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1 |
Material Type: Article
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Groundwater and Surface Water Interaction at the Regional-scale – A Review with Focus on Regional Integrated ModelsWater Resources Management, 2016-01, Vol.30 (1), p.1-32 [Peer Reviewed Journal]The Author(s) 2015 ;Springer Science+Business Media Dordrecht 2016 ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-015-1163-zFull text available |
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2 |
Material Type: Article
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Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability MappingWater resources management, 2020-07, Vol.34 (9), p.3037-3053 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-020-02603-7Full text available |
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3 |
Material Type: Article
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Water Footprint Assessment: Evolvement of a New Research FieldWater resources management, 2017-08, Vol.31 (10), p.3061-3081 [Peer Reviewed Journal]The Author(s) 2017 ;Water Resources Management is a copyright of Springer, 2017. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-017-1618-5Full text available |
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4 |
Material Type: Article
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Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential MappingWater resources management, 2017-07, Vol.31 (9), p.2761-2775 [Peer Reviewed Journal]Springer Science+Business Media Dordrecht 2017 ;Water Resources Management is a copyright of Springer, 2017. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-017-1660-3Full text available |
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5 |
Material Type: Article
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Human-Water Dynamics and their Role for Seasonal Water Scarcity – a Case StudyWater resources management, 2021-08, Vol.35 (10), p.3043-3061 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0920-4741 ;ISSN: 1573-1650 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-021-02819-1Full text available |
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6 |
Material Type: Article
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Linking Hydro-Physical Variables and Landscape Metrics using Advanced Data Mining for Stream-Flow PredictionWater resources management, 2022-09, Vol.36 (11), p.4255-4273 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;The Author(s), under exclusive licence to Springer Nature B.V. 2022. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-022-03251-9Full text available |
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7 |
Material Type: Article
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Fuzzy Stress-based Modeling for Probabilistic Irrigation Planning Using Copula-NSPSOWater resources management, 2021-11, Vol.35 (14), p.4943-4959 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2021 ;The Author(s), under exclusive licence to Springer Nature B.V. 2021. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-021-02981-6Full text available |
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8 |
Material Type: Article
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Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine ConceptionsWater resources management, 2020, Vol.34 (2), p.529-561 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Water Resources Management is a copyright of Springer, (2020). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-019-02463-wFull text available |
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9 |
Material Type: Article
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Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD DecompositionWater resources management, 2015-06, Vol.29 (8), p.2655-2675 [Peer Reviewed Journal]Springer Science+Business Media Dordrecht 2015 ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-015-0962-6Full text available |
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10 |
Material Type: Article
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Mapping Groundwater Potential Using a Novel Hybrid Intelligence ApproachWater resources management, 2019, Vol.33 (1), p.281-302 [Peer Reviewed Journal]Springer Nature B.V. 2018 ;Water Resources Management is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-018-2102-6Full text available |
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11 |
Material Type: Article
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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow ForecastingWater resources management, 2021-09, Vol.35 (12), p.4167-4187 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2021 ;The Author(s), under exclusive licence to Springer Nature B.V. 2021. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-021-02937-wFull text available |
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12 |
Material Type: Article
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Application of the Innovative Trend Analysis Method for the Trend Analysis of Rainfall Anomalies in Southern ItalyWater resources management, 2018-12, Vol.32 (15), p.4971-4983 [Peer Reviewed Journal]Springer Nature B.V. 2018 ;Water Resources Management is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-018-2117-zFull text available |
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13 |
Material Type: Article
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Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United StatesWater resources management, 2020-10, Vol.34 (13), p.4113-4131 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-020-02659-5Full text available |
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14 |
Material Type: Article
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Trend Assessment by the Innovative-Şen MethodWater resources management, 2016-11, Vol.30 (14), p.5193-5203 [Peer Reviewed Journal]Springer Science+Business Media Dordrecht 2016 ;Water Resources Management is a copyright of Springer, 2016. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-016-1478-4Full text available |
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15 |
Material Type: Article
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Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk ManagementWater resources management, 2019-07, Vol.33 (9), p.3239-3256 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;Water Resources Management is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-019-02301-zFull text available |
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16 |
Material Type: Article
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A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow PredictionWater resources management, 2019-06, Vol.33 (8), p.2907-2923 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;Water Resources Management is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-019-02273-0Full text available |
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17 |
Material Type: Article
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Remote Sensing and GIS Based Groundwater Potential & Recharge Zones Mapping Using Multi-Criteria Decision Making TechniqueWater resources management, 2016-01, Vol.30 (1), p.243-260 [Peer Reviewed Journal]Springer Science+Business Media Dordrecht 2015 ;Springer Science+Business Media Dordrecht 2016 ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-015-1159-8Full text available |
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18 |
Material Type: Article
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Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow ModelingWater resources management, 2020-08, Vol.34 (10), p.3387-3409 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-020-02619-zFull text available |
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19 |
Material Type: Article
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Streamflow Variations in Monthly, Seasonal, Annual and Extreme Values Using Mann-Kendall, Spearmen’s Rho and Innovative Trend AnalysisWater resources management, 2021, Vol.35 (1), p.243-261 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;Springer Nature B.V. 2020. ;ISSN: 0920-4741 ;EISSN: 1573-1650 ;DOI: 10.1007/s11269-020-02723-0Full text available |