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The long-term assessment of air quality on an island in Malaysia

机译:马来西亚岛上空气质量的长期评估

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摘要

This study aims to evaluate the air quality on Langkawi Island, a famous tourist destination in Malaysia, using 13 years of data (1999–2011) recorded by the Malaysian Department of Environment. Variations of seven air pollutants (O3, CO, NO, NO2, NOx, SO2 and PM10) and three meteorological factors (temperature, humidity and wind speed) were analysed. Statistical methods used to analyse the data included principal component regression (PCR) and sensitivity analysis. The results showed PM10 was the dominant air pollutant in Langkawi and values ranged between 5.0 μg m−3 and 183.2 μg m−3. The patterns of monthly values showed that the concentrations of measured air pollutants on Langkawi were higher during the south-west monsoon (June–September) due to seasonal biomass burning activities. High CO/NOx ratio values (between 28.3 and 43.6), low SO2/NOx ratio values (between 0.04 and 0.12) and NO/NO2 ratio values exceeding 2.2 indicate the source of air pollutants in this area was motor vehicles. PCR analysis grouped the seven variables into two factor components: the F1 component consisted of SO2, NO and NOx and the F2 component consisted of PM10. The F1 component (R2 = 0.931) indicated a stronger standardized coefficient value for meteorological variables compared to the F2 component (R2 = 0.059). The meteorological variables were statistically significant (p < 0.05) in influencing the distribution of the air pollutants. The status of air quality on the island could be improved through control on motor vehicle emissions as well as collaborative efforts to reduce regional air pollution, especially from biomass burning.
机译:这项研究旨在利用马来西亚环境部记录的13年(1999-2011年)数据评估马来西亚著名旅游胜地兰卡威岛的空气质量。分析了七种空气污染物(O3,CO,NO,NO2,NOx,SO2和PM10)的变化以及三种气象因素(温度,湿度和风速)。用于分析数据的统计方法包括主成分回归(PCR)和敏感性分析。结果表明,PM10是浮罗交怡的主要空气污染物,其值在5.0μgm -3 和183.2μgm -3 之间。月度值的模式表明,由于季节性生物量燃烧活动,西南季风(6月至9月)期间,兰卡威上测得的空气污染物浓度较高。高的CO / NOx比值(在28.3和43.6之间),低的SO2 / NOx比值(在0.04和0.12之间)和NO / NO2比值超过2.2,表明该区域的空气污染物来源是机动车。 PCR分析将这七个变量分为两个因素成分:F1成分由SO2,NO和NOx组成,F2成分由PM10组成。与F2分量(R 2 = 0.059)相比,F1分量(R 2 = 0.931)表示更强的气象变量标准化系数值。气象变量在影响空气污染物分布方面具有统计学意义(p <0.05)。可以通过控制机动车排放以及减少区域空气污染,特别是生物质燃烧产生的区域污染的共同努力,来改善岛上空气质量的状况。

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