Abstract
In the purview of groundwater pollution, a rational exploitation, utilization, protection, and risk assessment of groundwater has become an important means of groundwater management and pollution prevention. Xiashan Economic Zone of Weifang City which is located in the central region of the Shandong Peninsula, China, has been chosen to investigate the risk assessment of pollution by heavy metals (Pb, Cr, Cd, and Hg) permeating into groundwater periodically through the soil layers or the vadose zone. This study deals with the risk assessment and forewarning model of groundwater pollution by the use of comprehensive risk index method along with GIS overlay analysis and groundwater pollution forewarning system. Soil samples (n = 988) and water samples (n = 327) from groundwater resources of Xiashan Economic Zone and eight major factors, i.e., runoff factor, overburden strata factor, atmospheric precipitation factor, pollutant source type, pollutant generation quantity, pollutant release possibility, water yield from aquifers, and groundwater conservation district, have been thoroughly studied. Based on data analysis and study, groundwater pollution risk assessment zonation map and groundwater forewarning distribution map were established. The results show that the distribution area accounting for 3.07% of the total area is of medium warning with high risk of pollution. Mainly spread on both banks of the river, the serious warning zone is covering 26.80% of the total area for groundwater, and the groundwater is distressed with a risk of moderate pollution. While the tremendous warning area for groundwater pollution is distributed in over 70.13% of the total area, thus, putting in a state of high-risk pollution. The warning degree of groundwater pollution in typical water source areas was identified, and the possible alarming warning instance can be forecast. Based on the warning degree, the governance protection area and key protection area were divided. The corresponding prevention and control measures were put forward after formulating the prevention and control plan of groundwater pollution based on this kind of study.
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References
Benaboud J, Elachouri M (2010) The risk assessment of pollution in groundwater by pesticides at the level of oriental Morocco: case of the perimeter irrigated by the lower Moulouya. Toxicol Lett 196(supp-S). https://doi.org/10.1016/j.toxlet.2010.03.1003
Bo Z (2016) Landfill risk assessment on groundwater based on vulnerability and pollution index. Water Resour Manag 30(4):1465–1480. https://doi.org/10.1007/s11269-016-1233-x
Dimitriou E, Karaouzas I, Sarantakos K et al (2008) Groundwater risk assessment at a heavily industrialised catchment and the associated impacts on a peri-urban wetland. J Environ Manag 88(3):526–538. https://doi.org/10.1016/j.jenvman.2007.03.019
Ding Q, Yu LF, Tian YJ et al (2010) Environmental risk of specific POPs at a pesticide production site. Res Environ Sci 23(12):1528–1534 (In Chinese). https://doi.org/10.13198/j.res.2010.12.86.dingq.014
Ducci D, De Masi G, Priscoli GD (2008) Contamination risk of the Alburni karst system (southern Italy). Eng Geol 99(3):109–120. https://doi.org/10.1016/j.enggeo.2007.11.008
Entezari M, Yamani M, Aghdam MJ (2016) Evaluation of intrinsic vulnerability, hazard and risk mapping for karst aquifers, Khorein aquifer, Kermanshah province: a case study. Environ Earth Sci 75(5):435. https://doi.org/10.1007/s12665-016-5258-5
Guan YP (2012) A discussion on evaluating groundwater quality by Nemerow index method. Shanxi Hydrotechnics (1):81–84 (In Chinese). https://doi.org/10.3969/j.issn.1006-8139.2012.01.035
Guo JP, Zhai PM, Wu L et al (2014) Diurnal variation and the influential factors of precipitation from surface and satellite measurements in Tibet. Int J Climatol 34(9):2940–2956. https://doi.org/10.1002/joc.3886
