightly unsuitable or in equilibrium state.
Key words
Tianmen City /
water resources carrying capacity /
principal component analysis /
entropy method /
adaptability
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References
[1] 赵国华,翟国静,李晓粤,等. 水资源承载力的内涵与理论探析[J]. 水土保持研究, 2007, 14(6): 347-349,353.
[2] 姚治君,王建华,江 东,等. 区域水资源承载力的研究进展及其理论探析[J]. 水科学进展, 2002, 13(1): 111-115.
[3] MCKINDSEY C W, THETMEYER H, LANDRY T, et al. Review of Recent Carrying Capacity Models for Bivalve Culture and Recommendations for Research and Management[J]. Aquaculture, 2006, 261(2): 451-462.
[4] CHEN H, CHANG N. Using Fuzzy Operators to Address the Complexity in Decision Making of Water Resources Redistribution in Two Neighboring River Basins[J]. Advances in Water Resources, 2010, 33(6): 652-666.
[5] 陈 凯,李就好,李永刚,等. 汕头市水资源承载力评价研究[J]. 长江科学院院报, 2012, 29(7): 21-26.
[6] 高 超,梅亚东,吕孙云,等. 基于AHP-Fuzzy法的汉江流域水资源承载力评价与预测[J]. 长江科学院院报, 2014, 31(9): 21-28.
[7] 何晓群. 现代统计分析方法与应用[M]. 北京: 中国人民大学出版社, 2003.
[8] 程 天,张彩香. 基于熵权的模糊AHP 法在填埋场选址中的应用[J]. 环境卫生工程,2003, 12(2): 64-67.
[9] 邱宛华. 管理决策与应用熵学[M]. 北京: 机械工业出版社, 2002: 193-196.
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