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Natural Hazards

, Volume 77, Issue 3, pp 1903–1914 | Cite as

Arsenic and fluorine in groundwater in western Jilin Province, China: occurrence and health risk assessment

  • B. Jianmin
  • W. Yu
  • Z. Juan
Original Paper

Abstract

In this paper, the triangular fuzzy numbers theory is introduced to health risk assessment. On the basis of defining the parameters as triangular fuzzy numbers, uncertain models were established. As a case study, the fuzzy models were applied to evaluate the health risk of arsenic and fluorine in groundwater in western Jilin Province. The evaluation results indicated that there was great carcinogenic risk of arsenic in Quaternary phreatic water, Quaternary confined water, and Tertiary confined water, and the most probable risk values were 20.94 × 10−5, 55.22 × 10−5, and 24.02 × 10−5 a−1, respectively; all of these values are greater than 5.0 × 10−5 a−1, the acceptable maximum value recommended by the International Agency for Research on Cancer (IARC). The most probable risk values of fluorine in Quaternary phreatic water, Quaternary confined water, and Tertiary confined water were 3.64 × 10−8, 2.48 × 10−8, and 2.17 × 10−8 a−1, respectively, all of which are less than the acceptable maximum value recommended by IARC. The assessment results showed that groundwater in the study area posed great health risks, and the fuzzy models reveal the health risk state of hazardous substances in groundwater more scientifically than traditional models.

Keywords

Arsenic in groundwater Health risks Risk assessment Triangular fuzzy number 

Notes

Acknowledgments

This work was financially supported by the Natural Science Foundation of China (41072255), Jilin Natural Science Foundation (201115035), and the Key Laboratory of Groundwater Resources and Environment of the Ministry of Education.

