Multiple linked sustainable drainage systems in hydrological modelling for urban drainage and flood risk management

Hellmers, Sandra; Manojlović, Nataša; Palmaricciotti, Giovanni; Kurzbach, Stefan; Fröhle, Peter

doi:10.1111/jfr3.12146

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Three urban growth and adaptation scenarios for Hamburg were used to model the effectiveness of local scale drainage measures (e.g., green roofs and larger scale retention areas) to reduce the peak flow rates and flood prone areas. The results of the application study are published in Hellmers et al, 2015 [38].…”

Section: Application Studies Of the Catchment Modelmentioning

confidence: 99%

Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling

Hellmers

Fröhle

2017

Water

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This article presents a methodology to optimize the integration of local scale drainage measures in catchment modelling. The methodology enables to zoom into the processes (physically, spatially and temporally) where detailed physical based computation is required and to zoom out where lumped conceptualized approaches are applied. It allows the definition of parameters and computation procedures on different spatial and temporal scales. Three methods are developed to integrate features of local scale drainage measures in catchment modelling: (1) different types of local drainage measures are spatially integrated in catchment modelling by a data mapping; (2) interlinked drainage features between data objects are enabled on the meso, local and micro scale; (3) a method for modelling multiple interlinked layers on the micro scale is developed. For the computation of flow routing on the meso scale, the results of the local scale measures are aggregated according to their contributing inlet in the network structure. The implementation of the methods is realized in a semi-distributed rainfall-runoff model. The implemented micro scale approach is validated with a laboratory physical model to confirm the credibility of the model. A study of a river catchment of 88 km 2 illustrated the applicability of the model on the regional scale.

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Section: Application Studies Of the Catchment Modelmentioning

confidence: 99%

Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling

Hellmers

Fröhle

2017

Water

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“…ese evaluations suggest that the small hydropower (SHP) development in UDS is feasible and the implementation of DT measures can effectively reduce the urban flood risk and consistently generate electricity through SHP [17]. In the context of climate change, Hellmers et al [18] evaluated how SUDS measures (e.g., infiltration, retention, and storage devices) could mitigate flood risk under different future land-use scenarios [18]. To address the uncertainty of future flood risk, Babovic and Mijic [19] proposed the application of the adaptation tipping points (ATP) in the process of developing adaptive strategies and provided a structured approach for long-term UDS planning.…”

Section: Introductionmentioning

confidence: 99%

Model-Predicted Control System for the Real-Time Operation of an Urban Drainage System to Mitigate Urban Flood Risk: A Case Study in the Liede River Catchment, Guangzhou, China

Quan

Chen

Jiang

et al. 2022

International Transactions on Electrical Energy Systems

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A model-predicted control (MPC) system, which is based on a storm water management model (SWMM) and uses a multi-objective particle swarm optimization algorithm, is developed and applied to optimize the real-time operation of an urban drainage system (UDS) in the Liede River catchment, Guangzhou, China. By comparing the results of three control scenarios (i.e., the original control scenario, the current MPC, and the ideal MPC) under three typical rainfall events, the results demonstrate that the MPC system can effectively mitigate urban flood risk in engineering applications and the decision-making of the MPC system is valid. By comparing the control results of the MPC system under different rainfall return periods (e.g., 1, 2, 3, 5, and 10 years), it is found that compared with the original control scenario, the total overflow is reduced by 10%, the total overflow time is reduced by 10%, or the node overflow start time is delayed by an average of 10 minutes, and the real-time control of the MPC system is only effective when the return period of the rainfall is less than three years. It is important to explore different ways of combining the MPC system and feasible capital measures to cope with urban flood risk and challenges of climate change in future works (e.g., mean sea level rise and intense rainfall).

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“…The region has worked 62 glacial lake outburst flood (GLOF) since 1935, occurring eight in Nepal [3], once every 3-10 years [4][5][6]. In recent decades, sustainability, resilience, and climate change adaptation flood control strategies have emerged [7], such as low impact development (LID) [8,9], sustainable drainage systems (SUDS) [10,11], green infrastructure (GI) [12][13][14], water sensitive urban design (WSUD) [15,16], etc., which have received positive responses in developed countries. For developing countries faced with population pressure and food shortages, forcing societies to use floodplains, engineering measures, such as dredging rivers, strengthening drainage systems, and building flood walls, continue to be taken to reduce the impact of flooding [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Flood Season Staging and Adjustment of Limited Water Level for a Multi-Purpose Reservoir

Deng

Lei

et al. 2022

Water

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A reasonable flood season delineation can effectively implement staged reservoir scheduling and improve water resource efficiency. Therefore, this study is aimed at analyzing the flood period segmentation and optimizing the staged flood limit water levels (FLWLs) for a multi-purpose reservoir, the Longtan Reservoir, China. The rainfall seasonality index (SIP) and the runoff seasonality index (SIR) are used to evaluate the feasibility and rationality of the flood period staging. The fractal method is then used to segment the flood season. Finally, the design flood is carried out to optimize the staged FLWLs. The results show that the SI is an effective indicator for judging the feasibility and verifying the rationality of flood segmentation. The flood period can be segmented into the pre-flood season (12 April–29 May), the main flood season (30 May–3 September), and the post-flood season (4 September–9 November). The FLWLs in the main flood and the post-flood season can be raised by 2.05 m and 3.45 m, and the effective reservoir capacity is increased by 5.810 billion m3 and 6.337 billion m3, according to the results of the flood season division.

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Multiple linked sustainable drainage systems in hydrological modelling for urban drainage and flood risk management

Cited by 8 publications

References 6 publications

Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling

Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling

Model-Predicted Control System for the Real-Time Operation of an Urban Drainage System to Mitigate Urban Flood Risk: A Case Study in the Liede River Catchment, Guangzhou, China

Flood Season Staging and Adjustment of Limited Water Level for a Multi-Purpose Reservoir

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