Guo JY, Yang L, Liu X et al (2013) Decadal variation in surface characteristics over Xinjiang, western China, from TAP altimetry backscatter coefficients: evidence of climate change. Terr Atmos Ocean Sci 24(4):565–579. https://doi.org/10.3319/tao.2012.11.01.01(tibxs)
Hakanson L (1980) An ecological risk index for aquatic pollution control: a sedimentological approach. Water Res 14(8):975–1001. https://doi.org/10.1016/0043-1354(80)90143-8
Han ZY, Xu M, Liu G et al (2015) Pollutant identification and quality assessment of groundwater near municipal solid waste landfills in China. China Environ Sci 35(9):2843–2852 (In Chinese). https://doi.org/10.3969/j.issn.1000-6923.2015.09.042
Huysmans M, Madarász T, Dassargues A (2006) Risk assessment of groundwater pollution using sensitivity analysis and a worst-case scenario analysis. Environ Geol 50(2):180–193. https://doi.org/10.1007/s00254-006-0197-1
Ling H, Guo B, Xu H, Fu J (2014) Configuration of water resources for a typical river basin in an arid region of China based on the ecological water requirements (EWRs) of desert riparian vegetation. Glob Planet Chang 122:292–304. https://doi.org/10.1016/j.gloplacha.2014.09.008
Liu HJ, Fan MY, Zhang BX et al (2015) Vulnerability assessment of karst water in Feicheng Basin based on COP method. S N Water Transfers Water Sci Technol 13(03):538–542 (In Chinese). https://doi.org/10.13476/j.cnki.nsbdqk.2015.03.031
Liu ZC, He LS, Dong J et al (2012) Risk assessment of groundwater pollution for simple waste landfill. Res Environ Sci 25(7):833–839 (In Chinese). https://doi.org/10.13198/j.res.2012.07.106.liuzch.017
Lv JJ, Xu DP, Li FS (2012) Effects of different environmental factors on the transportation of black soil colloid in saturated porous media. Res Environ Sci 25(8):875–881 (In Chinese). https://doi.org/10.13198/j.res.2012.08.34.lvjj.013
Luan MT, Zhang JL, Yang Q (2004) Numerical analysis of contaminant transport process through landfill considering nonequilibrium and nonlinear sorption behaviour. Rock Soil Mech 25(12):1855–1861 (In Chinese). https://doi.org/10.1007/BF02911033
Maryam H, Ali S (2018) Assessment and estimating groundwater vulnerability to pollution using a modified DRASTIC and GODS models (case study: Malayer Plain of Iran). Civil Engi Jl 4(2):433–442. https://doi.org/10.28991/cej-0309103
Mimi ZA, Assi A (2009) Intrinsic vulnerability, hazard and risk mapping for karst aquifers: a case study. J Hydrol 364(3):298–310. https://doi.org/10.1016/j.jhydrol.2008.11.008
Mu S, Xu DP, Chen H et al (2006) Contamination of petroleum hydrocarbons in soils and groundwater around Tiebutie pool in Daqing. Res Environ Sci 19(2):16–19. https://doi.org/10.1016/S1872-2040(06)60041-8
New Jersey Department of Environmental Protection (2008a) Development of site-specific impact to ground water soil remediation standards using the soil-water partition equation. New Jersey Department of Environmental Protection., Trenton. https://doi.org/10.7282/T398870K
New Jersey Department of Environmental Protection (2008b) Guidance for the use of the synthetic precipitation leaching procedure to develop site-specific impact to ground water remediation standards. New Jersey Department of Environmental Protection, Trenton. https://doi.org/10.7282/T35H7G7D
New Jersey Department of Environmental Protection (2008c) Guidance for the determination of the dilution-attenuation factor for the impact to ground water pathway. New Jersey Department of Environmental Protection, Trenton. https://doi.org/10.7282/T3F18ZQH
Ouyang Y, Zhang JE, Cui L (2014) Estimating impacts of land use on groundwater quality using trilinear analysis. Environ Monit Assess 186(9):5353–5362. https://doi.org/10.1007/s10661-014-3784-8
