GIS and Geostatistical Techniques for Groundwater Science
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31

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9780128154137

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GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.09995-8 ◽

2019 ◽

pp. iv

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Geostatistical Studies for Evaluation of Fluoride Contamination in Part of Dharmapuri District, South India

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00021-3 ◽

2019 ◽

pp. 297-308

Author(s):

S. Anbazhagan ◽

M. Rajendran ◽

A. Jothibasu

Keyword(s):

South India ◽

Fluoride Contamination

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A Statistical Approach to Identify the Temporal and Spatial Variations in the Geochemical Process of a Coastal Aquifer, South East Coast of India

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00016-x ◽

2019 ◽

pp. 223-235 ◽

Author(s):

M.V. Prasanna ◽

S. Chidambaram ◽

R. Thilagavathi ◽

C. Thivya ◽

S. Venkatramanan ◽

...

Keyword(s):

Coastal Aquifer ◽

Statistical Approach ◽

Spatial Variations ◽

Geochemical Process ◽

East Coast Of India ◽

Temporal And Spatial Variations ◽

Temporal And Spatial

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A Comparative Study of Spatial Interpolation Technique (IDW and Kriging) for Determining Groundwater Quality

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00005-5 ◽

2019 ◽

pp. 43-56

Author(s):

Prafull Singh ◽

Pradipika Verma

Keyword(s):

Comparative Study ◽

Groundwater Quality ◽

Spatial Interpolation ◽

Interpolation Technique

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Methods for Assessing the Groundwater Quality

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00006-7 ◽

2019 ◽

pp. 57-78 ◽

Author(s):

R. Rajesh ◽

L. Elango ◽

K. Brindha

Keyword(s):

Groundwater Quality

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Intelligent Prediction Modeling of Water Quality Using Artificial Neural Networking: Nambiyar River Basin, Tamil Nadu, India

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00011-0 ◽

2019 ◽

pp. 153-164

Author(s):

C. Gajendran ◽

K. Srinivasamoorthy ◽

P. Thamarai

Keyword(s):

Water Quality ◽

River Basin ◽

Prediction Modeling ◽

Artificial Neural Networking ◽

Artificial Neural

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Prediction of Spatial Fluoride Concentrations by a Hybrid Artificial Neural Network in Complex Aquifers

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00019-5 ◽

2019 ◽

pp. 269-281

Author(s):

Ata Allah Nadiri ◽

Rahman Khatibi ◽

Frank T.-C. Tsai

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

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Evaluation of Heavy-Metal Contamination in Groundwater using Hydrogeochemical and Multivariate statistical Analyses

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00024-9 ◽

2019 ◽

pp. 331-346 ◽

Author(s):

Sang Yong Chung ◽

R. Rajesh ◽

S. Venkatramanan

Keyword(s):

Heavy Metal ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Merits and Demerits of GIS and Geostatistical Techniques

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00002-x ◽

2019 ◽

pp. 17-21 ◽

Author(s):

C.R. Paramasivam

Keyword(s):

Geostatistical Techniques

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Spatio-Temporal Variations of Fluoride in the Groundwater of Dindigul District, Tamil Nadu, India: A Comparative Assessment Using Two Interpolation Techniques

GIS and Geostatistical Techniques for Groundwater Science ◽

10.1016/b978-0-12-815413-7.00020-1 ◽

2019 ◽

pp. 283-296 ◽

Author(s):

N.S. Magesh ◽

L. Elango

Keyword(s):

Temporal Variations ◽

Comparative Assessment ◽

Interpolation Techniques ◽

Spatio Temporal

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