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Temporal and Spatial Evolution of Groundwater Natural Background Levels in a Rapid Urbanization Area, Northeast of Beijing, China

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Abstract

Understanding the groundwater natural background levels (NBLs) is important in distinguishing groundwater contamination and guiding the groundwater management. Groundwater environment in suburb areas around the large city may suffer from strong impact of human activity during rapid urbanization which will have significant effect on the groundwater natural background levels. Although many previous studies have proposed different methods to understand the spatial distribution of NBLs, its temporal evolution and the relationship with groundwater quality is not well understood. In this study, we investigated the long-term evolution of NBLs and groundwater hydrochemical anomalies in the 59 wells of the Pinggu basin by combining the comprehensive groundwater hydrochemical anomalies identification and groundwater quality assessment. NO3, Cl, and SO42− were found to be as the major chemical constitutions demonstrating the strong anomaly degree, which decreased over time. The zoning and evolution of groundwater quality also aligned with the variation of anomaly areas. Regions with a higher degree of abnormality were consistent with those with poorer groundwater quality. The impact of human activities on the groundwater environment decreased in the Pinggu basin compared to the initial years due to the efforts of environment protection and governance by the local government. Investigating the temporal and spatial variation, hydrochemical properties by combination of NBLs and groundwater quality assessment provided a useful approach to understand groundwater environment in rapidly urbanizing areas.

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Data Availability

Data used in this manuscript could be obtained by reasonable request to the corresponding author.

References:

  • Afrifa G et al (2022) Quantifying nitrate pollution sources and natural background in an equatorial context: A case of the Densu Basin, Ghana. Hydrol Sci J. https://doi.org/10.1080/02626667.2022.2114357

    Article  Google Scholar 

  • Bhutiani R, Kulkarni DB, Khanna DR, Gautam A (2016) Water quality, pollution source apportionment and health risk assessment of heavy metals in groundwater of an industrial area in North India. Expo Health 8(1):3–18

    Article  CAS  Google Scholar 

  • Bi P, Huang G, Liu C, Li L (2022) Geochemical factors controlling natural background levels of phosphate in various groundwater units in a large-scale urbanized area. J Hydrol 608:127594

    Article  CAS  Google Scholar 

  • Bondu R et al (2021) Estimating natural background concentrations for dissolved constituents in groundwater: a methodological review and case studies for geogenic fluoride. J Geochem Explor 233:106906

    Article  Google Scholar 

  • Cangemi M et al (2019) Heavy metal concentrations in the groundwater of the Barcellona-Milazzo Plain (Italy): contributions from geogenic and anthropogenic sources. Int J Environ Res Public Health 16(2):285

    Article  CAS  Google Scholar 

  • Cinti D et al (2019) Anomalous concentrations of arsenic, fluoride and radon in volcanic-sedimentary aquifers from central Italy: quality indexes for management of the water resource. Environ Pollut 253:525–537

    Article  CAS  Google Scholar 

  • Dalla Libera N, Fabbri P, Mason L, Piccinini L, Pola M (2017) Geostatistics as a tool to improve the natural background level definition: an application in groundwater. Sci Total Environ 598:330–340

    Article  CAS  Google Scholar 

  • Gao Y, Qian H, Huo C, Chen J, Wang H (2020) Assessing natural background levels in shallow groundwater in a large semiarid Drainage Basin. J Hydrol 584:124638. https://doi.org/10.1016/j.jhydrol.2020.124638

    Article  CAS  Google Scholar 

  • Griffioen J, Passier HF, Klein J (2008) Comparison of selection methods to deduce natural background levels for groundwater units. Environ Sci Technol 42(13):4863–4869

    Article  CAS  Google Scholar 

  • He S, Li P, Wu J, Elumalai V, Adimalla N (2020) Groundwater quality under land use/land cover changes: a temporal study from 2005 to 2015 in Xi’an, northwest China. Hum Ecol Risk Assess Int J 26(10):2771–2797

