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Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100

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Abstract

The seasonal variations of shallow groundwater arsenic have been widely documented. To gain insight into the monthly variations and mechanisms behind high groundwater arsenic and arsenic exposure risk in different climate scenarios, the monthly probability of high groundwater arsenic in Hetao Basin was simulated through random forest model. The model was based on arsenic concentrations obtained from 566 groundwater sample sites, and the variables considered included soil properties, climate, topography, and landform parameters. The results revealed that spatial patterns of high groundwater arsenic showed some fluctuations among months under different future climate scenarios. The probability of high total arsenic and trivalent arsenic was found to be elevated at the start of the rainy season, only to rapidly decrease with increasing precipitation and temperature. The probability then increased again after the rainy season. The areas with an increased probability of high total arsenic and trivalent arsenic and arsenic exposure risk under SSP126 were typically found in the high-arsenic areas of 2019, while those with decreased probabilities were observed in low-arsenic areas. Under SSP585, which involves a significant increase in precipitation and temperature, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was widely reduced. However, the probability of high total arsenic and trivalent arsenic and arsenic exposure risk was mainly observed in low-arsenic areas from SSP126 to SSP585. In conclusion, the consumption of groundwater for human and livestock drinking remains a threat to human health due to high arsenic exposure under future climate scenarios.

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References

  • Aftabtalab A, Rinklebe J, Shaheen SM, Niazi NK, Moreno-Jiménez E, Schaller J, Knorr K-H (2022) Review on the interactions of arsenic, iron (oxy)(hydr)oxides, and dissolved organic matter in soils, sediments, and groundwater in a ternary system. Chemosphere 286:131790

    CAS  Google Scholar 

  • Amini M, Abbaspour KC, Berg M, Winkel L, Hug SJ, Hoehn E, Yang H, Johnson CA (2008) Statistical modeling of global geogenic arsenic contamination in groundwater. Environ Sci Technol 42:3669–3675

    CAS  Google Scholar 

  • Aullón Alcaine A, Schulz C, Bundschuh J, Jacks G, Thunvik R, Gustafsson J-P, Mörth C-M, Sracek O, Ahmad A, Bhattacharya P (2020) Hydrogeochemical controls on the mobility of arsenic, fluoride and other geogenic co-contaminants in the shallow aquifers of northeastern La Pampa Province in Argentina. Sci Total Environ 715:136671

    Google Scholar 

  • Ayotte JD, Belaval M, Olson SA, Burow KR, Flanagan SM, Hinkle SR, Lindsey BD (2015) Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States. Sci Total Environ 505:1370–1379

    CAS  Google Scholar 

  • Aziz Z, van Geen A, Stute M, Versteeg R, Horneman A, Zheng Y, Goodbred S, Steckler M, Weinman B, Gavrieli I, Hoque MA, Shamsudduha M, Ahmed KM (2008) Impact of local recharge on arsenic concentrations in shallow aquifers inferred from the electromagnetic conductivity of soils in Araihazar. Water Resources Research, Bangladesh, p 44

    Google Scholar 

  • Barbieri M, Barberio MD, Banzato F, Billi A, Boschetti T, Franchini S, Gori F, Petitta M (2023) Climate change and its effect on groundwater quality. Environ Geochem Health 45:1133–1144

    CAS  Google Scholar 

  • Bondu R, Cloutier V, Rosa E, Benzaazoua M (2016) A review and evaluation of the impacts of climate change on geogenic arsenic in groundwater from fractured bedrock aquifers. Water Air Soil Pollut 227:296

    Google Scholar 

  • Breiman L (2001) Random forests. Mach Learn 45:5–32

    Google Scholar 

  • Bundschuh J, Farias B, Martin R, Storniolo A, Bhattacharya P, Cortes J, Bonorino G, Albouy R (2004) Groundwater arsenic in the Chaco-Pampean Plain, Argentina: case study from Robles county, Santiago del Estero Province. Appl Geochem 19:231–243

    CAS  Google Scholar 

  • Cheng Y-Y, Huang N-C, Chang Y-T, Sung J-M, Shen K-H, Tsai C-C, Guo H-R (2017) Associations between arsenic in drinking water and the progression of chronic kidney disease: a nationwide study in Taiwan. J Hazard Mater 321:432–439

