Contributors
Anurag Malik:
ORCID: http://orcid.org/0000-0002-0298-5777
Role: ConceptualizationRole: Data curationRole: InvestigationRole: SoftwareRole: Writing
– original draftRole: Writing – review & editing
Anil Kumar: Role: SupervisionRole: Writing – original draftRole: Writing – review & editing
Sinan Q. Salih: Role: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review
& editing
Sungwon Kim: Role: Funding acquisitionRole: InvestigationRole: Writing – original draftRole: Writing
– review & editing
Nam Won Kim: Role: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
Zaher Mundher Yaseen:
ORCID: http://orcid.org/0000-0003-3647-7137
Role: ConceptualizationRole: InvestigationRole: Project administrationRole: ValidationRole:
VisualizationRole: Writing – original draftRole: Writing – review & editing
Vijay P. Singh: Role: SupervisionRole: Writing – original draftRole: Writing – review & editing
Mohd Nadhir Ab Wahab: Role: Editor
Journal
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
21
May
2020
Publication date Collection: 2020
Volume: 15
Issue: 5
Electronic Location Identifier: e0233280
Affiliations
[1
]
Department of Soil and Water Conservation Engineering, College of Technology, G.B.
Pant University of Agriculture & Technology, Uttarakhand, India
[2
]
Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
[3
]
Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju,
South Korea
[4
]
Department of Land, Water and Environment Research Institute: Korea Institute of Civil
Engineering and Building Technology, Goyang, South Korea
[5
]
Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering,
Ton Duc Thang University, Ho Chi Minh City, Vietnam
[6
]
Department of Biological and Agricultural Engineering and Zachry Department of Civil
Engineering, Texas A&M University, Austin, Texas, United States of America
[7
]
National Water Center, UAE University, Al Ein, United Arab Emirates
Universiti Sains Malaysia, MALAYSIA
Author notes
Competing Interests: The authors declare no conflict of interest.
Author information
Article
Publisher ID:
PONE-D-19-22654
DOI: 10.1371/journal.pone.0233280
PMC ID: 7241731
PubMed ID: 32437386
SO-VID: c003b5ed-7ef8-43de-9e04-023926dd3568
Copyright © © 2020 Malik et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
History
Date
received
: 11
August
2019
Date
accepted
: 1
May
2020
Page count
Figures: 21,
Tables: 7,
Pages: 31
Funding
This research was funded by the Korea Institute of Civil Engineering and Building
Technology, grant number 20200027-001.
Categories
Subject:
Research Article
Subject:
Ecology and Environmental Sciences
Subject:
Drought
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Artificial Neural Networks
Subject:
Biology and Life Sciences
Subject:
Computational Biology
Subject:
Computational Neuroscience
Subject:
Artificial Neural Networks
Subject:
Biology and Life Sciences
Subject:
Neuroscience
Subject:
Computational Neuroscience
Subject:
Artificial Neural Networks
Subject:
Earth Sciences
Subject:
Atmospheric Science
Subject:
Meteorology
Subject:
Rain
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Earth Sciences
Subject:
Atmospheric Science
Subject:
Meteorology
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Ecology and Environmental Sciences
Subject:
Natural Resources
Subject:
Water Resources
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
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