Hydrologic Performance of Bioretention Storm-Water Control Measures

Davis, Allen P.; Traver, Robert G.; Hunt, William F.; Lee, Ryan; Brown, Robert A.; Olszewski, Jennifer M.

doi:10.1061/(asce)he.1943-5584.0000467

Cited by 141 publications

(78 citation statements)

References 1 publication

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“…Systems in the latter category are known as "infiltration-based WSUD systems" and are increasingly used for stormwater management in Australia. Bio-retention cells are widely used to control the runoff peaks and volumes of storm water [24][25][26]. Therefore, bio-retention cells were modelled to minimize the risks of flooding due to increased urbanization.…”

Section: Urbanization Scenarios and Wsud Technologies In Pcswmmmentioning

confidence: 99%

The Use of PCSWMM for Assessing the Impacts of Land Use Changes on Hydrological Responses and Performance of WSUD in Managing the Impacts at Myponga Catchment, South Australia

Akhter

Hewa

2016

Water

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Personal Computer Stormwater Management Model (PCSWMM) was applied to investigate: (1) hydrological responses in the Myponga catchment as a result of land use changes; and (2) the possibility of adopting Water Sensitive Urban Design (WSUD) technologies (bio-retention cells) to manage resulting floods. Calibrated and validated models predicted the measured data with satisfactory accuracy and reliability. Different urbanization scenarios were tested. When the level of urbanization increased from 10% to 70%, mean discharge increased from 45% to 322%. Frequency of flood at 2-year Average Recurrence Interval (ARI) increased from 1 to 44 and frequency of floods at 100-year ARI increased from none to 8. At 70% urbanisation, trialled bio-retention facilities used as WSUD measures almost completely ameliorated 2-year ARI floods by reducing the frequency of such events from 44 to 2. Floods at smaller ARIs (2, 5, 10 and 20 years) were effectively managed by WSUD measures while floods at 50-and 100-year ARIs remained unchanged. The overall results improve understanding of the severity of the impacts of land use changes on the hydrology of a catchment and the ability of bio-retention cells to alleviate the risk of small to medium floods in the Myponga catchment.

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Section: Urbanization Scenarios and Wsud Technologies In Pcswmmmentioning

confidence: 99%

The Use of PCSWMM for Assessing the Impacts of Land Use Changes on Hydrological Responses and Performance of WSUD in Managing the Impacts at Myponga Catchment, South Australia

Akhter

Hewa

2016

Water

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“…In addition, they demonstrated that bioretention exhibits excellent hydrological performance for small rain events, but its performance deteriorates under more extreme precipitation events. Davis et al [14] defined the bioretention abstraction volume (BAV) as the storage volume for a bioretention cell that will fill before underdrain or overflow discharge occurs.…”

Section: Bio-swale Column Experiments and Simulation Of Hydrologic Immentioning

confidence: 99%

Bio-Swale Column Experiments and Simulation of Hydrologic Impacts on Urban Road Stormwater Runoff

2016

Pol. J. Environ. Stud.

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The acceleration of urbanization has resulted in the increase of urban surface runoff. Bio-swale is a promising stormwater control measure that has been proven to be hydrologically effective on urban surface runoff. Column studies were conducted to determine the optimal bio-swale composition. Results demonstrated that water reduction was proportional to inflow decrease. Columns that planted border privet and Ophiopogon japonicus showed a larger water quantity reduction compared with that of planted boxwood and ryegrass, glossy privet and Chlorophytum comosum 'Variegatum' in vegetation tests, which was the same as the order of measured transpiration capacity of the plants. Water reduction rate increases dramatically with decreasing planting soil thickness. By contrast, no significant change occurs once the thickness of the artificial filler layer is altered. The bio-swale column with a high-infiltration rate artificial filler produced a good hydrological control effect. Sand was found to be the optimal media among the selected media compositions. Although the inclusion of an additional ponding depth affected total water reduction, it produced a stable outflow. SPSS software was used to assess the relationship between water reduction rate and its influence. On the one hand, water reduction rate increased linearly with increasing water inflow, soil thickness, and ponding depth. On the other, water reduction rate grew linearly with increasing plant factor and artificial filler infiltration rate. The multiple linear regression model revealing the relationship between the water reduction effect, and its influencing factors were obtained via the stepwise regression method in the SPSS software.

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“…These values were then used as input in Model 2. The resultant V o , determined from the model output, were used to calculate ΔV using Equation (1). The results are plotted in Figure 6 below.…”

Section: Model Applicationmentioning

confidence: 99%

“…These areas are characterized by a higher fraction of impervious surfaces as compared to natural, undeveloped areas. An increase in impervious surfaces, such as roofs, roads and parking lots can lead to higher runoff volumes with higher flow rates, lower evapotranspiration and lower infiltration [1]. This can increase the risk of flooding in downstream waterways and contribute to the degradation of water quality; in fact urban stormwater runoff is considered to be a leading cause of degradation of surface waters [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Experiments on both the field and laboratory scale have shown that the cells can capture 100% of influent volumes from small to medium size events, and between 33%-80% for larger events [5,[10][11][12]. The large variability in performance in these studies can be attributed to the fact that current design guidelines are highly empirical and are not optimized for region specific differences in geological characteristics and climatic conditions [1]. Thus bioretention cells may not perform with the same efficacy as intended if implemented without considerations for regional differences.…”

Section: Introductionmentioning

confidence: 99%

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A Data Driven Approach to Bioretention Cell Performance: Prediction and Design

Khan

Valeo

Chu

et al. 2013

Water

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Bioretention cells are an urban stormwater management technology used to address both water quality and quantity concerns. A lack of region-specific design guidelines has limited the widespread implementation of bioretention cells, particularly in cold climates. In this paper, experimental data are used to construct a multiple linear regression model to predict hydrological performance of bioretention cells. Nine different observed parameters are considered as candidates for regressors, of which inlet runoff volume and duration, and initial soil moisture were chosen. These three variables are used to construct six different regression models, which are tested against the observations. Statistical analysis showed that the amount of runoff captured by a bioretention cell can be successfully predicted by the inlet runoff volume and event duration. Historical data is then used to calculate runoff volume for a given duration, in different catchment types. This data is used in the regression model to predict bioretention cell performance. The results are then used to create a design tool which can assist in estimating bioretention cell size to meet different performance goals in southern Alberta. Examples on the functionality of the design tool are provided.

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Hydrologic Performance of Bioretention Storm-Water Control Measures

Cited by 141 publications

References 1 publication

The Use of PCSWMM for Assessing the Impacts of Land Use Changes on Hydrological Responses and Performance of WSUD in Managing the Impacts at Myponga Catchment, South Australia

The Use of PCSWMM for Assessing the Impacts of Land Use Changes on Hydrological Responses and Performance of WSUD in Managing the Impacts at Myponga Catchment, South Australia

Bio-Swale Column Experiments and Simulation of Hydrologic Impacts on Urban Road Stormwater Runoff

A Data Driven Approach to Bioretention Cell Performance: Prediction and Design

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