Clean Air Research Group, Environmental and Sustainable Development Section, School of Civil Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Pulau Pinang, Malaysia.
Environ Monit Assess. 2011 Sep;180(1-4):573-88. doi: 10.1007/s10661-010-1806-8. Epub 2010 Dec 7.
Malaysia has experienced several haze events since the 1980s as a consequence of the transboundary movement of air pollutants emitted from forest fires and open burning activities. Hazy episodes can result from local activities and be categorized as "localized haze". General probability distributions (i.e., gamma and log-normal) were chosen to analyze the PM(10) concentrations data at two different types of locations in Malaysia: industrial (Johor Bahru and Nilai) and residential (Kota Kinabalu and Kuantan). These areas were chosen based on their frequently high PM(10) concentration readings. The best models representing the areas were chosen based on their performance indicator values. The best distributions provided the probability of exceedances and the return period between the actual and predicted concentrations based on the threshold limit given by the Malaysian Ambient Air Quality Guidelines (24-h average of 150 μg/m(3)) for PM(10) concentrations. The short-term prediction for PM(10) exceedances in 14 days was obtained using the autoregressive model.
马来西亚自 20 世纪 80 年代以来经历了几次雾霾事件,这是由于森林火灾和露天焚烧活动排放的空气污染物跨境转移造成的。雾霾事件可能是由当地活动引起的,并可分为“局部雾霾”。一般概率分布(即伽马分布和对数正态分布)被选用来分析马来西亚两种不同类型地点(柔佛巴鲁和尼莱)和居民区(哥打京那巴鲁和关丹)的 PM(10)浓度数据。这些地区是根据其经常出现的高 PM(10)浓度读数选择的。根据性能指标值选择了代表这些地区的最佳模型。最佳分布根据马来西亚环境空气质量指南(PM(10)浓度的 24 小时平均值为 150μg/m(3))给出的阈值限制,提供了实际和预测浓度之间的超过概率和重现期。使用自回归模型获得了 14 天内 PM(10)超过限值的短期预测。