    Article  CAS  Google Scholar 

  • He B et al (2022a) Comprehensive evaluation of regional groundwater pollution: research status and suggestions. Earth Sci Front 29(3):51–63. https://doi.org/10.13745/j.esf.sf.2022.1.29

    Article  Google Scholar 

  • He B et al (2022b) Coupling of multi-hydrochemical and statistical methods for identifying apparent background levels of major components and anthropogenic anomalous activities in shallow groundwater of the Liujiang Basin, China. Sci Total Environ 838:155905

    Article  CAS  Google Scholar 

  • Jeong CH (2001) Effect of land use and urbanization on hydrochemistry and contamination of groundwater from Taejon area, Korea. J Hydrol 253(1–4):194–210

    Article  CAS  Google Scholar 

  • Kim K-H, Yun S-T, Kim H-K, Kim J-W (2015) Determination of natural backgrounds and thresholds of nitrate in South Korean groundwater using model-based statistical approaches. J Geochem Explor 148:196–205

    Article  CAS  Google Scholar 

  • Kumar P et al (2016) Hydrogeochemical evolution and appraisal of groundwater quality in Panna District Central India. Expos Health 8(1):19–30

    Article  Google Scholar 

  • Li P, Qian H, Wu J (2010) Groundwater quality assessment based on improved water quality index in Pengyang County, Ningxia, Northwest China. E-J Chem 7(S1):S209–S216

    Article  CAS  Google Scholar 

  • Li P, Zhang C, Zhong H, Zhao T (2018) The nitrate nitrogen in groundwater of intensive agricultural region in Pinggu district by sampling and monitoring for 12 years. IOP Conf Ser 452:022164

    Article  Google Scholar 

  • Li J, Shi Z, Wang G, Liu F (2020) Evaluating spatiotemporal variations of groundwater quality in northeast Beijing by self-organizing map. Water 12(5):1382

    Article  Google Scholar 

  • Li J et al (2021a) Identifying anthropogenic sources of groundwater contamination by natural background levels and stable isotope application in Pinggu basin, China. J Hydrol 596:126092

    Article  CAS  Google Scholar 

  • Li X, Huang X, Zhang Y-H (2021b) Spatio-temporal analysis of groundwater chemistry, quality and potential human health risks in the Pinggu basin of North China Plain: evidence from high-resolution monitoring dataset of 2015–2017. Sci Total Environ 800:149568. https://doi.org/10.1016/j.scitotenv.2021.149568

    Article  CAS  Google Scholar 

  • Li C et al (2022) Spatial and temporal evolution of groundwater chemistry of Baotu karst water system at northern China. Minerals 12(3):348

    Article  CAS  Google Scholar 

  • Lv S et al (2022) Regional groundwater water quality assessment and contamination source identification by a self-organizing map and entropy method in Pinggu Basin Northeast Beijing. Front Environ Sci. https://doi.org/10.3389/fenvs.2022.946914

    Article  Google Scholar 

  • Mao H et al (2021) Deciphering spatial pattern of groundwater chemistry and nitrogen pollution in Poyang Lake Basin (eastern China) using self-organizing map and multivariate statistics. J Clean Prod 329:129697

    Article  CAS  Google Scholar 

  • Matschullat J, Ottenstein R, Reimann C (2000) Geochemical background - can we calculate it? Environ Geol 39:990–1000. https://doi.org/10.1007/s002549900084

    Article  CAS  Google Scholar 

  • Nadiri AA, Sadeghfam S, Gharekhani M, Khatibi R, Akbari E (2018) Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using ‘risk cells.’ J Environ Manag 217:654–667

    Article  Google Scholar 

  • Ostad-Ali-Askari K, Shayannejad M (2021) Quantity and quality modelling of groundwater to manage water resources in Isfahan-Borkhar Aquifer. Environ Dev Sustain 23:15943–15959

    Article  Google Scholar 

  • Ostad-Ali-Askari K, Kharazi H, Shayannejad M, Zareian M (2020) Effect of management strategies on reducing negative impacts of climate change on water resources of the Isfahan-Borkhar aquifer using MODFLOW. River Res Appl 35:611–631

