Vulnerability mapping of the Turonian limestone aquifer in the Phosphates Plateau (Morocco)

Ettazarini, Said; Mahmouhi, Nezha El

doi:10.1007/s00254-004-1022-3

Cited by 14 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3b) (Tehrany et al 2013). Slope angle (degree) (Sad) largely controls the groundwater recharge processes, infiltration and runoff (Sarkar et al 2001;Ettazarizini and El Mahmouhi 2004;Prasad et al 2008), therefore, it is an effective factor for the spatial prediction of groundwater potential. The slope map of the study area was generated based on DEM using the Spatial Analysis tools in ArcGIS 9.3.…”

Section: Topographic Factorsmentioning

confidence: 99%

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Jothibasu

Anbazhagan

2016

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

In the present study, an effort has been made to investigate the analytical hierarchy process has been applied to delineate groundwater potential based on integrated geographic information system (GIS) and remote sensing (RS) techniques in Ponnaiyar River basin, Tamil Nadu, India. At first, the climatic factor, topographic factors, water related factors, geological factors, hydrogeological factors and other ecological factors such as land use/land cover and soil depth were derived from the spatial geo-database. Secondly, the 74 groundwater data with high potential yield values of C40 m 3 /h were collected and mapped in GIS. Out these, 44 (60 %) cases were randomly selected for models training, and the remaining 31 (40 %) cases were used for the validation purposes. Then, the assigned weights of thematic layers based on expert knowledge were normalized by eigenvector technique of AHP. To prepare the groundwater potential index, the weighted linear combination (WLC) method was applied in GIS. Finally, the receiver operating characteristic (ROC) curve was drawn for groundwater potential map, and the area under curve (AUC) was computed. Results indicated that the rainfall and slope percent factors have taken the highest and lowest weights, respectively. Validation of results showed that the AHP method (AUC = 76.90 %) performed fairly good predication accuracy. Results of this study could be helpful for better management of groundwater resources in the study area and give planners and decision makers an opportunity to prepare appropriate groundwater investment plans for sustainable environment.

show abstract

Section: Topographic Factorsmentioning

confidence: 99%

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Jothibasu

Anbazhagan

2016

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

show abstract

“…Slope: It represents one of the factors which control the infiltration. It is a Journal of Water Resource and Protection critical parameter that controls directly the runoff and therefore the infiltration [12]. In effect, with a low slope, runoff is slow and allows rainwater to seep into the sub-soil, while the areas heavily tilted facilitate the runoff [13].…”

Section: Intrinsic Characteristics Of the Aquifermentioning

confidence: 99%

Elaboration of a Cartographic Model of Zones Favorable to the Implantation of Water Points: Case of the Watershed of Ehania, South-East of C&ocirc;te D’Ivoire

Dibi¹,

Brice²,

Hélène³

et al. 2019

JWARP

View full text Add to dashboard Cite

The supply of drinking water from aquifers of base remains problematic because of his complexity. The combination of several methods is more adapted for the mapping of water establishment favorable areas. This study is focused on water points establishment favorable areas mapping. The methods used are remote sensing, pump tests sheets for determining aquifers and saprolites thickness. To determine the recharge, GR2M Method and drainage density has been used. The digital elevation model (DEM) has been used to generate slopes and drainage density maps. The thematic maps obtained combined under GIS to produce water potentiality map. The results obtained have been with exploitation rates. Three classes of potentialities have been identified. These are classes of high potentialities in groundwater which cover approximately 20% of the study area. It occurs mainly in central areas where there are sedimentary formations usually captured by the drilling. These areas are generally located in the central part, mainly in areas where there is low slope, important with a thick layer of saprolites.

show abstract

“…The information on the model working principle has been documented in several studies of Sahoo et al (2016), Mogaji (2017) and Aller et al (1987). According to Ettazarini and El Mahmouhi (2004), the hydrogeological parameters component for the workability of the model includes: depth to water table (D), net recharge (R), aquifer media (A), soil media (S), topography or slope (T), impact of the vadose zone (I) and hydraulic conductivity (C). With these parameters serving as the imputes in Eq.…”

Section: Drastic Index Model (Dim) Theorymentioning

confidence: 99%

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

Mogaji

2018

Appl Water Sci

View full text Add to dashboard Cite

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.

show abstract

Vulnerability mapping of the Turonian limestone aquifer in the Phosphates Plateau (Morocco)

Cited by 14 publications

References 0 publications

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Elaboration of a Cartographic Model of Zones Favorable to the Implantation of Water Points: Case of the Watershed of Ehania, South-East of C&ocirc;te D’Ivoire

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

Contact Info

Product

Resources

About

Vulnerability mapping of the Turonian limestone aquifer in the Phosphates Plateau (Morocco)

Cited by 14 publications

References 0 publications

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Modeling groundwater probability index in Ponnaiyar River basin of South India using analytic hierarchy process

Elaboration of a Cartographic Model of Zones Favorable to the Implantation of Water Points: Case of the Watershed of Ehania, South-East of C&amp;ocirc;te D’Ivoire

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

Contact Info

Product

Resources

About

Elaboration of a Cartographic Model of Zones Favorable to the Implantation of Water Points: Case of the Watershed of Ehania, South-East of Côte D’Ivoire