Real-Time, Smart Rainwater Storage Systems: Potential Solution to Mitigate Urban Flooding

被引:24
|
作者
Liang, Ruijie [1 ]
Di Matteo, Michael [2 ]
Maier, Holger R. [1 ]
Thyer, Mark A. [1 ]
机构
[1] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA 5005, Australia
[2] Water Technol Pty Ltd, Adelaide, SA 5063, Australia
关键词
smart rainwater tanks; real-time control; urban flooding; simulation-optimization; genetic algorithms; EVOLUTIONARY ALGORITHMS; STORMWATER MANAGEMENT; WATER-RESOURCES; CLIMATE-CHANGE; OPTIMIZATION; FRAMEWORK; IMPACT; INFRASTRUCTURE; ADAPTATION; PEAKS;
D O I
10.3390/w11122428
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban water systems are being stressed due to the effects of urbanization and climate change. Although household rainwater tanks are primarily used for water supply purposes, they also have the potential to provide flood benefits. However, this potential is limited for critical storms, as they become ineffective once their capacity is exceeded. This limitation can be overcome by controlling tanks as systems during rainfall events, as this can offset the timing of outflow peaks from different tanks. In this paper, the effectiveness of such systems is tested for two tank sizes under a wide range of design rainfall conditions for three Australian cities with different climates. Results show that a generic relationship exists between the ratio of tank:runoff volume and percentage peak flow reduction, irrespective of location and storm characteristics. Smart tank systems are able to reduce peak system outflows by between 35% and 85% for corresponding ranges in tank:runoff volumes of 0.15-0.8. This corresponds to a relative performance improvement on the order of 35% to 50% compared with smart tanks that are not operated in real-time. These results highlight the potential for using household rainwater tanks for mitigating urban flooding, even for extreme events.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Assessing the role of sustainable water bodies in urban drainage systems to mitigate urban flooding: A case study of Gurgaon, Haryana, India
    Mondal, Arnab
    Garg, Rahul Dev
    PHYSICS AND CHEMISTRY OF THE EARTH, 2025, 137
  • [22] Parameter optimisation of real-time control strategies for urban wastewater systems
    Schütze, M
    Butler, D
    Beck, MB
    WATER SCIENCE AND TECHNOLOGY, 2001, 43 (07) : 139 - 146
  • [23] A novel approach to the real-time modelling of large urban drainage systems
    Norreys, R
    Cluckie, I
    WATER SCIENCE AND TECHNOLOGY, 1997, 36 (8-9) : 19 - 24
  • [24] An alternative for predicting real-time water levels of urban drainage systems
    Huang, Pin-Chun
    Lee, Kwan Tun
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 347
  • [25] Real-time control enhanced blue-green infrastructure towards torrential events: A smart predictive solution
    Zhou, Huaiyu
    Li, Ruidong
    Liu, Hailong
    Ni, Guangheng
    URBAN CLIMATE, 2023, 49
  • [26] RTAP: A Real-Time Model for Attack Detection and Prediction in Smart Grid Systems
    Salehpour, Ali
    Al-Anbagi, Irfan
    IEEE ACCESS, 2024, 12 : 130425 - 130443
  • [27] Evaluation of uncertain signals' impact on deep reinforcement learning-based real-time control strategy of urban drainage systems
    Zhang, Mofan
    Xu, Zhiwei
    Wang, Yiming
    Zeng, Siyu
    Dong, Xin
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 324
  • [28] Real-Time Energy Management for Smart Homes
    Paul, Subho
    Padhy, Narayana Prasad
    IEEE SYSTEMS JOURNAL, 2021, 15 (03): : 4177 - 4188
  • [29] Process Design of Cyclic Water Flooding by Real-Time Monitoring
    Pourabdollah, Kobra
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2018, 140 (11):
  • [30] A real-time energy management system for smart grid integrated photovoltaic generation with battery storage
    Nge, Chee Lim
    Ranaweera, Iromi U.
    Midtgard, Ole-Morten
    Norum, Lars
    RENEWABLE ENERGY, 2019, 130 : 774 - 785