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Dicussion of 'An integrated statistical approach for evaluating the exceedance of criteria pollutants in the ambient air of megacity Delhi' Atmospheric Environment

机译:讨论“一种用于评估特大城市德里周围空气中标准污染物超标的综合统计方法”的大气环境

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摘要

The introduction to this article is admirably well-written, clear and understandable. However, the article's methods of estimating exceedance probabilities over multiple time periods are erroneous.First, on page 7, the paper says the theory "assumes the concentration levels measured in successive non-overlapping periods are independent of one another". This is an incorrect assumption. Concentration levels have high serial correlations, as a calculation of the autocorrelation coefficient for any empirical pollutant concentration data series will show. Any realistic physical model of concentrations will conclude that the concentration level in one period is more likely to be close to the concentration level in the immediate previous period than to a random selection from all periods. This erroneous assumption is apparently not unique or original in the present paper, but may be part of a current through the literature.
机译:这篇文章的简介写得很好,清晰易懂。但是,本文中估计多个时间段内超出概率的方法是错误的。首先,在第7页上,论文说该理论“假设在连续的非重叠时间段内测得的浓度水平彼此独立”。这是一个错误的假设。浓度水平具有高的序列相关性,因为任何经验污染物浓度数据序列的自相关系数的计算都会显示出来。任何现实的浓度物理模型都将得出一个时期内的浓度水平比前一个时期内的浓度水平更可能接近前一个时期的浓度水平的结论。这个错误的假设显然在本文中不是唯一的或原始的,但可能是整个文献中的一部分。

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  • 来源
    《Atmospheric environment》 |2013年第6期|412|共1页
  • 作者

    Michael Edesess;

  • 作者单位

    Center for System Informatics Engineering, City University of Hong Kong, Room P6619, Academic 1, City University of Hong Kong, Tat Chee Avenue, Hong Kong, China;

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  • 正文语种 eng
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