Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters


  • Zaidoon T. Abdulrazzaq Directorate of Space and Communications, Ministry of Science and Technology, Baghdad 10070, Iraq
  • Abdulsalam H. Alnaib Directorate of Space and Communications, Ministry of Science and Technology, Baghdad 10070, Iraq



Fuzzy Logic, Groundwater, Suitability Model, Hydro-Geoelectric Parameters


Salah Al-Din Governorate, including the study area located in Baiji district, is considered an important agricultural area in Iraq. As these areas have become mainly dependent on ground water. As this led to the depletion of underground water reservoirs, which turned many of the wells into unproductive or poorly productive wells. Therefore, there was a need to re-evaluate the hydraulic properties in the region, and then nominate sites for drilling new wells with high productivity according to the data of this evaluation. Selecting new well sites is becoming an increasingly difficult task. All hydraulic properties and geological factors must be taken into consideration. On the other hand, GIS technology is considered one of the most reliable techniques used in the process of determining the most appropriate sites. All this is done according to the use of algorithms that depend mainly on the importance of each factor and dealing with it as a class within the selection and nomination mechanism. In this study, fuzzy logic was applied through geographic information systems technology to determine the optimum sites for new well drilling with high productivity, based on the analysis of hydro-electrical parameters of the aquifer in the region. The research region was divided into four groups by the findings map: excluded, low suitability, moderate suitability, and high suitability. The area for each suitability category was 172.53, 269.76, 131.89, 127.26 km2 respectively.


Abdulrazzaq, Z., Agbasi, O., Alnaib, A. H., & Asfahani, J. (2022a). Determining the Optimum Drilling Sites for Groundwater Wells Based on the Hydro-Geoelectrical Parameters and Weighted Overlay Approach via GIS in Salah Al-Din Governorate, Central Iraq. Iranian Journal of Geophysics. 16(4): 153-163.

Abdulrazzaq, Z.T. (2011). Application of vertical electrical sounding to delineate and evaluate of aquifers characteristics in Baiji-Tikrit Basin. M.Sc. Thesis, University of Tikrit.

Abdulrazzaq, Z.T., Agbasi, O.E., Aziz, N.A., & Etuk, S.E. (2020b). Identification of potential groundwater locations using geophysical data and fuzzy gamma operator model in Imo, Southeastern Nigeria. Applied Water Science, 10(8): 1-7.‏

Abdulrazzaq, Z.T., Ahmad, M.M., Salih, S.A.,& Asfahani J. (2022b). Hydro-geophysical parameters estimation of porous aquifer using geoelectrical technique-case study taken from baiji-tikrit sub-basin, Iraq. ANAS Transactions Earth Sciences 1: 3–16.

Abdulrazzaq, Z.T., Al-Ansari, N., Aziz, N.A., Agbasi, O.E., & Etuk, S.E. (2020a). Estimation of main aquifer parameters using geoelectric measurements to select the suitable wells locations in Bahr Al-Najaf depression, Iraq. Groundwater for Sustainable Development, 11: 100437.‏

Aladeboyeje, A.I., Coker, J.O., Agbasi O.E., & Inyang, N.J. (2021). Integrated hydrogeophysical assessment of groundwater potential in the Ogun drainage basin, Nigeria. International Journal of Energy and Water Resources, 5(4): 461-475.‏

Al-Ani, A.A. (1997). The optimum investment of groundwater in Fatha-Samarra basin, M.Sc. thesis, college of science, University of Baghdad, 114.

Al-Janabi, M.A. (2008). Hydrochemistry of the unconfined aquifer and the relationship of unsaturated zone sediments on the groundwater quality in Tikrit – Samara basin, Ph.D. thesis, college of science, University of Baghdad, 154p.

Al-Jubouri, N.H. (2011). Hydrogeological conditions of Baiji-Tikrit sub basin, M.Sc. thesis, college of science, University of Tikrit, 164

Aretouyap, Z., Asfahani, J., Abdulrazzaq, Z. T., & Tchato, S. C. (2022). Contribution of the fuzzy algebraic model to the sustainable management of groundwater resources in the Adamawa watershed. Journal of Hydrology: Regional Studies, 43: 101198.

Baidya, P., Chutia, D., Sudhakar, S., Goswami, C., Goswami, J., Saikhom, V., Singh, P.S., Sarma, K.K. (2014). Effectiveness of Fuzzy Overlay Function for Multi-Criteria Spatial Modeling—A Case Study on Preparation of Land Resources Map for Mawsynram Block of East Khasi Hills District of Meghalaya, India. Journal of Geographic Information System, 6: 605-612.

Basi, M.A. & Karim, S.A. (1990). The stage report of the local geological survey, Vol.2, Laboratory Studies.

Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M. (2004). Multi-resolution, object-oriented Fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J Photogramm, 58(3-4): 239-258.

Chan, F., Kumar, N., Tiwar, M., Lau, H., & Choy, K. (2008). Global supplier selection: A fuzzy-AHP approach. International Journal of Production Research. 46: 3825–3857.

Jassim, S.Z, & Goff, J. (2006). Geology of Iraq, Dolin, Prague and Moravian Museum, Brno, 341.

Kirsch, R., & Yaramanci, U. (2009). Geoelectrical methods. In R. Kirsch (Ed.), Groundwater Geophysics: A Tool for Hydrogeology. 85–117. Springer Berlin Heidelberg.

Mallik, S., Mishra, U., Paul, N., (2021). Groundwater suitability analysis for drinking using GIS based fuzzy logic. Ecological Indicators 121: 107179. ecolind.2020.107179

Nakamo, S.J. (2021). Multi-criterial analysis for modelling Matengo/Ngolo pits agro-ecological zones using fuzzy logic in Southern Tanzania. In IOP Conference Series: Earth and Environmental Science 911(1): 012080. IOP Publishing.

Pathak, D.R., & Bhandary, N.P., (2020). Evaluation of groundwater vulnerability to nitrate in shallow aquifer using multi-layer fuzzy inference system within GIS environment. Groundwater for Sustainable Development. 11: 100470.

Shao, Z., Huq, M.E., Cai, B., Altan, O., Li, Y., (2020). Integrated remote sensing and GIS approach using fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province. Environmental Modelling & Software. 134: 104868

Todd, D.K. (1980). Ground water hydrology, second edition, consulting engineering INC. Jhon Wiley and Sons, New York, 535.

Walton, W.C. (1970). Groundwater Resources Evaluation, McGraw-Hill Series in Water Resources and Environmental Engineering, New York, 664.




How to Cite

Abdulrazzaq, Z. T., & Alnaib, A. H. (2023). Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters. International Journal of Built Environment and Sustainability, 10(2), 1–9.