Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the 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 reservo...

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Main Authors: Zaidoon T. Abdulrazzaq, Abdulsalam H. Alnaib
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2023-04-01
Series:International Journal of Built Environment and Sustainability
Subjects:
Online Access:https://ijbes.utm.my/index.php/ijbes/article/view/1043/294
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author Zaidoon T. Abdulrazzaq
Abdulsalam H. Alnaib
author_facet Zaidoon T. Abdulrazzaq
Abdulsalam H. Alnaib
author_sort Zaidoon T. Abdulrazzaq
collection DOAJ
description 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.
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spelling doaj.art-ef958203d10d45cdb6cb37af6d8d99d42023-08-13T03:21:23ZengUniversiti Teknologi MalaysiaInternational Journal of Built Environment and Sustainability2289-89482023-04-011021910.11113/ijbes.v10.n2.1043Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric ParametersZaidoon T. Abdulrazzaq0Abdulsalam H. Alnaib1Directorate of Space and Communications, Ministry of Science and Technology, Baghdad 10070, IraqDirectorate of Space and Communications, Ministry of Science and Technology, Baghdad 10070, IraqSalah 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.https://ijbes.utm.my/index.php/ijbes/article/view/1043/294fuzzy logicgroundwatersuitability modelhydro-geoelectric parameters
spellingShingle Zaidoon T. Abdulrazzaq
Abdulsalam H. Alnaib
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
fuzzy logic
groundwater
suitability model
hydro-geoelectric parameters
title Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
title_full Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
title_fullStr Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
title_full_unstemmed Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
title_short Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
title_sort application of fuzzy logic approach via gis for determining the optimum groundwater wells sites based on the hydro geoelectric parameters
topic fuzzy logic
groundwater
suitability model
hydro-geoelectric parameters
url https://ijbes.utm.my/index.php/ijbes/article/view/1043/294
work_keys_str_mv AT zaidoontabdulrazzaq applicationoffuzzylogicapproachviagisfordeterminingtheoptimumgroundwaterwellssitesbasedonthehydrogeoelectricparameters
AT abdulsalamhalnaib applicationoffuzzylogicapproachviagisfordeterminingtheoptimumgroundwaterwellssitesbasedonthehydrogeoelectricparameters