Proceedings of the 2016 International Conference on Advances in Energy, Environment and Chemical Science

An Revised Factors Model For Estimation And Prediction Of Greenhous Gas Emission In Wastewater Treatment Plant

Authors
Qianyun Zhang, Ling Xu, Jiannan Li
Corresponding Author
Qianyun Zhang
Available Online May 2016.
DOI
https://doi.org/10.2991/aeecs-16.2016.9How to use a DOI?
Keywords
Greenhouse gas; Wastewater treatment; Expert scoring method; Hybrid process.
Abstract
A comprehensive mathematical model has been revised to estimate greenhouse gas (GHG) emissions by urban wastewater treatment plants (WWTP) resulting from on-site activities. The contribution of individual processes and well-management levels of WWTPs to the production of GHGs in hybrid treatment system has been determined. Using the revised mathematical model, we estimate the total CO2 equivalent mass and per unit COD removal mass of emission in Dalian City from year 2004 to 2013. According to the results, our prediction is that the overall CO2 equivalent mass of emission will continue to increase, but improvement of wastewater treatment technology and automatic detection can efficiently reduce the growth. The revised emission factor of GHG emissions from nutrient removal in the overall GHG emissions of WWTPs increased the accuracy and completeness of this estimation, lending support to the novelty of the present study.
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Proceedings
2016 International Conference on Advances in Energy, Environment and Chemical Science
Part of series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-194-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/aeecs-16.2016.9How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qianyun Zhang
AU  - Ling Xu
AU  - Jiannan Li
PY  - 2016/05
DA  - 2016/05
TI  - An Revised Factors Model For Estimation And Prediction Of Greenhous Gas Emission In Wastewater Treatment Plant
BT  - 2016 International Conference on Advances in Energy, Environment and Chemical Science
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeecs-16.2016.9
DO  - https://doi.org/10.2991/aeecs-16.2016.9
ID  - Zhang2016/05
ER  -