🌊 Ocean Pollution Monitoring System

An open-source system for monitoring ocean pollutants at Mombasa port using spectrophotometry, USETox modeling, and GIS analysis.

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📋 About

This project aims to monitor ocean pollution levels at Mombasa port through a combination of:

  • Real-time data collection using spectrophotometry
  • Predictive modeling using USETox analysis
  • Spatial analysis using GIS tools
  • Public engagement and environmental awareness

We strive to provide accurate and timely information about ocean health to support conservation efforts and marine resource management.

🚀 Setup Guide

Installation Instructions

  1. Clone the repository: 
    git clone https://github.com/iannoh-lab/ocean-pollution-monitoring-system.git
cd ocean-pollution-monitoring-system
  2. Install dependencies: 
    pip install -r requirements.txt

Environment Setup

  1. Create a virtual environment: 
    python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
  2. Set environment variables: 
    POLLUTION_MONITORING_API_KEY=your_api_key
POLLUTION_MONITORING_ENDPOINT=https://api.yourservice.com

Quick Start

python main.py

Then open your browser to http://localhost:5000

❓ Frequently Asked Questions

What are the project goals?

This project aims to monitor ocean pollution levels through real-time data collection, machine learning analysis, and public engagement. We provide accurate information about ocean health to support conservation efforts.

How can I access the data?

Data collected by this project is available through:

  • Our GitHub repository
  • CSV format downloads
  • API endpoints for real-time data querying

How can I contribute?

We welcome contributions! You can:

  1. Fork the repository
  2. Make your changes
  3. Submit a pull request

See CONTRIBUTING.md for detailed guidelines.

What are the technical details?

Our system uses:

  • Language: Python
  • Libraries: Pandas, NumPy, Flask
  • Analysis: Machine learning models for trend prediction
  • Data Processing: Spectrophotometric analysis

🛠️ Technology Stack

Core Technologies

  • Python - Primary programming language
  • Flask - Web framework
  • Pandas - Data manipulation
  • NumPy - Numerical computing

Analysis & Modeling

  • USETox Modeling - Environmental risk assessment
  • GIS Analysis - Spatial data analysis
  • Spectrophotometry - Pollutant measurement
  • Machine Learning - Trend prediction

Deployment

  • Docker - Containerization
  • Kubernetes - Orchestration

📁 Project Structure

ocean-pollution-monitoring-system/
├── main.py                    # Application entry point
├── requirements.txt           # Python dependencies
├── docker-compose.yml         # Docker setup
├── deployment-manifest.yaml   # Kubernetes deployment
├── src/                       # Source code
├── data/                      # Data files
├── docs/                      # Documentation
│   ├── SETUP_GUIDE.md
│   └── faq.md
└── README.md                  # Main documentation

⚡ Quick Start

New to the project? Start here!

Step 1: Prerequisites

Ensure you have Python 3.7+ installed on your system.

Step 2: Clone & Install

git clone https://github.com/iannoh-lab/ocean-pollution-monitoring-system.git
cd ocean-pollution-monitoring-system
pip install -r requirements.txt

Step 3: Configure

Create a .env file with your configuration settings.

Step 4: Run

python main.py

Step 5: Access

Visit http://localhost:5000 in your browser.

🤝 Community

Join our community to discuss, share ideas, and collaborate!

Contributing

We welcome contributions in the following areas:

  • Bug fixes
  • Feature development
  • Documentation improvements
  • Data collection and analysis
  • Testing and quality assurance

📚 Resources

Documentation

External Resources

Related Links