PH dynamics in sewers and its modeling

Sharma, Keshab, Ganigue, Ramon and Yuan, Zhiguo (2013) PH dynamics in sewers and its modeling. Water Research, 47 16: 6086-6096. doi:10.1016/j.watres.2013.07.027

Author Sharma, Keshab
Ganigue, Ramon
Yuan, Zhiguo
Title PH dynamics in sewers and its modeling
Journal name Water Research   Check publisher's open access policy
ISSN 0043-1354
Publication date 2013-10-15
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.watres.2013.07.027
Open Access Status
Volume 47
Issue 16
Start page 6086
End page 6096
Total pages 11
Place of publication London, United Kingdom
Publisher I W A Publishing
Language eng
Subject 2312 Water Science and Technology
2311 Waste Management and Disposal
2310 Pollution
2302 Ecological Modelling
Abstract pH variation in sewers has a significant effect on hydrogen sulfide production and emissions, and hence its accurate prediction is critical for the optimization of mitigation strategies. In this study, the nature and dynamics of pH variation in a sewer system is examined. Three sewer systems collecting domestic wastewater were monitored, with pH in all cases showing large diurnal variations. pH in fresh sewage in all three cases had a very similar trend with maximum pH in the range of 8.5-8.7. pH variation in fresh sewage followed the same pattern as the sewage flow rate, suggesting that sewage pH is influenced by household water use. Nitrogen content of the wastewater was found to be the most influential factor causing pH variation in fresh sewage, with the total ammonium concentration variation well correlated with the pH variation. A methodology for predicting pH variation in sewers is developed and calibration protocols proposed. The methodology, which is based on the concept of charge balance, was validated using titration curves and field pH data. Measurement of the total ammonium concentration in fresh sewage was found necessary and adequate for the calibration of the charge balance-based pH model.
Keyword Modeling
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID LP0882016
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
Advanced Water Management Centre Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 20 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 29 Nov 2013, 06:20:24 EST by System User on behalf of Advanced Water Management Centre