niniola-creator/air_quality_analysis

This is a repository that shows the air quality analysis of particulate matter in the southwestern region of Nigeria. --- # Air Quality Analysis of PM₁₀ in Badagry, Nigeria This project analyzes ambient air quality in Badagry, a peri-urban area in Lagos State, Nigeria, by examining PM₁₀ (Particulate Matter ≤ 10μm) using geochemical data obtained through SEM-EDX (Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy) analysis. ## Objective - To identify pollution trends and element concentrations using Python and `pandas`. - To generate visualizations using `matplotlib` and `seaborn` to highlight pollution patterns. - To derive measures for environmental and public health solutions. ## Dataset Overview The dataset contains PM₁₀ concentration values (in weight %) of elements from three sample locations: - **Market Area** - **Residential Area** - **Traffic Area** Each sample includes elements like: `Si`, `Mg`, `C`, `O`, `Ca`, `Na`, `K`, `Al`, `P`, `Mn`, `Pb`. ## Tools Python, Jupyter Notebook, pandas, matplotlib, seaborn. ## Skills Data Cleaning, Data Analysis, Exploratory Data Analysis (EDA), Visualizations. ## Key Findings - **Traffic Area** recorded the **highest lead (Pb)** concentrations, indicating pollution from vehicles. - **Quartz (Si)** and **aluminosilicates** (Si, Al, O) dominate the PM₁₀ across all zones. - **Market Area** also had elevated levels of heavy metals, exposing traders and consumers to potential health risks. ## Environmental Implications The study confirms the presence of harmful airborne particles with geochemical signatures consistent with those of road dust, vehicular emissions and anthropogenic activities. These have known links to respiratory issues such as silicosis and heavy metal poisoning. ## Recommendations - Regular air quality monitoring in high-traffic and market areas. - Public health awareness campaigns about PM₁₀ exposure. - Implementing cleaner transport policies and environmental regulations. ## Project Structure ```bash ├── pm_10_badagry_sw.csv ├── Air_quality_data.ipynb └── README.md