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contributor authorBeibei Zhang
contributor authorSamuel T. Ariaratnam
contributor authorYouliang Huang
contributor authorChunxia Zhang
date accessioned2017-12-30T13:03:12Z
date available2017-12-30T13:03:12Z
date issued2016
identifier other%28ASCE%29AE.1943-5568.0000164.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245068
description abstractAs 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 (CO2e) 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 CO2e 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 CO2e emissions in the construction and operational phases were 517.52 t CO2e/km of pipe construction and 0.53 kg⋅CO2e/t for wastewater treatment, respectively. Finally, a forecasting model was developed to predict future CO2e emissions over a 5-year horizon, which is a contribution to the overall body of knowledge in environmental sustainability.
publisherAmerican Society of Civil Engineers
titleMethod for Estimating and Predicting CO2e Emissions: Case Study of an Urban Wastewater System in Suzhou, China
typeJournal Paper
journal volume22
journal issue4
journal titleJournal of Architectural Engineering
identifier doi10.1061/(ASCE)AE.1943-5568.0000164
pageA4014003
treeJournal of Architectural Engineering:;2016:;Volume ( 022 ):;issue: 004
contenttypeFulltext


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