Characterization and Uncertainty Analysis of VOCs Emissions from Industrial Wastewater Treatment Plants

Zhang, K

HERO ID

2630164

Reference Type

Journal Article

Year

2010

Language

English

HERO ID 2630164
In Press No
Year 2010
Title Characterization and Uncertainty Analysis of VOCs Emissions from Industrial Wastewater Treatment Plants
Authors Zhang, K
Journal Environmental Progress and Sustainable Energy
Volume 29
Issue 3
Page Numbers 265-271
Abstract Air toxics from the industrial wastewater treatment plants (IWTPs) impose serious health concerns on its surrounding residential neighborhoods. To address such health concerns, one of the key challenges is to quantify the air emissions from the IWTPs. The objective here is to characterize the air emissions from the IWTPs and quantify its associated uncertainty. An IWTP receiving the wastewaters from an airplane maintenance facility is used for illustration with focus on the quantification of air emissions for benzyl alcohol, phenol, methylene chloride, 2-butanone, and acetone. Two general fate models, i.e., WATER9 and TOXCHEM+V3.0 were used to model the IWTP and quantify the air emissions. Monte Carlo and Bootstrap simulation were used for uncertainty analysis. On average, air emissions from the IWTP were estimated to range from 0.003 lb/d to approximately 16 lb/d with phenol being the highest and benzyl alcohol being the least. However, emissions are associated with large uncertainty. The ratio of the 97.5th percentile to the 2.5th percentile air emissions ranged from 5 to 50 depending on pollutants. This indicates point estimates of air emissions might fail to capture the worst scenarios, leading to inaccurate conclusion when used for health risk assessment. (C) 2009 American Institute of Chemical Engineers Environ Prog, 29: 265-271, 2010
Doi 10.1002/ep.10377
Wosid WOS:000282157900001
Is Certified Translation No
Dupe Override No
Comments Scopus URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956472312&doi=10.1002%2fep.10377&partnerID=40&md5=86bcdb0de17fa7d4ae8e8df5632dc3ad
Is Public Yes
Language Text English
Keyword air toxics; general fate model; Monte Carlo simulation; bootstrap simulation