Skip to main content

Advertisement

Log in

A process-based method for assessing confined aquifer vulnerability to pollutants in Jining, China

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

Many shallow aquifers in north China are seriously polluted and cannot be used any more. Therefore, the confined groundwater exploitation is steadily increasing. With the rapid decline of confined groundwater head, the risk of confined aquifer contamination by leaky recharge from shallow aquifer is significantly increased. In this paper, the cumulated time that the pollutant concentration at the top of confined aquifer exceeds the highest allowable limit is defined as the confined aquifer vulnerability indicator. This process-based indicator is used to assess the confined aquifer vulnerability of Jining, China. In order to obtain confined aquifer vulnerability indicator, three-dimensional numerical simulation models of groundwater flow and solute transport are established by MODFLOW and MT3D respectively. Calibration and verification results, with correlation coefficient of 0.98 and 0.8, confirmed the reliability of numerical models which is then used to calculate the vulnerability indicator. Assessment results show that the confined aquifer in Shizhong District is the most vulnerable to pollutants and should be given more attention. As an alternative, the central and east part of the study area has the potential for exploitation. Further analysis reveals that both water head pressure difference and aquitard thickness have an important impact on the aquifer vulnerability. The vulnerability assessment map obtained by GIS shows the most vulnerable area is where the pollutant concentration increases most. Our proposed method provides the basis for confined groundwater environmental protection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  • Alam F, Umar R, Ahmed S, Dar FA (2014) A new model (DRASTIC-LU) for evaluating groundwater vulnerability in parts of central Ganga Plain, India. Arab J Geosci 7(3):927–937

    Article  Google Scholar 

  • Albinet M, Margat J (1970) Cartographie de la vulnérabilité à la pollution des nappes d’eau souterraine. Bull BRGM (Paris) 2:13–22

    Google Scholar 

  • Aller L, Bennet T, Lehr HJ, Petty JR, Hackett G (1987) DRASTIC: a standardized system for evaluating ground water pollution potential using hydrogeologic settings. In: Ada OK, Robert S (eds) Kerr Environmental Research Laboratory, US Environmental Protection Agency Report EPA-600/2-87-035 pp 622

  • Barzegar R, Moghaddam AA, Norallahi S, Inam A, Adamowski J, Alizadeh MR, Nassar JB (2020) Modification of the DRASTIC framework for mapping groundwater vulnerability zones. Ground Water 58:441–452

    Article  Google Scholar 

  • Brosig K, Geyer T, Subah A, Sauter M (2008) Travel time based approach for the assessment of vulnerability of karst groundwater: the transit time method. Environ Geol 54:905–911

    Article  Google Scholar 

  • Brouyere S, Jeannin PY, Dassargues A, Goldscheider N, Popescu IC, Sauter M, Vadillo I, Zwahlen F (2001) Evaluation and validation of vulnerability concepts using a physically based approach. 7th conference on limestone, hydrology and fissured media, Besançon, pp 67–72

    Google Scholar 

  • Busico G, Kazakis N, Colombani N, Mastrocicco M, Voudouris K, Tedesco D (2017) A modified SINTACS method for groundwater vulnerability and pollution risk assessment in highly anthropized regions based on NO3- and SO42- concentrations. Sci Total Environ 609:1512–1523

    Article  Google Scholar 

  • Civita M (1994) Le carte della vulnerabilità degli acquiferiall inquinamento. Teoria and practica (aquifer vulnerability maps to pollution), Pitagora

    Google Scholar 

  • Connell LD, Daele G (2003) A quantitative approach to aquifer vulnerability mapping. J Hydrol 276:71–88

    Article  Google Scholar 

  • Cui LH, Cheng JM, Lu WL, Li MM (2014) Numerical study on saltwater downward migration in aquitardas low velocity non-Darcy flow. J Hydraul Eng 45(7):875–882 (in Chinese)

    Google Scholar 

  • Daly D, Drew D (1999) Irish methodologies for karst aquifer protection. In: Beek B (ed) Hydrogeology and engineering geology of sinkholes and karst. Balkema, Rotterdam, pp 267–272

    Google Scholar 

  • Doerfliger N, Jeannin PY, Zwahlen F (1999) Water vulnerability assessment in karst environments: a new method of defining protection areas using a multiattribute approach and GIS tools (EPIK method). Environ Geol 39:165–176

    Article  Google Scholar 

  • Fei YH, Zhang ZJ, Song HB, Qian Y, Chen JS, Meng SH (2009) Discussion of vertical variations of saline groundwater and mechanism in North China Plain. Water Res Protect 25(6):21–23 (in Chinese)

    Google Scholar 

  • Foster SSD (1987) Fundamental concepts in aquifer vulnerability, pollution risk and protection strategy. In: van Duijvenbooden W, van Waegeningh HG (eds) TNO Committee on Hydrological Research, The Hague. Vulnerability of soil and groundwater to pollutants, Proc Inf 38: 69-86

