达卡特大城市大气污染物(SO2、NO2、O3、CO、PM2.5和PM10)季节变化的气象影响

Mir Md. Mozammal Hoque
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引用次数: 17

摘要

研究了气象因素对达喀市大气污染物负荷季节变化的影响。本研究收集了美国达斯萨拉姆连续空气监测站(CAMS)的空气质量数据,并对其季节变化趋势及其与气象参数的关系进行了分析。主要空气污染物的最高浓度在旱季(10 ~ 4月)(SO2=23.45 ppb, NO2=55.33 ppb, O3=11.17 ppb, CO=3.66ppb, PM2.5=125.66µg/m3, PM10=219µg/m3)高于雨季(5 ~ 9月)(SO2=10.26 ppb, NO2=16.36 ppb, O3=2.40 ppb, CO=1.23 ppb, PM2.5=39.65µg/m3, PM10=76.5µg/m3)。这些结果表明,冬季较高的污染物负荷与观测站北部周边砖窑输送的大量污染空气有关,也与冬季的低层大气高度有关。在整个雨季,降雨量与大气污染负荷呈负相关。这一发现表明,在雨季,污染物的最低浓度水平与它们被降水从大气中冲走有关。在研究过程中,CO和O3之间存在很强的相关关系(R2=0.742),这表明随着CO浓度的增加,一种氧化剂的产生量很大。有趣的是,O3与NO2呈正相关(R2=0.391)。这一结果可能表明NO2是本研究中O3的重要前体。同样,CO和NO2也表现出良好的相关性(R2=0.68),说明NO2和CO是由相似的VOC光化学氧化途径产生的。而PM2.5和PM10浓度随季风的来临呈下降趋势,表明雨季降雨对大气粉尘负荷的冲刷作用。
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Meteorological Influences on Seasonal Variations of Air Pollutants (SO2, NO2, O3, CO, PM2.5, and PM10) in the Dhaka Megacity
The study was conducted to evaluate the meteorological influences on seasonal variations of air pollutants load in Dhaka city. In this study, we collect air quality data from Darus-salam Continuous Air Monitoring Station (CAMS) and were analyzed to find out their seasonal trends and relation with meteorological parameters. The highest concentration of the major air pollutants showed high values in the dry season (October-April) (SO2=23.45 ppb, NO2=55.33 ppb, O3=11.17 ppb, CO=3.66ppb, PM2.5=125.66 µg/m3, PM10=219 µg/m3) than those of the wet season (May-September) (SO2=10.26 ppb, NO2=16.36 ppb, O3=2.40 ppb, CO=1.23 ppb, PM2.5=39.65 µg/m3, PM10=76.5 µg/m3). These results indicate that higher pollutants load in winter are associated with large scale polluted air transported from the brick kilns situated in the northern surrounds of the observing station which are also related to lower boundary atmospheric heights during winter. However, a reverse relation between rainfall and atmospheric pollution load throughout the wet season was observed. This finding revealed that the lowest concentration levels of pollutants during the wet season are associated with their atmospheric wash out by precipitation. A strong correlation (R2=0.742) was observed between CO and O3 during the study, which indicates the huge production of an oxidant with increasing CO concentration. Interestingly, O3 showed a positive correlation with NO2 (R2=0.391). This result may indicate that NO2 is the important precursors of O3 in this study. Similarly, CO and NO2 showed good correlation (R2=0.68), indicating that both NO2 and CO are produced from similar pathways of photochemical oxidation of VOC. However, PM2.5 and PM10 concentrations showed decreasing trends with the onset of monsoon, indicating washout of atmospheric dust load through rainfall during the wet season.
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