    CAS  Google Scholar 

  • Das N, Sarma KP, Patel AK, Deka JP, Das A, Kumar A, Shea PJ, Kumar M (2017) Seasonal disparity in the co-occurrence of arsenic and fluoride in the aquifers of the Brahmaputra flood plains, Northeast India. Environ Earth Sci 76:183

    Google Scholar 

  • Degnan JR, Levitt JP, Erickson ML, Jurgens BC, Lindsey BD, Ayotte JD (2020) Time scales of arsenic variability and the role of high-frequency monitoring at three water-supply wells in New Hampshire, USA. Sci Total Environ 709:135946

    CAS  Google Scholar 

  • Deng Y, Zheng T, Wang Y, Liu L, Jiang H, Ma T (2018) Effect of microbially mediated iron mineral transformation on temporal variation of arsenic in the Pleistocene aquifers of the central Yangtze River basin. Sci Total Environ 619–620:1247–1258

    Google Scholar 

  • Duan Y, Gan Y, Wang Y, Deng Y, Guo X, Dong C (2015) Temporal variation of groundwater level and arsenic concentration at Jianghan Plain, central China. J Geochem Explor 149:106–119

    CAS  Google Scholar 

  • Farooq SH, Chandrasekharam D, Norra S, Berner Z, Eiche E, Thambidurai P, Stüben D (2011) Temporal variations in arsenic concentration in the groundwater of Murshidabad District, West Bengal, India. Environ Earth Sci 62:223–232

    CAS  Google Scholar 

  • Farzan SF, Eunus HEMM, Haque SE, Sarwar G, Hasan AKMR, Wu F, Islam T, Ahmed A, Shahriar M, Jasmine F, Kibriya MG, Parvez F, Karagas MR, Chen Y, Ahsan H (2022) Arsenic exposure from drinking water and endothelial dysfunction in Bangladeshi adolescents. Environ Res 208:112697

    CAS  Google Scholar 

  • Frisbie SH, Mitchell EJ (2022) Arsenic in drinking water: an analysis of global drinking water regulations and recommendations for updates to protect public health. PLoS One 17:e0263505

    CAS  Google Scholar 

  • Fu Y, Cao W, Pan D, Ren Y (2022) Changes of groundwater arsenic risk in different seasons in Hetao Basin based on machine learning model. Sci Total Environ 817:153058

    CAS  Google Scholar 

  • Gao ZP, Jia YF, Guo HM, Zhang D, Zhao B (2020) Quantifying geochemical processes of arsenic mobility in groundwater from an inland basin using a reactive transport model. Water Resour Res 56:e2019WR025492

    CAS  Google Scholar 

  • Gao Z, Weng H, Guo H (2021) Unraveling influences of nitrogen cycling on arsenic enrichment in groundwater from the Hetao Basin using geochemical and multi-isotopic approaches. J Hydrol 595:125981

    CAS  Google Scholar 

  • Gao Z, Guo H, Li S, Wang J, Ye H, Han S, Cao W (2022) Remote sensing of wetland evolution in predicting shallow groundwater arsenic distribution in two typical inland basins. Sci Total Environ 806:150496

    CAS  Google Scholar 

  • Green TR, Taniguchi M, Kooi H, Gurdak JJ, Allen DM, Hiscock KM, Treidel H, Aureli A (2011) Beneath the surface of global change: impacts of climate change on groundwater. J Hydrol 405:532–560

    Google Scholar 

  • Guo H, Yang S, Tang X, Li Y, Shen Z (2008) Groundwater geochemistry and its implications for arsenic mobilization in shallow aquifers of the Hetao Basin, Inner Mongolia. Sci Total Environ 393:131–144

    CAS  Google Scholar 

  • Guo H, Zhang Y, Jia Y, Zhao K, Kim K (2013a) Spatial and temporal evolutions of groundwater arsenic approximately along the flow path in the Hetao basin, Inner Mongolia. Chin Sci Bull 58:3070–3079

    CAS  Google Scholar 

  • Guo H, Zhang Y, Jia Y, Zhao K, Li Y, Tang X (2013b) Dynamic behaviors of water levels and arsenic concentration in shallow groundwater from the Hetao Basin, Inner Mongolia. J Geochem Explor 135:130–140

