Abstract
Nitrate contamination in groundwater is widespread, and studying the extent of contamination and its health risk effects on the population is beneficial for groundwater protection. In this study, 130 groundwater samples collected from the western Sichuan Basin were analyzed for hydrochemical spatial distribution, groundwater quality, and probabilistic health risk. Piper diagram showed that the hydrochemical type of groundwater samples was Ca-HCO3. The hydrochemical components were mainly controlled by carbonate dissolution, silicate weathering and cation exchange based on ion ratios and saturation index. The statistical and spatial analysis showed that the concentration of NO3− exceeded the permission limit for drinking purpose in the central and eastern parts of the study area. The EWQI results showed that about 90.84% of the water samples were of excellent and good quality for drinking purpose. The HI-total values showed that, about 37.40% of samples yielded health risks above the limit value 1 for children. And the percentages of samples were 22.90% and 29.77% for adult females and adult males, respectively. Spatial analysis indicated the samples unsuitable for drinking were concentrated on the cultivated areas of low-hill landform where nitrogen fertilizers were used. Therefore, more attention of groundwater protection should be paid in the central and eastern cultivated areas of low-hill landform. The achievements would provide a vital reference for groundwater management in Sichuan Basin and other similar areas in the world.
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References
Adimalla N (2021) Application of the Entropy Weighted Water Quality Index (EWQI) and the Pollution Index of Groundwater (PIG) to assess groundwater quality for drinking purposes: a case study in a rural area of Telangana State, India. Arch Environ Contam Toxicol. https://doi.org/10.1007/s00244-020-00800-4
Adimalla N, Qian H (2019) Spatial distribution and health risk assessment of fluoride contamination in groundwater of Telangana: a state-of-the-art. Geochemistry. https://doi.org/10.1016/j.chemer.2019.125548
Adimalla N, Qian H (2021) Groundwater chemistry, distribution and potential health risk appraisal of nitrate enriched groundwater: a case study from the semi-urban region of South India. Ecotoxicol Environ Saf 207:111277. https://doi.org/10.1016/j.ecoenv.2020.111277
Batsaikhan B, Yun S-T, Kim K-H, Yu S, Lee K-J, Lee Y-J, Namjil J (2021) Groundwater contamination assessment in Ulaanbaatar City, Mongolia with combined use of hydrochemical, environmental isotopic, and statistical approaches. Sci Total Environ 765:142790. https://doi.org/10.1016/j.scitotenv.2020.142790
Dash S, Kalamdhad AS (2021) Discussion on the existing methodology of entropy-weights in water quality indexing and proposal for a modification of the expected conflicts. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-14482-5
Fischer A, Lee M-K, Ojeda AS, Rogers SR (2021) GIS interpolation is key in assessing spatial and temporal bioremediation of groundwater arsenic contamination. J Environ Manage 280:111683. https://doi.org/10.1016/j.jenvman.2020.111683
Gibbs JR (1970) Mechanisms controlling world water chemistry. Science 170:1088–1090
He S, Li P, Wu J, Elumalai V, Adimalla N (2019) 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 26:2771–2797. https://doi.org/10.1080/10807039.2019.1684186
Jung H, Kim YS, Yoo J, Park B, Lee J (2021) Seasonal variations in stable nitrate isotopes combined with stable water isotopes in a wastewater treatment plant: implications for nitrogen sources and transformation. J Hydrol 599:126488. https://doi.org/10.1016/j.jhydrol.2021.126488
Li P (2020) To make the water safer. Expo Health. https://doi.org/10.1007/s12403-020-00370-9
Li C, Gao X, Li S, Bundschuh J (2020) A review of the distribution, sources, genesis, and environmental concerns of salinity in groundwater. Environ Sci Pollut Res 27:41157–41174. https://doi.org/10.1007/s11356-020-10354-6
Luo Y, Xiao Y, Hao Q, Zhang Y, Zhao Z, Wang S, Dong G (2021) Groundwater geochemical signatures and implication for sustainable development in a typical endorheic watershed on Tibetan plateau. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-14018-x
Parkhurst DL (1995) User's guide to PHREEQC: a computer program for speciation, reaction-path, advective-transport, and inverse geochemical calculations. US Department of the Interior, US Geological Survey
Saha N, Rahman MS (2020) Groundwater hydrogeochemistry and probabilistic health risk assessment through exposure to arsenic-contaminated groundwater of Meghna floodplain, central-east Bangladesh. Ecotoxicol Environ Saf 206:111349. https://doi.org/10.1016/j.ecoenv.2020.111349
Seifi A, Dehghani M, Singh VP (2020) Uncertainty analysis of water quality index (WQI) for groundwater quality evaluation: application of Monte-Carlo method for weight allocation. Ecol Ind 117:106653. https://doi.org/10.1016/j.ecolind.2020.106653
