School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia; Centre for Tropical Climate Change System (IKLIM), Institute for Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Centre for Tropical Climate Change System (IKLIM), Institute for Climate Change, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Sci Total Environ. 2014 Jun 1;482-483:336-48. doi: 10.1016/j.scitotenv.2014.02.132. Epub 2014 Mar 21.
Rural background stations provide insight into seasonal variations in pollutant concentrations and allow for comparisons to be made with stations closer to anthropogenic emissions. In Malaysia, the designated background station is located in Jerantut, Pahang. A fifteen-year data set focusing on ten major air pollutants and four meteorological variables from this station were analysed. Diurnal, monthly and yearly pollutant concentrations were derived from hourly continuous monitoring data. Statistical methods employed included principal component regression (PCR) and sensitivity analysis. Although only one of the yearly concentrations of the pollutants studied exceeded national and World Health Organisation (WHO) guideline standards, namely PM10, seven of the pollutants (NO, NO2, NOx, O3, PM10, THC and CH4) showed a positive upward trend over the 15-year period. High concentrations of PM10 were recorded during severe haze episodes in this region. Whilst, monthly concentrations of most air pollutants, such as: PM10, O3, NOx, NO2, CO and NmHC were recorded at higher concentrations between June and September, during the southwest monsoon. Such results correspond with the mid-range transport of pollutants from more urbanised and industrial areas. Diurnal patterns, rationed between major air pollutants and sensitivity analysis, indicate the influence of local traffic emissions on air quality at the Jerantut background station. Although the pollutant concentrations have not shown a rapid increase, an alternative background station will need to be assigned within the next decade if development projects in the surrounding area are not halted.
农村背景站提供了对污染物浓度季节性变化的深入了解,并允许与更接近人为排放的站进行比较。在马来西亚,指定的背景站位于彭亨州的关丹。对该站的十五年数据集中的十种主要空气污染物和四种气象变量进行了分析。从每小时连续监测数据中得出了日变化、月变化和年变化的污染物浓度。所采用的统计方法包括主成分回归(PCR)和敏感性分析。尽管在所研究的污染物中,只有一种污染物(PM10)的年浓度超过了国家和世界卫生组织(WHO)的指导标准,但在 15 年的时间里,七种污染物(NO、NO2、NOx、O3、PM10、THC 和 CH4)呈上升趋势。该地区发生严重雾霾事件时,PM10 浓度很高。而在西南季风期间,大多数空气污染物(如 PM10、O3、NOx、NO2、CO 和 NmHC)的月浓度在 6 月至 9 月期间较高。这些结果与污染物从中等范围的城市化和工业化地区向更远距离传输的情况相对应。主要空气污染物的日变化模式和敏感性分析表明,当地交通排放对关丹背景站空气质量的影响。尽管污染物浓度没有呈现快速增长,但如果不停止周边地区的发展项目,未来十年将需要指定另一个背景站。