    CAS  Google Scholar 

  • Guo H, Zhou Y, Jia Y, Tang X, Li X, Shen M, Lu H, Han S, Wei C, Norra S, Zhang F (2016) Sulfur Cycling-related biogeochemical processes of arsenic mobilization in the western Hetao Basin, China: evidence from multiple isotope approaches. Environ Sci Technol 50:12650–12659

    CAS  Google Scholar 

  • Han S, Zhang F, Zhang H, An Y, Wang Y, Wu X, Wang C (2013) Spatial and temporal patterns of groundwater arsenic in shallow and deep groundwater of Yinchuan Plain, China. J Geochem Explor 135:71–78

    CAS  Google Scholar 

  • Islam S, Rahman MM, Islam MR, Naidu R (2017) Geographical variation and age-related dietary exposure to arsenic in rice from Bangladesh. Sci Total Environ 601–602:122–131

    Google Scholar 

  • Jia Y, Guo H, Xi B, Jiang Y, Zhang Z, Yuan R, Yi W, Xue X (2017) Sources of groundwater salinity and potential impact on arsenic mobility in the western Hetao Basin, Inner Mongolia. Sci Total Environ 601–602:691–702

    Google Scholar 

  • Kellett MP, Jatko JT, Darling CL, Ventrello SW, Bain LJ (2022) Arsenic exposure impairs intestinal stromal cells. Toxicol Lett 361:54–63

    CAS  Google Scholar 

  • Kulkarni HV, Mladenov N, Datta S, Chatterjee D (2018) Influence of monsoonal recharge on arsenic and dissolved organic matter in the Holocene and Pleistocene aquifers of the Bengal Basin. Sci Total Environ 637–638:588–599

    Google Scholar 

  • Kumar P, Kumar M, Ramanathan AL, Tsujimura M (2010) Tracing the factors responsible for arsenic enrichment in groundwater of the middle Gangetic Plain, India: a source identification perspective. Environ Geochem Health 32:129–146

    CAS  Google Scholar 

  • Kumar S, Joshi SK, Pant N, Singh S, Chakravorty B, Saini RK, Kumar V, Singh A, Ghosh NC, Mukherjee A, Rai P, Singh V (2021) Hydrogeochemical evolution and groundwater recharge processes in arsenic enriched area in central Gangetic plain. India Appl Geochem 131:105044

    CAS  Google Scholar 

  • Li Y, Bi Y, Mi W, Xie S, Ji L (2021a) Land-use change caused by anthropogenic activities increase fluoride and arsenic pollution in groundwater and human health risk. J Hazard Mater 406:124337

    CAS  Google Scholar 

  • Li Y, Ji L, Mi W, Xie S, Bi Y (2021b) Health risks from groundwater arsenic on residents in northern China coal-rich region. Sci Total Environ 773:145003

    CAS  Google Scholar 

  • Majumder S, Datta S, Nath B, Neidhardt H, Sarkar S, Roman-Ross G, Berner Z, Hidalgo M, Chatterjee D, Chatterjee D (2016) Monsoonal influence on variation of hydrochemistry and isotopic signatures: implications for associated arsenic release in groundwater. J Hydrol 535:407–417

    CAS  Google Scholar 

  • Mao W, Zhu Y, Wu J, Ye M, Yang J (2022) Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas. Agric Water Manag 262:107398

    Google Scholar 

  • Métral J, Charlet L, Bureau S, Mallik SB, Chakraborty S, Ahmed KM, Rahman MW, Cheng Z, van Geen A (2008) Comparison of dissolved and particulate arsenic distributions in shallow aquifers of Chakdaha, India, and Araihazar, Bangladesh. Geochem Trans 9:1

    Google Scholar 

  • Mueller B, Hug SJ (2018) Climatic variations and de-coupling between arsenic and iron in arsenic contaminated ground water in the lowlands of Nepal. Chemosphere 210:347–358

    CAS  Google Scholar 

  • Ormachea Muñoz M, Wern H, Johnsson F, Bhattacharya P, Sracek O, Thunvik R, Quintanilla J, Bundschuh J (2013) Geogenic arsenic and other trace elements in the shallow hydrogeologic system of Southern Poopó Basin, Bolivian Altiplano. J Hazard Mater 262:924–940

