Modeling groundwater vulnerability prediction using geographic information system (GIS)-based ordered weighted average (OWA) method and DRASTIC model theory hybrid approach

Mogaji, Kehinde Anthony; Lim, H. S.; Abdullah, K.

doi:10.1007/s12517-013-1163-3

Cited by 31 publications

(12 citation statements)

References 37 publications

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“…The bias that is likely present in the decision-making process is consequently reduced (Ariff et al 2008). Owing to the uniqueness of the AHP technique, its potential was widely explored in groundwater hydrology with satisfactory results in a number of case histories (Thirumalaivasan et al 2003;Adiat et al 2012;Zhou and Chen 2014;Mogaji et al 2014) with entreaty results. Thus, this study employed the AHP technique in groundwater potential mapping.…”

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

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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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%

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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“…The study according to Mogaji et al (2014) has provided information on the geography, geology and the hydrogeology of the investigated area whose zoning region is in the southern Perak Province, Malaysia (Fig. 2).…”

Section: Study Areamentioning

confidence: 99%

“…1, the data types were obtained from different sources. The geospatial approach for their thematic preparation is as detailed in Mogaji et al (2014). However, for the acquired RS data, i.e., ASTER DEM data, mosaicking and georeferencing using ArcGIS 10.1 and ENVI 4.7 software were carried out.…”

Section: The Data Types Processing and Pollution Potential Conditionimentioning

confidence: 99%

“…One of the consequences of these limitations particularly the latter factor is such that the final output of DRASTIC index does not reflect the resultant effect of any missing data etc. Sequel to these aforementioned weaknesses of DRASTIC model, several researchers have devised different means of improving the model's performance (Thirumalaivasan et al 2003;Dixon 2005;Antonakos and Lambrakis 2007;Ckakraborty 2007;Pathak et al 2014;Pradhan et al 2013;Mogaji et al 2014;Nobre et al 2007;Chen et al 2013;Singh et al 2015;Nerantzis and Konstantinos 2015;Wang et al 2012;Biswajeet and Pradhan 2104;Boris et al 2016;Kumar et al 2017;Issoufou and Defourny 2016;Sadeghfam et al 2016). However, few of these DRASTIC model enhancement studies have quantitatively evaluated the efficiency of their improved model output versus the conventional DRASTIC model result.…”

Section: Introductionmentioning

confidence: 99%

“…In the recent study of Mogaji et al (2014), the ordered weighted average-DRASTIC (OWA-DRASTIC) was proposed. The approach is an hybrid model where the principle of OWA multi-criteria evaluation technique is driven by the data input from the DRASTIC model theory of assessing vulnerability.…”

Section: Introductionmentioning

confidence: 99%

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Application of vulnerability modeling techniques in groundwater resources management: a comparative study

Mogaji

2018

Appl Water Sci

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The sustainability management of groundwater resource globally is challenged by its vulnerability to pollution resulting from anthropogenic activities. In order to address this problem, the DRASTIC index model (DIM) method among the existing vulnerability modeling techniques is commonly used. OWA-DRASTIC index model (ODIM) technique is another recently developed method for the same task. This study investigated the application of these vulnerability-biased modeling methods in a multi-faceted geologic setting at Perak Province, Malaysia with the view of establishing their efficiencies. The models considered seven pollution potential conditioning factors (PPCFs) obtained from difference data sources. Applying the GIS-based multi-criterial algorithm of these models, the PPCFs were related for developing multi-parameters-based vulnerability index model equations. Groundwater vulnerability to pollution index (GVPI) maps was produced from the synthesized estimated results of the applied multi-parameters-based vulnerability index model equations. The reliability of the produced GVPI maps was established using analyzed groundwater quality data results. The obtained prediction accuracy results for the ODIM-based GVPI map and DIM-based GVPI map are 85.71 and 64.29%, respectively. Besides, the regression coefficient results obtained from the spatially estimate from the DIM and ODIM' vulnerability index's values relationship with the pH and manganese concentrations give 83 and 85% for the ODIM technique and 68 and 63% for the DIM technique, respectively. The overall results indicated that the applied ODIM method in the area is a better alternative to the conventional DIM method. The produced GVPI maps can be useful to regional planners and environmental managers entrusted with the protection of groundwater resource.

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Development of AHPDST Vulnerability Indexing Model for Groundwater Vulnerability Assessment Using Hydrogeophysical Derived Parameters and GIS Application

Mogaji

2017

Pure Appl. Geophys.

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Modeling groundwater vulnerability prediction using geographic information system (GIS)-based ordered weighted average (OWA) method and DRASTIC model theory hybrid approach

Cited by 31 publications

References 37 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

Application of vulnerability modeling techniques in groundwater resources management: a comparative study

Development of AHPDST Vulnerability Indexing Model for Groundwater Vulnerability Assessment Using Hydrogeophysical Derived Parameters and GIS Application

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