A study on PM2.5 concentration in Bangkok, Thailand: A case study of Bang Na Station

IF 0.4 Q4 MULTIDISCIPLINARY SCIENCES
Angkhana Ketjalan, Usa Humphries, Warawut Suadee
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Abstract

In contemporary times, air pollution has emerged as a pressing concern in major metropolises worldwide. Particulate matter, particularly PM2.5, has been identified as a key contributor to elevated pollution levels. While previous studies in Thailand have primarily focused on PM2.5 in agricultural, forestry, and industrial regions, they often examine its relationship with precursor gases (e.g., SO2, NOx, VOCs, and NH3) and hotspots. However, research pertaining to the capital city, Bangkok, remains limited due to its complex source composition and unnatural urban structure, leading to unique airborne conditions. This study seeks to explore the interplay between PM2.5, precursor gases, and meteorological factors in Bangkok. To assess the influence of precursor gases and meteorological variables on PM2.5 concentrations, correlation analysis and regression techniques were applied to monitoring data obtained from relevant government agencies. Notably, PM2.5 exhibited strong correlations with precursor gases, especially NO2 (correlation coefficient, R, ranging from 0.11 to 0.87), while SO2 showed more variable correlations (R ranging from -0.45 to 0.85). Furthermore, meteorological factors exhibited significant but slightly weaker correlations with PM2.5 compared to SO2 and NO2. This suggests that NO2 plays a dominant role in driving the secondary formation of PM2.5 in the Bang Na area. Regression analysis confirmed the strong association of NO2, SO2, and relative humidity with PM2.5, while other meteorological parameters displayed less significance, even the planetary boundary layer. Contrary to previous studies that primarily rely on real-time monitoring for short durations and emphasize potential pollution sources, our research underscores the pivotal role of precursor gases, particularly under high relative humidity conditions. To elucidate the secondary formation of PM2.5 from precursor gases within urban settings, future studies should encompass longer-term real-time monitoring of both precursor gases and meteorological variables, especially in urban areas
泰国曼谷地区PM2.5浓度研究——以邦那站为例
在当代,空气污染已经成为世界主要大都市的一个紧迫问题。颗粒物,尤其是PM2.5,被认为是导致污染水平上升的一个关键因素。虽然泰国以前的研究主要集中在农业、林业和工业区域的PM2.5,但他们经常研究其与前体气体(如SO2、NOx、VOCs和NH3)和热点的关系。然而,有关首都曼谷的研究仍然有限,因为其复杂的来源组成和非自然的城市结构,导致独特的空气条件。本研究旨在探讨PM2.5、前体气体和曼谷气象因素之间的相互作用。为了评估前驱气体和气象变量对PM2.5浓度的影响,采用相关分析和回归技术对相关政府机构的监测数据进行分析。值得注意的是,PM2.5与前体气体,特别是NO2具有较强的相关性(相关系数R为0.11 ~ 0.87),而SO2具有较强的变量相关性(R为-0.45 ~ 0.85)。与SO2和NO2相比,气象因子与PM2.5的相关性显著但略弱。这说明在邦那地区,NO2对PM2.5的次生形成起主导作用。回归分析证实NO2、SO2和相对湿度与PM2.5的相关性较强,而其他气象参数,包括行星边界层,对PM2.5的相关性较弱。与以往主要依赖于短时间实时监测并强调潜在污染源的研究相反,我们的研究强调了前体气体的关键作用,特别是在高相对湿度条件下。为了阐明在城市环境中由前驱气体二次形成PM2.5,未来的研究应包括对前驱气体和气象变量的长期实时监测,特别是在城市地区
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
234
审稿时长
8 weeks
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