Spatial Evaluation of Ambient Air Quality in Dobut Village, Manokwari
DOI:
https://doi.org/10.54783/endlessjournal.v9i1.367Keywords:
Ambient, PM₂.₅, NO₂, SO₂.Abstract
Evaluation of ambient air quality conditions in Dobut Village, Manokwari, through a spatial approach based on 12 monitoring points. The parameters measured in this study consisted of PM₂.₅, NO₂, and SO₂ during the dry season. The data analysis used the Inverse Distance Weighting (IDW) interpolation method. The existing results show that most areas of Dobut Village have air quality in the "good - moderate" category, but there are several points with PM₂.₅, NO₂, and SO₂ concentrations within the threshold approaching the WHO limit, namely around the industrial center area located in the suburban location. This study emphasizes the importance of spatial-based air quality monitoring in rural areas that are starting to develop in mobility and infrastructure. The measurement results show that the suburban zone has higher PM₂.₅, NO₂, and SO₂ concentrations than the urban area. This is a comparison that has been the general assumption that suburban areas are cleaner. This area has a higher concentration due to industrial activities and vehicle activities by residents and industrial workers in Dobut Village so that the area becomes unclean.
References
Ahmad, O., Khalid, Z., Tahir, M., & Uppal, M. (2025). Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features. arXiv preprint arXiv:2501.11270.
Badawy, H. (2025). Recent trends in spatial modeling studies of air quality (2010–2023). Earth Science Informatics, 18(2), 193.
Beelen, R., Raaschou-Nielsen, O., Stafoggia, M., Andersen, Z. J., Weinmayr, G., Hoffmann, B., ... & Hoek, G. (2014). Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project. The lancet, 383(9919), 785-795.
BMKG. (2025). Informasi Kualitas Udara Indonesia. Retrieved from: https://iklim.bmkg.go.id/id/kualitas-udara-indonesia/
Brook, R. D., Rajagopalan, S., Pope, C. A., Brook, J. R., Bhatnagar, A., Diez-Roux, A. V., & Kaufman, J. D. (2010). Participate matter air pollution and cardiovascular disease. Circulation, 121(21), 2331-2378.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., ... & Forouzanfar, M. H. (2017). Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. The lancet, 389(10082), 1907-1918.
Harrison, R. M., & Yin, J. (2000). Particulate matter in the atmosphere: which particle properties are important for its effects on health?. Science of the total environment, 249(1-3), 85-101.
Hoek, G., Krishnan, R. M., Beelen, R., Peters, A., Ostro, B., Brunekreef, B., & Kaufman, J. D. (2013). Long-term air pollution exposure and cardio-respiratory mortality: a review. Environmental health, 12(1), 43.
Institute for Health Metrics and Evaluation. (2018). Finding from the Global Burden of Disease Study 2017. IHME
Jacob, D. J. (1999). Introduction to Atmospheric Chemistry. Princeton University Press.
Jerrett, M., Burnett, R. T., Ma, R., Pope III, C. A., Krewski, D., Newbold, K. B., ... & Thun, M. J. (2005). Spatial analysis of air pollution and mortality in Los Angeles. Epidemiology, 16(6), 727-736.
Kumar, P., Morawska, L., Birmili, W., Paasonen, P., Hu, M., Kulmala, M., ... & Britter, R. (2014). Ultrafine particles in cities. Environment international, 66, 1-10.
Li, L., Wu, J., Hudda, N., & Sioutac, C. (2013). Application of land use regression and GIS in spatial distribution of particulate matter. Atmospheric Enviroment, 79, 286-296. https://doi.org/10.1016/j.atmosenv.2013.06.055
Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., ... & Pelizzari, P. M. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet, 380(9859), 2224-2260.
Lukman, K. M., Hastuti, L. P., Oktavia, D., Pratiwi, D., Uchiyama, Y., & Harding, D. (2025). Towards blue skies: A comprehensive review and regional mapping of ambient air quality in Indonesian cities. Journal of Environmental Management, 389, 126132.
Norford, L. K., & Britter, R. (2014). Ultrafibe particles in Cities. Enviroment International, 66, 1-10. https://doi.org/10.1016/j.envint.2014.01.013
Peraturan Pemerintah Republik Indonesia Nomor 22 Tahun 2021 Tentang Penyelenggaraan Perlindungan dan Pengelolaan Lingkungan Hidup.
Seinfeld, J. H., & Pandis, S. N. (2016). Atmospheric Chemistry and Physics: Form Air Pollution to Climate Change. Wiley.
Shah, S. R. (2025). Modeling Urban Air Quality: Impact of Spatial Wind Variation and Constant Removal on Pollution Dispersion in Delhi. International Journal of Scientific Research in Science, Engineering and Technology, 12(3), 17-24.
Stanaway, J. D., Afshin, A., Gakidou, E., Lim, S. S., Abate, D., & Murray, C. J. L. (2018). Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks. The Lancet, 392(10159), 1923–1994. https://doi.org/10.1016/S0140-6736(18)32225-6
Sultra-AQI. (2025). Resume Rerata Kualitas Udara Harian Desa/Kelurahan se-Sulawesi Tenggara. Retrieved from: https://sultra-aqi.envirur.com/resume-rerata-kualitas-udara-harian-desa-kelurahan-se-sulawesi-tenggara-2025-09-22-0038
World Health Organization. (2021). WHO Global Air Quality Quidelines: PM₂.₅PM, CO, NO₂, SO₂, O₂. WHO.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
