GIS, Applied Computing and Data Science for Water Management

Name: GIS, Applied Computing and Data Science for Water Management | Selected Papers of the 4th International Conference GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones
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Selected Papers of the 4th International Conference GIRE3D Participatory and Integrated Management of Water Resources in Arid Zones

Noamen Rebai Aniss Moumen Mohamed El Bouhaddioui(Editor)

Springer (Publisher)

1st Edition

Published on 6. August 2024

VIII, 257 pages

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978-3-031-63038-5 (ISBN)

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Content

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
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GIS, Applied Computing and Data Science for Water Management

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