Shalyari N, Alinejad A, Hashemi AHG, RadFard M, Dehghani M (2019) Health risk assessment of nitrate in groundwater resources of Iranshahr using Monte Carlo simulation and geographic information system (GIS). MethodsX 6:1812–1821. https://doi.org/10.1016/j.mex.2019.07.024
Silva MI, Gonçalves AML, Lopes WA, Lima MTV, Costa CTF, Paris M, Firmino PRA, De Paula Filho FJ (2021) Assessment of groundwater quality in a Brazilian semiarid basin using an integration of GIS, water quality index and multivariate statistical techniques. J Hydrol 598:126346. https://doi.org/10.1016/j.jhydrol.2021.126346
Slama T, Sebei A (2020) Spatial and temporal analysis of shallow groundwater quality using GIS, Grombalia aquifer, Northern Tunisia. J Afr Earth Sc 170:103915. https://doi.org/10.1016/j.jafrearsci.2020.103915
Sunkari ED, Abu M, Zango MS, Lomoro Wani AM (2020) Hydrogeochemical characterization and assessment of groundwater quality in the Kwahu-Bombouaka Group of the Voltaian Supergroup, Ghana. J Afr Earth Sci. https://doi.org/10.1016/j.jafrearsci.2020.103899
Szymkiewicz A, Potrykus D, Jaworska-Szulc B, Gumuła-Kawęcka A, Pruszkowska-Caceres M, Dzierzbicka-Głowacka L (2020) Evaluation of the influence of farming practices and land use on groundwater resources in a coastal multi-aquifer system in Puck Region (Northern Poland). Water. https://doi.org/10.3390/w12041042
Tiwari AK, Suozzi E, Fiorucci A, Lo Russo S (2021) Assessment of groundwater geochemistry and human health risk of an intensively cropped alluvial plain, NW Italy. Hum Ecol Risk Assess 27:825–845. https://doi.org/10.1080/10807039.2020.1775484
Torres-Martínez JA, Mora A, Mahlknecht J, Daesslé LW, Cervantes-Avilés PA, Ledesma-Ruiz R (2020) Estimation of nitrate pollution sources and transformations in groundwater of an intensive livestock-agricultural area (Comarca Lagunera), combining major ions, stable isotopes and MixSIAR model. Environ Pollut. https://doi.org/10.1016/j.envpol.2020.115445
Uddin MG, Nash S, Olbert AI (2021) A review of water quality index models and their use for assessing surface water quality. Ecol Ind 122:107218. https://doi.org/10.1016/j.ecolind.2020.107218
USEPA (2004) Risk Assessment Guidance for Superfund Volume I: Human Health Evaluation Muanual (Part E, Supplemental Guidance for Dermal Risk Assessment). US Environment Protection Agency, Washington
Wang Y, Li P (2022) Appraisal of shallow groundwater quality with human health risk assessment in different seasons in rural areas of the Guanzhong Plain (China). Environ Res 207:112210. https://doi.org/10.1016/j.envres.2021.112210
You X, Liu S, Dai C, Guo Y, Zhong G, Duan Y (2020) Contaminant occurrence and migration between high- and low-permeability zones in groundwater systems: a review. Sci Total Environ 743:140703. https://doi.org/10.1016/j.scitotenv.2020.140703
Zhang H, Yang R, Wang Y, Ye R (2019) The evaluation and prediction of agriculture-related nitrate contamination in groundwater in Chengdu Plain, southwestern China. Hydrogeol J 27:785–799
Zhang H, Xu Y, Cheng S, Li Q, Yu H (2020a) Application of the dual-isotope approach and Bayesian isotope mixing model to identify nitrate in groundwater of a multiple land-use area in Chengdu Plain. China Science of the Total Environment 717:137134. https://doi.org/10.1016/j.scitotenv.2020.137134
Zhang H, Xu Y, Cheng S, Li Q, Yu H (2020b) Application of the dual-isotope approach and Bayesian isotope mixing model to identify nitrate in groundwater of a multiple land-use area in Chengdu Plain. China Sci Total Environ 717:137134. https://doi.org/10.1016/j.scitotenv.2020.137134
Zhang Y, Dai Y, Wang Y, Huang X, Xiao Y, Pei Q (2021) Hydrochemistry, quality and potential health risk appraisal of nitrate enriched groundwater in the Nanchong area, southwestern China. Sci Total Environ 784:147186. https://doi.org/10.1016/j.scitotenv.2021.147186
Zhang Q, Wang H, Xu Z, Li G, Yang M, Liu J (2023) Quantitative identification of groundwater contamination sources by combining isotope tracer technique with PMF model in an arid area of northwestern China. J Environ Manage 325:116588. https://doi.org/10.1016/j.jenvman.2022.116588
Acknowledgements
We thank two anonymous reviewers for their constructive suggestions which improved our manuscript.
Funding
This research was funded by the Sichuan Science and Technology Program (Grant No. 2021JDZH0030) and Engineering research center of groundwater pollution control and remediation (Grant GW202213).
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DG—field survey, software, wrote the main manuscript. YY—collection of samples, conceptualization, review and editing of the manuscript, supervision. RY—experimental part, instrumentation, data curation and validation. HS—field survey, prepared figures. QC—data curation and validation.
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Gao, D., Yan, Y., Yao, R. et al. Spatial analysis and GIS mapping of regional hydrochemistry, groundwater quality, and probabilistic health risk in western Sichuan Basin, southwestern China. Environ Earth Sci 83, 41 (2024). https://doi.org/10.1007/s12665-023-11341-z
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DOI: https://doi.org/10.1007/s12665-023-11341-z