Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/5480
Title: Analysis of skewness and kurtosis for ambient air quality monitoring data - Neyveli thermal plants
Authors: Sriram, G
Krishnamohan, N
Gopalasamy, V
Keywords: Analysis
Air quality
Thermal plants
Issue Date: Sep-2004
Publisher: CSIR
Abstract: 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 particulate 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 particulate matter in the ambient air in the neighbourhood of Neyveli Thermal Power Corporation for finding ideal location of sampling stations.
Description: 769-775
URI: http://hdl.handle.net/123456789/5480
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.63(09) [September 2004]

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