Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model

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

doi:10.1007/s12517-014-1391-1

Cited by 134 publications

(50 citation statements)

References 49 publications

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“…Therefore, this result indicated that groundwater potentiality increased with the increase of the TWI value. This result confirms the results of Nampak et al (2014); Mogaji et al (2014), andDavoodi Moghaddam et al (2015) as direct link between the TWI value and groundwater occurrence.…”

Section: Classsupporting

confidence: 91%

“…The DS theory of evidence was originally introduced by Dempster (1967), considered as a spatial integration model with mathematical representation, and was later expanded upon by Shafer (1976). The theory and the algorithm of DS model, as well as its application in groundwater potentiality assessment, have been presented in Mogaji et al (2014) and Nampak et al (2014). In groundwater potentiality analysis based on the DS model, a structure of discernment can be considered as follows (Dempster, 1967;Shafer, 1976):…”

Section: Application Of Ds Modelmentioning

confidence: 99%

See 1 more Smart Citation

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Rahmati

Melesse

2016

Science of The Total Environment

107

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Section: Classsupporting

confidence: 91%

Section: Application Of Ds Modelmentioning

confidence: 99%

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Rahmati

Melesse

2016

Science of The Total Environment

107

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“…Soil depth is one of the most important factors in the surface and subsurface runoff generation and infiltration process (Mogaji et al, 2014). The soil depth map was obtained from the Central Groundwater Board (CGWB, 2012).…”

Section: Biophysical Factorsmentioning

confidence: 99%

Drought Hazard Assessment in Ponnaiyar River Basin, India Using Remote Sensing and Geographic Information System

Jothibasu¹,

Anbazhagan²

2017

IJEE

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“…The delineation is based on many factors garment to soil science such as geomorphologic origin and conditions under which the soil formed (Vieux 2004). Soil depth is one of the most important factors in the surface and subsurface runoff generation and infiltration process (Mogaji et al 2014). The soil depth map was obtained from the Central Groundwater Board (CGWB, 2012).…”

Section: Ecological 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.

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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.

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Regional prediction of groundwater potential mapping in a multifaceted geology terrain using GIS-based Dempster–Shafer model

Cited by 134 publications

References 49 publications

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Drought Hazard Assessment in Ponnaiyar River Basin, India Using Remote Sensing and Geographic Information System

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

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