Ravbar N, Goldscheider N (2007) Proposed methodology of vulnerability and contamination risk mapping for the protection of karst aquifers in Slovenia. Acta Carsol 36(3). https://doi.org/10.3986/ac.v36i3.174
Redvan G, Nasim SH (2017) Study on groundwater quality using geographic information system (GIS), case study: Ardabil, Iran. Civil Engi Jl 3(9):779–793. https://doi.org/10.21859/cej-030914
Swaine DJ (2000) Why trace elements are important. Fuel Process Technol 65/66:21–33. https://doi.org/10.1016/s0378-3820(99)00073-9
Vu TMN, Goldscheider N (2006) A simplified methodology for mapping groundwater vulnerability and contamination risk, and its first application in a tropical karst area, Vietnam. Hydrogeol J 14(8):1666–1675. https://doi.org/10.1007/s10040-006-0069-5
Wamelink GWW, van Dobben HF, Goedhart PW et al (2018) The role of abiotic soil parameters as a factor in the success of invasive plant species. Emerg Sci J 2(6):308–365. https://doi.org/10.28991/esj-2018-01155
Wang CY, Liang C, Jing N et al (2016) Comparative analysis on evaluation method for karst groundwater quality. J Eng Heilongjiang Univ 7(1):1–6. https://doi.org/10.13524/j.2095-008x.2016.01.001
Xue Q, Liang B, Liu JJ (2005) Numerical simulation of petroleum components transport in unsaturated zone and its application. J Syst Simul 17(11):2589–2592 (In Chinese). https://doi.org/10.1360/biodiv.050058
Yan H, Zhan J, Liu B, Huang W, Li Z (2014) Spatially explicit assessment of ecosystem resilience: an approach to adapt to climate changes. Adv Meteorol 2014:1–9. https://doi.org/10.1155/2014/798428
Ye YH, Ning LB (2009) Prediction of the migration of oil pollutants in vadose zone-A case study of commercial oil reserve base in Xigu, Lanzhou. Environ Sci Technol 32(11):186–200 (In Chinese). https://doi.org/10.3969/j.issn.1003-6504.2009.11.044
Yue TX, Zhao N, Ramsey RD, Wang CL, Fan ZM, Chen CF, Lu YM, Li BL (2013) Climate change trend in China, with improved accuracy. Clim Chang 120(1-2):137–151. https://doi.org/10.1007/s10584-013-0785-5
Zhang AL, Gao RZ, Zhang S et al (2020) Evaluation using numerous methods of distribution of heavy metals Cr , Hg and As in Jilantai Salt Lake Basin. Acta Pedol Sin 57(1):130–141. https://doi.org/10.11766/trxb201810160364
Zhang DD, Xie YF, Liu XJ (2012) Dynamics of redox environment during natural attenuation of 1, 2-dichloroethane in a laboratory aquifer column. Res Environ Sci 25(12):1398–1403. https://doi.org/10.1007/s11783-011-0280-z
Zhang L, Lu WX, Hou GL et al (2019) Coupled analysis on land use, landscape pattern and nonpoint source pollution loads in Shitoukoumen Reservoir watershed, China. Sustain Cities Soc 51. https://doi.org/10.1016/j.scs.2019.101788
Zhang X, Cao SL, Liu Y et al (2018) Water quality evaluation of drinking water function zone in Jinan with improved Nemerow index method. Sci Technol Eng 18(19):335–340 (In Chinese). https://doi.org/10.3969/j.issn.1671-1815.2018.19.054
Zhao QG, Luo YM, Teng Y (2009) Strategic thinking on soil protection in China. Acta Pedol Sin 46(6):1140–1145 (In Chinese). https://doi.org/10.11766/trxb200907180315
Zhou JM, JIANG ZC, Xu GL (2019) Water quality analysis and health risk assessment for groundwater at Xiangshui, Chongzuo. Environ Sci 40(06):2675–2685. https://doi.org/10.13227/j.hjkx.201810234
Funding
This study was supported by the Key R&D Plan of Shandong Province [grant No. 2017CXGC1608], by Shandong Provincial Graduate Education Quality Improvement Program [grants No.SDYKC17030 and No.KDYC17007], and by the Shandong University of Science and Technology Research Fund [grant No. 2015TDJH101].
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Li, Y., Yang, R., Qu, X. et al. Study on the risk assessment and forewarning model of groundwater pollution. Arab J Geosci 13, 407 (2020). https://doi.org/10.1007/s12517-020-05395-7
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DOI: https://doi.org/10.1007/s12517-020-05395-7