1. Abunada, Z., Kishawi, Y., Alslaibi, T. M., Kaheil, N. & Mittelstet, A. (2021). The application of SWAT-GIS tool to improve the recharge factor in the DRASTIC framework: Case study. Journal of Hydrology, 592, [125613]. DOI:10.1016/j.jhydrol.2020.125613
2. ANRH. (2018). Données des fiches techniques des forages de la Wilaya de Ouargla.
3. ANRH. (2022). Inventaire des forages de la Wilaya de Ouargla.
4. Awawdeh, M., Al-Kharabsheh, N., Obeidat M. & Awawdeh, M. (2020) Groundwater vulnerability assessment using modified SINTACS model in Wadi Shueib, Jordan, Annals of GIS, 26:4, 377-394. DOI:10.1080/19475683.2020.1773535
5. Bera, A., Mukhopadhyay, B. P., Chowdhury, P., Ghosh, A. & Biswas, S. (2021). Groundwa-ter vulnerability assessment using GIS-based DRASTIC model in Nangasai River Basin, India with special emphasis on agricultural contamination. Ecotoxicology and Environmental Safety, 214, 112085. DOI:10.1016/j.ecoenv.2021.112085
6. Chakraborty, B., Roy, S., Bera, A., Adhikary, P. P., Bera, B., Sengupta, D., Bhunia, G. S. & Shit, P. K. (2022). Groundwater vulnerability assessment using GIS-based DRASTIC model in the upper catchment of Dwarakeshwar river basin, West Bengal, India. Environmental Earth Sciences, 81,1, pp.1–15. DOI:10.1007/s12665-021-10002-3
7. Charikh, M., Slimani, R., Hamdi-aïssa, B., Bouadjila, O. & Hassaine, A. (2022). Evaluation of Arid Soil Landscapes Permeability in Algerian Sahara. Al-Qadisiyah Journal for Agricul-ture Sciences (QJAS), 12,2, pp. 12–18. DOI:10.33794/qjas.2022.134247.1050
8. El Baba, M. & Kayastha, P. (2022). Groundwater vulnerability, water quality, and risk assessment in a semi-arid region: a case study from the Dier al-Balah Governorate, Gaza Strip. Modeling Earth Systems and Environment, pp.1–16. DOI:10.3390/w12010262
9. Elzain, H. E., Chung, S. Y., Senapathi, V., Sekar, S., Lee, S. Y., Roy, P. D., Hassan, A. & Sabarathinam, C. (2022). Comparative study of machine learning models for evaluating groundwater vulnerability to nitrate contamination. Ecotoxicology and Environmental Safety, 229, 113061. DOI:10.1016/j.ecoenv.2021.113061
10. Fannakh, A. & Farsang, A. (2022). DRASTIC, GOD, and SI approaches for assessing groundwater vulnerability to pollution: a review. Environ Sci Eur 34, 77. DOI:10.1186/s12302-022-00646-8
11. Gao, Y.Y., Qian, H., Zhou, Y.H., Chen, J. Wang, H.K., Ren, W.H. & Qu, W.G. (2022). Cumulative health risk assessment of multiple chemicals in groundwater based on determinis-tic and Monte Carlo models in a large semiarid basin. J. Clean. Prod., 352. DOI:10.1016/j.jclepro.2022.131567.
12. Gharekhani, M., Nadiri, A. A., Khatibi, R., Sadeghfam, S. & Moghaddam, A. A. (2022). A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA). Journal of Environmental Management, 303, 114168. DOI:10.1016/j.jenvman.2021.114168
13. Goyal, D., Haritash, A. K. & Singh, S. K. (2021). A comprehensive review of groundwater vulnerability assessment using index-based, modelling, and coupling methods. Journal of Environmental Management, 296, 113161. DOI:10.1016/j.jenvman.2021.113161
14. Griffel, L. M., Toba, A-L., Paudel, R., Lin, Y., Hartley D. S. & Langholtz, M. (2022). A multi-criteria land suitability assessment of field allocation decisions for switchgrass, I, 136, 108617. DOI:10.1016/j.ecolind.2022.108617.