References

  1. Bian JM, Zha ES, Tang J et al (2010) Inverse geochemical modeling of arsenic groundwater at arseniasis area in the western of Jilin Province. J Jilin Univ (Earth Sci Ed) 40:1098–1103Google Scholar
  2. Bian JM, Tang J, Zhang LS et al (2012) Arsenic distribution and geological factors in the western Jilin Province, China. J Geochem Explor 112:347–356CrossRefGoogle Scholar
  3. Canadian Council of Ministers of the Environment (CCME) (2001) Canada-wide standards for petroleum hydrocarbons (PHC) in soil. Canadian Council of Ministers of the Environment, Endorsed by CCME Council of Ministers, Winnipeg, pp 1–8Google Scholar
  4. Cushman DJ, Driver KS, Ball SD (2001) Risk assessment for environmental contamination: an overview of the fundamentals and application of risk assessment at contaminated sites 28(1):155–162Google Scholar
  5. Dhiman SD, Keshari AK (2006) Hydrogeochemical evaluation of high-fluorine groundwaters: a case study from Mehsana District, Gujarat, India. Hydrol Sci 51:1149–1162CrossRefGoogle Scholar
  6. Duan L (2010) Contamination mechanism of nitrides on subsurface environment and safety assessment on groundwater quality in Guanzhong basin. Changan University Publications, XianGoogle Scholar
  7. Duan XL, Wang ZS, Li Q (2011) Health risk assessment of heavy metals in drinking water based on field measurement of exposure factors of Chinese people. Environ Sci 32:1330–1338Google Scholar
  8. Environmental Protection Agency Lead Sites Workgroup (LSW) (2003) Superfund lead-contaminated residential sites handbook. Office of Emergency and Remedial Response, OSWER 9285.7-50, pp 1–124Google Scholar
  9. Jacks G, Bhattacharya P, Chaudhary V, Singh KP (2005) Controls on the genesis of some high-fluorine groundwater in India. Appl Geochem 20:221–228CrossRefGoogle Scholar
  10. Kentel E, Aral MM (2005) 2D monte carlo versus 2D fuzzy monte carlo health risk assessment. Stoch Environ Res Risk A 19:86–96CrossRefGoogle Scholar
  11. Krishnan K, Paterson J, Williams DT (1997) Health risk assessment of drinking water contaminants in Canada: the applicability of mixture risk assessment methods. Regul Toxicol Pharmacol 26:179–187CrossRefGoogle Scholar
  12. Li RZ (2009) Study on fuzzy model for water environmental health risk assessment. J North Univ China (Nat Sci Ed) 30:443–449Google Scholar
  13. Lin NF (1991) Medical environmental geochemistry. Jilin Tech and Sci Publishing House, ChangchunGoogle Scholar
  14. Ling F (2007) Research on the regulation of arsenic storage and enrichment in the groundwater in the arsenic poisoning area in western Jilin Province. Jilin University, ChangchunGoogle Scholar
  15. Muddassir N, Faisal IK (2006) Human health risk modeling for various exposure routes of trihalomethanes (THMS) in potable water supply. Environ Model Softw 21:1416–1429CrossRefGoogle Scholar
  16. National Environmental Protection Council (NEPC) (1999) Guideline on health risk assessment methodology. National Environment Protection (Assessment of Site Contamination). Schedule B(4), pp 1–63Google Scholar
  17. Nganje TN, Hursthouse AS (2014) Assessment of the health risk, aesthetic and agricultural quality of rainwater, surface water and groundwater in the shale bedrock areas, Southeastern Nigeria. Water Qual Expo Health 7(21):1876–1891Google Scholar
  18. Pokkate W, Srilert C (2013) Heavy metal contamination and human health risk assessment in drinking water from shallow groundwater wells in an agricultural area in Ubon Ratchathani province, Thailand. Environ Geochem Health 36(1):169–182Google Scholar
  19. Qian JZ, Li RZ, Wang JQ (2004) Environmental health risk assessment for urban water supply source. J Hydraul Eng 40:90–93Google Scholar
  20. Radhey S, Kalwania GS (2012) Health risk assessment of fluoride with other parameters in ground water of Sikar City (India). Environ Earth Sci 65(4):1275–1282CrossRefGoogle Scholar
  21. Shakhawat C, Tahir H, Neil B (2006) Fuzzy rule-based modelling for human health risk from naturally occurring radioactive materials in produced water. J Environ Radioact 89:1–7CrossRefGoogle Scholar
  22. Su XS, Wang H (2013) Health risk assessment of nitrate contamination in groundwater: a case study of an agricultural area in Northeast China. Water Resour Manag 27(8):3025–3034CrossRefGoogle Scholar
  23. Sushant KS, Ashok KG (2012) Health risk assessment due to groundwater arsenic contamination: children are at high risk. Hum Ecol Risk Assess Int J 18(4):751–766CrossRefGoogle Scholar
  24. Tong JD, Lu ZM, Zhang XL et al (2004) Epidemiologic prevalence representative survey on state of endemic arsenism in Tongyu Town Jilin Province. Chin J Endemiol 23:48–49Google Scholar
  25. US EPA (1991) Risk assessment guidance for superfund: volume I—Human health evaluation manual (Part B, Development of risk-based preliminary remediation goals). EPA/540/R92/003. Office of Emergency and Remedial Response, US EPA, WashingtonGoogle Scholar
  26. Wang ZQ (1999) The application of geostatistics in ecology. Science Press, BeijingGoogle Scholar
  27. Wang YY, Chen QJ, Huang WD (2009) The evaluation of building design plans based on triangular fuzzy numbers. J Qingdao Tech Univ 30:55–58Google Scholar
  28. Wu YF, Xue LQ, Lv XW (2006) Assessment model of water quality risk based on unascertained mathematics theory. Acta Sci Circumst 26:1047–1052Google Scholar
  29. Xu HW, Liang BC, Tang HY (2005) The outcome analysis of fluorine in Tongyu County. Chin J Control Endem Dis 20:311–313Google Scholar
  30. Yang SZ (2008) Formation of high As groundwater and water-rock interaction in shallow aquifers from the Hetao basin, Inner Mongolia. China University of Geosciences, BeijingGoogle Scholar
  31. Yuan LH (2006) Hydrochemistry of groundwater in Songnen Plain. Geol Resour 15:122–124Google Scholar
  32. Zhang YC, Lin YS, Sun QF (2002) Ecological risk assessment of harmful waste. China Environ Sci Publications, BeijingGoogle Scholar
  33. Zhang YL, Ma R, Li ZH (2014) Human health risk assessment of groundwater in Hetao Plain (Inner Mongolia Autonomous Region, China). Environ Monit Assess 186(8):4669–4684CrossRefGoogle Scholar
  34. Zhao XM (2000) The cause of Tongyu-Qianan, Jilin Province confined groundwater fluorine pollution and control countermeasure. Jilin Geol 19(4):47–50Google Scholar
  35. Zhou XT, Wang J, Sun SQ (2010) Health risk assessment research for drinking water supply sources and case analysis. Sichuan Environ 29:24–28Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Key Laboratory of Groundwater Resources and Environment, Ministry of EducationJilin UniversityChangchunChina

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