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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan KESANS : International Journal of Health and Science
Fajar, Benedy
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Agriculture, Biological Sciences & Forestry Chemistry Earth & Planetary Sciences Health Professions Medicine & Pharmacology Physics Public Health

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Analysis of the Influence of Temperature as a Meteorological Factor on Ambient PM 2.5 Concentration in Jambi City Fajar, Benedy
Jurnal KESANS : Kesehatan dan Sains Vol 5 No 1 (2025): KESANS: International Journal of Health and Science
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/kesans.v5i1.463

Abstract

Introduction: Air pollution, especially particulate matter with a diameter of less than 2.5 µm (PM2.5), is a major environmental and public health problem in Indonesia. Meteorological conditions, especially temperature, significantly affect fluctuations in PM2.5 levels. This study aims to analyze the relationship between air temperature and ambient PM2.5 concentrations in Jambi City during the dry and rainy seasons in 2023. Methods: The research employed a quantitative correlation approach using secondary data from the Sultan Thaha Class I Meteorological Station, Jambi. Statistical analysis utilized Pearson and Spearman correlation tests to determine the strength and direction of the relationship. Results and Discussion: Findings show that the average PM2.5 concentration was higher during the dry season (20–110 µg/m³) than in the rainy season (10–50 µg/m³). The Pearson correlation coefficient during the dry season was 0.523 and the Spearman coefficient was 0.547, indicating a moderate positive correlation between temperature and PM2.5 concentration. In contrast, the rainy season showed a weaker correlation (Pearson = 0.285; Spearman = 0.335). The relationship was statistically significant (p < 0.05).Conclusion: Air temperature is positively correlated with PM2.5 concentration in Jambi City, especially during the dry season.
PM2.5 Temporal Pattern in Jambi City: Meteorological Drivers and Air Mass Trajectory Analysis Fajar, Benedy; Damris, Muhammad; Wiharja, Kemas Rahmat Saleh; Mutmainnah, Elma; Mohamad, Noorlin; Handika, Rizki Andre
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Article in Press 2026 (For Upcoming Issue)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v0i0.%p

Abstract

Air pollution, particularly particles with diameter of less or equal than 2.5 micrometers (PM2.5), has become important global health and environmental problem. Jambi City in Sumatra is highly susceptible to this issue, both locally and particularly influenced by forest fires. As early studies were conducted over a short period, this study examined the meteorological factors that influenced PM2.5 levels and estimated the pollutant transport pathways over two years in the post-COVID-19 period (2023-2024). The methods employed were time-series analysis, scatter-plot evaluation, multiple linear regression analysis, and backward trajectory modeling using HYSPLIT. The results show that the average PM2.5 concentration in 2023 (30.53 µg/m³) was higher than in 2024 (25.36 µg/m³), with night-time levels generally exceeding day-time levels. 3.69% of the days exceeded Indonesia’s daily air quality standard, while 90.83% surpassed the stricter WHO guideline. Meteorological factors explained only 23–38% of PM2.5, with temperature positively correlated, wind speed showing mixed effects, and humidity and rainfall negatively correlated.. The major PM₂.₅ sources influenced by the southeast–South Sumatra, particularly South Sumatra, highlighting the strong stimulus of transboundary emissions alongside local sources. In the future, studies focusing on chemistry-based source apportionment are needed to accurately separate each contributing source.
Co-Authors Kemas Rahmat Saleh Wiharja Mohamad, Noorlin Muhammad Damris Mutmainnah, Elma Rizki Andre Handika