    Article  Google Scholar 

  • Parrone D, Ghergo S, Preziosi E (2018) A multi-method approach for the assessment of natural background levels in groundwater. Sci Total Environ. https://doi.org/10.1016/j.scitotenv.2018.12.350

    Article  Google Scholar 

  • Parrone D, Ghergo S, Preziosi E (2019) A multi-method approach for the assessment of natural background levels in groundwater. Sci Total Environ 659:884–894

    Article  CAS  Google Scholar 

  • Preziosi E, Parrone D, Del Bon A, Ghergo S (2014) Natural background level assessment in groundwaters: probability plot versus pre-selection method. J Geochem Explor. https://doi.org/10.1016/j.gexplo.2014.03.015

    Article  Google Scholar 

  • Preziosi E, Rotiroti M, Condesso de Melo MT, Hinsby K (2021) Natural background levels in groundwater. Water 13:2770

    Article  Google Scholar 

  • Rahman A, Tiwari K, Mondal N (2020) Assessment of hydrochemical backgrounds and threshold values of groundwater in a part of desert area, Rajasthan, India. Environ Pollut 266:115150

    Article  CAS  Google Scholar 

  • Reimann C, Filzmoser P, Garrett RG (2005) Background and threshold: critical comparison of methods of determination. Sci Total Environ 346(1–3):1–16

    Article  CAS  Google Scholar 

  • Serianz L, Cerar S, Šraj M (2020) Hydrogeochemical characterization and determination of natural background levels (NBL) in groundwater within the main lithological units in Slovenia. Environ Earth Sci 79(15):1–17

    Article  Google Scholar 

  • Shapiro SS, Wilk MB (1965) An analysis of variance test for normality (complete samples). Biometrika 52(3/4):591–611

    Article  Google Scholar 

  • Song Y (2009) Markov distance processing and application of stream sediment data in Sangou area. Jilin University, Hebei

    Google Scholar 

  • Talebmorad H, Ostad-Ali-Askari K (2022) Hydro geo-sphere integrated hydrologic model in modeling of wide basins. Sustain Water Resour Manag 8:118

    Article  Google Scholar 

  • Thilagavathi R, Chidambaram S, Prasanna M, Thivya C (2012) A study on groundwater geochemistry and water quality in layered aquifers system of Pondicherry region, southeast India. Appl Water Sci 2(4):253–269

    Article  CAS  Google Scholar 

  • Yuan R, Li Z, Guo S (2022) Health risks of shallow groundwater in the five basins of Shanxi, China: geographical, geological and human activity roles. Environ Pollut 316:120524

    Article  Google Scholar 

  • Zanotti C et al (2022) Linking local natural background levels in groundwater to their generating hydrogeochemical processes in Quaternary alluvial aquifers. Sci Total Environ 805:150259

    Article  CAS  Google Scholar 

  • Zheng L et al (2022) Combining hydrochemistry and hydrogen and oxygen stable isotopes to reveal the influence of human activities on surface water quality in Chaohu Lake Basin. J Environ Manag 312:114933

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank the Beijing Institute of Hydrogeology and Engineering Geology for the great assistance provided in the field.

Funding

This study was supported by the Major Science and Technology Program for Water Pollution Control and Treatment of China (2018ZX07109-002/1), Key Laboratory of Shallow Geothermal Energy, Ministry of Natural Resources of the People's Republic of China(KLSGE202302-03) and the National Key R&D Program of China (2018YFC1801303).

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ZZ: Conceptualization, data analysis, methodology, and writing—original draft. HW: data analysis, formal analysis, and writing—original draft; ZS: formal analysis, writing—original draft, and writing—reviewing and editing; NS: reviewing and editing.

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Correspondence to Zongwen Zhang or Zheming Shi.

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Zhang, Z., Wang, H., Shi, Z. et al. Temporal and Spatial Evolution of Groundwater Natural Background Levels in a Rapid Urbanization Area, Northeast of Beijing, China. Expo Health 16, 341–355 (2024). https://doi.org/10.1007/s12403-023-00559-8

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  • DOI: https://doi.org/10.1007/s12403-023-00559-8

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