2019 Southeast Asia Transboundary Haze and its Influence on Particulate Matter Variations: A Case Study in Kota Kinabalu, Sabah

IF 1.6 Q4 ENVIRONMENTAL SCIENCES
Carolyn Payus, Siti Irbah Anuar, Fuei Pien Chee, Muhammad Izzuddin Rumaling, Agoes Soegianto
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引用次数: 0

Abstract

In 2019, Malaysia faced a deterioration of air quality due to transboundary haze, which brought negative implications, especially for public health. In light of the above scenario, continuous particulate matter (PM10, PM2.5 and PM1) and meteorological parameters amid the haze period were taken to unravel the influence of haze on particulate matter variations and to investigate the association between particulate matter concentrations with meteorological parameters and fire hotspots in Kota Kinabalu, where it is rarely studied. Particulate matter and the meteorological parameters were monitored during the haze season, continuously from 21 August–30 September 2019, using AirMate, a ground-based air monitoring equipment. Air mass backward trajectories were simulated using the HYSPLIT Model, and fire hotspot data was obtained from the Greenpeace Global Fire Dashboard. The results showed increasing particulate matter concentrations during the haze period, with PM2.5 exceeding the New Ambient Air Quality Standards (2020) on multiple days. For meteorological parameters, all parameters showed a significant weak positive relationship with respective particulate matter. However, the correlation between particulate matter and fire hotspots in Indonesia showed a moderate positive relationship. The backward trajectories simulated indicated the influence of south-westerly winds in transporting the pollutants from fire hotspots in the Indonesia region. Thus, we provide beneficial information about the impacted area during the 2019 transboundary haze episode, where the interactions between the particulate matter variations and the parameters studied were unraveled.

2019东南亚跨境雾霾及其对颗粒物变化的影响——以沙巴州哥打京那巴鲁为例
<abstract>< > 2019年,马来西亚因跨境雾霾而面临空气质量恶化的问题,这给公众健康带来了负面影响。根据上述情景,连续颗粒物(PM<sub>10</sub>, PM<sub>2.5</sub>和PM<sub>1</sub>)和雾霾期间的气象参数,揭示雾霾对颗粒物变化的影响,并探讨较少研究的亚打京那巴鲁地区颗粒物浓度与气象参数和火灾热点之间的关系。在2019年8月21日至9月30日的雾霾季节,使用地面空气监测设备AirMate连续监测颗粒物和气象参数。使用HYSPLIT模型模拟气团向后轨迹,并从绿色和平组织全球火灾仪表板获得火灾热点数据。结果表明:霾期颗粒物浓度呈上升趋势,PM<sub>2.5<连续多日超过《新环境空气质量标准(2020)》。在气象参数上,各参数与各颗粒物呈显著的弱正相关。然而,印度尼西亚的颗粒物与火灾热点之间的相关性显示出中度正相关。模拟的反向轨迹显示了西南风对印度尼西亚地区火区污染物输送的影响。因此,我们提供了有关2019年跨境雾霾事件期间受影响地区的有益信息,其中颗粒物变化与所研究参数之间的相互作用被揭示。</p></abstract>
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来源期刊
AIMS Environmental Science
AIMS Environmental Science ENVIRONMENTAL SCIENCES-
CiteScore
2.90
自引率
0.00%
发文量
31
审稿时长
5 weeks
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