Determination of aquifer parameters from geosounding data in parts of Afikpo Sub-basin, southeastern Nigeria

Arabian Journal of Geosciences ◽

10.1007/s12517-020-5137-y ◽

2020 ◽

Vol 13 (4) ◽

Author(s):

Amobi C. Ekwe ◽

Alexander I. Opara ◽

Chukwudike G. Okeugo ◽

George-best Azuoko ◽

Elijah E. Nkitnam ◽

...

Keyword(s):

Southeastern Nigeria ◽

Aquifer Parameters

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The use of statistical grain-size method in analysing borehole and evaluating aquifer parameters. A case study of Ajali Sandstone formation, southeastern Nigeria

Global Journal of Geological Sciences ◽

10.4314/gjgs.v15i1.7 ◽

2017 ◽

Vol 15 (1) ◽

pp. 77

Author(s):

Emmanuel O. Ezim ◽

Izuchukwu I. Obiadi ◽

Mike I. Akaegbobi

Keyword(s):

Southeastern Nigeria ◽

Aquifer Parameters ◽

Sandstone Formation

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Determination of Aquifer Parameters at a Ground-Water Recharge Site

Ground Water ◽

10.1111/j.1745-6584.1988.tb00366.x ◽

1988 ◽

Vol 26 (1) ◽

pp. 39-53 ◽

Author(s):

J. B. Urban ◽

W. J. Gbureka

Keyword(s):

Ground Water ◽

Aquifer Parameters ◽

Ground Water Recharge ◽

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Computer Determination of Aquifer Parameters Using Slope Matching

Ground Water ◽

10.1111/j.1745-6584.1997.tb00115.x ◽

1997 ◽

Vol 35 (3) ◽

pp. 546-550 ◽

Author(s):

Robert Pittenger ◽

James S. Reichard

Keyword(s):

Aquifer Parameters ◽

Computer Determination

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Determination of potential groundwater sites using geological and geophysical techniques in the Cross River State, southeastern Nigeria

Journal of African Earth Sciences ◽

10.1016/s0899-5362(98)00053-0 ◽

1998 ◽

Vol 27 (1) ◽

pp. 149-163 ◽

Author(s):

C.S. Okereke ◽

E.O. Esu ◽

A.E. Edet

Keyword(s):

Southeastern Nigeria ◽

Cross River ◽

Cross River State ◽

Geophysical Techniques ◽

Potential Groundwater ◽

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Modeling the Neuman’s well function by an artificial neural network for the determination of unconfined aquifer parameters

Computational Geosciences ◽

10.1007/s10596-018-9742-8 ◽

2018 ◽

Vol 22 (4) ◽

pp. 1135-1148 ◽

Author(s):

Tahereh Azari ◽

Nozar Samani

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Unconfined Aquifer ◽

Aquifer Parameters ◽

Artificial Neural ◽

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Determination of Aquifer Parameters from Large-Diameter Dug Well Pumping Tests

Ground Water ◽

10.1111/j.1745-6584.1981.tb03513.x ◽

1981 ◽

Vol 19 (6) ◽

pp. 593-599 ◽

Author(s):

R. Herbert ◽

R. Kitching

Keyword(s):

Large Diameter ◽

Pumping Tests ◽

Aquifer Parameters ◽

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Determination of aquifer parameters by a two-well pulsed method using radioactive tracers — Comments

Journal of Hydrology ◽

10.1016/0022-1694(79)90118-5 ◽

1979 ◽

Vol 41 (1-2) ◽

pp. 171-176 ◽

Author(s):

A. Kreft ◽

A. Zuber

Keyword(s):

Radioactive Tracers ◽

Aquifer Parameters

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Determination of Aquifer Parameters by the Slope-Matching Method

Ground Water ◽

10.1111/j.1745-6584.1986.tb00997.x ◽

1986 ◽

Vol 24 (2) ◽

pp. 217-223 ◽

Author(s):

Zekai Sen

Keyword(s):

Matching Method ◽

Aquifer Parameters

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Determination of aquifer parameters of finite confined aquifers from constant drawdown nonsteady type-curves

Hydrological Sciences Journal ◽

10.1080/02626669409492743 ◽

1994 ◽

Vol 39 (3) ◽

pp. 269-280 ◽

Author(s):

HALIL ONDER

Keyword(s):

Type Curves ◽

Aquifer Parameters ◽

Confined Aquifers

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Determination of aquifer parameters based on measurements of tidal effects on a coastal aquifer near Beihai, China

Hydrological Processes ◽

10.1002/hyp.6906 ◽

2008 ◽

Vol 22 (16) ◽

pp. 3176-3180 ◽

Author(s):

Xun Zhou

Keyword(s):

Coastal Aquifer ◽

Tidal Effects ◽

Aquifer Parameters

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