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Bherney/Temporal-Variation-of-Air-Pollutants-and-LST-2019-2024-in-Nigeria-Using-Python

Domaine:

environment and energyclimate

Type de record:

project
Créateur:
Bhe
Hôte:
This repository presents an analysis of the Temporal variations of air pollutants (NO₂, CO, SO₂, O₃) and Land Surface Temperature (LST) across Nigeria from January 2019 to December 2024. # Temporal Variation of Air Pollutants and Land Surface Temperature (2019–2024) This repository presents an analysis of the **seasonal and temporal variations of air pollutants** (NO₂, CO, SO₂, O₃) and **Land Surface Temperature (LST)** across Nigeria from **January 2019 to December 2024**. The study highlights seasonal cycles, pollutant intensity levels, and the interactions between surface warming and ozone formation. --- ## 📂 Repository Structure - **data/** → # Input datasets (air pollutants, LST) - **plots/** → # Generated figures (temporal trend charts) - **script/** → # Scripts for analysis and visualization - **README.md** → # Project documentation --- ### Key Findings Nitrogen Dioxide (NO₂) - Exhibited a distinct seasonal cycle. - High intensity typically occurred in dry season months (November–March). Sulfur Dioxide (SO₂) - Concentrations remained relatively constant over the study period. - No clear seasonal variation observed. - Occasional spikes likely caused by localized emissions or industrial events. Carbon Monoxide (CO) - Showed a clear and consistent seasonal cycle. - High concentrations during the dry season. - Low concentrations during the wet season due to enhanced atmospheric dispersion. Ozone (O₃) - Seasonal maxima occurred between March–May. - Seasonal minima occurred between September–November. - Trends suggest a photochemical link between surface warming and ozone generation. Land Surface Temperature (LST) - Showed consistent seasonal variation. - Peaks in the transitional months (March–April). - Troughs around the peak wet season (July–August). - Seasonal LST patterns appeared synchronized with O₃, supporting a photochemical connection. --- ## Output Visualizations - Temporal trends of NO₂, SO₂, CO, and O₃ (2019–2024). → View Here - Temporal trend of LST → View Here --- ## Citation If you use this repository, please cite it as: Waheeb, T.B.. (2025). Temporal Variation of Air Pollutants and Land Surface Temperature (2019–20 …

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