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ntombizodwamnisi/Secunda-Air-Watch

Domaine:

environment and energy

Type de record:

softwaretools
Créateur:
nto
Hôte:
A Streamlit air-quality monitoring dashboard for Secunda, South Africa. # Secunda Air Watch 🌍 A Streamlit-based air-quality monitoring dashboard for **Secunda, Mpumalanga, South Africa**. Secunda Air Watch collects air-quality data from the Open-Meteo Air Quality API, processes the data using Python, calculates South African Air Quality Index (SA AQI) bands, stores historical records in a SQLite database, and presents the results through an interactive dashboard. ## 📊 Project Overview The purpose of this project is to provide a simple way to monitor air-quality conditions in Secunda and analyse pollutant levels over time. The dashboard focuses on pollutants including: * PM2.5 * PM10 * Carbon Monoxide (CO) * Nitrogen Dioxide (NO₂) * Sulphur Dioxide (SO₂) * Ozone (O₃) The project uses **South African AQI bands as the primary air-quality assessment**, while US AQI is also displayed as a secondary reference. ## ✨ Features * 🌍 Air-quality monitoring for Secunda * 📊 Current pollutant measurements * 🇿🇦 South African AQI band calculations * 🔎 Identification of the main pollutant * 📈 Interactive air-quality trends * 🗄️ SQLite database for storing air-quality records * 📊 SQL-based data analysis * 📅 Daily air-quality summaries * 🚨 Identification of the worst air-quality day * 📥 CSV data export * 📊 Excel report export * 🔄 Forecast analysis for different time ranges ## 🗄️ SQL & Database The project uses **SQLite** to store air-quality records. The database stores information such as: * Timestamp * PM2.5 * PM10 * Carbon Monoxide * Nitrogen Dioxide * Sulphur Dioxide * Ozone * US AQI * South African AQI band * Dominant pollutant SQL queries are used to calculate averages, group AQI bands, and generate daily air-quality summaries. ## 🇿🇦 South African AQI Analysis The project calculates South African AQI bands for individual pollutants and determines the overall air-quality band based on the highest pollutant band. The dashboard also identifies the pollutant contributing most significantly to the current overall AQI band. ## 🛠️ Technolo …

Visit

github.com

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