Meteorological baseline for air-quality assessment in a very wet tropical lowland

Authors

  • Waode Alkamalia Faculty of Teacher Training and Education, Universitas Halu Oleo, Kendari 93231, Indonesia, Indonesia
  • La Sahara Faculty of Teacher Training and Education, Universitas Halu Oleo, Kendari 93231, Indonesia, Indonesia
  • Nilawati Ute Faculty of Teacher Training and Education, Universitas Halu Oleo, Kendari 93231, Indonesia, Indonesia
  • Juwitriani Alwi Nutrition Study Program, Faculty of Health, Institut Kesehatan dan Teknologi Buton Raya, Buton 93721, Indonesia, Indonesia
  • Nunik Sulistyaningtyas Safety Engineering Study Program, Institut Teknologi dan Kesehatan Tri Tunas Nasional, Makassar 90235, Indonesia, Indonesia

DOI:

https://doi.org/10.61511/evojes.v3i2.2026.3919

Keywords:

air quality, Central Kalimantan, Kapuas Regency, meteorological baseline, NASA POWER, Schmidt-Ferguson climate classification, tropical lowland

Abstract

Background: Meteorological baselines are essential for interpreting ambient air-quality dynamics in humid tropical lowlands because rainfall, humidity, temperature, and wind jointly regulate wet deposition, pollutant dilution, atmospheric stagnation, and smoke transport. This study characterizes the climatic and dispersion-relevant meteorological setting of the PT United Agro Indonesia study area in Kapuas Regency, Central Kalimantan, Indonesia. Methods: Monthly meteorological data for 2011-2024 were compiled from the NASA POWER source-native dataset at -2.5486° latitude and 114.6967° longitude, approximately 5 m above sea level. Rainfall was classified using the Schmidt-Ferguson Q index, and rainfall, 2-m air temperature, relative humidity, wind direction, and wind speed were evaluated through descriptive climatological analysis. Findings: The study area had an average of 0.86 dry months, 0.64 humid months, and 10.50 wet months per year, producing a Q value of 8.16 and a Type A very wet climate. Mean annual rainfall was 2,878 mm, with the highest annual total in 2020 (3,865 mm) and the lowest in 2023 (2,245 mm). Mean annual air temperature was 26.5 °C, relative humidity averaged 88.4%, and monthly wind speeds were consistently very low, with a mean of 0.088 m s-1. Southeast and east winds dominated the monthly wind field. Conclusion: The site is persistently humid but still has a mid-year to early late-year rainfall minimum and weak atmospheric ventilation, conditions that can intensify pollutant accumulation when biomass burning, road dust, or operational emissions occur. Novelty/Originality of this article: The article provides a site-specific, meteorological baseline for air-quality assessment in a data-sparse tropical lowland by integrating Schmidt-Ferguson climate classification with dispersion-relevant humidity and wind metrics.

References

Field, R. D., Van Der Werf, G. R., & Shen, S. S. P. (2009). Human amplification of drought-induced biomass burning in Indonesia since 1960. Nature Geoscience, 2(3), 185–188. https://doi.org/10.1038/ngeo443

Field, R. D., Van Der Werf, G. R., Fanin, T., Fetzer, E. J., Fuller, R., Jethva, H., Levy, R., Livesey, N. J., Luo, M., Torres, O., & Worden, H. M. (2016). Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought. Proceedings of the National Academy of Sciences of the United States of America, 113(33), 9204–9209. https://doi.org/10.1073/pnas.1524888113

Hein, L., Spadaro, J. V., Ostro, B., Hammer, M., Sumarga, E., Salmayenti, R., Boer, R., Tata, H., Atmoko, D., & Castañeda, J. P. (2022). The health impacts of Indonesian peatland fires. Environmental Health, 21, 62. https://doi.org/10.1186/s12940-022-00872-w

Huang, F., Li, X., Wang, C., Xu, Q., Wang, W., Luo, Y., Tao, L., Gao, Q., Guo, J., Chen, S., Cao, K., Liu, L., Gao, N., Liu, X., Yang, K., Yan, A., & Guo, X. (2015). PM2.5 spatiotemporal variations and the relationship with meteorological factors during 2013-2014 in Beijing, China. PLOS ONE, 10(11), e0141642. https://doi.org/10.1371/journal.pone.0141642

Islam, N., Toha, T. R., Islam, M. M., & Ahmed, T. (2023). Spatio-temporal variation of meteorological influence on PM2.5 and PM10 over major urban cities of Bangladesh. Aerosol and Air Quality Research, 23(1), 220082. https://doi.org/10.4209/aaqr.220082

Istiana, T., Kurniawan, B., Soekirno, S., Nahas, A., Wihono, A., Nuryanto, D. E., Fitria, R., & Hakim, M. L. (2023). Causality analysis of air quality and meteorological parameters for PM2.5 characteristics determination: Evidence from Jakarta. Aerosol and Air Quality Research, 23(9), 230014. https://doi.org/10.4209/aaqr.230014

