IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13489-d946225.html
   My bibliography  Save this article

Enrichment of High Arsenic Groundwater Controlled by Hydrogeochemical and Physical Processes in the Hetao Basin, China

Author

Listed:
  • Wengeng Cao

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
    Key Laboratory of Groundwater Sciences and Engineering, Ministry of Natural Resources, Shijiazhuang 050061, China
    Hebei Cangzhou Groundwater and Land Subsidence National Observation and Research Station, Shijiazhuang 050061, China
    These authors contributed equally to this work.)

  • Yu Ren

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
    Key Laboratory of Groundwater Sciences and Engineering, Ministry of Natural Resources, Shijiazhuang 050061, China
    Hebei Cangzhou Groundwater and Land Subsidence National Observation and Research Station, Shijiazhuang 050061, China
    These authors contributed equally to this work.)

  • Qiuyao Dong

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China)

  • Zeyan Li

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
    Key Laboratory of Groundwater Sciences and Engineering, Ministry of Natural Resources, Shijiazhuang 050061, China
    Hebei Cangzhou Groundwater and Land Subsidence National Observation and Research Station, Shijiazhuang 050061, China)

  • Shunyu Xiao

    (College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450011, China)

Abstract

Based on 447 samples collected from a shallow aquifer (depths from 0 to 150 m) in the Hetao Basin, Northern China, an integrated hydrogeochemical approach was used in this study to conceptualize the enrichment of high arsenic groundwater in the Hetao Basin. An unconventional method of distinguishing hydrogeochemical and physical processes from a dataset was tested by investigating the cumulative frequency distribution of ionic ratios expressed on a probability scale. By applying cumulative frequency distribution curves to characterize the distribution of ionic ratios throughout the Hetao Basin, hydrogeochemical indicators were obtained that distinguish the series of hydrogeochemical processes that govern groundwater composition. All hydrogeochemical processes can basically be classified as recharge intensity of groundwater, evaporation concentration intensity, and reductive degree controlling the spatial distribution of arsenic. By considering the three processes, we found that the concentration of arsenic was more than 10 μg/L when the (HCO 3 − +CO 3 2− )/SO 4 2− ratio was over 4.1 (strong reductive area). As the evaporation concentration intensity increased, the median value of arsenic increased from 10.74 to 382.7 μg/L in the median reductive area and rapidly increased from 89.11 to 461.45 μg/L in the strong reductive area. As the river recharge intensity increased (with the intensity index increasing from 0 to 5), the median value of arsenic dropped from 40.2 to 6.8 μg/L in the median reductive area and decreased more markedly from 219.85 to 23.73 μg/L in the strong reductive area. The results provide a new insight into the mechanism of As enrichment in groundwater.

