Optimal control strategies for stormwater detention ponds DOI Creative Commons
Martijn A. Goorden, Kim G. Larsen, Jesper Ellerbæk Nielsen

и другие.

Nonlinear Analysis Hybrid Systems, Год журнала: 2024, Номер 53, С. 101504 - 101504

Опубликована: Май 10, 2024

Stormwater detention ponds are essential stormwater management solutions that regulate the urban catchment discharge towards streams. Their purposes to reduce hydraulic load avoid stream erosion, as well minimize degradation of natural waterbody by direct pollutants. Currently, static controllers widely implemented for pond outflow regulation in engineering practice, i.e., is capped at a fixed value. Such passive setting fails exploit full potential overall water system, hence further improvements needed. We apply formal methods synthesize (i.e., derive automatically) optimal active controllers. model pond, including area and rain forecasts with its uncertainty, hybrid Markov decision processes. Subsequently, we use tool Uppaal Stratego using Q-learning control strategy maximizing retention time pollutant sedimentation (optimality) while also minimizing duration emergency overflow (safety). These strategies synthesized both an off-line on-line settings. Simulation results existing show can learn significantly overflows. For controllers, scenario low periods shows 26% improvement respect control, high reduction probability 10%–19% lower than 5%, has only declined 7% compared static-control. one heavy 95% 29% control.

Язык: Английский

Real-time control enhanced blue-green infrastructure towards torrential events: A smart predictive solution DOI
Huaiyu Zhou, Ruidong Li, Hailong Liu

и другие.

Urban Climate, Год журнала: 2023, Номер 49, С. 101439 - 101439

Опубликована: Фев. 9, 2023

Язык: Английский

Процитировано

14

Realising smarter stormwater management: A review of the barriers and a roadmap for real world application DOI Creative Commons
Chris Sweetapple, James L. Webber,

Anna Hastings

и другие.

Water Research, Год журнала: 2023, Номер 244, С. 120505 - 120505

Опубликована: Авг. 19, 2023

Effective management of stormwater systems is necessary for protection both the built and natural environments. However, facing multiple, growing challenges, including climate change, ageing infrastructure, population growth, urbanisation, environmental concerns, regulatory institutional changes public awareness. While potential 'smart', internet-of-things enabled to address these challenges increasingly being recognised, with considerable evidence in literature benefits more data-driven approaches, implementation date remains low. This paper, therefore, provides a comprehensive review barriers adoption smarter practices that require addressing, roadmap real world application. Barriers related all elements management, from asset sensing data analytics online optimisation, are identified. Technical discussed include availability reliability technologies, technological physical limitations, decision making, uncertainty security. rapidly reducing there increasing academic efficacy smart technologies. socio-economic remain significant challenge, issues such as trust lack confidence, resistance expense, knowledge guidance reviewed. A 'smart wheel' flexible iterative approach implementing functionality also presented. Whilst acting roadmap, this aims facilitate structured methodology overcoming benchmarking progress, may be used explore trade-offs relationships between differing levels each constituent technologies system.

Язык: Английский

Процитировано

14

Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall DOI Creative Commons
Lanxin Sun, Jun Xia, Dunxian She

и другие.

Water Resources Research, Год журнала: 2024, Номер 60(4)

Опубликована: Апрель 1, 2024

Abstract The integration of green‐gray infrastructures with advanced control approaches is revolutionizing the stormwater system retrofitting, emerging as an innovative strategy to mitigate urban flood risks. However, a major challenge lies in balancing substantial investments these infrastructure projects their environmental benefits, such reduced flooding volume and lower peak flow. Model predictive (MPC), dynamic intelligent approach, optimizes benefits but underutilized design phase for cost‐effectiveness analysis. This study introduces multi‐scenario model framework that incorporates MPC other into designs, including implementation controlled storage tanks green infrastructures. provides comprehensive modeling tools practitioners evaluate costs across various designs scenarios, ultimately identifying solutions are both environmentally economically viable. A case conducted small catchment area Shenzhen City, China, demonstrates effectiveness this framework. results indicate outperforms particularly under heavy or extreme rainfall conditions. Notably, not only superior also yields considerable cost savings, ranging from 1,787 9,371 USD per hectare compared static control, equating 5% reduction relative rule‐based control. Such findings suggest integrating cost‐effective alternative extensive expansion management, which significantly enhances benefit contribution without additional expenses.

Язык: Английский

Процитировано

6

Real-time controlled rainwater harvesting systems can improve the performance of stormwater networks DOI
Wei D. Xu, Matthew J. Burns, Frédéric Cherqui

и другие.

Journal of Hydrology, Год журнала: 2022, Номер 614, С. 128503 - 128503

Опубликована: Окт. 4, 2022

Язык: Английский

Процитировано

21

A predictive fuzzy logic and rule-based control approach for practical real-time operation of urban stormwater storage system DOI
Lanxin Sun, Jun Xia, Dunxian She

и другие.

