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Assessment of groundwater vulnerability and pollution risk using AVI, SPI, and RGPI indexes: applied to southern Gabes aquifer system, Tunisia

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Abstract

Southern Gabes aquifer is part of coastal Jeffara plain located in southeastern Tunisia. It consists a semi-arid area in which groundwater is the main source to water supply for several socio-economic sectors. Southern Gabes aquifer suffers from excessive abstraction and heavy anthropogenic pressures that make local groundwater resources threatened by pollution risks. This study aims to assess groundwater vulnerability, evaluate, and delineate groundwater risk regions. For this, a 17 water samples were carried out in the study area and chemical compositions were analyzed. A well-known AVI model has been used to assess aquifer vulnerability and new algorithms of sensitivity to pollution index (PSI) and risk groundwater to pollution index (RGPI) were implemented and used to assess, classify, and map groundwater pollution risk. Results reveal that study area suffers from high risk. Forty one percent of the total surface of study area has a very high risk. Nonetheless, only 30% of study area has a low to insignificant risk to pollution which necessitates taking severe precautions to protect the southern Gabes aquifer system. The method used in this study seems giving more precise results compared to conventional approaches. Moreover, this method allows assessing the pollution risk with flexible and reliable algorithm even with limited dataset. Hence, the poor natural protective capacity of study area needs a rapid intervention by local authorities in order to develop proactive solutions to protect and preserve groundwater resources from pollution risks and establish a long-term program for groundwater resources sustainable development.

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Data availability

The datasets used and analyzed during the current study are available from the authors on reasonable request.

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References

  • Abbasi S, Mohammadi K, Kholghi M, Howard K (2013) Aquifer vulnerability assessment using drastic, weights of evidence and the analytic element method. Hydrol Sci J 58(1):186–197. https://doi.org/10.1080/02626667.2012.743027

    Article  Google Scholar 

  • Agoubi B, Dabaghi R, Kharroubi A (2018) A Mamdani adaptive neural fuzzy inference system for improvement of groundwater vulnerability. Groundw J:1–8. https://doi.org/10.1111/gwat.12634

  • Albinet M, Margat J (1971) Mapping of the vulnerability to pollution of groundwater. Groundwater pollution symp. Moscow conference proceedings. August 1971, AISH Publication 103

  • Aller L, Benett T, Lehr JH, Petty RH, Hacket G (1987) DRASTIC standard system for groundwater pollution evaluation using hydrogeologic settings. USEPA Report 600/2- 87/035. Environmental Research Laboratory, Oklahoma

  • Al-Rawabdeh AM, Al-Ansari NA, Al-Taani AA, Al-Khateeb FL, Knutsson S (2014) Modeling of groundwater contamination risk using modified-DRASTIC and GIS in Amman-Zerqa Basin, Jordan. Cent Eur J Eng 4(3):264–280. https://doi.org/10.2478/s13531-013-0163-0

    Article  CAS  Google Scholar 

  • Anornu GK, Kabo-bah AT, Anim-Gyampo M (2012) Groundwater vulnerability evaluation in the River Basin of Densu,Ghana. Am J Hum Ecol 1(3):79–86

    Google Scholar 

  • Aslam RA, Shrestha S, Pandey VP (2018) Groundwater vulnerability to climate change: review of assessment methodologies. Sci Total Environ J 612:853–875. https://doi.org/10.1016/j.scitotenv.2017.08.237

    Article  CAS  Google Scholar 

  • Asmael N, Villanueva JD, Peyraube N, Baalousha M, Huneau F, Dupuy A, Coustumer P (2021) Risk of groundwater pollution: hydrogeology, physicochemical and socioeconomic conditions in southwest of the Damascus Basin, Syria. Water 13:1220. https://doi.org/10.3390/w13091220

    Article  CAS  Google Scholar 

  • Ben Baccar B (1982) Contribution to the hydrogeological study of the multilayer aquifer of Gabes-sud (southern Tunisia). PhD thesis, University of Paris sud, Centre d'Orsay (in french)

