文章基本信息

标题：A Clean Technology for Future Prospective: Emission Modeling of Gas Based Power Plant
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作者：Markandeya ; S. P. Shukla ; G. C. Kisku 等
期刊名称：Open Journal of Air Pollution
印刷版ISSN：2169-2653
电子版ISSN：2169-2661
出版年度：2016
卷号：05
期号：04
页码：144-159
DOI：10.4236/ojap.2016.54011
语种：English
出版社：Scientific Research Publishing
摘要：The aim of present research is to study the dispersion of air pollutants using the air quality model, AERMOD and to predict the impact of pollutants (PM10, NO2 and CO) at the receptor level released from Gas Based Power Plant (GBPP). The net-concentrations including monitored data plus predicted values of PM10, NO2 and CO would be increased from base value 75 to 77.61 μg/m3 with an increase of 3.48%, 22 to 26.66 μg/m3 with an increase of 21.18% and 428 to 538.37 μg/m3 with an increase of 25.79% respectively. The study of hill effect showed that it had profound impact upon the dispersion of pollutants and the ratio (with hill and without hill) of each pollutant was 3.89 for PM10 (24 hr), 2.40 for NO2 (24 hr) and 13.98 for CO (1 hr). The natural gas based plant not only decreases the pollution level but also reduces the hospital treatment cost and protects the public health. The modeling results suggest that the GBPP could be a clean technology as replacement of coal power plants located in the city which pollute the environment considerably in spite of control measures installed.
关键词：Gas Based Power Plant;AERMOD;Fine Particulates and Gaseous Pollutants;Health Effects