    Google Scholar 

  • Parvaiz A, Khattak JA, Hussain I, Masood N, Javed T, Farooqi A (2021) Salinity enrichment, sources and its contribution to elevated groundwater arsenic and fluoride levels in Rachna Doab, Punjab Pakistan: stable isotope (δ2H and δ18O) approach as an evidence. Environ Pollut 268:115710

    CAS  Google Scholar 

  • Pili E, Tisserand D, Bureau S (2013) Origin, mobility, and temporal evolution of arsenic from a low-contamination catchment in Alpine crystalline rocks. J Hazard Mater 262:887–895

    CAS  Google Scholar 

  • Planer-Friedrich B, Härtig C, Lissner H, Steinborn J, Süß E, Qumrul Hassan M, Zahid A, Alam M, Merkel B (2012) Organic carbon mobilization in a Bangladesh aquifer explained by seasonal monsoon-driven storativity changes. Appl Geochem 27:2324–2334

    CAS  Google Scholar 

  • Podgorski J, Berg M (2020) Global threat of arsenic in groundwater. Science 368:845–850

    CAS  Google Scholar 

  • Polizzotto ML, Kocar BD, Benner SG, Sampson M, Fendorf S (2008) Near-surface wetland sediments as a source of arsenic release to ground water in Asia. Nature 454:505–508

    CAS  Google Scholar 

  • Rajmohan N, Masoud MHZ, Niyazi BAM (2021) Impact of evaporation on groundwater salinity in the arid coastal aquifer, Western Saudi Arabia. CATENA 196:104864

    CAS  Google Scholar 

  • Reyes-Gómez VM, Alarcón-Herrera MT, Gutiérrez M, López DN (2015) Arsenic and fluoride variations in groundwater of an endorheic basin undergoing land-use changes. Arch Environ Contam Toxicol 68:292–304

    Google Scholar 

  • Rodriguez R, Ramos JA, Armienta A (2004) Groundwater arsenic variations: the role of local geology and rainfall. Appl Geochem 19:245–250

    CAS  Google Scholar 

  • Rokonuzzaman MD, Li WC, Wu C, Ye ZH (2022) Human health impact due to arsenic contaminated rice and vegetables consumption in naturally arsenic endemic regions. Environ Pollut 308:119712

    CAS  Google Scholar 

  • Salman A, Al-Qinna M, Kuisi MA (2014) Spatial analysis of soil and shallow groundwater physicochemical parameters in El-Mujib Basin-central Jordan. J Asian Earth Sci 79:366–381

    Google Scholar 

  • Schaefer MV, Guo X, Gan Y, Benner SG, Griffin AM, Gorski CA, Wang Y, Fendorf S (2017) Redox controls on arsenic enrichment and release from aquifer sediments in central Yangtze River Basin. Geochim Cosmochim Acta 204:104–119

    CAS  Google Scholar 

  • Schaefer M, Ying S, Benner S, Duan Y, Wang Y, Fendorf S (2016) Aquifer arsenic cycling induced by seasonal hydrologic changes within the Yangtze River Basin. Environ Sci Technol 50(7):3521–3529

  • Shao K, Zhou Z, Xun P, Cohen SM (2021) Bayesian benchmark dose analysis for inorganic arsenic in drinking water associated with bladder and lung cancer using epidemiological data. Toxicology 455:152752

    CAS  Google Scholar 

  • Smedley PL, Kinniburgh DG (2002) A review of the source, behaviour and distribution of arsenic in natural waters. Appl Geochem 17:517–568

    CAS  Google Scholar 

  • Stute M, Zheng Y, Schlosser P, Horneman A, Dhar RK, Datta S, Hoque MA, Seddique AA, Shamsudduha M, Ahmed KM, van Geen A (2007) Hydrological control of As concentrations in Bangladesh groundwater. Water Resour Res 43:W09417

  • Van Phan TH, Bonnet TG, Garambois S, Tisserand D, Bardelli F, Bernier-Latmani R, Charlet L (2017) Arsenic in shallow aquifers linked to the electrical ground conductivity: the Mekong Delta source example. Geosci Res 2:180–195

