Assessing the impact of spatial allocation of bioretention cells on shallow groundwater – An integrated surface-subsurface catchment-scale analysis with SWMM-MODFLOW

Zhang, Kun; Chui, Ting Fong May

doi:10.1016/j.jhydrol.2020.124910

Cited by 23 publications

(13 citation statements)

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“…Zhang and Chui [73] developed a coupled surface-subsurface hydrological model (SWMM-MODFLOW) that can simulate fine-temporal scale two-way interactions between green infrastructure and groundwater at catchment scale. This methodology was applied in the urban catchment of Silverdale, Kitsap County, Washington State (USA).…”

Section: Discussionmentioning

confidence: 99%

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

et al. 2021

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Urbanization increases imperviousness and reduces infiltration, retention, and evapotranspiration, frequently aggravating urban flooding due to greater runoff and higher and faster discharge peaks. Effective strategies to mitigate flood risks require a better understanding of the watershed dynamics and space to reverse the negative impacts. However, often cities do not have proper data sets to feed mathematical models that would be helpful in mapping water dynamics. Attempts to reduce flood risks have been made for decades by means of structural interventions but were frequently designed within the logic of a local scale, using limited available spaces and often merely shifting flooding downstream. Therefore, assessing urban floods requires a modeling approach capable of reflecting the watershed scale, considering interactions between hydraulic structures and urban landscape, where best practices and non-structural measures aim to improve community flood resilience through the reduction of social and financial costs in the long run. This paper proposes an integrated approach to analyze low impact development (LID) practices complemented by non-structural measures in a case study in southern Italy, supported by mathematical modeling in a strategy to overcome a context of almost no available data and limited urban open spaces.

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Section: Discussionmentioning

confidence: 99%

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

et al. 2021

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“…Storm Water Management Model (SWMM) developed by the US EPA is an integrated hydraulic and hydrological modelling tool which is broadly used to assess the efficiency of low-impact development measures in urban environments ( Zhang and Chui, 2018 ). SWMM is widely used for the analysis and design of urban drainage systems (e.g., Elliott and Trowsdale, 2007 ; Jayasooriya and Ng, 2014 ; Zhang and Chui, 2020 ). It simulates the rainfall-runoff transformation using a catchment-based lumped approach and the conveyance of stormwater, sewage and pollutants in the drainage network using hydraulics numerical methods.…”

Section: Assessment Framework: Overview Of Modelling Approachesmentioning

confidence: 99%

“…The input data requirements are: (i) a land surface component containing the definition of sub-catchments and their runoff characteristics; (ii) a conveyance system component, which describes pipes, channels, flow regulators, and storage units; (iii) external forcing data (precipitation, temperature, evaporation); (iii) a subsurface groundwater component; (v) contaminant build-up, wash-off, and treatment; and (vi) LID controls to represent combinations of green-grey infrastructure practices. Zhang and Chui (2020) integrated the modified SWMM which is called SWMM-LID-GW, with MODFLOW to form a loosely-coupled surface-subsurface hydrological model (SWMM-MODFLOW) that can evaluate the surface runoff and groundwater table dynamics of NBS (e.g., bioretention cells) of various spatial apportionments at a watershed scale. Based on the simulation results, they concluded that the effectiveness of spatial apportionments of NBS (e.g., bioretention cells) depends on (i) the aggregation level, (ii) the execution ratio, and (iii) the relative location of bioretention cells in the catchment.…”

Section: Assessment Framework: Overview Of Modelling Approachesmentioning

confidence: 99%

“…WRF, another major model for assessing heat relieving NBS, has been broadly utilised to simulate the urban climate. However, WRF suffers from the coarse categorisation of urban canopy parameters, and further upgrades would require considerable effort ( Zhang and Chui, 2020 ).…”

Section: Advantages and Limitations Of Modelling Techniquesmentioning

confidence: 99%

“…Numerous studies have developed and applied numerical models at scattered and urban scale to evaluate the efficiency of specific NBS to manage stormwater/urban flooding (e.g., Elliott and Trowsdale, 2007 ; Jayasooriya et al, 2016 ; Zhang and Chui, 2020 ; Bach et al, 2020 ). While large scale (landscape or catchment) implementation, monitoring and evaluation of NBS are currently scattered, the majority of information is limited to only flooding and heatwaves in the urban context.…”

Section: Recommendation For Future Researchmentioning

confidence: 99%

See 2 more Smart Citations

Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations

Kumar

Debele

Sahani

et al. 2021

Science of The Total Environment

112

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Nature-based solutions (NBS) for hydro-meteorological risks (HMRs) reduction and management are becoming increasingly popular, but challenges such as the lack of well-recognised standard methodologies to evaluate their performance and upscale their implementation remain. We systematically evaluate the current state-of-the art on the models and tools that are utilised for the optimum allocation, design and efficiency evaluation of NBS for five HMRs (flooding, droughts, heatwaves, landslides, and storm surges and coastal erosion). We found that methods to assess the complex issue of NBS efficiency and cost-benefits analysis are still in the development stage and they have only been implemented through the methodologies developed for other purposes such as fluid dynamics models in micro and catchment scale contexts. Of the reviewed numerical models and tools MIKE-SHE, SWMM (for floods), ParFlow-TREES, ACRU, SIMGRO (for droughts), WRF, ENVI-met (for heatwaves), FUNWAVE-TVD, BROOK90 (for landslides), TELEMAC and ADCIRC (for storm surges) are more flexible to evaluate the performance and effectiveness of specific NBS such as wetlands, ponds, trees, parks, grass, green roof/walls, tree roots, vegetations, coral reefs, mangroves, sea grasses, oyster reefs, sea salt marshes, sandy beaches and dunes. We conclude that the models and tools that are capable of assessing the multiple benefits, particularly the performance and cost-effectiveness of NBS for HMR reduction and management are not readily available. Thus, our synthesis of modelling methods can facilitate their selection that can maximise opportunities and refute the current political hesitation of NBS deployment compared with grey solutions for HMR management but also for the provision of a wide range of social and economic co-benefits. However, there is still a need for bespoke modelling tools that can holistically assess the various components of NBS from an HMR reduction and management perspective. Such tools can facilitate impact assessment modelling under different NBS scenarios to build a solid evidence base for upscaling and replicating the implementation of NBS.

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Dealing with shallow groundwater contexts for the modelling of urban hydrology – A simplified approach to represent interactions between surface hydrology, groundwater and underground structures in hydrological models

Pophillat

Sage

Rodríguez

et al. 2021

Environmental Modelling & Software

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Hydrological modelling can be a relevant tool to support sustainable planning decisions. However, urban hydrological models usually rely on simplified underground representation that may limit their applicability in shallow groundwater environments. This paper introduces a set of modules designed to describe the numerous interactions between subsurface processes and surface hydrology that may occur in such contexts. The modules provide a rather straightforward approach to simulate the influence of the groundwater on the surface as well as the influence of several underground structures (sewer systems, building basements, …) on subsurface storage and the volumes to be managed by the sewerage network. The modules are evaluated by comparison with reference models over a set of theoretical test cases and integrated within the URBS hydrological model. An application to a realistic hypothetical watershed is carried out to illustrate the benefits and the feasibility of these focussed development in existing urban hydrological models.

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Assessing the impact of spatial allocation of bioretention cells on shallow groundwater – An integrated surface-subsurface catchment-scale analysis with SWMM-MODFLOW

Cited by 23 publications

References 73 publications

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations

Dealing with shallow groundwater contexts for the modelling of urban hydrology – A simplified approach to represent interactions between surface hydrology, groundwater and underground structures in hydrological models

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