Suggested Citation

  • Wengeng Cao & Yu Ren & Qiuyao Dong & Zeyan Li & Shunyu Xiao, 2022. "Enrichment of High Arsenic Groundwater Controlled by Hydrogeochemical and Physical Processes in the Hetao Basin, China," IJERPH, MDPI, vol. 19(20), pages 1-14, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13489-:d:946225
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13489/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/20/13489/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xu, Xu & Huang, Guanhua & Qu, Zhongyi & Pereira, Luis S., 2010. "Assessing the groundwater dynamics and impacts of water saving in the Hetao Irrigation District, Yellow River basin," Agricultural Water Management, Elsevier, vol. 98(2), pages 301-313, December.
    2. Ross Nickson & John McArthur & William Burgess & Kazi Matin Ahmed & Peter Ravenscroft & Mizanur Rahmanñ, 1998. "Arsenic poisoning of Bangladesh groundwater," Nature, Nature, vol. 395(6700), pages 338-338, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Wu, Zhangsheng & Li, Yue & Wang, Rong & Xu, Xu & Ren, Dongyang & Huang, Quanzhong & Xiong, Yunwu & Huang, Guanhua, 2023. "Evaluation of irrigation water saving and salinity control practices of maize and sunflower in the upper Yellow River basin with an agro-hydrological model based method," Agricultural Water Management, Elsevier, vol. 278(C).
    3. Peter Atkins & Manzurul Hassan & Christine Dunn, 2007. "Environmental Irony: Summoning Death in Bangladesh," Environment and Planning A, , vol. 39(11), pages 2699-2714, November.
    4. Tiffany VanDerwerker & Lin Zhang & Erin Ling & Brian Benham & Madeline Schreiber, 2018. "Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA)," IJERPH, MDPI, vol. 15(4), pages 1-17, April.
    5. Huang, Ya & Zhang, Zhe & Li, Zhenhua & Dai, Danqiong & Li, Yanping, 2022. "Evaluation of water use efficiency and optimal irrigation quantity of spring maize in Hetao Irrigation District using the Noah-MP Land Surface Model," Agricultural Water Management, Elsevier, vol. 264(C).
    6. Du, Ruiqi & Chen, Junying & Zhang, Zhitao & Chen, Yinwen & He, Yujie & Yin, Haoyuan, 2022. "Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model," Agricultural Water Management, Elsevier, vol. 265(C).
    7. Liu, Meihan & Paredes, Paula & Shi, Haibin & Ramos, Tiago B. & Dou, Xu & Dai, Liping & Pereira, Luis S., 2022. "Impacts of a shallow saline water table on maize evapotranspiration and groundwater contribution using static water table lysimeters and the dual Kc water balance model SIMDualKc," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Xue, Jingyuan & Guan, Huade & Huo, Zailin & Wang, Fengxin & Huang, Guanhua & Boll, Jan, 2017. "Water saving practices enhance regional efficiency of water consumption and water productivity in an arid agricultural area with shallow groundwater," Agricultural Water Management, Elsevier, vol. 194(C), pages 78-89.
    9. Guanfang Sun & Yan Zhu & Zhaoliang Gao & Jinzhong Yang & Zhongyi Qu & Wei Mao & Jingwei Wu, 2022. "Spatiotemporal Patterns and Key Driving Factors of Soil Salinity in Dry and Wet Years in an Arid Agricultural Area with Shallow Groundwater Table," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    10. Wen, Yeqiang & Shang, Songhao & Rahman, Khalil Ur & Xia, Yuhong & Ren, Dongyang, 2020. "A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region," Agricultural Water Management, Elsevier, vol. 230(C).
    11. Laura A. Richards & Arun Kumar & Prabhat Shankar & Aman Gaurav & Ashok Ghosh & David A. Polya, 2020. "Distribution and Geochemical Controls of Arsenic and Uranium in Groundwater-Derived Drinking Water in Bihar, India," IJERPH, MDPI, vol. 17(7), pages 1-26, April.
    12. Zhao, Tianxing & Zhu, Yan & Ye, Ming & Yang, Jinzhong & Jia, Biao & Mao, Wei & Wu, Jingwei, 2022. "A new approach for estimating spatial-temporal phreatic evapotranspiration at a regional scale using NDVI and water table depth measurements," Agricultural Water Management, Elsevier, vol. 264(C).
    13. Feng, Zhuangzhuang & Miao, Qingfeng & Shi, Haibin & Feng, Weiying & Li, Xianyue & Yan, Jianwen & Liu, Meihan & Sun, Wei & Dai, Liping & Liu, Jing, 2023. "Simulation of water balance and irrigation strategy of typical sand-layered farmland in the Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 280(C).
    14. Xu, Hang & Song, Jianfeng, 2022. "Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    15. Liu, Haijun & Wang, Xuming & Zhang, Xian & Zhang, Liwei & Li, Yan & Huang, Guanhua, 2017. "Evaluation on the responses of maize (Zea mays L.) growth, yield and water use efficiency to drip irrigation water under mulch condition in the Hetao irrigation District of China," Agricultural Water Management, Elsevier, vol. 179(C), pages 144-157.
    16. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    17. Lina Mi & Juncang Tian & Jianning Si & Yuchun Chen & Yinghai Li & Xinhe Wang, 2020. "Evolution of Groundwater in Yinchuan Oasis at the Upper Reaches of the Yellow River after Water-Saving Transformation and Its Driving Factors," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    18. Liu, Xiuxia & Ma, Shimeng & Fang, Yu & Wang, Sufen & Guo, Ping, 2023. "A novel approach to identify crop irrigation priority," Agricultural Water Management, Elsevier, vol. 275(C).
    19. Liu, Zhongyi & Chen, Hang & Huo, Zailin & Wang, Fengxin & Shock, Clinton C., 2016. "Analysis of the contribution of groundwater to evapotranspiration in an arid irrigation district with shallow water table," Agricultural Water Management, Elsevier, vol. 171(C), pages 131-141.
    20. Con, T. H. & Hanh, N. T. & Berg, M. & Viet, P. H., 2003. "Release of arsenic from minerals to the water phase," Conference Papers h033501, International Water Management Institute.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13489-:d:946225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.