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mustaf2007/Air-Pollution-Comparison-Across-Six-African-Capitals

Domaine:

environment and energy
Créateur:
mus
Hôte:
# 🌍 Air-Pollution-Comparison-Across-Six-African-Capitals ## 📊 Satellite-Derived NO₂ Analysis (2019–2024) This project presents an interactive environmental dashboard comparing atmospheric nitrogen dioxide (NO₂) levels across six major African capitals: * Cairo 🇪🇬 * Johannesburg 🇿🇦 * Lagos 🇳🇬 * Addis Ababa 🇪🇹 * Nairobi 🇰🇪 * Mogadishu 🇸🇴 The analysis uses satellite-derived tropospheric NO₂ data from 2019 to 2024 to evaluate long-term pollution levels and trend dynamics. --- ## 🎯 Project Goals * Compare average NO₂ concentrations across capitals * Identify pollution trends (increasing or decreasing) * Visualize structural differences in urban emission intensity * Deliver a fully interactive, server-free dashboard --- ## 🛰 Data Source * **Satellite**: Sentinel-5P (TROPOMI) * **Measurement**: Tropospheric NO₂ Column Density * **Processing Platform**: Google Earth Engine * **Study Period**: 2019–2024 * **Spatial Scope**: 20 km buffer around each capital --- ## 📈 Methodology 1. Extracted annual mean NO₂ values per capital using Google Earth Engine 2. Calculated: * 6-year average concentration * Linear regression slope for trend analysis 3. Built interactive visualizations using Plotly Trend model: NO₂ = α + β × Year Where: * β > 0 → Increasing pollution * β < 0 → Decreasing pollution --- ## 🔎 Key Findings * **Cairo** recorded the highest average NO₂ concentration and the strongest upward trend. * **Johannesburg** maintains high levels but shows a declining trajectory. * **Mogadishu** exhibits the lowest overall NO₂ concentrations. * Significant variation suggests structural differences in urban scale, transport density, and industrial intensity across capitals. --- ## 🖥 Dashboard Features * Executive Summary * KPI Cards (Highest, Lowest, Fastest Increase) * Ranking Bar Chart * Level vs Trend Scatter Analysis * Multi-Year Time Series * Multi-Theme Support: * Light * Dark * Ocean * Forest * Downloadable Original Dataset * Fully Responsive (Mobile + D …

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