  • Bordbar M, Neshat A, Javad S, Pradhan B, Dixon B, Paryani S (2021) Improving the coastal aquifers’ vulnerability assessment using SCMAI ensemble of three machine learning approaches. Nat Hazards. https://doi.org/10.1007/s11069-021-05013-z

    Article  Google Scholar 

  • Bouaziz S (1995) Study of brittle tectonics in the Saharan platform and atlas (southern Tunisia): evolution of constraint and geodynamic implication, PhD thesis, University of Tunis II, 338p

  • Djémin JE, Kouamé JK, Deh KS, Abinan AT, Jourda JP (2016) Contribution of the sensitivity analysis in groundwater vulnerability assessing using the DRASTIC method: application to groundwater in Dabou Region (Southern of Côte d’Ivoire). J Environ Protect 7(1). https://doi.org/10.4236/jep.2016.71012

  • Duda R, Klebert I, Zdechlik R (2020) Risk of groundwater pollution assessment based on pollution and potential impact of land use. Pol J Environ Stud 29(1):87–99. https://doi.org/10.15244/pjoes/104362

    Article  CAS  Google Scholar 

  • Elzain HE, Chung SY, Senapathi V, Sekar S, Lee SY, Roy PD, Hassan A, Sabarathinam C (2022) Comparative study of machine learning models for evaluating groundwater vulnerability to nitrate contamination. Ecotoxicol Environ Saf 229:113061. https://doi.org/10.1016/j.ecoenv.2021.113061

    Article  CAS  Google Scholar 

  • Giraud E, Dorfliger N, Crochet P (2000) RISKE, multi-criteria assessment method for the vulnerability of karst aquifers. Application to the Fontanilles and Cent-Fonts systems (Hérault, South of France). Hydrogeol J 4:71–88

    Google Scholar 

  • Houriet Y (2004) Hydro-geochemical relationships of deep and shallow water tables in the northern Djeffara plain: the case of Gabes-sud, Tunisia. Bull Hydrogéol 21. https://horizon.documentation.ird.fr/exldoc/pleins_textes/divers17-05/010037025.pdf

  • Khodabakhshi N, Heidarzadeh N, Asadollahfardi G (2017) Vulnerability assessment of an aquifer using modified GIS-based DRASTIC methods. J AWWA 109:5. https://doi.org/10.5942/jawwa.2017.109.0039

    Article  Google Scholar 

  • Kumar P, Kumar Thakur P, Bansod BKS, Debnath SK (2018) Groundwater: a regional resource and regional governance. Environ Dev Sustain 20:1133–1151. https://doi.org/10.1007/s10668-017-9931-y

    Article  Google Scholar 

  • Kumar P, Thakur PK, Debnath SK (2020) Groundwater vulnerability assessment and mapping using DRASTIC model. International Standard Book Number-13: 978–0–367–25446–9. CRC Press, Taylor & Francis Group. https://www.researchgate.net/publication/334412318_Groundwater_Vulnerability_Assessment_and_Mapping_Using_DRASTIC_Model

  • Li PN, Li X, Meng X, Li M, Zhang Y (2016) Appraising of groundwater quality and risks health in a semi-arid region of Northwest China. Health 8:361–379

    CAS  Google Scholar 

  • Li P, He S, He X, Tian R (2018) Seasonal characterization of groundwater quality based on matter element extension analysis in a paper wastewater irrigation area, northwest China. Expo Health 2018(10):241–258

    Article  Google Scholar 

  • Luoma S, Okkonen J, Korkka-Niemi K (2017) Comparison of the AVI, SINTACS and GALDIT methods under future climate-change scenarios, for a shallow low-lying coastal aquifer, southern Finland. Hydrogeol J 25:203–222. https://doi.org/10.1007/s10040-016-1471-2

    Article  CAS  Google Scholar 

  • Machdar I, Zulfikar T, Rinaldi W, Alfiansyah Y (2018) Assessment of groundwater vulnerability using DRASTIC and GIS : a case of two sub-districts in Banda Aceh city, Indonesia. IOP Conf 334:012032. https://doi.org/10.1088/1757-899X/334/1/012032

