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Refinado por: Lista de Todas as Versões Hydrogeology remover
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Piezometric depth modeling of groundwater using monthly variables of precipitation and water consumption (case study: Sarab Plain aquifer)
Piezometric depth modeling of groundwater using monthly variables of precipitation and water consumption (case study: Sarab Plain aquifer)
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Piezometric depth modeling of groundwater using monthly variables of precipitation and water consumption (case study: Sarab Plain aquifer)

Khosravi, Sepideh ; Fard, Ahmad Fakheri ; Dinpashoh, Yagob

Discover water, 2024-12, Vol.4 (1), p.14-12 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Long short-term memory integrating moving average method for flood inundation depth forecasting based on observed data in urban area
Long short-term memory integrating moving average method for flood inundation depth forecasting based on observed data in urban area
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Long short-term memory integrating moving average method for flood inundation depth forecasting based on observed data in urban area

Yang, Song-Yue ; Jhong, Bing-Chen ; Jhong, You-Da ; Tsai, Tsung-Tang ; Chen, Chang-Shian

Natural hazards (Dordrecht), 2023-03, Vol.116 (2), p.2339-2361 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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3
Analysis of different combinations of meteorological parameters and well characteristics in predicting the groundwater chloride concentration with different empirical approaches: a case study in Gaza Strip, Palestine
Analysis of different combinations of meteorological parameters and well characteristics in predicting the groundwater chloride concentration with different empirical approaches: a case study in Gaza Strip, Palestine
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Analysis of different combinations of meteorological parameters and well characteristics in predicting the groundwater chloride concentration with different empirical approaches: a case study in Gaza Strip, Palestine

Kassem, Youssef

Environmental earth sciences, 2023-03, Vol.82 (6), p.134, Article 134 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Multivariate Time Series Clustering of Groundwater Quality Data to Develop Data-Driven Monitoring Strategies in a Historically Contaminated Urban Area
Multivariate Time Series Clustering of Groundwater Quality Data to Develop Data-Driven Monitoring Strategies in a Historically Contaminated Urban Area
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Multivariate Time Series Clustering of Groundwater Quality Data to Develop Data-Driven Monitoring Strategies in a Historically Contaminated Urban Area

Zanotti, Chiara ; Rotiroti, Marco ; Redaelli, Agnese ; Caschetto, Mariachiara ; Fumagalli, Letizia ; Stano, Camilla ; Sartirana, Davide ; Bonomi, Tullia

Water (Basel), 2023-01, Vol.15 (1), p.148 [Periódico revisado por pares]

Basel: MDPI AG

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5
Machine Learning for Surrogate Groundwater Modelling of a Small Carbonate Island
Machine Learning for Surrogate Groundwater Modelling of a Small Carbonate Island
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Machine Learning for Surrogate Groundwater Modelling of a Small Carbonate Island

Payne, Karl ; Chami, Peter ; Odle, Ivanna ; Yawson, David Oscar ; Paul, Jaime ; Maharaj-Jagdip, Anuradha ; Cashman, Adrian

Hydrology, 2023-01, Vol.10 (1), p.2 [Periódico revisado por pares]

Basel: MDPI AG

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6
Advancing AI-based pan-European groundwater monitoring
Advancing AI-based pan-European groundwater monitoring
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Advancing AI-based pan-European groundwater monitoring

Ma, Yueling ; Montzka, Carsten ; Naz, Bibi S ; Kollet, Stefan

Environmental research letters, 2022-11, Vol.17 (11), p.114037 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions
Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions
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Machine Learning‐Based Surrogate Modeling for Urban Water Networks: Review and Future Research Directions

Garzón, A. ; Kapelan, Z. ; Langeveld, J. ; Taormina, R.

Water resources research, 2022-05, Vol.58 (5), p.n/a [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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8
Machine learning-based thermal anomalies detection from MODIS LST associated with the Mw 7.7 Awaran, Pakistan earthquake
Machine learning-based thermal anomalies detection from MODIS LST associated with the Mw 7.7 Awaran, Pakistan earthquake
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Machine learning-based thermal anomalies detection from MODIS LST associated with the Mw 7.7 Awaran, Pakistan earthquake

Hafeez, Amna ; Ehsan, Muhsan ; Abbas, Ayesha ; Shah, Munawar ; Shahzad, Rasim

Natural hazards (Dordrecht), 2022-03, Vol.111 (2), p.2097-2115 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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9
Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis
Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis
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Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis

Ahmadi, Arman ; Olyaei, Mohammadali ; Heydari, Zahra ; Emami, Mohammad ; Zeynolabedin, Amin ; Ghomlaghi, Arash ; Daccache, Andre ; Fogg, Graham E. ; Sadegh, Mojtaba

Water (Basel), 2022-03, Vol.14 (6), p.949 [Periódico revisado por pares]

Basel: MDPI AG

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10
A Machine Learning-based Approach for Groundwater Mapping
A Machine Learning-based Approach for Groundwater Mapping
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A Machine Learning-based Approach for Groundwater Mapping

Zzaman, Rashed Uz ; Nowreen, Sara ; Khan, Irtesam Mahmud ; Islam, Md. Rajibul ; Ibtehaz, Nabil ; Rahman, M. Saifur ; Zahid, Anwar ; Farzana, Dilruba ; Sharmin, Afroza ; Rahman, M. Sohel

Natural resources research (New York, N.Y.), 2022-02, Vol.31 (1), p.281-299 [Periódico revisado por pares]

New York: Springer US

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