Prediction of SPM, SO2 and NO2 Concentrations in The Vicinity of Cement Industry Using Gaussian Model

被引:0
作者
Varma, S. Anand Kumar [1 ]
Sathish, U. [1 ]
Nagarajan, N. [1 ]
机构
[1] VSB Engn Coll, Dept Civil Engn, Karur 639111, Tamil Nadu, India
来源
RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES | 2016年 / 7卷 / 06期
关键词
cement industry; point source; Primary Pollutants; Gaussian model; Ambient Air Quality Standards;
D O I
暂无
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The burning of limestone creates sulphide emissions, a major contributor to acid rain. Limestone (primarily calcium carbonate) is converted to quicklime (calcium oxide) through prolonged exposure to high heat. This removes water and carbon from the stone and releases carbon dioxide into the atmosphere. In cement industry the coal is used for heating process. Combustion of coal along with lime stone is the main source for the emission of air pollutants. This study deals with the prediction of ground level concentration of Suspended Particulate Matter (SPM), Sulphur dioxide (SO2), and Nitrogen dioxide (NO2). By using Gaussian model at various receptor points from a point source of a cement plant. Basically pollutant dispersion model is the mathematical formulation to explain how pollutants from various sources disperse in the atmosphere. The point source selected for this work is Ultra Tech Cement Ltd Andhra Pradesh Cement Works is located at Bhogasamudram, 16 km. from Tadipatri mandal in Anantpur district, Andhra Pradesh, India. Concentrations of SPM, SO2 and NOX are predicted for annual and 24 hour averaging periods at various points and compared with National Ambient Air Quality Standards.
引用
收藏
页码:2060 / 2067
页数:8
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