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Intro -- Preface -- Contents -- Bibliometry and Literature Review -- Water Research in the Age of AI: A Bibliometric Heuristic Analysis for Trends and Opportunities -- 1 Introduction -- 2 Methodological Approach -- 3 Macroscopic Overview of Scopus -- 3.1 Evolution Over Time -- 3.2 Broad Disciplinary Pattern -- 3.3 Country Profiles and Collaboration Networks -- 4 Reducing the Corpus and Maintaining the Disciplinary Structure -- 5 Deepening with Incremental Bibliometric Approach -- 5.1 Insights from the Main Publication Sources -- 5.2 Key Topics in Water-AI Research -- 5.3 Main Trends Arising from the Topics -- 5.4 Terminology Analysis: "Keyphrases" -- 5.5 Two Cases of More In-Depth Terminology Analysis -- 6 Different Aspects of Collaboration -- 6.1 The Major Disciplines of International Collaboration -- 6.2 International Collaboration: General Trend -- 6.3 Niche Subcategories with the Highest Impact -- 6.4 Relative Position of the Corporate Collaboration -- 6.5 Relationship Between Industry and Patents? -- 6.6 The Main Issues for Industrial Collaboration -- 7 Brief Cross-Check Analysis on Incites -- 7.1 Complementarity of the Two Frameworks -- 7.2 Main Research Topics -- 7.3 Effect of International Collaboration -- 7.4 Industrial and Inventive Potential -- 8 Summary and Discussion -- References -- A Bibliometric Analysis and Classification of Research on Water Resources Management Based on 17SDGs and ANZSRC Indicators -- 1 Introduction -- 2 Methods and Materials -- 2.1 Data Collection -- 2.2 Bibliometric Analysis: Vosviewer -- 3 Results -- 3.1 Chronology of Publications -- 3.2 Bibliometric Analysis Using VosViewer -- 4 Discussions and Conclusions -- References -- Overview of the Evolution of Marine Intrusion Research from 2000 to 2022 -- 1 Introduction -- 2 Methodological Approach -- 3 Results and Discussions -- 3.1 Most Relevant Sources.
3.2 Highest Productive Authors -- 3.3 Most Relevant Documents -- 3.4 Co-occurrence of Keywords -- 4 Limitations -- 5 Conclusions -- References -- Climate Change and Water Resources in the Maghreb: What Are the Strategies for Adaptation? -- 1 Introduction -- 1.1 Temperature Trends -- 1.2 Precipitation Largely Absorbed by Intense Evaporation -- 1.3 Increasingly High Utilization Indices -- 1.4 Are Water-Related Risks Well Controlled and Mitigated ? -- 2 Adaptation Strategy -- 2.1 Climate Change Mitigation Strategies -- 2.2 Widespread Water-Efficient Irrigation -- 2.3 Improving Irrigation Performance -- 2.4 Wastewater: A Valuable Resource -- 2.5 What Socio-economic Adaptation Ensures Equitable Access to Water Services? -- 2.6 Seawater: An Inexhaustible Resource -- 3 Conclusion -- References -- Are Droughts Becoming More Severe or Longer in Morocco Based on the Standardized Precipitation Evapotranspiration Index for 1979-2022? -- 1 Introduction -- 2 Study Area -- 3 Data Used -- 3.1 Weather Station -- 3.2 ERA5 Reanalysis Data -- 4 Methods -- 4.1 Statistical Methods for ERA5 Reanalysis Evaluation -- 4.2 Standardized Precipitation Evapotranspiration Index (SPEI) -- 4.3 Drought Related Indicators -- 5 Results and Discussion -- 5.1 Evaluation of ERA5 Reanalysis -- 5.2 Spatial and Temporal Variation of Drought -- 5.3 Drought Related Indicators -- 5.4 Drought Trends -- 6 Summary and Conclusions -- References -- GIS and Numerical Modeling -- Assessing the Future Climate Change Impacts on the Foum El Oued Groundwater Aquifer in Laâyoune, Morocco: A Numerical Modeling Approach -- 1 Introduction -- 2 Hydrogeological Setting and Extension of the Model -- 3 Discretization of the Study Area -- 4 Steady-State Calibration and Sensitivity Analysis -- 5 Simulation in Transient State -- 6 Seawater Intrusion Modeling -- 7 Conclusion -- References.