  • Wang Y, Li J, Ma T, Xie X, Deng Y, Gan Y (2021) Genesis of geogenic contaminated groundwater: As, F and I. Crit Rev Environ Sci Technol 51:2895–2933

    CAS  Google Scholar 

  • Wei B, Yu J, Wang J, Yang L, Li H, Kong C, Xia Y, Wu K (2017) The relationships between arsenic methylation and both skin lesions and hypertension caused by chronic exposure to arsenic in drinking water. Environ Toxicol Pharmacol 53:89–94

    CAS  Google Scholar 

  • WHO, UNICEF (2018) Arsenic Primer—guidance on the investigation & mitigation of arsenic contamination, 3rd edn. WHO/UNICEF, New York

    Google Scholar 

  • Yin S, Tian Y, Yang L, Wen Q, Wei B (2022a) Dynamics of spatiotemporal variation of groundwater arsenic due to salt-leaching irrigation and saline-alkali land. Remote Sensing 14:5586

    Google Scholar 

  • Yin S, Yang L, Wen Q, Wei B (2022b) Temporal variation and mechanism of the geogenic arsenic concentrations in global groundwater. Appl Geochem 146:105475

    CAS  Google Scholar 

  • 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

    CAS  Google Scholar 

  • Yu K, Duan Y, Gan Y, Zhang Y, Zhao K (2020) Anthropogenic influences on dissolved organic matter transport in high arsenic groundwater: insights from stable carbon isotope analysis and electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry. Sci Total Environ 708:135162

    CAS  Google Scholar 

  • Zafarzadeh A, Taghani JM, Toomaj MA, Ramavandi B, Bonyadi Z, Sillanpää M (2021) Assessment of the health risk and geo-accumulation of toxic metals in agricultural soil and wheat, northern Iran. Environ Monit Assess 193:750

    CAS  Google Scholar 

  • Zafarzadeh A, Bonyadi Z, Feyzi K (2022) Health risk assessment related to cadmium in dairy products in Gorgan, Iran. Int J Environ Anal Chem 102:4058–4066

    CAS  Google Scholar 

  • Zhang Y, Cao W, Wang W, Dong Q (2013) Distribution of groundwater arsenic and hydraulic gradient along the shallow groundwater flow-path in Hetao Plain, Northern China. J Geochem Explor 135:31–39

    CAS  Google Scholar 

  • Zhang L, Yang L, Ma T, Shen F, Cai Y, Zhou C (2021) A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data. Geoderma 384:114809

    Google Scholar 

  • Zhang H, Zhang X, Liu W, Yeh PJF, Ye P, He X (2022) Impacts of active tectonics on geogenic arsenic enrichment in groundwater in the Hetao Plain, Inner Mongolia. Quat Sci Rev 278:107343

    Google Scholar 

  • Zheng T, Deng Y, Wang Y, Jiang H, O’Loughlin EJ, Flynn TM, Gan Y, Ma T (2019) Seasonal microbial variation accounts for arsenic dynamics in shallow alluvial aquifer systems. J Hazard Mater 367:109–119

    CAS  Google Scholar 

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 41977400) and the Central Government Guides Local Science and Technology Development Program (Grant Nos. 2021ZY0047, XZ202201YD0014C).

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Authors and Affiliations

  1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11 A Datun Road, Beijing, 100101, China

    Binggan Wei, Shuhui Yin, Linsheng Yang, Qiqian Wen, Ting Wang & Xing Yuan

  2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China

    Shuhui Yin, Jiangping Yu, Linsheng Yang, Qiqian Wen, Ting Wang & Xing Yuan

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  1. Binggan Wei
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  2. Shuhui Yin
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Contributions

Conceptualization, B. W.; methodology, software, data collection, and analysis, S. Y., T. W., J. Y., Q. W., and X. Y.; chemical experiment, S. Y. and Q. W.; writing—review and editing, all authors; funding acquisition, B. W. and L. Y.

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Correspondence to Binggan Wei.

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Wei, B., Yin, S., Yu, J. et al. Monthly variations of groundwater arsenic risk under future climate scenarios in 2081–2100. Environ Sci Pollut Res 30, 122230–122244 (2023). https://doi.org/10.1007/s11356-023-30965-z

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