A data-driven improved fuzzy logic control optimization-simulation tool for reducing flooding volume at downstream urban drainage systems

Li, Jia‐Da

doi:10.1016/j.scitotenv.2020.138931

Cited by 54 publications

(23 citation statements)

References 68 publications

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“…Other recent applications of RTC approaches using heuristic controls for water quality enhancement such as the on/off and detention control (Sharior et al 2019), fuzzy-logic and data-driven algorithms with genetic algorithms (Li 2020), and deep learning (Mullapudi et al 2020) are found in the literature and address different applications of RTC of urban drainage than our study. From these studies, we categorize RTC for separated urban drainage systems into (1) static and/or optimization-based reactive controls (i.e., control algorithm according to measured or estimated states); and (2) predictive-or optimization-based controls (i.e., control algorithms that consider future states estimation using rainfall forecasting and hydrological models).…”

Section: Literature Reviewmentioning

confidence: 77%

Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies

Júnior

Giacomoni

Taha

et al. 2022

J. Water Resour. Plann. Manage.

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The increasing access to inexpensive sensors, computing power, and more accurate forecasting of storm events provides unique opportunities to shift flood management practices from static approaches to an optimization-based real-time control (RTC) of urban drainage systems. Recent studies have addressed a plethora of strategies for flood control in stormwater reservoirs; however, advanced control theoretic techniques are not yet fully investigated and applied to these systems. In addition, there is an absence of a coupled integrated control model for systems composed of watersheds, reservoirs, and channels for flood mitigation. To this end, we developed a novel nonlinear state-space model of hydrologic and hydrodynamic processes in watersheds, reservoirs, and one-dimensional channels. The model was tested under different types of reservoir control strategies based on real-time measurements (reactive control) and predictions of the future behavior of the system (predictive control) using rainfall forecastings. We applied the modeling approach in a system composed of a single watershed, reservoir, and channel connected in series for the observed rainfall data in San Antonio. Results indicate that for flood mitigation, the predictive control strategy outperforms the reactive controls not only when applied for synthetic design storm events, but also for a continuous simulation. Moreover, the predictive control strategy requires smaller valve operations while still guaranteeing efficient hydrological performance. From the results, we recommend the use of the nonlinear model predictive control strategy to control stormwater systems because of the ability to handle different objective functions, which can be altered according to rainfall forecasting and shift the reservoir operation from flood-based control to strategies focused on increasing detention times, depending on the forecasting.

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Section: Literature Reviewmentioning

confidence: 77%

Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies

Júnior

Giacomoni

Taha

et al. 2022

J. Water Resour. Plann. Manage.

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“…The urban redeveloping projects accelerate urban landscape changes from less impervious to highly impervious surfaces. Currently, Surga House is expected to be redeveloped for commercial or mixed-residential/commercial districts, including middle-rise multi-family housing, high-rise apartment buildings, and middle-rise shopping stores (Li, 2020;Li and Bortolot, 2022). The urban redevelopment programs increase the percentage of impervious areas, which constitute relatively poorly draining surfaces (Web Soil Survey, 2018).…”

Section: The Study Areamentioning

confidence: 99%

“…The human-induced urban redevelopment (urban infill or redeveloping infill), as a form of urbanization, transforms the single-family housing to multi-family housings or taller apartments so that the lower density land cover has to be redeveloped to high density with highly impervious land surfaces (Pond and Dietz, 2006). During the urban redeveloping process, urban runoff is less likely to be infiltrated and absorbed by the soil, and finally runs into UDSs and overtops system conveyance and storage capacity (Li, 2021(Li, , 2020Li et al, 2019a;Panos et al, 2018). In order to maintain the system services and prevent drainage system failures, it is critically important to minimize flooding consequences affected by climate change and land cover change due to urban redevelopment (Hekl and Dymond, 2016;Kong et al, 2017;Li et al, 2020;Madsen et al, 2014;Oberascher et al, 2021;Panos et al, 2020;Yao et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Assessing Impacts of Future Land Cover and Rainfall Change on Urban Flooding Using An Event-based Resilience Index

Burian²,

Strong³

2023

Preprint

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Assessing the resilience of urban drainage systems requires the consideration of future threats that will disrupt the system performance and trigger urban flooding failures. However, most existing resilience assessments of urban drainage systems rarely consider the uncertainties from future urban redevelopment and climate change, which leads to the underestimation of future disturbances toward system performance. This paper fills in the gap of assessing the combined and relative impacts of future impervious land cover and rainfall changes on flooding resilience in the context of a densely-infilled urban catchment severed by an urban drainage system in Salt Lake City, Utah, the USA. An event-based flooding resilience index is proposed to measure climatic and urbanized impacts on flooding resilience from system-level to junction-level, enabling engineers to harvests high-resolution infrastructure adaptation strategies at the vulnerable spots. Impact comparison shows that imperious urban surface induces more effects on the system performance curves by magnifying the maximum failure level, lengthening the recovery duration, and aggravating the flooding severity than future rainfall changes. A nonlinear logarithm resilience correlation is found, and this finding shows that flooding resilience is more sensitive to the land imperviousness change due to urban redevelopment than rainfall intensity change in the case study. This research work predicts the system response to the uncertainties induced by climate change and urban redevelopment, improving the understanding of impacts analysis and contributing to the advancement of resilient urban drainage systems in changing environments.

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“…Smart stormwater systems with real-time control (RTC) have re-emerged as an adaptive solution to improve infrastructure performance in mitigating urban flooding dynamically. The implementation of RTC contributes to reducing the drainage peak flow (Schmitt et al, 2020;Shishegar et al, 2019), diminishing urban flooding volume (Li, 2020;Mullapudi et al, 2020), controlling combined sewer overflow (Rathnayake and Faisal Anwar, 2019), keeping streams healthy (Xu et al, 2020), and improving water and stormwater quality (Sharior et al, 2019;Troutman et al, 2020). Implementing RTC involves retrofitting (or building with new) UDSs with water level sensors, flow sensors, actuators, and moveable gates to achieve real-time sensing and controlling of system operations (Marchese et al, 2018;Schütze et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections

Burian²

2023

Preprint

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Traditional stormwater control measures are designed to handle system loadings induced by fixed-size storm events. However, climate change is predicted to alter the frequency and intensity of flooding events, stimulating the need to explore another more adaptive flooding solution like real-time control (RTC). This study assesses the performance of RTC to mitigate impacts of climate change on urban flooding resilience. A simulated, yet realistic, urban drainage system in Salt Lake City, Utah, USA, shows that RTC improves the flooding resilience by up to 17% under climatic rainfall changes. Compared with green stormwatrer infrastructure (GSI), RTC exhibits a lower resistibility, lower flooding failure level, and higher recovery rate in system performance curves. Results articulate that keeping RTC’s performance consistent under ‘back-to-back’ storms requires a tradeoff between upstream dynamical operation and downstream flooding functionality loss. This research suggests that RTC provides a new path towards smart and resilient stormwater management strategy.

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A data-driven improved fuzzy logic control optimization-simulation tool for reducing flooding volume at downstream urban drainage systems

Cited by 54 publications

References 68 publications

Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies

Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies

Assessing Impacts of Future Land Cover and Rainfall Change on Urban Flooding Using An Event-based Resilience Index

Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections

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