Quantitative estimation of groundwater recharge is crucial for limited water resources management. A combination of isotopic and chemical indicators has been used to evaluate the relationship between surface water, groundwater, and rainfall around the riparian of the Yellow River in the North China Plain (NCP). The ion molar ratio of sodium to chloride in surface- and groundwater is 0.6 and 0.9, respectively, indicating cation exchange of Ca2+ and/or Mg2+ for Na+ in groundwater. The δD and δ18O values in rainfall varied from −64.4 to −33.4‰ and from −8.39 to −4.49‰. The groundwater samples have δD values in the range of −68.7 to −58.0‰ and δ18O from −9.29 to −6.85‰. The δ18O and δD in surface water varied from −8.51 to −7.23‰ and from −64.42 to −53.73‰. The average values of both δD and δ18O from surface water are 3.92‰ and 0.57‰, respectively, higher compared to groundwater. Isotopic composition indicated that the groundwater in the riparian area of the Yellow River was influenced by heavy rainfall events and seepage of surface water. The mass balance was applied for the first time to estimate the amount of recharge, which is probably 6% and 94% of the rainfall and surface water, respectively.
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Research Article|
October 22 2013
Quantitative estimation of groundwater recharge ratio along the riparian of the Yellow River
Zhang Yan;
Zhang Yan
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China and University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
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Li Fadong;
2Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China
E-mail: [email protected]
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Li Jing;
Li Jing
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China and University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
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Liu Qiang;
Liu Qiang
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China and University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
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Zhao Guangshuai
Zhao Guangshuai
1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A, Datun Road, Chaoyang District, Beijing 100101, China and University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
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Water Sci Technol (2013) 68 (11): 2427–2433.
Article history
Received:
January 30 2013
Accepted:
July 31 2013
Citation
Zhang Yan, Li Fadong, Li Jing, Liu Qiang, Zhao Guangshuai; Quantitative estimation of groundwater recharge ratio along the riparian of the Yellow River. Water Sci Technol 1 December 2013; 68 (11): 2427–2433. doi: https://doi.org/10.2166/wst.2013.490
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