  • Gemitzi A, Petalas C, Tsihrintzis V, Pisinaras V (2006) Assessment of groundwater vulnerability to pollution: a combination of GIS, fuzzy logic and decision making techniques. Environ Geol 49:653–673

    Article  Google Scholar 

  • Gogu RC, Dassargues A (2000) Current trends and future challenges in groundwater vulnerability assessment using overlay and index methods. Environ Geol 39:549–559

    Article  Google Scholar 

  • Gogu RC, Hallet V, Dassargues A (2003) Comparison of aquifer vulnerability assessment techniques. application to the Néblon river basin (Belgium). Environ Geol 44:881–892

    Article  Google Scholar 

  • Harbaugh AW, McDonald MG (1996) User’s documentation for MODFLOW-96, an update to the U.S. Geological Survey modular finite-difference groundwater flow model. Open file report 96-485, United States Geological Survey

  • Hernandez-Espriu A, Reyna-Gutierrez JA, Sanchez-Leon E, Cabral-Cano E, Carrera-Hernandez J, Martinez-Santos P, Macias-Medrano S, Falorni G, Colombo D (2014) The DRASTIC-Sg model: an extension to the DRASTIC approach for mapping groundwater vulnerability in aquifers subject to differential land subsidence, with application to Mexico City. Hydrogeol J 22(6):1469–1485

    Article  Google Scholar 

  • Huan H, Wang JS, Teng YG (2012) Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China. Sci Total Environ 440:14–23

    Article  Google Scholar 

  • Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development—an approach. Int J Remote Sens 24:993–1008

    Article  Google Scholar 

  • Jalali M, Karami S, Marj AF (2016) Geostatistical evaluation of spatial variation related to groundwater quality database: case study for Arak plain aquifer, Iran. Environ Model Assess 21(6):707–719

    Article  Google Scholar 

  • Javadi S, Kavehkar N, Mousavizadeh MH, Mohammadi K (2011) Modification of DRASTIC model to map groundwater vulnerability to pollution using nitrate measurements in agricultural areas. J Agr Sci Tech-Iran 13(2):239–249

    Google Scholar 

  • Jhariya DC, Kumar T, Pandey HK, Kumar S, Kumar D, Gautam AK, Baghel VS, Kishore N (2019) Assessment of groundwater vulnerability to pollution by modified DRASTIC model and analytic hierarchy process. Environ Earth Sci 78:610

    Article  Google Scholar 

  • Jia Z, Bian JM, Wang Y, Wan HL, Sun XQ, Li Q (2019) Assessment and validation of groundwater vulnerability to nitrate in porous aquifers based on a DRASTIC method modified by projection pursuit dynamic clustering model. J Contam Hydrol 226:UNSP 103522

    Article  Google Scholar 

  • Kaliraj S, Chandrasekar N, Peter TS, Selvakumar S, Magesh NS (2014) Mapping of coastal aquifer vulnerable zone in the south west coast of Kanyakumari, South India, using GIS-based DRASTIC model. Environ Monit Assess 187:4073

    Article  Google Scholar 

  • Karan SK, Samadder SR, Singh V (2018) Groundwater vulnerability assessment in degraded coal mining areas using the AHP-Modified DRASTIC model. Land Degrad Dev 29(8):2351–2365

    Article  Google Scholar 

  • Kazakis N, Voudouris KS (2015) Groundwater vulnerability and pollution risk assessment of porous aquifers to nitrate: Modifying the DRASTIC method using quantitative parameters. J Hydrol 525:13–25

    Article  Google Scholar 

  • Lasserre F, Razack M, Banton O (1999) A GIS-linked model for assessment of nitrate contamination in groundwater. J Hydrol 224:81–90

    Article  Google Scholar 

  • Neshat A, Pradhan B, Pirasteh S, Shafri HZM (2014) Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran. Environ Earth Sci 71(7):3119–3131

    Article  Google Scholar 

  • Neukum C, Azzam R (2009) Quantitative assessment of intrinsic groundwater vulnerability to contamination using numerical simulations. Sci Total Environ 408:245–254

    Article  Google Scholar 

  • Ong’or BTI, Shu LC (2009) Groundwater overdraft and the impact of artificial recharge on groundwater quality in a cone of depression, Jining, China. Water Int 34(4):468–483

    Article  Google Scholar 

  • Ong’or BTI, Shu LC, Liu PG (2007) Environmental impact assessment of risk associated with groundwater overdraft remediation in cone of depression, Jining, China. Environ Geol 53:751–762

    Article  Google Scholar 

  • Piscopo G (2001) Groundwater vulnerability map explanatory notes-Castlereagh catchment. Australia NSW Department of Land and Water Conservation, Parramatta

    Google Scholar 

  • Pisinaras V, Polychronis C, Gemitzi A (2016) Intrinsic groundwater vulnerability determination at the aquifer scale: a methodology coupling travel time estimation and rating methods. Environ Earth Sci 75:85

