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Author:

Zhou, Jinjun (Zhou, Jinjun.) | Pang, Yali (Pang, Yali.) | Wang, Hao (Wang, Hao.) | Li, Wentao (Li, Wentao.) | Liu, Jiahong (Liu, Jiahong.) | Luo, Zhuoran (Luo, Zhuoran.) | Shao, Weiwei (Shao, Weiwei.) | Zhang, Haijia (Zhang, Haijia.)

Indexed by:

EI Scopus SCIE

Abstract:

Non-Pharmaceutical Interventions (NPIs) have been widely employed globally over the past three years to control the rapid spread of coronavirus disease 2019 (COVID-19). These measures have imposed restrictions on urban residents' activities and significantly influenced sewage discharge characteristics within sewage network, particularly in densely populated cities in China. This study focused on the nodal flow diurnal patterns and sewage network operational risks before and after epidemic lockdown in Beijing from March to May in 2022. Nodal flow diurnal patterns on weekdays and weekends before and after NPIs were analyzed using measured data through statistical and mathematical methods. A sewage network model was established to simulate and analyze the operational risks based on InfoWorks ICM before and after epidemic lockdown. The main conclusions were as follows: (1) In predominantly residential areas, the total wastewater volume increased by approximately 28.76 % to 33.52 % after the implementation of strict NPIs. The morning and midday "M" peaks on normalized weekdays transformed into "N" peaks, and the morning peak time was delayed by 0.5 to 1 hour after the lockdown; (2) Following NPIs, More than 90 % of manholes' average water levels rose to varying degrees, approximately 50 % of pipe lengths exhibited a full flow state; (3) When the lockdown was in place during a hot summer day, sewage overflow phenomena were observed in 4.6 % and 9.6 % of manholes, respectively, with per capita daily drainage equivalent reaching 40-50 %. These findings hold significant implications for the proactive planning and operational management of water industry infrastructure during major emergencies.

Keyword:

Urban sewage network Operational risks NPIs Nodal flow diurnal patterns COVID-19

Author Community:

  • [ 1 ] [Zhou, Jinjun]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Pang, Yali]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Hao]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Wentao]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Haijia]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 6 ] [Liu, Jiahong]China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
  • [ 7 ] [Shao, Weiwei]China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
  • [ 8 ] [Luo, Zhuoran]North China Elect Power Univ, Sch Water Resources & Hydropower Engn, Beijing 102206, Peoples R China

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Source :

WATER RESEARCH

ISSN: 0043-1354

Year: 2023

Volume: 246

1 2 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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