Statistical analysis of tropospheric ozone and its precursors using principal component analysis in an urban area of Surat, India

N. Jariwala, Drashti V. Kapadia
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引用次数: 2

Abstract

The objective of this study was to investigate the sources of tropospheric ozone (O3) precursors in an urban area using principal component analysis. Chemically reactive conventional pollutants such as carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), and nitrogen dioxide (NO2) as well as some selected meteorological parameters such as global solar radiation (SR), air temperature (AT), relative humidity (RH), wind speed (WS), and wind direction (WD) were incorporated in this analysis. The data obtained from real-time sensor based continuous ambient air quality monitoring stations which are established at Limbayat and Varachha, situated in Surat city, India are used in this study.. O3 data were distributed according to the four seasons owing to variations in the Indian climatic conditions. The occurrence of peak O3 level in the summer afternoon at around 5 p.m. proved the well-known fact of interconnection among temperature, solar radiation, and increment in O3 concentration. Regardless of long-range transformation and stratospheric intrusion, ozone was propagated based on only a single phenomenon, i.e., chemical reaction occurring between key pollutants manifested with large variances in the first two principal components (PCs). WS and WD were found to be the least influencing parameters using Pearson’s correlation coefficient. CO and NO The potencies of CO and NO were remarkable either in the first or second PC observed at both locations with more than 45% concentration, which alluded that the main source of O3 was urban transportation and AT contributed with weightage 50% in PC ascertained key role of photolysis process in the O3 formation.
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印度苏拉特市区对流层臭氧及其前体的主成分分析统计分析
本研究的目的是利用主成分分析法研究城市地区对流层臭氧(O3)前体的来源。化学反应性的常规污染物,如一氧化碳(CO)、二氧化碳(CO2)、一氧化氮(NO)和二氧化氮(NO2),以及一些选定的气象参数,如全球太阳辐射(SR)、气温(AT)、相对湿度(RH)、风速(WS)和风向(WD),都被纳入该分析。本研究使用了印度苏拉特市Limbayat和Varachha建立的基于实时传感器的连续环境空气质量监测站的数据。由于印度气候条件的变化,臭氧数据按四季分布。O3峰值出现在夏季下午5点左右,证明了气温、太阳辐射和O3浓度增量之间存在着众所周知的相互作用。不考虑远距离转化和平流层入侵,臭氧的传播仅基于一种现象,即关键污染物之间发生的化学反应,在前两个主成分(PCs)中表现出较大的差异。Pearson相关系数分析发现WS和WD是影响最小的参数。CO和NO在浓度均大于45%的第一和第二PC中均表现出显著的浓度,说明城市交通是O3的主要来源,at在PC中占50%的比重,确定了光解过程在O3形成中的关键作用。
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