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Refinado por: Base de dados/Biblioteca: ScienceDirect remover
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1
Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes
Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes
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Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes

Makhlouf, Ahmed ; El-Rawy, Mustafa ; Kanae, Shinjiro ; Ibrahim, Mona G. ; Sharaan, Mahmoud

Journal of hydrology (Amsterdam), 2024-06, Vol.637, p.131428, Article 131428 [Periódico revisado por pares]

Elsevier B.V

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2
Managed aquifer recharge in island aquifer under thermal influences on the fresh-saline water interface
Managed aquifer recharge in island aquifer under thermal influences on the fresh-saline water interface
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Managed aquifer recharge in island aquifer under thermal influences on the fresh-saline water interface

Zhan, Yang ; Murugesan, Balamurugan ; Guo, Zhilin ; Li, Hongkai ; Chen, Kewei ; Babovic, Vladan ; Zheng, Chunmiao

Journal of hydrology (Amsterdam), 2024-07, Vol.638, p.131496, Article 131496 [Periódico revisado por pares]

Elsevier B.V

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3
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
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A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

Naghibi, Seyed Amir ; Moghaddam, Davood Davoodi ; Kalantar, Bahareh ; Pradhan, Biswajeet ; Kisi, Ozgur

Journal of hydrology (Amsterdam), 2017-05, Vol.548, p.471-483 [Periódico revisado por pares]

Elsevier B.V

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4
An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions
An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions
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An integrated modeling approach to simulate human-crop-groundwater interactions in intensively irrigated regions

Nozari, Soheil ; Bailey, Ryan T. ; Rad, Mani Rouhi ; Smith, Garvey E.B. ; Andales, Allan A. ; Zambreski, Zachary T. ; Tavakoli-Kivi, Saman ; Sharda, Vaishali ; Kisekka, Isaya ; Gowda, Prasanna ; Schipanski, Meagan E.

Environmental modelling & software : with environment data news, 2024-08, Vol.179, p.106120, Article 106120 [Periódico revisado por pares]

Elsevier Ltd

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5
Groundwater pollution and risk assessment based on source apportionment in a typical cold agricultural region in Northeastern China
Groundwater pollution and risk assessment based on source apportionment in a typical cold agricultural region in Northeastern China
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Groundwater pollution and risk assessment based on source apportionment in a typical cold agricultural region in Northeastern China

Chen, Ruihui ; Teng, Yanguo ; Chen, Haiyang ; Hu, Bin ; Yue, Weifeng

The Science of the total environment, 2019-12, Vol.696, p.133972-133972, Article 133972 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Groundwater spring potential assessment using new ensemble data mining techniques
Groundwater spring potential assessment using new ensemble data mining techniques
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Groundwater spring potential assessment using new ensemble data mining techniques

Yousefi, Saleh ; Sadhasivam, Nitheshnirmal ; Pourghasemi, Hamid Reza ; Ghaffari Nazarlou, Hamid ; Golkar, Foroogh ; Tavangar, Shahla ; Santosh, M.

Measurement : journal of the International Measurement Confederation, 2020-06, Vol.157, p.107652, Article 107652 [Periódico revisado por pares]

London: Elsevier Ltd

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7
A Comprehensive evaluation of groundwater vulnerability to saltwater up-coning and sea water intrusion in a coastal aquifer (case study: Ghaemshahr-juybar aquifer)
A Comprehensive evaluation of groundwater vulnerability to saltwater up-coning and sea water intrusion in a coastal aquifer (case study: Ghaemshahr-juybar aquifer)
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A Comprehensive evaluation of groundwater vulnerability to saltwater up-coning and sea water intrusion in a coastal aquifer (case study: Ghaemshahr-juybar aquifer)

Motevalli, Alireza ; Moradi, Hamid Reza ; Javadi, Saman

Journal of hydrology (Amsterdam), 2018-02, Vol.557, p.753-773 [Periódico revisado por pares]

Elsevier B.V

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8
Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran
Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran
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Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

Rahmati, Omid ; Melesse, Assefa M.

The Science of the total environment, 2016-10, Vol.568, p.1110-1123 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Fuzzy optimization model and fuzzy inference system for conjunctive use of surface and groundwater resources
Fuzzy optimization model and fuzzy inference system for conjunctive use of surface and groundwater resources
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Fuzzy optimization model and fuzzy inference system for conjunctive use of surface and groundwater resources

Milan, Sami Ghordoyee ; Roozbahani, Abbas ; Banihabib, Mohammad Ebrahim

Journal of hydrology (Amsterdam), 2018-11, Vol.566, p.421-434 [Periódico revisado por pares]

Elsevier B.V

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10
Multi-Facet analysis of analytical and numerical models to resolve sustainable artificial recharge rates in unconfined aquifers
Multi-Facet analysis of analytical and numerical models to resolve sustainable artificial recharge rates in unconfined aquifers
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Multi-Facet analysis of analytical and numerical models to resolve sustainable artificial recharge rates in unconfined aquifers

Kumar, Ranveer ; Tewari, Ankit ; Mishra, Shreyansh ; Singh, Prabhat Kumar ; Gaur, Shishir

Journal of environmental management, 2024-06, Vol.362, p.121233-121233, Article 121233 [Periódico revisado por pares]

Elsevier Ltd

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