Machine Learning Applications for Terminal Complex Reservoir Water Quality — Biskra, Algeria).
# Machine Learning for Groundwater Pollution Assessment and Mapping
## Applications in the Terminal Complex Aquifer (Northeast Algeria)
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## Overview
This repository contains the official source files for the academic book:
**Machine Learning for Groundwater Pollution Assessment and Mapping**
The book presents an integrated scientific framework for groundwater quality assessment by combining:
- Hydrogeology
- Hydrogeochemistry
- Environmental Geochemistry
- Geographic Information Systems (GIS)
- Machine Learning
- Artificial Intelligence
- Statistical Analysis
- Human Health Risk Assessment
The project is developed as an **open academic resource** and will be continuously updated.
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# Author
**Dr. Azzeddine REGHAIS**
PhD in Hydrogeology
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# Book Website
The online version of the book is published using **Quarto Book** and **GitHub Pages**.
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# Repository Structure
```
.
├── _quarto.yml
├── index.qmd
├── about.qmd
├── preface.qmd
├── styles.css
├── references.bib
├── chapters/
├── code/
│ ├── R/
│ └── Python/
├── data/
├── images/
├── downloads/
└── docs/
```
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# Main Topics
- Groundwater Quality
- Potentially Toxic Elements
- Pollution Indices
- Human Health Risk Assessment
- Machine Learning
- Artificial Neural Networks
- Multiple Linear Regression
- GIS Mapping
- Hydroinformatics
- Environmental Risk Assessment
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# Software Used
- Quarto
- R
- Python
- QGIS
- ArcGIS
- Visual Studio Code
- Git
- GitHub
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# Reproducibility
All examples included in this book are designed to be reproducible.
The repository includes:
- Datasets
- Source code
- Figures
- Maps
- Supplementary materials
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# Citation
Please cite both:
- The academic book.
- The original peer-reviewed journal publication.
Citation information will be updated after publication.
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# Contributing
Researchers and readers are welcome to submit:
- Corrections
- Suggestions
- Improvements
- New references
- Programming examples
Constructive scientifi …