Application of Multi-Criteria Decision Analysis to Geoelectric and Geologic Parameters for Spatial Prediction of Groundwater Resources Potential and Aquifer Evaluation

Adiat, K.A.N.; Nawawi, Mohd; Abdullah, K.

doi:10.1007/s00024-012-0501-9

Cited by 44 publications

(26 citation statements)

References 50 publications

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“…This condition results in a ratio of importance for each pair with the maximum difference of having one factor that is nine times more important than the other (Table 3). Based on expert opinions obtained from previous reports coupled with intuitive knowledge of the researchers on the APPCF characteristics in the area (discussed in section 3.6.1), the Saaty scale standard and the Kardi (2006) technique as used by Adiat et al (2013), the pair-wise comparison matrix for the selected aquifer hydraulic parameters shown in Table 3 was developed. Table 3 was solved to determine the aquifer hydraulic parameter weights by computing the sum of the value in each column in the table, using the total number of columns to divide each element in the matrix to produce the normalized matrix in Table 4.…”

Section: Ahp-mcda Methods and Its Applicability In Groundwater Potentimentioning

confidence: 99%

“…Consequently, the Tr parameter was considered as the most significant parameter because the investigated area is underlain with aquifer formation with relative thick overburden as reflected in the higher TR values characterizing the area. Accordingly, for Tr and TR, a direct relation established in the area implies good groundwater potential (Adiat et al 2013). The hydraulic conductivity parameter, on the other hand, is considered as the next rated factor because the observed resistivity properties of the delineated aquifer formation in the area highly suggested a saturated formation (97 -600 Ωm, column 6 of Table 2), which indicates good groundwater potential in the area.…”

Section: Assessment Of Appcfs Hydrological Significancementioning

confidence: 99%

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Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

Mogaji¹,

Lim²

2017

Terr. Atmos. Ocean. Sci.

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This study conducted a robust analysis on acquired 2D resistivity imaging data and borehole pumping test records to optimize groundwater potentiality mapping in Perak province, Malaysia using derived aquifer hydraulic properties. The transverse resistance (TR) parameter was determined from the interpreted 2D resistivity imaging data by applying the Dar-Zarrouk parameter equation. Linear regression and GIS techniques were used to regress the estimated values for TR parameters with the aquifer transmissivity values extracted from the geospatially produced BPT recordsbased aquifer transmissivity map to develop the aquifer transmissivity parameter predictive (ATPP) model. The reliability evaluated ATPP model using the Theil inequality coefficient measurement approach was used to establish geoelectrical-based hydraulic parameters (GHP) modeling equations for the modeling of transmissivity (Tr), hydraulic conductivity (K), storativity (St), and hydraulic diffusivity (D) properties. The applied GHP modeling equation results to the delineated aquifer media was used to produce aquifer potential conditioning factor maps for Tr, K, St, and D. The maps were modeled to develop an aquifer potential mapping index (APMI) model via applying the multi-criteria decision analysis-analytic hierarchy process principle. The area groundwater reservoir productivity potential model map produced based on the processed APMI model estimates in the GIS environment was found to be 71% accurate. This study establishes a good alternative approach to determine aquifer hydraulic parameters even in areas where pumping test information is unavailable using a cost effective geophysical data. The produced map can be explored for hydrological decision making.

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Section: Ahp-mcda Methods and Its Applicability In Groundwater Potentimentioning

confidence: 99%

Section: Assessment Of Appcfs Hydrological Significancementioning

confidence: 99%

Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

Mogaji¹,

Lim²

2017

Terr. Atmos. Ocean. Sci.

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“…Therefore, GIS-based MCDA technique that efficiently combines multiple hydrological data to produce a reliable decision model is an effective tool to enhance the suitability analysis in an area of interest. Several researchers have used remote sensing and GIS-based MCDA in groundwater studies with effective results [21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Groundwater Aquifer Suitability for Irrigation Purposes Using Multi-Criteria Decision Approach in Salah Al-Din Governorate/Iraq

