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首页> 外文期刊>Journal of Scientific & Industrial Research >Analysis of skewness and kurtosis for ambient air quality monitoring data — Neyveli thermal plants
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Analysis of skewness and kurtosis for ambient air quality monitoring data — Neyveli thermal plants

机译：用于环境空气质量监测数据的偏斜度和峰度分析— Neyveli热电厂

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摘要

Air pollution adversely affect biological, physical, and human respiratory systems. Monitoring variations of ambient air quality is therefore essential. Like application of probability analysis in the design of mechanical dust collectors this type of analysis can be applied in other ways in air pollution work. Positively skewed distributions are characteristics of naturally occurring phenomena such as, rain fall intensity, wind force, and stream flow. In air pollution phenomena, a good many data are of this type. Dust fall and atmospheric paniculate and gaseous concentrations are typical examples. Knowledge of pollution distribution and direction is important when choosing air sampling station. Keeping this in view the air quality study made in September 1988 is analyzed in respect of sulphur dioxide and suspended paniculate matter in the ambient air in the neighbourhood of Neyveli Thermal Power Corporation for finding ideal location of sampling stations.
机译：空气污染会对生物，身体和人类呼吸系统产生不利影响。因此，监测环境空气质量的变化至关重要。就像概率分析在机械集尘器设计中的应用一样，这种类型的分析可以以其他方式应用于空气污染工作。正偏分布是自然现象的特征，例如降雨强度，风力和水流。在空气污染现象中，很多此类数据。降尘，大气颗粒物和气体浓度是典型的例子。选择空气采样站时，了解污染的分布和方向很重要。考虑到这一点，对Neyveli热力公司附近的环境空气中的二氧化硫和悬浮颗粒物进行了1988年9月的空气质量研究，以寻找理想的采样站位置。

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