Jayarathne, T., Stockwell, C. E., Gilbert, A. A., Daugherty, K., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Yokelson, R. J., & Stone, E. A. (2018). Chemical characterization of fine particulate matter emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Niño. Atmospheric Chemistry and Physics, 18(4), 2585–2600. https://doi.org/10.5194/acp-18-2585-2018

Karami, S., Ghassabi, Z., Khoddam, N., & Habibi, M. (2025). Investigating meteorological factors influencing pollutant concentrations and Copernicus Atmosphere Monitoring Service (CAMS) model forecasts in the Tehran Metropolis. Atmosphere, 16(3), 264. https://doi.org/10.3390/atmos16030264

Lee, K. Y., & Mak, C. M. (2021). Effects of wind direction and building array arrangement on airflow and contaminant distributions in the central space of buildings. Building and Environment, 205, 108234. https://doi.org/10.1016/j.buildenv.2021.108234

Li, F., Rubinato, M., Zhou, T., Li, J., & Chen, C. (2022). Numerical simulation of the influence of building-tree arrangements on wind velocity and PM2.5 dispersion in urban communities. Scientific Reports, 12, 16378. https://doi.org/10.1038/s41598-022-20455-6

Marzouk, O. A. (2021). Assessment of global warming in Al Buraimi, Sultanate of Oman based on statistical analysis of NASA POWER data over 39 years, and testing the reliability of NASA POWER against meteorological measurements. Heliyon, 7(3), e06625. https://doi.org/10.1016/j.heliyon.2021.e06625

Miettinen, J., Hooijer, A., Vernimmen, R., Liew, S. C., & Page, S. E. (2017). From carbon sink to carbon source: Extensive peat oxidation in insular Southeast Asia since 1990. Environmental Research Letters, 12(2), 024014. https://doi.org/10.1088/1748-9326/aa5b6f

NASA POWER. (n.d.). Data services. NASA Langley Research Center. https://power.larc.nasa.gov/docs/services/

Reddington, C. L., Yoshioka, M., Balasubramanian, R., Ridley, D., Toh, Y. Y., Arnold, S. R., & Spracklen, D. V. (2014). Contribution of vegetation and peat fires to particulate air pollution in Southeast Asia. Environmental Research Letters, 9(9), 094006. https://doi.org/10.1088/1748-9326/9/9/094006

Rodrigues, G. C., & Braga, R. P. (2021). Evaluation of NASA POWER reanalysis products to estimate daily weather variables in a hot summer Mediterranean climate. Agronomy, 11(6), 1207. https://doi.org/10.3390/agronomy11061207

Schmidt, F. H., & Ferguson, J. H. A. (1951). Rainfall types based on wet and dry period ratios for Indonesia with Western New Guinea. Verhandelingen, No. 42. Djawatan Meteorologi dan Geofisik.

Shi, C., Ding, C., Zhang, X., Wang, Y., Usup, A., & Hayasaka, H. (2023). Peatland fire weather conditions in Central Kalimantan, Indonesia. Fire, 6(5), 182. https://doi.org/10.3390/fire6050182

Stockwell, C. E., Jayarathne, T., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Blake, D. R., Simpson, I. J., Stone, E. A., & Yokelson, R. J. (2016). Field measurements of trace gases and aerosols emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Niño. Atmospheric Chemistry and Physics, 16(18), 11711–11732. https://doi.org/10.5194/acp-16-11711-2016

Susilo, G. E., Yamamoto, K., Imai, T., Ishii, Y., Fukami, H., & Sekine, M. (2013). The effect of ENSO on rainfall characteristics in the tropical peatland areas of Central Kalimantan, Indonesia. Hydrological Sciences Journal, 58(3), 539–548. https://doi.org/10.1080/02626667.2013.772298

Taufik, M., Torfs, P. J. J. F., Uijlenhoet, R., Jones, P. D., Murdiyarso, D., & Van Lanen, H. A. J. (2017). Amplification of wildfire area burnt by hydrological drought in the humid tropics. Nature Climate Change, 7(6), 428–431. https://doi.org/10.1038/nclimate3280

Wu, Y., Liu, J., Zhai, J., Cong, L., Wang, Y., Ma, W., Zhang, Z., & Li, C. (2018). Comparison of dry and wet deposition of particulate matter in near-surface waters during summer. PLOS ONE, 13(6), e0199241. https://doi.org/10.1371/journal.pone.0199241

Yulianti, N., Kusin, K., Naito, D., Kawasaki, M., Kozan, O., & Susatyo, K. E. (2020). The linkage of El Niño-induced peat fires and its relation to current haze condition in Central Kalimantan. Journal of Wetlands Environmental Management, 8(2), 100. https://doi.org/10.20527/jwem.v8i2.221

Published

2026-08-24

How to Cite

Alkamalia, W., La Sahara, Ute, N., Alwi, J., & Sulistyaningtyas, N. (2026). Meteorological baseline for air-quality assessment in a very wet tropical lowland . EcoVision: Journal of Environmental Solutions, 3(2). https://doi.org/10.61511/evojes.v3i2.2026.3919

Issue

Section

Articles

Citation Check