15. Hamdi-Aïssa, B., & Girard, M.-C. (2000). Utilisation de la télédétection en régions sahariennes, pour l’analyse et l’extrapolation spatiale des pédopaysages. Science et Changements Planétaires/Sécheresse, 11,3, pp. 179–188.
16. Hamza, M.H. & Chmit, M. (2022). "GIS-Based Planning and Web/3D Web GIS Applications for the Analysis and Management of MV/LV Electrical Networks (A Case Study in Tuni-sia)" Applied Sciences 12, no. 5: 2554. DOI:10.3390/app12052554
17. Kirlas, M.C., Karpouzos, D.Κ., Georgiou, P.E. & Katsifarakis, K. L. (2022). A comparative study of groundwater vulnerability methods in a porous aquifer in Greece. Appl Water Sci 12, 123.DOI:10.1007/s13201-022-01651-1.
18. Qian, H. Chen, J. & Howard, K. W.F. (2020). Assessing groundwater pollution and potential remediation processes in a multi-layer aquifer system. Environ. Pollut., 263. DOI:10.1016/j.envpol.2020.114669.
19. Saranya, T. & Saravanan, S. (2022). Assessment of groundwater vulnerability using analytical hierarchy process and evidential belief function with DRASTIC parameters, Cuddalore, India. Int. J. Environ. Sci. Technol. DOI:10.1007/s13762-022-03944-z
20. Sarkar, M. & Pal, S.C. (2021). Application of DRASTIC and Modified DRASTIC Models for Model-ing Groundwater Vulnerability of Malda District in West Bengal. J Indian Soc Remote Sens, 49, pp. 1201–1219. DOI:10.1007/s12524-020-01176-7
21. Slimani, R, & Guendouz, A. (2015). Groundwater vulnerability and risk mapping for the Phreatic aquifer in the Ouargla Oasis of Algerian Sahara using GIS and GOD method. Inter-national Journal of AgriculturalScience and Research (IJASR). ISSN(P): 2250-0057; ISSN(E): 2321-0087. Vol. 5, Issue 3, Jun 2015, pp. 149-158 © TJPRC Pvt. Ltd.
22. Slimani, Rabia, Guendouz, A., Trolard, F., Moulla, A. S., Hamdi-Aïssa, B. & Bourrié, G. (2017). Identification of dominant hydrogeochemical processes for groundwaters in the Alge-rian Sahara supported by inverse modeling of chemical and isotopic data. Hydrology and Earth System Sciences, 21, 3, pp.1669–1691. DOI:10.5194/hess-21-1669-2017, 2017.
23. Stigter, T. Y., Ribeiro, L., & Dill, A. M. M. C. (2006). Application of a groundwater quality index as an assessment and communication tool in agro-environmental policies–Two Portu-guese case studies. Journal of Hydrology, 327, 3–4, pp. 578–591. DOI:10.1016/j.jhydrol.2005.12.001
24. UNESCO. (2020). Rapport mondial des Nations Unies sur la mise en valeur des ressources en eau 2020: l’eau et les changements climatiques. UNESCO. https://unesdoc.unesco.org/notice?id=p::usmarcdef_0000372941
25. United Nations. (2022). The United Nations World Water Development Report 2022: groundwater: making the invisible visible. UNESCO. https://unesdoc.unesco.org/notice?id=p::usmarcdef_0000380721.
26. Zhang, Q., Qian, H., Xu, P., Li, W., Feng, W., & Liu, R. (2021). Effect of hydrogeological conditions on groundwater nitrate pollution and human health risk assessment of nitrate in Jiaokou Irrigation District. Journal of Cleaner Production, 298, 126783. DOI:10.1016/j.jclepro.2021.126783.

Abstracting & Indexing

Archives of Environmental Protection is covered by the following services:

AGRICOLA (National Agricultural Library)

Arianta

Baidu

BazTech

BIOSIS Citation Index

CABI

CAS

DOAJ

EBSCO

Engineering Village

GeoRef

Google Scholar

Index Copernicus

Journal Citation Reports™

Journal TOCs

KESLI-NDSL

Naviga

ProQuest

SCOPUS

Reaxys

Ulrich's Periodicals Directory

WorldCat

Web of Science