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Interaction of PM10 concentrations with local and synoptic meteorological conditions at different temporal scales
Atmospheric Research ( IF 5.5 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.atmosres.2020.104975
Hanashriah Hassan , Mohd Talib Latif , Liew Juneng , Norhaniza Amil , Md Firoz Khan , Diong Jeong Yik , Nur Aleesha Abdullah

Abstract Changing meteorological conditions over short and long time scales are anticipated to affect the concentrations of particulate matter with aerodynamic diameter below than 10 μm (PM10) in the atmosphere. This study aims to identify the temporal characteristics of PM10 including its relationship with local and synoptic meteorological conditions in Petaling Jaya (PJ), Malaysia from 1996 to 2016. A high volume sampler (HVS), mounted on the rooftop of MetMalaysia, was used to monitor daily PM10 concentrations. The meteorological parameter data were obtained from the MetMalaysia PJ station. The results showed the two highest PM10 concentrations recorded were 423.9 and 390.7 μgm−3 during the dry seasons in September 1997 and 2015, respectively. The temporal characteristics via wavelet analysis revealed clear annual (256–512 days), seasonal (64–256 days) and intra-seasonal (32–64 days) variations of PM10. Local temperature exhibited the highest positive correlation with PM10 (r = 0.24) at the daily scale compared to other meteorological parameters. At the seasonal scale, PM10 showed a negative correlation with local temperature during June, July and August (JJA) (r = −0.33, p

中文翻译:

PM10 浓度与不同时间尺度的局地和天气气象条件的相互作用

摘要 预计短期和长期变化的气象条件会影响大气中空气动力学直径小于 10 μm (PM10) 的颗粒物浓度。本研究旨在确定 1996 年至 2016 年马来西亚八打灵再也 (PJ) 的 PM10 的时间特征,包括其与当地和天气气象条件的关系。监测每日 PM10 浓度。气象参数数据来自 MetMalaysia PJ 站。结果显示,在 1997 年 9 月和 2015 年的旱季,记录的两个最高 PM10 浓度分别为 423.9 和 390.7 μgm-3。通过小波分析的时间特征揭示了清晰的年度(256-512天),PM10 的季节性(64-256 天)和季节性(32-64 天)变化。与其他气象参数相比,局部温度在日尺度上与 PM10 (r = 0.24) 的正相关性最高。在季节性尺度上,PM10 与 6 月、7 月和 8 月(JJA)的局部温度呈负相关(r = -0.33,p
更新日期:2020-09-01
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