4.8 Article

Real-time foul sewer hydraulic modelling driven by water consumption data from water distribution systems

期刊

WATER RESEARCH
卷 188, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2020.116544

关键词

Foul sewer system; Water consumption data; Real-time models; Water distribution system

资金

  1. National Natural Science Foundation of China [51922096]
  2. Excellent Youth Natural Science Foundation of Zhejiang Province, China [LR19E0800 03]

向作者/读者索取更多资源

A new method is proposed to develop real-time foul sewer system models using water consumption data from associated water distribution systems, which can accurately simulate sewer flows and manhole water depths with high efficiency values.
Real-time hydraulic modelling can be used to address a wide range of issues in a foul sewer system and hence can help improve its daily operation and maintenance. However, the current bottleneck within real-time FSS modelling is the lack of spatio-temporal inflow data. To address the problem, this paper proposes a new method to develop real-time FSS models driven by water consumption data from associated water distribution systems (WDSs) as they often have a proportionally larger number of sensors. Within the proposed method, the relationship between FSS manholes and WDS water consumption nodes are determined based on their underlying physical connections. An optimization approach is subsequently proposed to identify the transfer factor k between nodal water consumption and FSS manhole inflows based on historical observations. These identified k values combined with the acquired real-time nodal water consumption data drive the FSS real-time modelling. The proposed method is applied to two real FSSs. The results obtained show that it can produce simulated sewer flows and manhole water depths matching well with observations at the monitoring locations. The proposed method achieved high R-2, NSE and KGE (Kling-Gupta efficiency) values of 0.99, 0.88 and 0.92 respectively. It is anticipated that real-time models developed by the proposed method can be used for improved FSS management and operation. (C) 2020 Elsevier Ltd. All rights reserved.

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