Validasi Data Model WRF-CHEM Dan Data Observasi AQMS Kualitas Udara Kota Manado

Authors

  • Eka Wardhani BRIN - Institut Teknologi Nasional, Bandung Author
  • Firman Apriana Prawira Institut Teknologi Nasional Bandung Author
  • Yulianti Pratama Institut Teknologi Nasional, Bandung Author

Keywords:

AQMS, Manado, Pm2.5, Validasi Statistik, WRF-Chem

Abstract

Pencemaran udara merupakan permasalahan lingkungan kompleks yang dipengaruhi oleh aktivitas antropogenik dan kondisi meteorologi. Penelitian ini bertujuan untuk mengevaluasi keandalan serta akurasi model cuaca-kimia terintegrasi Weather Research and Forecasting with Chemistry (WRF-Chem) dalam mensimulasikan polutan Ozon (O3) dan Particulate Matter (PM2.5) di Kota Manado. Evaluasi dilakukan dengan memvalidasi luaran simulasi terhadap data observasi otomatis dan kontinyu dari Air Quality Monitoring System (AQMS) pada 2-3 Mei 2022. Berdasarkan panduan standar statistik, parameter O3 diuji menggunakan Unpaired Peak Accuracy (UPA), Mean Normalized Bias Error (MNBE), dan Mean Normalized Gross Error (MNGE), sedangkan PM2.5 diuji melalui Mean Fractional Bias (MFB) dan Mean Fractional Error (MFE). Hasil analisis menunjukkan konsentrasi puncak diurnal O3 mencapai 74 μg/m³ dan PM2.5 melonjak hingga 92 μg/m³ pada jam sibuk sore hari. Secara statistik, model WRF-Chem dinyatakan valid untuk memproyeksikan parameter O3 (UPA 1,52%; MNBE -0,16%; MNGE 17,34%). Sebaliknya, model dinyatakan tidak valid untuk PM2.5 (MFB-111,96%; MFE 111,96%) karena mengalami gejala underestimate parah akibat ketergantungan pada inventarisasi emisi global. Penelitian ini memberikan informasi penting mengenai performa model guna penyusunan kebijakan pengendalian pencemaran udara di Kota Manado.

References

[1] H. J. Mukono, Aspek Kesehatan Pencemaran Udara. Surabaya: Airlangga University Press, 2011.

[2] J. W. Boylan and A. G. Russell, "PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models," Atmospheric Environment, vol. 40, no. 26, pp. 4946–4959, 2006.

[3] I. Fabiola, "Analisis Hasil Pemantauan Kualitas Udara Ambien Menggunakan Metode AQMS (Air Quality Monitoring System) Pada Periode 2020 Di Kota Surabaya Dan Kota Malang Serta Dampaknya Terhadap Kesehatan (Parameter PM10)," Doctoral dissertation, Universitas Airlangga, Surabaya, 2022.

[4] USEPA, "National Air Quality and Emission Trends Report," U.S. Environmental Protection Agency, Research Triangle Park, NC, Rep. EPA-450/4-91-003, 1991.

[5] BPS Kota Manado, Manado Dalam Angka 2022. Manado: Badan Pusat Statistik Kota Manado, 2022.

[6] N. T. K. Oanh, Ed., Integrated Air Quality Management: Asian Case Studies. Boca Raton, FL: CRC Press, 2012.

[7] J. H. Seinfeld and S. N. Pandis, Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, 3rd ed. Hoboken, NJ: John Wiley & Sons, 2016.

[8] D. K. Sari, A. Ihwan, and R. Ardianto, "Analisis Sebaran Polusi Udara di Kota Pontianak menggunakan Model WRF-Chem (Studi Kasus Kebakaran Hutan 21-25 Agustus 2018)," Jurnal Sains dan Edukasi Sains, vol. 8, no. 2, pp. 99–107, 2025.

[9] D. Pujiastuti and A. F. Ilahi, "Analisis Pengaruh Intensitas Radiasi Matahari, Temperatur, Dan Kelembaban Udara, Terhadap Fluktuasi Konsentrasi Ozon Permukaan Di Bukit Kototabang Tahun 2005-2010," Jurnal Fisika Unand, vol. 3, no. 3, pp. 177–183, 2014.

[10] K. Warmiński and A. Bęś, "Atmospheric factors affecting a decrease in the night-time concentrations of tropospheric ozone in a low-polluted urban area," Water, Air, & Soil Pollution, vol. 229, no. 11, p. 350, Nov. 2018.

[11] X. Zhao, X. Zhang, X. Xu, J. Xu, W. Meng, and W. Pu, "Seasonal and diurnal variations of ambient PM2.5 concentration in urban and rural environments in Beijing," Atmospheric Environment, vol. 43, no. 18, pp. 2893–2900, 2009.

[12] Y. Zhang, D. J. Seidel, and S. Zhang, "Trends in planetary boundary layer height over Europe," Journal of Climate, vol. 26, no. 24, pp. 10071–10076, 2013.

[13] L. M. David and P. R. Nair, "Diurnal and seasonal variability of surface ozone and NOx at a tropical coastal site: Association with mesoscale and synoptic meteorological conditions," Journal of Geophysical Research: Atmospheres, vol. 116, no. D10, 2011, doi: 10.1029/2010JD015076.

[14] C. Wang and S. Jin, "Error features and their possible causes in simulated low‐level winds by WRF at a wind farm," Wind Energy, vol. 17, no. 9, pp. 1315–1325, 2014.

[15] L. Wang, Y. Zhang, K. Wang, B. Zheng, Zhang, and W. Wei, "Application of Weather Research and Forecasting Model with Chemistry (WRF/Chem) over northern China: Sensitivity study, comparative evaluation, and policy implications," Atmospheric Environment, vol. 124, pp. 337–350, 2016.

[16] D. A. Permadi, N. T. Kim Oanh, and R. Vautard, "Integrated emission inventory and modeling to assess distribution of particulate matter mass and black carbon composition in Southeast Asia," Atmospheric Chemistry and Physics, vol. 18, no. 4, pp. 2725–2747, 2018.

Downloads

Published

04/08/2026

Issue

Section

Articles

How to Cite

[1]
“Validasi Data Model WRF-CHEM Dan Data Observasi AQMS Kualitas Udara Kota Manado”, jse, vol. 11, no. 3, Aug. 2026, Accessed: Aug. 06, 2026. [Online]. Available: https://jse.serambimekkah.id/index.php/jse/article/view/1950

Most read articles by the same author(s)

<< < 1 2 

Similar Articles

1-10 of 109

You may also start an advanced similarity search for this article.