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

Domaine:

environment and energy

Type de record:

project

Créateur:

Nel

Hôte:

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

Visit

github.com

Similaires

Nelvinebi/Climate-Change-and-Coastal-Vulnerability-Modeling-in-the-Niger-Delta-Using-Machine-LearningNelvinebi/Sediment-Transport-and-Coastal-Morphodynamics-Modeling-in-the-Niger-Delta-Using-MLNelvinebi/Harmful-Algal-Bloom-Prediction-in-Niger-Delta-Coastal-Waters-Using-Remote-Sensing-and-MLNelvinebi/Land-Use-Land-Cover-Change-Analysis-in-the-Niger-Delta-Using-Multi-Temporal-Satellite-Data-and-MLNelvinebi/Coastal-Flood-Early-Warning-System-for-the-Niger-DeltaNelvinebi/Shoreline-Erosion-and-Accretion-Analysis-in-the-Niger-Delta-Using-Satellite-Imagery-and-ML

Nelvinebi/Climate-Change-and-Coastal-Vulnerability-Modeling-in-the-Niger-Delta-Using-Machine-Learning

Climate Change & Coastal Vulnerability Modeling in the Niger Delta Using Machine Learning: an end-to

Nelvinebi/Sediment-Transport-and-Coastal-Morphodynamics-Modeling-in-the-Niger-Delta-Using-ML

Machine learning–based modeling of sediment transport and coastal morphodynamics in the Niger Delta

Nelvinebi/Harmful-Algal-Bloom-Prediction-in-Niger-Delta-Coastal-Waters-Using-Remote-Sensing-and-ML

Machine learning–driven prediction of harmful algal blooms in Niger Delta coastal waters using synth

Nelvinebi/Land-Use-Land-Cover-Change-Analysis-in-the-Niger-Delta-Using-Multi-Temporal-Satellite-Data-and-ML

Machine learning–based land use and land cover change analysis for the Niger Delta using synthetic m

Nelvinebi/Coastal-Flood-Early-Warning-System-for-the-Niger-Delta

An AI-driven coastal flood early warning system for the Niger Delta using realistic synthetic remote

Nelvinebi/Shoreline-Erosion-and-Accretion-Analysis-in-the-Niger-Delta-Using-Satellite-Imagery-and-ML

This project applies machine learning to analyze shoreline erosion and accretion in the Niger Delta