Alwan

Karim

Aziz³

2019

AgriEngineering

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In this study, GIS-based Multi-Criteria Decision Approach (MCDA) is used to identify suitable locations to use groundwater for irrigation purposes in Salah-Al-Din Governorate, 180 km to the North of Baghdad, capital of Iraq republic. Various criteria are adopted including Electrical Conductivity (EC), Power of Hydrogen (pH), Sodium percentage (Na%), Sodium Adsorption Ratio (SAR), Magnesium Adsorption Ratio (MAR), Kelly's Ratio (KR), climate factor, aquifer thickness, and aquifer elevation. Three datasets are integrated to produce the suitability model, including geophysical data, groundwater wells data and satellite-based climate data. The criteria layers are assessed using the multi-criteria decision approach by combining them together using the weighted overlay function in ArcGIS 10.5. Appropriate weights assigned and integrated into GIS to create the groundwater suitability map for irrigation. Finally, the suitability of the study area for irrigation purposes with its percent to the total area is classified into three classes according to the set criteria used for this purpose: high suitability (35.41%), low suitability (44.22%), and unsuitable/excluded (20.37%). 304 leads to the logical expectation of declination of the Euphrates and Tigris output by 2025 to 50% and 25% respectively [3]. This problem coincides with a significant rise in Iraq's population, increasing water demand, inadequate infrastructure to maintain quality of life and lack of scientific planning for water resources management. Another serious factor in this regard is that the Middle East region (including Iraq) is one of the most vulnerable world regions to the potential impact of climate change (less precipitation, higher transpiration, sea level rise, and drought). According to these facts, the peak water supply in Iraq does not meet the needs, and this problem gets worse with time as the increasing population, the climate change, and unpredictable weather increase water demands largely. The consequences are many, which include a negative impact on agriculture, industry, tourism, and energy sectors resulting in increasing unemployment rates, poverty, food insecurity, and malnutrition.In recent times, there has been a worldwide conviction that groundwater is one of the most important natural water supply resources. When compared with surface water, it has a number of fundamental advantages: it is of higher quality, better protected from possible pollution, less subjected to seasonal and perennial fluctuations, and much more uniformly spread over large regions than surface water. Additionally, groundwater could be available in places where the surface water is scarce. The importance of groundwater as one of the substantial natural resources is accentuated in countries with arid and semiarid climates, where it is widely used for irrigation as in the countries of the Arab region with desert climate [4], these countries started to focus on groundwater resources due to water scarcity and pollution problems [5]. In the times of water scarcity...

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“…groundwater potentiality conditioning factors (GPCFs) often served as input indices synthesized for groundwater potentiality zones prediction in the investigated areas (Adiat et al, 2012;Jha et al, 2010). To mention few of the commonly used GPCFs input indices are lithology, drainage pattern, lineament density, soil and topographic slope, geoelectrical parameters (lithology layer's resistivity and thickness) etc (Akinlalu et al, 2017;Mogaji and Lim, 2016;Adiat et al, 2013). The combination of those used GPCFs for the potential zones modeling was effectively carried out through exploring the potential of the MCDA -AHP systemic approach.…”

Section: Introductionmentioning

confidence: 99%

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

Mogaji

Omobude

2017

NRIAG Journal of Astronomy and Geophysics

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Modeling of groundwater potentiality zones is a vital scheme for effective management of groundwater resources. This study developed a new multi-criteria decision making algorithm for groundwater potentiality modeling through modifying the standard GOD model. The developed model christened as GODT model was applied to assess groundwater potential in a multi-faceted crystalline geologic terrain, southwestern, Nigeria using the derived four unify groundwater potential conditioning factors namely: Groundwater hydraulic confinement (G), aquifer Overlying strata resistivity (O), Depth to water table (D) and Thickness of aquifer (T) from the interpreted geophysical data acquired in the area. With the developed model algorithm, the GIS-based produced G, O, D and T maps were synthesized to estimate groundwater potential index (GWPI) values for the area. The estimated GWPI values were processed in GIS environment to produce groundwater potential prediction index (GPPI) map which demarcate the area into four potential zones. The produced GODT model-based GPPI map was validated through application of both correlation technique and spatial attribute comparative scheme (SACS). The performance of the GODT model was compared with that of the standard analytic hierarchy process (AHP) model. The correlation technique results established 89% regression coefficients for the GODT modeling algorithm compared with 84% for the AHP model. On the other hand, the SACS validation results for the GODT and AHP models are 72.5% and 65%, respectively. The overall results indicate that both models have good capability for predicting groundwater potential zones with the GIS-based GODT model as a good alternative. The GPPI maps produced in this study can form part of decision making model for environmental planning and groundwater management in the area.

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Application of Multi-Criteria Decision Analysis to Geoelectric and Geologic Parameters for Spatial Prediction of Groundwater Resources Potential and Aquifer Evaluation

Cited by 44 publications

References 50 publications

Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach

Groundwater Aquifer Suitability for Irrigation Purposes Using Multi-Criteria Decision Approach in Salah Al-Din Governorate/Iraq

Modeling of geoelectric parameters for assessing groundwater potentiality in a multifaceted geologic terrain, Ipinsa Southwest, Nigeria – A GIS-based GODT approach

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