Method for Estimating and Predicting Emissions: Case Study of an Urban Wastewater System in Suzhou, China
Publication: Journal of Architectural Engineering
Volume 22, Issue 4
Abstract
As a fundamental infrastructure to sustain human activities and development, urban wastewater systems are becoming more and more important in the context of population growth and business expansion. It is important to analyze and assess environmental impacts of these systems to community development. This paper presents a model developed for estimating carbon dioxide equivalent () emissions resulting from urban wastewater systems addressing both construction and operational activities. Construction emissions are divided into three categories: material manufacture, material transportation, and pipe installation. Operational emissions include the following: energy consumption–related emissions and wastewater treatment–related emissions. Emission factors of gasoline, diesel oil, and electricity were calculated. The model was demonstrated by applying it to the wastewater system in the city of Suzhou, China, to quantify emissions for the period of 2005–2010. The results highlight the high proportion of emissions from material manufacturing during the construction stage and electricity usage during the operational stage. The emissions in the construction and operational phases were of pipe construction and for wastewater treatment, respectively. Finally, a forecasting model was developed to predict future emissions over a 5-year horizon, which is a contribution to the overall body of knowledge in environmental sustainability.
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Acknowledgments
This work was supported by the Postgraduate Scientific and Technical Innovation Project in Universities and Colleges of Jiangsu Province under Grant No. CXLX_0161.
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Published In
Journal of Architectural Engineering
Volume 22 • Issue 4 • December 2016
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© 2014 American Society of Civil Engineers.
History
Received: Apr 24, 2014
Accepted: Oct 7, 2014
Published online: Nov 12, 2014
Published in print: Dec 1, 2016
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