Water Research, Год журнала: 2024, Номер 266, С. 122437 - 122437

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

4

Multi-objective optimization of urban stormwater systems DOI

Bozhen Wang,

Yongwei Gong, Xin Li

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 386, С. 125671 - 125671

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Urban Stormwater Management: Comparative Analysis of Traditional and Sustainable Approaches for Ecological Restoration DOI
Hongmei Ma

Highlights in Science Engineering and Technology, Год журнала: 2025, Номер 141, С. 1 - 7

Опубликована: Май 23, 2025

With the intensification of global urbanization and climate change, natural hydrological cycle has been significantly disrupted, resulting in increased frequency flooding, pollution from non-point sources, degradation ecosystems. This study systematically reviews traditional sustainable stormwater management methods, focusing on their technical characteristics application effects urban ecological restoration. Through case studies, paper discusses results low impact development (LID), sponge city intelligent system. For example, Sponge City pilot Suzhou, nitrogen phosphorus reduction rates wetlands reached 62% 46%, respectively, while vegetation-filtered zones biodiversity. found that, compared to centralized methods with rapid drainage as goal, approach not only improves water quality, but also enhances resilience cities through restoration resource optimization. The significance this is integrate nature-based solutions advanced technologies, providing theoretical support practical guidance for It offers innovative pathways tackle challenges directs future interdisciplinary research practices.

Язык: Английский

Процитировано

0

Technology in support of nature-based solutions requires understanding everyday experiences DOI Creative Commons
Jiayang Li,

Joan Iverson Nassauer

Ecology and Society, Год журнала: 2021, Номер 26(4)

Опубликована: Янв. 1, 2021

Nature-based solutions that incorporate "smart" technologies to enhance ecosystem services delivery may change the way people experience urban nature in their everyday lives.We lay out a conceptual basis for considering such changes and social impacts.Cities are increasingly recognized as complex social-ecological-technological systems which sustainability climate resilience require environmental function be paired with innovative technology.Smart real-time monitoring autonomous operation promise innovations landscape management.However, this can fully realized only adequate consideration of impacts.Drawing on literature studies, psychology, behavioral economics, public health, aesthetics, we initiate discussion connecting experiences impacts smart nature-based local communities' support implementation.We describe what makes pleasant related well-being benefits cultural values, elucidate how these depend perceivable characteristics sometimes directly linked functions.Then, based literature, speculate about adopting manage noticeably novel ways have unintended negative nature.We illustrate an example: stormwater management retention ponds.We conclude risk degraded must considered addressed development solutions.If ensured through appropriate design, not realize societal co-benefits, but also gain acceptance continued from whole set they deliver.

Язык: Английский

Процитировано

23

Exploring Cost-effective Implementation of Real-time Control to Enhance Flooding Resilience against Future Rainfall and Land Cover Changes DOI Open Access
Jiada Li, Steven J. Burian, Ryan Johnson

и другие.

Authorea (Authorea), Год журнала: 2023, Номер unknown

Опубликована: Март 6, 2023

Advances in sensing and controlling technology accelerate the application of real-time control (RTC) stormwater management.RTC enables existing urban drainage systems (UDSs) to be retrofitted autonomously controlled adapt increasing runoff volume peak flow rates associated with extreme storm events.The goal this research is utilize RTC promote resilient UDSs' performance against disturbances induced by climate land cover changes.The present study investigates cost-effectiveness enhancing flooding resilience.We developed an predictive adaptation strategy at incremental levels (0%, 33%, 67%, 100%) using Python U.S. Environmental Protection Agency's Storm Water Management Model (SWMM).A UDS located Salt Lake City, Utah, USA, served as case study.Results showed that implementation smart enhances resilience up 37% under future combined changes rainfall intensity imperviousness.The partially (67% 33% levels) outperforms fully system (100% level) when factoring costs.RTC a cost-effective strategy: one million USD investment 3.2% 30year life cycle.These findings support establishing approaches create new generation adaptive uncertain conditions.

Язык: Английский

Процитировано

9

Application of Internet of Things (IoT) Technologies in Green Stormwater Infrastructure (GSI): A Bibliometric Review DOI Open Access
Tong Chen, Mo Wang, Jin Su

и другие.

Sustainability, Год журнала: 2023, Номер 15(18), С. 13317 - 13317

Опубликована: Сен. 5, 2023

This bibliometric review elucidates the emerging intersection of Internet Things (IoT) technologies and Green Stormwater Infrastructure (GSI), demonstrating potential to reshape urban stormwater management. The study analyzes a steadily increasing corpus literature since 2013, pointing out considerable international collaboration. Prominent contributions originate from United States, Canada, Italy, China, Australia, underscoring global acknowledgement IoT-enhanced GSI. Diverse GSI applications such as green roofs, smart rain barrels, bioretention systems, detention ponds have demonstrated enhanced efficiency real-time control with IoT integration. However, existing reveals several challenges, notably requirement advanced monitoring, development predictive optimization strategies, extensive scalability. Comprehensive cost–benefit analyses are also critical for widespread acceptance IoT-integrated Current research addresses these challenges by exploring innovative strategies microbial-fuel-cell-powered soil moisture sensors large-scale RTC systems. Emphasis is on need security measures against digital threats. Future needs focus data-based monitoring plans, model validation, continuous optimization, supportive policy frameworks. As world confronts development, climate change, aging infrastructure, synergism presents promising solution effective management enhancement cultural ecosystem services. Continued exploration in this domain crucial pave way smarter, greener environments.

Язык: Английский

Процитировано

9