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Air pollution forecast for Ho Chi Minh City, Vietnam in 2015 and 2020

机译:越南胡志明市2015年和2020年的空气污染预测

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摘要

Air pollution has deteriorated considerably the health of millions of people in Ho Chi Minh City (HCMC) due to high levels of emissions which caused more than 90% of children under the age of 5 years old to suffer from different respiratory illnesses in the city. The objectives of this research are to study the formation of the pollution plume over the city during a 3-day episode in February 2006 and to study two abatement strategies of air pollution for HCMC. The meteorology in HCMC is influenced by local phenomena and global phenomenon which create convergence fronts over and cause the formation of the plume of pollutants over the city. The plume of Ozone (O3) is developed in the north-western part of the city. The models successfully simulated these phenomena and their results are in good agreement with measurements. Two abatement strategies are studied in this work to help the local government who will make decisions for managing air quality in HCMC. For making a better-informed decision, the probabilistic estimate for the photochemical model is carried out in this research. The Monte Carlo method that is applied in this research for the uncertainty analyses is an efficient method of producing a probabilistic output from the photochemical model. The results of these two abatement strategies showed that if the local government follows the emission control plan: (1) for 2015, the O3 concentration in 2015 will be similar to the present O3 concentration. (2) For 2020, the O3 concentration in 2020 will decrease of around 10–30% of O3 in comparison to the actual level.
机译:由于高水平的排放,空气污染已使胡志明市(HCMC)数百万人的健康状况大大恶化,这导致该市90%以上的5岁以下儿童遭受各种呼吸系统疾病的折磨。这项研究的目的是研究2006年2月为期3天的全市污染羽流的形成,并研究HCMC的两种消除空气污染的策略。 HCMC中的气象受到局部现象和全球现象的影响,这些现象在整个城市形成汇聚前沿并导致污染物羽流的形成。臭氧的羽毛(O 3 )位于城市的西北部。该模型成功模拟了这些现象,其结果与测量结果吻合良好。在这项工作中研究了两种减排策略,以帮助地方政府对HCMC中的空气质量做出决策。为了做出更明智的决定,本研究对光化学模型进行了概率估计。在这项研究中用于不确定性分析的蒙特卡洛方法是一种从光化学模型产生概率输出的有效方法。这两种减排策略的结果表明,如果地方政府遵循排放控制计划:(1)到2015年,2015年O 3 的浓度将与目前的O 3 < / sub>浓度。 (2)到2020年,与实际水平相比,2020年O 3 的浓度将减少O 3 的10–30%左右。

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