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Mogaji, Kehinde Anthony, Lim, Hwee San (2017) Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment. Earth Science Informatics, 10 (3) 339-356 doi:10.1007/s12145-017-0300-z

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Reference TypeJournal (article/letter/editorial)
TitleDevelopment of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment
JournalEarth Science Informatics
AuthorsMogaji, Kehinde AnthonyAuthor
Lim, Hwee SanAuthor
Year2017 (September)Volume10
Issue3
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12145-017-0300-zSearch in ResearchGate
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Mindat Ref. ID729762Long-form Identifiermindat:1:5:729762:9
GUID0
Full ReferenceMogaji, Kehinde Anthony, Lim, Hwee San (2017) Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment. Earth Science Informatics, 10 (3) 339-356 doi:10.1007/s12145-017-0300-z
Plain TextMogaji, Kehinde Anthony, Lim, Hwee San (2017) Development of a GIS-based catastrophe theory model (modified DRASTIC model) for groundwater vulnerability assessment. Earth Science Informatics, 10 (3) 339-356 doi:10.1007/s12145-017-0300-z
In(2017, September) Earth Science Informatics Vol. 10 (3) Springer Science and Business Media LLC

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Mogaji, Kehinde Anthony, Lim, Hwee San, Abdullar, Khiruddin (2014) Modeling groundwater vulnerability to pollution using Optimized DRASTIC model. IOP Conference Series: Earth and Environmental Science, 20. 12002pp. doi:10.1088/1755-1315/20/1/012002
Mogaji, Kehinde Anthony, Lim, Hwee San (2017) Groundwater potentiality mapping using geoelectrical-based aquifer hydraulic parameters: A GIS-based multi-criteria decision analysis modeling approach. Terrestrial, Atmospheric and Oceanic Sciences, 28 (3). 479-500 doi:10.3319/tao.2016.11.01.02
Mogaji, Kehinde Anthony, Lim, Hwee San (2020) A GIS-based linear regression modeling approach to assess the impact of geologic rock types on groundwater recharge and its hydrological implication. Modeling Earth Systems and Environment, 6. 183-199 doi:10.1007/s40808-019-00670-3
Mogaji, Kehinde Anthony, Lim, Hwee San, Abdullah, Khiruddin (2015) Modeling of groundwater recharge using a multiple linear regression (MLR) recharge model developed from geophysical parameters: a case of groundwater resources management. Environmental Earth Sciences, 73 (3). 1217-1230 doi:10.1007/s12665-014-3476-2
Mogaji, K. A. (2017) Development of AHPDST Vulnerability Indexing Model for Groundwater Vulnerability Assessment Using Hydrogeophysical Derived Parameters and GIS Application. Pure and Applied Geophysics, 174 (4) 1787-1813 doi:10.1007/s00024-017-1499-9
Khakhar, Mona, Ruparelia, Jayesh P., Vyas, Anjana (2017) Assessing groundwater vulnerability using GIS-based DRASTIC model for Ahmedabad district, India. Environmental Earth Sciences, 76 (12). doi:10.1007/s12665-017-6761-z
Mogaji, K. A., Lim, H. S., Abdullah, K. (2014) Modeling groundwater vulnerability prediction using geographic information system (GIS)-based ordered weighted average (OWA) method and DRASTIC model theory hybrid approach. Arabian Journal of Geosciences, 7 (12) 5409-5429 doi:10.1007/s12517-013-1163-3
Mogaji, Kehinde Anthony (2016) Combining geophysical techniques and multi-criteria GIS-based application modeling approach for groundwater potential assessment in southwestern Nigeria. Environmental Earth Sciences, 75 (16). doi:10.1007/s12665-016-5897-6
Flathers, Edward, Kenyon, Jeremy, Gessler, Paul E (2017) A service-based framework for the OAIS model for earth science data management. Earth Science Informatics, 10 (3) 383-393 doi:10.1007/s12145-017-0297-3
Khan, Rubia, Jhariya, D. C. (2019) Assessment of Groundwater Pollution Vulnerability Using GIS Based Modified DRASTIC Model in Raipur City, Chhattisgarh. Journal of the Geological Society of India, 93 (3) 293-304 doi:10.1007/s12594-019-1177-x
Li, Xinyan, Gao, Yanyan, Qian, Hui, Wu, Hao (2017) Groundwater vulnerability and contamination risk assessment of the Weining Plain, using a modified DRASTIC model and quantized pollution loading method. Arabian Journal of Geosciences, 10 (21) doi:10.1007/s12517-017-3255-y
 
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