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On the usefulness of atmospheric measurements for air quality evaluation in the context of recent urban meteorology findings in Mexico City

机译:在最近墨西哥城城市气象调查结果的背景下,大气测量对空气质量评估的有用性

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In many cities, the main tool used to assess pollution abatement policies is the air quality information obtained from local monitoring network. However, in the context of a complex meteorology and land use such as those prevailing in Mexico City, the point-wise character and lack of detailed chemistry of this information may confer conflictive or biased information. The approach to understand the problem could be not based on solid ground. It is not until the measurement effort is complemented with detailed meteorological and air quality modeling that proper use of the information can be assured. In order to provide an example of this assertion, the usefulness of measured air quality data is gauged in a simplified manner, constructing three dimensional graphs containing local emission concentrations of nitrogen oxides (NO.), volatile organic compounds (VOC) and maximum ozone (O-3) concentrations, that we call "ozone isopleths", for three sites in Mexico City. Together with corresponding wind rose data, an interpretation of the air pollution transport in the Valley of Mexico using only measured data is attempted. This interpretation, based on measured information subject to local influences, is compared with recent air quality modeling results showing that when measured data is used in conjunction with air quality modeling a better interpretation of air pollution problem can be obtained. A correct strategy to study the air quality problem, especially in the case of Mexico City where complex meteorology and land use is present, should be that both endeavors, measuring and modeling, are pursued with equal vigor.
机译:在许多城市中,用于评估污染消除政策的主要工具是从当地监测网络获得的空气质量信息。但是,在复杂的气象和土地使用(例如墨西哥城流行的土地使用)的背景下,这种信息的指向性和缺乏详细的化学性质可能会带来冲突或有偏见的信息。理解问题的方法可能不是基于坚实的基础。直到测量工作得到详细的气象和空气质量建模的补充,才能确保信息的正确使用。为了提供这一断言的例子,以简化的方式对测得的空气质量数据的实用性进行了测量,构建了三维图,其中包含了氮氧化物(NO。),挥发性有机化合物(VOC)和最大臭氧浓度( O-3)浓度,我们称其为“臭氧当量”,位于墨西哥城的三个地点。试图与相应的风玫瑰数据一起,仅使用实测数据来解释墨西哥谷的空气污染迁移。该解释基于受当地影响的实测信息,与最近的空气质量建模结果进行了比较,结果表明,将测量数据与空气质量建模结合使用时,可以更好地解释空气污染问题。研究空气质量问题的正确策略,尤其是在存在复杂的气象和土地利用情况的墨西哥城的情况下,应该以同等的精力进行努力,进行测量和建模。

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