Nelvinebi/Climate-Change-Impact-on-Coastal-Ecosystems-in-the-Niger-Delta-Using-ML-Based-Models

Domain:

environment and energy

Record type:

project

Creator:

Nel

Host:

Machine learning–driven assessment of climate change impacts on Niger Delta coastal ecosystems using synthetic environmental data. The project models ecosystem health under climate stressors, supports scenario analysis, and demonstrates AI applications for coastal monitoring, research, and environmental decision-making. Climate Change Impact on Coastal Ecosystems in the Niger Delta Using ML-Based Models 📌 Overview This project applies machine learning to assess the impact of climate change on coastal ecosystems in the Niger Delta using realistic synthetic environmental and oceanographic data. The model predicts ecosystem health under varying climate stressors to support environmental monitoring and policy decisions. 🌍 Key Features Synthetic climate and coastal ecosystem dataset Random Forest–based ecosystem health prediction Feature importance analysis of climate drivers Future climate scenario simulation Policy-relevant ecosystem risk insights 🧪 Dataset Description The dataset simulates key climate and environmental variables: Temperature (°C) Rainfall (mm) Sea level rise (cm) Salinity (ppt) Storm frequency Soil moisture index Target variable: Ecosystem Health Index (0–100) 🤖 Machine Learning Model Algorithm: Random Forest Regressor Task: Regression (ecosystem health prediction) Evaluation metrics: RMSE, R² Score Feature scaling: Min-Max normalization 📊 Outputs Feature importance visualization Ecosystem health prediction scores Scenario-based climate impact assessment ▶️ How to Run pip install -r requirements.txt python climate_change_coastal_ecosystem_ml.py 🧭 Applications Coastal ecosystem monitoring Climate impact assessment Environmental planning and policy support Research and academic demonstrations ⚠️ Disclaimer This project uses synthetic data for research, education, and demonstration purposes. It does not represent real-world measurements. Author: AGBOZU EBINGIYE NELVIN LinkedIn: *linkedin.com 📜 License MIT License

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github.com

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