ANALYSIS OF SURFACE CONCENTRATION OF BLACK CARBON IN RIAU PROVINCE DURING THE 2019 FOREST FIRES USING MERRA-2 REANALYSIS DATA

Authors

  • Wilin Julian Sari Indonesia National Institute of Aeronautics and Space (LAPAN)
  • Dita Fatria Andarini Indonesia National Institute of Aeronautics and Space (LAPAN)
  • Fildzah 'Adany Indonesia National Institute of Aeronautics and Space (LAPAN)
  • Waluyo Eko Cahyono Indonesia National Institute of Aeronautics and Space (LAPAN)

DOI:

https://doi.org/10.31172/jmg.v23i1.800

Keywords:

forest fire, black carbon, MERRA-2, HYSPLIT

Abstract

Indonesia experienced forest fires almost every year, especially in the area of Riau Province, where as a result, pollutants such carbon dioxide and black carbon present in the air over Riau. Due to its size and its light absorption ability, black carbon is known to have bad impacts on the climate. This study aims to analyse the effect of forest fires that happened in Riau   province, Indonesia in September 2019 towards the production of black carbon, as well as to estimate backward air movement trajectory in order to confirm the air mass sources of the black carbon. The data of black carbon concentration used in this study is an hourly temporal data of MERRA-2 with a spatial resolution of 0.5° × 0.625°, while the trajectory calculation uses the HYSPLIT trajectory model. Linear regression of this study has an r value of 0.78 which shows that there is a positive correlation between black carbon concentration and number of hotspots. The range of BC concentrations were 2–11 × 10-9 kg.m-3 with higher concentration occurred during 9–23 September 2019 where it was affected by the south-easterly wind from Jambi and South Sumatera.

References

Sagala S, Sitinjak E and Yamin D 2015 Chapter 7 - Fostering Community Participation Wildfire: Experiences from Indonesia Wildfire Hazards, Risks and Disasters ed J F Shroder and D Paton (Oxford: Elsevier) pp 123–44

BNPB 2013 Rencana Kontinjensi Nasional Menghadapi Ancaman Bencana Asap Akibat Kebakaran Hutan dan Lahan ed F Irawan (Jakarta)

Dennis R 1999 A review of fire projects in Indonesia, 1982-98

Yadav I C, Linthoingambi Devi N, Li J, Syed J H, Zhang G and Watanabe H 2017 Biomass burning in Indo-China peninsula and its impacts on regional air quality and global climate change-a review Environ. Pollut. 227 414–27

Radojevic M 2003 Chemistry of forest fires and regional haze with emphasis on Southeast Asia Pure Appl. Geophys. 160 157–87

Shrestha G, Traina S J and Swanston C W 2010 Black carbon’s properties and role in the environment: A comprehensive review Sustainability 2 294–320

Ramachandran S and Kedia S 2010 Black carbon aerosols over an urban region: Radiative forcing and climate impact J. Geophys. Res. Atmos. 115

Reyna-Bensusan N, Wilson D C, Davy P M, Fuller G W, Fowler G D and Smith S R 2019 Experimental measurements of black carbon emission factors to estimate the global impact of uncontrolled burning of waste Atmos. Environ. 213 629–39

Wargan K, Labow G, Frith S, Pawson S, Livesey N and Partyka G 2017 Evaluation of the ozone fields in NASA’s MERRA-2 reanalysis J. Clim. 30 2961–88

Link D, Wang Z and Xiong X 2016 Status of MODIS spatial and spectral characterization and performance Earth Obs. Mission. Sensors Dev. Implementation, Charact. IV 9881 98811G

Sabani W, Rahmadewi D P, Rahmi K I N, Priyatna M and Kurniawan E 2019 Utilization of MODIS data to analyze the forest/land fires frequency and distribution (Case Study : Central Kalimantan Province IOP Conf. Series: Earth and Environmental 243 2–3

Giglio L, Schroeder W, Justice CO 2016 The collection 6 MODIS active fire detection algorithm and fire products. Remote Sens Environ 178 31–41

Urraca R, Huld T, Gracia-Amillo A, Martinez-de-Pison F J, Kaspar F and Sanz-Garcia A 2018 Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data Sol. Energy 164 339–54

