Air Pollution Modeling for Thermal Power Plants » książka
Air Pollution Modeling for Thermal Power Plants
ISBN-13: 9783659685842 / Angielski / Miękka / 2015 / 188 str.
A comprehensive book presenting the introduction of air pollutants and their impacts. The coverage includes a literature review of air quality monitoring and modeling. Also discussed the methodology for dispersion modeling of air pollutants in thermal power plants. An attempt has been made for the development of Emissions inventory, the Emissions inventory provided all the basic information and data required for air pollution modeling, and clearly described the details of site specific conditions. Also the book covered the prediction of primary pollutants using Gaussian formulae with worst case input data, the prediction of primary pollutants using ISCST3 model with site-specific data and the development of Artificial Neural Network model for forecasting of ground level ozone in the vicinity of a Thermal power plant. ANN model was used to resolve the complex correlation between ozone and other input parameters particularly Nitrogen oxides and temperature. With its systematic approach, unified presentation and comprehensive coverage, including data pertaining to Thermal power plant conditions, the book would be immensely useful to practicing environmental engineers.
A comprehensive book presenting the introduction of air pollutants and their impacts. The coverage includes a literature review of air quality monitoring and modeling. Also discussed the methodology for dispersion modeling of air pollutants in thermal power plants. An attempt has been made for the development of Emissions inventory, the Emissions inventory provided all the basic information and data required for air pollution modeling, and clearly described the details of site specific conditions. Also the book covered the prediction of primary pollutants using Gaussian formulae with worst case input data, the prediction of primary pollutants using ISCST3 model with site-specific data and the development of Artificial Neural Network model for forecasting of ground level ozone in the vicinity of a Thermal power plant. ANN model was used to resolve the complex correlation between ozone and other input parameters particularly Nitrogen oxides and temperature. With its systematic approach, unified presentation and comprehensive coverage, including data pertaining to Thermal power plant conditions, the book would be immensely useful to practicing environmental engineers.
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