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Role of meteorology in seasonally of air pollution in megacity Delhi, India

机译:气象在印度德里大城市空气污染季节变化中的作用

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The winters in megacity Delhi are harsh, smoggy, foggy, and highly polluted. The pollution levels are approximately two to three times those monitored in the summer months, and the severity is felt not only in the health department but also in the transportation department, with regular delays at airport operations and series of minor and major accidents across the road corridors. The impacts felt across the city are both manmade (due to the fuel burning) and natural (due to the meteorological setting), and it is hard to distinguish their respective proportions. Over the last decade, the city has gained from timely interventions to control pollution, and yet, the pollution levels are as bad as the previous year, especially for the fine particulates, the most harmful of the criteria pollutants, with a daily 2009 average of 80 to 100 μg/m3. In this paper, the role of meteorology is studied using a Lagrangian model called Atmospheric Transport Modeling System in tracer mode to better understand the seasonality of pollution in Delhi. A clear conclusion is that irrespective of constant emissions over each month, the estimated tracer concentrations are invariably 40% to 80% higher in the winter months (November, December, and January) and 10% to 60% lower in the summer months (May, June, and July), when compared to annual average for that year. Along with monitoring and source apportionment studies, this paper presents a way to communicate complex physical characteristics of atmospheric modeling in simplistic manner and to further elaborate linkages between local meteorology and pollution.
机译:德里大城市的冬季严酷,烟雾弥漫,多雾且污染严重。污染水平约为夏季监测的污染水平的2至3倍,不仅在卫生部门而且在运输部门都感觉到严重程度,定期延误机场运营以及道路上发生的一系列重大和重大事故走廊。整个城市受到的影响既是人为的(由于燃烧燃料)又是自然的(由于气象环境),因此很难区分它们各自的比例。在过去的十年中,该市已通过及时的干预措施来控制污染,但其污染水平与前一年一样严重,尤其是对于最有害的标准污染物细颗粒物,其2009年每日平均值为80至100μg/ m3。本文采用示踪模式的拉格朗日模型(称为大气传输模型系统)研究了气象学的作用,以更好地了解德里的污染季节。一个明确的结论是,不管每个月的排放量是恒定的,在冬季(11月,12月和1月)的示踪剂浓度估计值总是高出40%至80%,而在夏季(5月)的示踪剂浓度低10%至60% ,6月和7月)与该年的年度平均值进行比较。除了监测和源分配研究以外,本文还提出了一种以简单的方式传达大气模型的复杂物理特征,并进一步阐述地方气象学与污染之间联系的方法。

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