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

Wilin Julian Sari, D. F. Andarini, F. 'Adany, Waluyo Eko Cahyono
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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.
利用merra-2再分析数据分析2019年森林火灾期间廖内省表面黑碳浓度
印度尼西亚几乎每年都发生森林火灾,特别是在廖内省地区,因此,二氧化碳和黑碳等污染物存在于廖内省上空。由于它的大小和吸收光的能力,黑碳被认为对气候有不好的影响。本研究旨在分析2019年9月发生在印度尼西亚廖内省的森林火灾对黑碳产生的影响,并估计反向空气运动轨迹,以确认黑碳的气团来源。本研究使用的黑碳浓度数据为MERRA-2逐时数据,空间分辨率为0.5°× 0.625°,轨迹计算采用HYSPLIT轨迹模型。本研究的线性回归r值为0.78,表明黑碳浓度与热点数量呈正相关。BC浓度范围为2 ~ 11 × 10 ~ 9 kg。高浓度的m-3发生于2019年9月9日至23日,受占碑和南苏门答腊的东南风影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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