Hersbach H, Bell B, Berrisford P, Hirahara S, Horányi A, Muñoz-Sabater J, Nicolas J, Peubey C, Radu R, Schepers D, Simmons A, Soci C, Abdalla S, Abellan X, Balsamo G, Bechtold P, Biavati G, Bidlot J, Bonavita M, De Chiara G, Dahlgren P, Dee D, Diamantakis M, Dragani R, Flemming J, Forbes R, Fuentes M, Geer A, Haimberger L, Healy S, Hogan R J, Hólm E, Janisková M, Keeley S, Laloyaux P, Lopez P, Lupu C, Radnoti G, de Rosnay P, Rozum I, Vamborg F, Villaume S and Thépaut J-N 2020 The ERA5 global reanalysis Q. J. R. Meteorol.Soc. 146 1999–2049

Akpinar E K, Akpinar S and Öztop H F 2009 Statistical analysis of meteorological factors and air pollution at winter months in Elaziğ, Turkey J. Urban Environ. Eng. 3 7–16

Stein A F, Draxler R R, Rolph G D, Stunder B J B, Cohen M D and Ngan F 2015 Noaa’s hysplit atmospheric transport and dispersion modeling system Bull. Am. Meteorol. Soc. 96 2059–77

Rolph G, Stein A and Stunder B 2017 Real-time Environmental Applications and Display sYstem: READY Environ. Model. Softw. 95 210–28

Arisman 2020 Analisis Tren Kebakaran Hutan dan Lahan di Indonesia Periode Tahun 2015-2019 Trend Analysis of Forest and Land Fires in Indonesia periods 2015-2019 J. Sains Teknol.Lingkung. 6 1–9

Rajendran K, Kitoh A and Yukimoto S 2004 South and East Asian summer monsoon climate and variation in the MRI coupled model (MRI-CGCM2) J. Clim. 17 763–82

Hendon H H 2003 Indonesian rainfall variability: Impacts of ENSO and local air-sea interaction J. Clim. 16 1775–90

Heriyanto E and Nuryanto D E 2014 Prediksi Sebaran Asap Kebakaran Hutan/Lahan Menggunakan WRF/CHEM (Studi Kasus: Tanggal 14 dan 20 Juni 2012, Pekanbaru-Riau) J. Meteorol. dan Geofis. 15 51–8

Aldrian E 2011 Adaptasi dan mitigasi perubahan iklim global Prasetya Online 174

Hayasaka H, Usup A and Naito D 2020 New approach evaluating peatland fires in Indonesian factors Remote Sens. 12

Stiegler C, Meijide A, Fan Y, Ashween Ali A, June T and Knohl A 2019 El Niño-Southern Oscillation (ENSO) event reduces CO2 uptake of an Indonesian oil palm plantation Biogeosciences 16 2873–90

Qian J H, Robertson A W and Moron V 2013 Diurnal cycle in different weather regimes and rainfall variability over borneo associated with ENSO J. Clim. 26 1772–90

Sitnov S A, Mokhov I I and Likhosherstova A A 2020 Exploring large-scale black‑carbon air pollution over Northern Eurasia in summer 2016 using MERRA-2 reanalysis data Atmos. Res. 235 104763

KLHK 2019 Analisa Data Luas Areal Kebakaran Hutan & Lahan

Cape J N, Coyle M and Dumitrean P 2012 The atmospheric lifetime of black carbon Atmos. Environ. 59 256–63

Chen W and Guan Z 2017 A joint monsoon index for East Asian–Australian monsoons during boreal summer Atmos. Sci. Lett. 18 403–408

Downloads

Published

2022-02-18

How to Cite

Sari, W. J., Andarini, D. F., ’Adany, F., & Cahyono, W. E. (2022). ANALYSIS OF SURFACE CONCENTRATION OF BLACK CARBON IN RIAU PROVINCE DURING THE 2019 FOREST FIRES USING MERRA-2 REANALYSIS DATA. Jurnal Meteorologi Dan Geofisika, 23(1), 1–7. https://doi.org/10.31172/jmg.v23i1.800

Issue

Vol. 23 No. 1 (2022)

Section

Article

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.