    Article  Google Scholar 

  • Mamou A (1990) Characteristics and management of water resources, southern Tunisia. PhD thesis of Sciences, University of Paris-sud, France (in French)

  • Margat J (1968) Vulnerabilite des nappes d’eau souterrune a la pollution (Groundwater Vulnerability to Contamination). Bases de al cartographie, 68 SGC 198HYD, BRGM, Orleans (in French)

  • Moraru C, Hannigan R (2018) Overview of groundwater vulnerability assessment methods. In: Analysis of Hydrogeochemical Vulnerability. Springer Hydrogeology. Springer, Cham. https://doi.org/10.1007/978-3-319-70960-4_1

  • Oke SA (2017) An overview of aquifer vulnerability, in aquifers. In: Bailey H (ed) Aquifer: properties, roles and research. Nova Science Publisher, pp 1–56. https://www.novapublishers.com/catalog/product_info.php?products_id=61328

  • Rao NS (2012) PIG: a numerical index for dissemination of groundwater contamination zones. Hydrol Process 26:3344–3350. https://doi.org/10.1002/hyp.8456

    Article  CAS  Google Scholar 

  • Rouatbi R (1967) Contribution to the hydrogeological study of the buried karst of Gabes-sud. PhD thesis, University of Montpellier, Faculty of sciences (in French)

  • Shouyu C, Guangtao F (2003) DRASTIC based fuzzy pattern methodology for groundwater vulnerability evaluation. Hydrol Sci J 48(2):211–220. https://doi.org/10.1623/hysj.48.2.211.44700

    Article  Google Scholar 

  • Sinan M, Maslouhi R, Razak M (2003) Use of GIS for the characterization of the vulnerability and sensitivity to pollution of groundwater tables. Application to the Haouz water table in Marrakech, Morocco. Regional Conference (FIG), Marrakech, Morocco, December 2–5, 2003

  • Singh PK, Verma P, Tiwar AK, Sharma S, Purty P (2015) Review contamination approaches index to groundwater quality assessment with geographic information system (GIS). Int J ChemTech Res 7(4):1920–1929

    Google Scholar 

  • Uricchio VF, Giordano R, Lopez NA (2004) Fuzzy based decision system for groundwater risk assessment. J Environ Manag 2004(73):189–197

    Article  Google Scholar 

  • US (2018) Sustainable Development Goal 6 Synthesis Report on water and aanitation. United Nations Publications. 199p. ISBN: 978–92–1–101370–2 eISBN: 978–92–1–362674–0. https://sustainabledevelopment.un.org/content/documents/19901SDG6_SR2018_web_3.pdf. Access date January 14, 2022

  • Van Stempvoort D, Ewert L, Wassenaar L (1993) AVI: a GIS-compatible method for groundwater vulnerability mapping. Can Water Resour J 18(1):25–37. https://doi.org/10.4296/cwrj1801025

    Article  Google Scholar 

  • Wegahita NK, Ma L, Liu J, Huang T, Luo Q, Qian J (2020) Groundwater quality assessment and health risk of nitrogen pollution for shallow groundwater aquifer around Fuyang City China. Water 12:3341. https://doi.org/10.3390/w12123341

    Article  CAS  Google Scholar 

  • Zhang Q, Yang X, Zhang Y, Zhong M (2013) Risk assessment of groundwater contamination: a fuzzy evaluation approach based on DRASTIC. Sci World J:610390, 9 p. https://doi.org/10.1155/2013/610390

  • Zwahlen FC (2004) Vulnerability and risk mapping for the protection of carbonate (karst) aquifers. European Official Publications Communities, Luxembourg

    Google Scholar 

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The authors significantly contributed in preparing, writing, and revising the manuscript. MA: sampled water, dada collect and analysis, conceptualization, writing the original draft, and formal analysis. BA: resources and writing-review and editing.

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Correspondence to Belgacem Agoubi.

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Atoui, M., Agoubi, B. Assessment of groundwater vulnerability and pollution risk using AVI, SPI, and RGPI indexes: applied to southern Gabes aquifer system, Tunisia. Environ Sci Pollut Res 29, 50881–50894 (2022). https://doi.org/10.1007/s11356-022-19309-5

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