A 2D GIS Approach for Mapping Aquiferous Zones Using Remotely Sensed Data within Obubra, Southeast-Nigeria

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.net/Journal/jwarp
E-mail: [email protected]

Citations

"A 2D GIS Approach for Mapping Aquiferous Zones Using Remotely Sensed Data within Obubra, Southeast-Nigeria"
written by Ebenezer A. Kudamnya, Ruth O. Sylvanus, Mary T. Essien, Adamu A. Vulegbo, Benjamin O. Omang,
published by Journal of Water Resource and Protection, Vol.11 No.6, 2019

has been cited by the following article(s):

[1]	Integrated geophysical and hydrogeochemical characterization of groundwater vulnerability conditions in part of Ikom-Mamfe Embayment, southeastern Nigeria
	Sustainable Water …, 2024

[2]	Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach
	Environmental Science and Pollution Research, 2023

[3]	Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower …
	… Science and Pollution …, 2023

[4]	Analysing principal components of physiographic factors affecting groundwater occurrences within Keffi, North-Central Nigeria
	… Journal of Remote Sensing and Space …, 2021

[5]	Impacts of climate change on human and plant nutrition and health
	Plants and Environment, 2020

[1]	APPLICATION OF THE ANALYTIC HIEARCHY PROCESS (AHP) FOR ASSESSING GROUNDWATER RETENTION POTENTIAL USING LiDAR AND WELL DATA 25th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2025, Water Resources, Forest, Marine, and Ocean Ecosystems, Vol25, Issue 3.1, 2025 DOI:10.5593/sgem2025/3.1/s11.05

[2]	Integrated geophysical and hydrogeochemical characterization of groundwater vulnerability conditions in part of Ikom-Mamfe Embayment, southeastern Nigeria Sustainable Water Resources Management, 2024 DOI:10.1007/s40899-024-01094-3

[3]	Evaluation and prediction of irrigation water quality of an agricultural district, SE Nigeria: an integrated heuristic GIS-based and machine learning approach Environmental Science and Pollution Research, 2023 DOI:10.1007/s11356-022-25119-6

[4]	Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria Environmental Science and Pollution Research, 2023 DOI:10.1007/s11356-023-25291-3

[5]	Analysing principal components of physiographic factors affecting groundwater occurrences within Keffi, North-Central Nigeria The Egyptian Journal of Remote Sensing and Space Science, 2021 DOI:10.1016/j.ejrs.2021.08.005