Division of Atmospheric Sciences, Desert Research Institute, 2215 Raggio Parkway, Reno, NV 89512, USA.
Environ Monit Assess. 2012 May;184(5):3199-211. doi: 10.1007/s10661-011-2182-8. Epub 2011 Jun 29.
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/m(3). 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.
德里的冬季寒冷、多雾且污染严重。污染水平大约是夏季监测水平的两到三倍,不仅在卫生部门,而且在交通部门都能感受到这种污染的严重性,机场运营经常出现延误,道路走廊也发生了一系列大大小小的事故。全市感受到的影响既有人为因素(由于燃料燃烧),也有自然因素(由于气象条件),很难区分它们各自的比例。在过去十年中,由于及时采取了控制污染的干预措施,城市已经从中受益,但污染水平仍和前一年一样糟糕,特别是对于细颗粒物这种最有害的标准污染物而言,其日平均值在 2009 年为 80 到 100μg/m(3)。本文使用拉格朗日模型(称为大气输送建模系统, tracer 模式)来研究气象因素的作用,以更好地了解德里污染的季节性。一个明确的结论是,无论每月的排放量是否保持不变,与当年的年平均值相比,冬季(11 月、12 月和 1 月)的估算示踪剂浓度始终高出 40%至 80%,而夏季(5 月、6 月和 7 月)的浓度则低 10%至 60%。除了监测和源分配研究外,本文还提出了一种方法,可以以简单的方式传达大气建模的复杂物理特征,并进一步阐述当地气象与污染之间的联系。