    Article  Google Scholar 

  • Popescu IC, Brouyere S, Dassargues A (2019) The APSU method for process-based groundwater vulnerability assessment. Hydrogeol J 27:2563–2579

    Article  Google Scholar 

  • Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28:32–53

    Article  Google Scholar 

  • Rajput H, Goyal R, Brighu U (2020) Modification and optimization of DRASTIC model for groundwater vulnerability and contamination risk assessment for Bhiwadi region of Rajasthan, India. Environ Earth Sci 79:136

    Article  Google Scholar 

  • Ray IA, Odell PW (1993) DIVERSITY: a new method for evaluating sensitivity of groundwater to contamination. Environ Geol 22:344–352

    Article  Google Scholar 

  • Saida S, Tarik H, Abdellah A, Farid H, Hakim B (2017) Assessment of groundwater vulnerability to nitrate based on the optimised DRASTIC models in the GIS environment (Case of Sidi Rached Basin, Algeria). Geosciences 7:20

    Article  Google Scholar 

  • Sener E, Davraz A (2012) Assessment of groundwater vulnerability based on a modified DRASTIC model, GIS and an analytic hierarchy process (AHP) method: the case of Egirdir Lake basin (Isparta, Turkey) Evaluation de la vulnérabilité de l’eau souterraine basée sur un modèle DRASTIC. Hydrogeol J 21:701–714

    Article  Google Scholar 

  • Shu LC, Liu PG, Ong’or BTI (2008) Environmental impact assessment using FORM and groundwater system reliability concept: case study Jining, China. Environ Geol 55:661–667

    Article  Google Scholar 

  • Singh A, Srivastav SK, Kumar S, Chakrapani GJ (2015) A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India. Environ Earth Sci 74(7):5475–5490

    Article  Google Scholar 

  • Singha SS, Pasupuleti S, Singha S, Singh R, Venkatesh AS (2019) A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India. Environ Earth Sci 78:628

    Article  Google Scholar 

  • Sinha MK, Verma MK, Ahmad I, Baier K, Jha R, Azzam R (2016) Assessment of groundwater vulnerability using modified DRASTIC model in Kharun Basin, Chhattisgarh, India. Arab J Geosci 9(2):98

    Article  Google Scholar 

  • Tesoriero AJ, Voss FD (1997) Predicting the probability of elevated nitrate concentrations in the Puget Sound Basin: implications for aquifer susceptibility and vulnerability. Ground Water 35:1029–1039

    Article  Google Scholar 

  • Stempvoort V, Ewert L, Wassenaar L (1993) Aquifer vulnerability index: GIS compatible method for groundwater vulnerability mapping. Can Water Resour 18:25–37

    Article  Google Scholar 

  • Voigt HJ, Heinkele T, Wolter R (2004) Characterization of groundwater vulnerability in Germany. Groundwater vulnerability assessment and mapping. International Conference, Ustron, p 141

    Google Scholar 

  • Vu TD, Ni CF, Li WC, Truong MH (2019) Modified Index-Overlay method to assess spatial-temporal variations of groundwater vulnerability and groundwater contamination risk in areas with variable activities of agriculture developments. Water 11:2492

    Article  Google Scholar 

  • Witkowski AJ, Kowalczk A (2004) A simplified method of regional groundwater vulnerability assessment. Groundwater vulnerability assessment and mapping. International Conference, Ustron, pp 150–151

    Google Scholar 

  • Wu WY, Yin SY, Liu HL, Chen HH (2014) Groundwater vulnerability assessment and feasibility mapping under reclaimed water irrigation by a modified DRASTIC model. Water Resour Manag 28(5):1219–1234

    Article  Google Scholar 

  • Wu XY (2006) Vulnerability assessment of groundwater quality with GIS in Jining city. Master’s degree dissertation., Hohai University, Nanjing, China.

  • Yang J, Tang ZH, Jiao T, Muhammad AM (2017) Combining AHP and genetic algorithms approaches to modify DRASTIC model to assess groundwater vulnerability: a case study from Jianghan Plain, China. Environ Earth Sci 76(12):426

    Article  Google Scholar 

  • Yu C, Yao YY, Hayes G, Zhang BX, Zheng CM (2010) Quantitative assessment of groundwater vulnerability using index system and transport simulation, Huangshuihe catchment, China. Sci Total Environ 408:6108–6116

    Article  Google Scholar 

  • Zheng C (1990) MT3D, a modular three-dimensional transport model for simulation of advection, dispersion, and chemical reactions in groundwater systems. Report to the U.S. Environmental Protect. Agency, Ada

    Google Scholar 

Download references

Funding

This study is funded by the National Natural Science Foundation of China (51979252) and the Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) (CUGCJ1822).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianmeng Meng.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Responsible Editor: Broder J. Merkel

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Meng, X., Zhu, Y., Liu, D. et al. A process-based method for assessing confined aquifer vulnerability to pollutants in Jining, China. Arab J Geosci 14, 1305 (2021). https://doi.org/10.1007/s12517-021-07665-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-021-07665-4

Keywords

Navigation