Assessment of Groundwater Quality in Hamatong Drainage Basin byUsing Model of Set Pair Analysis Based on Entropy Weight Method

GANG Shen-ting, JIA Tao, DENG Ying-er, LIU Wei-po, PENG Xin

Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (9) : 23-27.

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Journal of Changjiang River Scientific Research Institute ›› 2018, Vol. 35 ›› Issue (9) : 23-27. DOI: 10.11988/ckyyb.20170156
WATER RESOURCES AND ENVIRONMENT

Assessment of Groundwater Quality in Hamatong Drainage Basin byUsing Model of Set Pair Analysis Based on Entropy Weight Method

  • GANG Shen-ting1, JIA Tao1, DENG Ying-er2, LIU Wei-po3, PENG Xin2
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Abstract

The evaluation of groundwater quality serves as a scientific basis for the exploitation and protection of groundwater resources. The indicators of traditional water quality assessment models are random, fuzzy and uncertain. In view of this, a set pair analysis model based on entropy method is established and applied to the groundwater quality assessment for Hamatong drainage basin. According to data of 86 monitoring points, six indicators, including NH4+, NO2-, Fe2+,Mn2+, Zn2+, and CODMn are selected and given weight by using entropy weight method. The assessment result is compared with that of modified Nemerow index method. The results implies that the groundwater quality of Hamatong drainage basin is below average, with Ⅳ and Ⅴ levels accounting for a large water area, while Ⅱ and Ⅲ levels occupying a small area. The assessment result is consistent with that of the modified Nemerow index method, both comforting well with reality. The set pair analysis model based on entropy weight is proved rational and reliable.

Key words

groundwater quality assessment / entropy weight / set pair analysis / comparative analysis / Hamatong drainage basin / water resources exploitation

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GANG Shen-ting, JIA Tao, DENG Ying-er, LIU Wei-po, PENG Xin. Assessment of Groundwater Quality in Hamatong Drainage Basin byUsing Model of Set Pair Analysis Based on Entropy Weight Method[J]. Journal of Changjiang River Scientific Research Institute. 2018, 35(9): 23-27 https://doi.org/10.11988/ckyyb.20170156

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