Real-time prediction of rain-impacted sewage flow for on-line control of chemical dosing in sewers

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

29 Scopus Citations
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Author(s)

  • Jiuling Li
  • Keshab Sharma
  • Yiqi Liu
  • Guangming Jiang
  • Zhiguo Yuan

Detail(s)

Original languageEnglish
Pages (from-to)311-321
Journal / PublicationWater Research
Volume149
Publication statusPublished - 1 Feb 2019
Externally publishedYes

Abstract

Chemical dosing is a commonly used strategy for mitigating sewer corrosion and odour problems caused by sulfide production. Prediction of sewage flow variation in real-time is critical for the optimization of chemical dosing to achieve cost-effective mitigation of hydrogen sulfide (H2S). Autoregressive (AR) models have previously been used for real-time sewage prediction. However, the prediction showed significant delays in wet weather conditions. In this paper, autoregressive with exogenous inputs (ARX) models are employed to reduce the delays with rainfall data used as model inputs. The model is applied to predicting sewage flows at two real-life sewage pumping stations (SPSs) with different hydraulic characteristics and climatic conditions. The calibrated models were capable of predicting flow rates in both cases, much more accurately than previously developed AR models under wet weather conditions. Simulation of on-line chemical dosing control based on the predicted flows showed excellent sulfide mitigation performance at reduced cost. © 2018 Elsevier Ltd

Research Area(s)

  • ARX, Chemical dosing, Flow rate, Prediction, Rainfall, Sewer

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

Real-time prediction of rain-impacted sewage flow for on-line control of chemical dosing in sewers. / Li, Jiuling; Sharma, Keshab; Liu, Yiqi et al.
In: Water Research, Vol. 149, 01.02.2019, p. 311-321.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review