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Groundwater vulnerability assessment in central Iran: Integration of GIS-based DRASTIC model and a machine learning approach
Author(s):
Zeynab Karimzadeh Motlagh
,
Reza Derakhshani
,
Mohammad Hossein Sayadi
Publication date
Created:
November 2023
Publication date
(Print):
November 2023
Journal:
Groundwater for Sustainable Development
Publisher:
Elsevier BV
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Recursive Rule based Visual Categorization
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Support vector machine applications in the field of hydrology: A review
Sujay Raghavendra. N
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Paresh Deka
(2014)
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A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
Sabrina Cipullo
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Biswajeet Pradhan
,
Arash Malekian
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(2018)
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A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
Assefa Melesse
,
Khabat Khosravi
,
Majid Sartaj
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(2018)
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Author and article information
Contributors
Reza Derakhshani:
(View ORCID Profile)
Journal
Title:
Groundwater for Sustainable Development
Abbreviated Title:
Groundwater for Sustainable Development
Publisher:
Elsevier BV
ISSN (Print):
2352801X
Publication date Created:
November 2023
Publication date (Print):
November 2023
Volume
: 23
Page
: 101037
Article
DOI:
10.1016/j.gsd.2023.101037
SO-VID:
e54537d3-a3c7-4965-bd71-62fff9783c08
Copyright ©
© 2023
License:
https://www.elsevier.com/tdm/userlicense/1.0/
http://creativecommons.org/licenses/by/4.0/
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