Method of Evaluating the Water-richness of Aquifer Based on Unascertained Measurement Theory

HUANG Lei, GOU Qing-song, HAN Xuan, HOU Ze-ming, DENG Xing-bo

Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (7) : 23-28.

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Journal of Changjiang River Scientific Research Institute ›› 2022, Vol. 39 ›› Issue (7) : 23-28. DOI: 10.11988/ckyyb.20211040
WATER RESOURCES

Method of Evaluating the Water-richness of Aquifer Based on Unascertained Measurement Theory

  • HUANG Lei1,2, GOU Qing-song3,4, HAN Xuan1,2, HOU Ze-ming1,2, DENG Xing-bo3
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Abstract

Zoning of the water-richness of aquifer is an important prerequisite for the rational development of groundwater resources.To address the over-reliance on hydrogeological drilling data and the uncertainty of influencing factors in traditional water-richness evaluation,an indicator system and its corresponding grading standard were established via analyses on the influence factors of water-richness in association with magnetotelluric sounding results.The typical mining area of desert steppe in Inner Mongolia was taken as the research area.Based on the advantages of unascertained measurement theory,the index weights were determined by combining fuzzy analytic hierarchy process (FAHP) and entropy weight (EW).A comprehensive evaluation model of aquifer's water-richness was built.The evaluation results were further visualized with the help of GIS spatial information fusion function.Finally,the accuracy of the evaluation results was verified by surface nuclear magnetic resonance (SNMR).The results demonstrated the rationality,effectiveness and practicality of the present evaluation method,which offers a reference for evaluating the water-richness of aquifer in desert steppe.

Key words

aquifer / water-richness evaluation / uncertainty measurement / FAHP / EW / EH4 / SNMR

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HUANG Lei, GOU Qing-song, HAN Xuan, HOU Ze-ming, DENG Xing-bo. Method of Evaluating the Water-richness of Aquifer Based on Unascertained Measurement Theory[J]. Journal of Changjiang River Scientific Research Institute. 2022, 39(7): 23-28 https://doi.org/10.11988/ckyyb.20211040

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