Numerical Modeling of the Future Climate Change Impacts on the Ghis-Nekkor Aquifer Under RCP4.5 and RCP8.5 (Al Hoceima, North of Morocco) -- 1 Introduction -- 2 Geology and Extension of the Aquifer -- 3 Numerical Modeling on the Ghis-Nekkor Aquifer -- 4 Conclusion -- References -- Managing Groundwater Withdrawal Using a DSS Based on GIS-MODFLOW Coupling Tool: A Case Study of the Berrechid Aquifer, Morocco -- 1 Introduction -- 2 Hydro-Climatological, Geological and Hydrogeological Context -- 3 Groundwater Modeling of the Berrechid aquifer -- 4 Steady-State Calibration -- 5 Simulation in Transient Conditions -- 6 Decision Support System Using ArcGIS-MODFLOW Coupling -- 7 Conclusions -- References -- Integration of Water Quality Index (WQI) and Geographic Information Systems (GIS) to Assess Springs Water Quality in the El Hajeb-Meknes Area, Morocco -- 1 Introduction -- 2 Material and Methods -- 2.1 Study Area -- 2.2 Sampling -- 2.3 Methods -- 3 Results and Discussion -- 3.1 Descriptive of Water Parameters Analyzed -- 3.2 Correlation Matrix Analysis -- 3.3 Principal Components Analysis (PCA) -- 3.4 Water Quality Index (WQI) -- 4 Conclusion -- References -- Long-Term Assessment of Spatiotemporal Silting Patterns in Moroccan Dams via Bathymetry-GIS Integration -- 1 Introduction -- 2 Methods -- 2.1 Acquisition and Preprocessing of Bathymetric Data -- 2.2 Crafting the GIS Application for Spatiotemporal Analysis -- 2.3 Computer Tools Used for the Development of GIS -- 2.4 Evaluation of the Results -- 3 Results -- 3.1 Temporal and Spatial Changes in Siltation Patterns -- 3.2 Identifying Areas Prone to Vulnerability -- 3.3 Temporal Trend Analysis -- 3.4 Implications for Water Resources Management -- 3.5 Limitations -- 4 Discussion -- 4.1 Analysis of Natural Conditions Explaining the Produced Maps-A Case Study of the Oum Errbia Watershed.
4.2 Additional Contributions of the Developed GIS Application -- 4.3 Implications for Water Resource Management and Siltation Mitigation Strategies -- 4.4 Prospects for Future Research -- 5 Conclusion -- References -- Artificial Intelligence -- Machine Learning Based Statistical Downscaling Approach for the Assessment of Climate Change Impact on Precipitation in Damaturu, Nigeria -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Study Data -- 2.3 Proposed Methodology -- 2.4 Performance Indices of the Models -- 2.5 Artificial Neural Network (ANN) -- 3 Results and Discussions -- 4 Conclusion -- References -- Towards Improved Rainfall Forecast Within the Ziz Basin Area: A Focused Exploration of Machine Learning Application -- 1 Introduction -- 2 Impact of Accurate Precipitation Forecasting on Different Sectors -- 3 Challenges in Predicting Precipitation -- 4 Conventional Methods for Rainfall Forecast -- 5 The Potential of Machine Learning in Rainfall Prediction -- 6 Study Area and Dataset -- 6.1 Exploring the Geographical Significance of the Ziz Basin -- 6.2 A Comprehensive Description of the Collected Dataset -- 6.3 Pre-processing Techniques -- 6.4 Results After Pre-processing -- 7 Conclusion and Perspectives -- References -- Evaluation of the Effects of Climate Change on Surface Water Resources at the Ain Kwachia Dam Using Machine Learning Between 2008 and 2021 -- 1 Introduction -- 2 Materiel and Method -- 3 Study Area -- 4 Methodology -- 5 Land Use -- 6 Data -- 7 Results and Discussion -- 8 Conclusion -- References -- The Use of Artificial Intelligence to Optimise Water Resources: A Comprehensive Assessment -- 1 Introduction -- 2 Current Context of Global Water Management -- 2.1 The Current State of Global Water Management -- 2.2 The Role of Population Density in the Need for Intelligent Water Management.
2.3 Preserving Water Quality, Distribution Efficiency and Diversified Use -- 3 Areas of Intelligent Water Management: Towards Innovative and Sustainable Use -- 3.1 Wastewater Recycling: Exploring the Benefits and Challenges -- 3.2 Water Distribution: Strategies for Intelligent Systems -- 3.3 Rainwater Harvesting: Optimization Potential with AI, DL and IoT -- 3.4 Irrigation: Improving Farming Practices Through Advanced Technologies -- 4 Polyvalent Models and Algorithms: Towards Intelligent Adaptability in Water Management -- 4.1 Unique Data Requirements for Water Management -- 4.2 The Need for Versatile AI Models and Algorithms -- 4.3 Adaptability of Models to Varied Data Sets and Scenarios -- 5 Integrating AI, DL and IoT in the Design of an Intelligent Water Management System -- 5.1 Synergy of AI, DL and IoT Techniques -- 5.2 Examples of Successful Implementation and Impact on Sustainability -- 5.3 Potential Benefits, Challenges and Future Prospects -- 6 Case Studies and Statistical Analyses in the Application of AI, DL and IoT in Water Management -- 7 Conclusion: Towards Innovative and Sustainable Water Management -- References.
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Info
Application of geographic information systems in hydrology and water resources management : proceedings of the HydroGIS'96 conference held in Vienna, Austria, from 16-19 Aprile 1996 ... organized by Institut fur Wasserwirtschaft, Hydrologie und knostruktiven Wasserbau, Universitat fur Bodenkultur, Vienna ... / edited by K. Kovar, H. P. Nachtnebel
