Integrating Advanced Truck Models into Mobile Source PM2.5 Air Quality - Perugu, Harikishan
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In the first part of this research, we have proposed a methodology for estimating the disaggregated link-level hourly truck activity based on advanced statistics for pollution modeling process. In the second part of research, we have utilized the link-level hourly truck activity to predict the typical 24-hour and maximum 1-hr PM2.5 pollution in urban atmosphere. The proposed framework is tested using the data for the Cincinnati urban area and for four different seasonal weekdays in the analysis year 2010. This book provides a detailed procedure to estimate urban truck pollution using limited…mehr

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Produktbeschreibung
In the first part of this research, we have proposed a methodology for estimating the disaggregated link-level hourly truck activity based on advanced statistics for pollution modeling process. In the second part of research, we have utilized the link-level hourly truck activity to predict the typical 24-hour and maximum 1-hr PM2.5 pollution in urban atmosphere. The proposed framework is tested using the data for the Cincinnati urban area and for four different seasonal weekdays in the analysis year 2010. This book provides a detailed procedure to estimate urban truck pollution using limited traffic data and at the same time also provide a framework to test different truck regulations, which would be very helpful for the decision makers to take well informed decisions.
Autorenporträt
Dr. Perugu completed his PhD degree from University of Cincinnati. He has been working as Air Resources Engineer at California Air Resources Board, Sacramento, California. This book is based on his PhD dissertation.