kolacodes-db/Geospatial-and-Machine-Learning-Hydrogeological-Modelling-

This work represents one of the most comprehensive multi-index environmental impact assessments of dumpsite in Nigeria including 10 environmental contamination indices 3-pathway health risk modeling for both adults and children - 6 irrigation suitability indices - ML-driven water suitability classification - GIS-based spatial risk virtualization # Geospatial-and-Machine-Hydrogeological-Modelling- This work represents one of the most comprehensive multi-index environmental impact assessments of dumpsite in Nigeria including 10 environmental contamination indices 3-pathway health risk modeling for both adults and children - 6 irrigation suitability indices - ML-driven water suitability classification - GIS-based spatial risk virtualization # 🌍 Ajakanga-ContamRisk: Heavy Metal Contamination & Risk Assessment at Ajakanga Dumpsite, Ibadan, Nigeria > **A comprehensive, Q1-standard environmental geochemistry framework for assessing heavy metal contamination, human health risk, irrigation suitability, and machine learning-driven water quality classification at the Ajakanga open dumpsite, Oluyole LGA, Ibadan, Southwestern Nigeria.** --- ## 📋 Table of Contents - Overview - Study Area - Key Findings at a Glance - Dataset - Modules - Environmental Contamination Indices - Irrigation Suitability Indices - Human Health Risk Assessment - Machine Learning Classification - GIS Spatial Modeling - Installation - Usage - Results & Interpretation - Project Structure - Citations - Author --- ## 🔬 Overview This repository presents a **production-grade, end-to-end environmental intelligence framework** developed for the **Ajakanga open dumpsite** in Ibadan, Oyo State, Nigeria. The framework integrates **five scientific domains** into a unified Python pipeline: 1. 🧪 **Hydrogeochemistry** — Major ions, heavy metals, physicochemical characterization 2. ⚠️ **Environmental Contamination Indices** — 9 indices (CF, Cd, PLI, NPI, HMEI, Igeo, EF, RI, MI, HPI) 3. 🏥 **Human Health Risk Assessment** — Carcinogenic & non-carcinogenic risks for adults & children (3 pathways) 4. 🌾 **Irrigation Suitability** — SAR, Na%, Kelly Ratio, RSC, Mg Hazard, WQI 5. 🤖 **Machine Learning** — Decision Tree classification for water suitability 6. 🗺️ **GIS Spatial Modeling** — Suitability maps for drinking & irrigation water ### Research Object …