EPA Storm Water Management Model, SWMM5

Huber, Wayne C.

doi:10.1201/9781420037432.ch14

Cited by 89 publications

(87 citation statements)

References 1 publication

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“…There are only few models in the market for stormwater runoff calculation that can benefit landscaping design. The most advanced tool is EPA's Storm Water Management Model (SWMM) (Huber et al, 2005). It is a rainfall-runoff simulation model that predicts runoff quantity and quality from primarily urban areas.…”

Section: Introductionmentioning

confidence: 99%

Integrated design workflow and a new tool for urban rainwater management

Chen

Samuelson

Tong

2016

Journal of Environmental Management

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For stormwater management, Low Impact Development (LID) practices provide more sustainable solutions than traditional piping and storm ponds. However, to be effective, LID practices must be integrated into planning at the beginning of the design process; yet architects and related design professionals making decisions early in the design process are not equipped to consider runoff calculations given their current tools. In response to this dilemma, we have developed an open source stormwater runoff evaluation and management tool: Rainwater+. It is seamlessly integrated into computer-aided design (CAD) software to receive instant estimate on the stormwater runoff volume of architecture and landscape designs. Designers can thereby develop appropriate rainwater management strategies for the project-based on local precipitation data, specific standards, site conditions and economic considerations. We employed Rainwater+ to conduct two case studies illustrating the importance of considering storm water runoff in the early design stage. The first case study showed the importance of integrating rainwater management into design modeling software for the reason that the specific site condition is critical for determining LID practice. The second case study demonstrated the need of visualizing runoff flow direction in assisting the placement of LID practices at proper locations when the terrain is of great complexity.

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Section: Introductionmentioning

confidence: 99%

Integrated design workflow and a new tool for urban rainwater management

Chen

Samuelson

Tong

2016

Journal of Environmental Management

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“…Pollutant wash-off is simulated using the modified exponential model of SWMM [22], which considers the non-linear relation between the wash-off load and the runoff rate. This relation is taken into account by introducing the wash-off exponent C2, which was initially set to be equal to one in the original SWMM version suggesting a linear dependency of the washed off fraction on the runoff rate.…”

Section: Process Description Empiricalmentioning

confidence: 99%

“…Conceptual build-up models are usually formulated as a function of antecedent dry weather period and are represented either by linear, power, exponential or the Michaelis-Menton equations [17,[21][22][23]. As for wash-off, it is mathematically modeled as an exponential decrease of initial available pollutant mass on the surface, function of rainfall intensity, runoff volume or runoff rate [22]. Recent studies shows that these models can successfully replicate pollutant loads [24][25][26] but not the temporal variability of pollutant concentrations [13,19,27].…”

Section: Introductionmentioning

confidence: 99%

“…These reasons among others orient more toward the application of conceptual approaches. Conceptual build-up models are usually formulated as a function of antecedent dry weather period and are represented either by linear, power, exponential or the Michaelis-Menton equations [17,[21][22][23]. As for wash-off, it is mathematically modeled as an exponential decrease of initial available pollutant mass on the surface, function of rainfall intensity, runoff volume or runoff rate [22].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Performance and the Predictive Capacity of Build-Up and Wash-Off Models on Different Temporal Scales

Ali

Bonhomme

Chebbo

2016

Water

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Stormwater quality modeling has arisen as a promising tool to develop mitigation strategies. The aim of this paper is to assess the build-up and wash-off processes and investigate the capacity of several water quality models to accurately simulate and predict the temporal variability of suspended solids concentrations in runoff, based on a long-term data set. A Markov Chain Monte-Carlo (MCMC) technique is applied to calibrate the models and analyze the parameter's uncertainty. The short-term predictive capacity of the models is assessed based on inter-and intra-event approaches. Results suggest that the performance of the wash-off model is related to the dynamic of pollutant transport where the best fit is recorded for first flush events. Assessment of SWMM (Storm Water Management Model) exponential build-up model reveals that better performance is obtained on short periods and that build-up models relying only on the antecedent dry weather period as an explanatory variable, cannot predict satisfactorily the accumulated mass on the surface. The predictive inter-event capacity of SWMM exponential model proves its inability to predict the pollutograph while the intra-event approach based on data assimilation proves its efficiency for first flush events only. This method is very interesting for management practices because of its simplicity and easy implementation.

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“…(Huber, 1988). SWMM은 강우자료, 기상자료, 소유역 자료, 하수 관로자료를 입력하여 도시 유역 시스템 내 유량과 수질을 모의하며 세계적으로 가장 널리 사용되는 도 시유역모델이다 (Rossman, 2010 (Huber, 1988). …”

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Effect of Wind Speed on Rainfall-Runoff Analysis

Sim

Chung²,

Jo³

et al. 2014

Journal of Korean Society of Hazard Mitigation

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Rainfall data is measured by rain gauge and the effects of wind speed on the data have not been considered when the data is distributed. The calculated runoff using there rainfall data could be underestimated or overestimated. In this study, therefore, the rainfall data was calibrated using the wind speed, and the runoff was analayzed in the Geum Cheon catchment which has impervious area more than 90% of the catchment. SWMM model was used to calculate the runoff. Runoff characteristics were analyzed in dry, wet, and entire period. In wet period, the peak discharge has increased about 1.3 times than the runoff in dry period. The amount of total discharge in wet period has increased upto 1.3 times as well. The amount of rainfall and runoff has increased as the wind speed increase. Therefore, when stormwater pipes are designed, the wind speed should be considered to avoid underestimated runoff calculation which could cause urban flood.

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EPA Storm Water Management Model, SWMM5

Cited by 89 publications

References 1 publication

Integrated design workflow and a new tool for urban rainwater management

Integrated design workflow and a new tool for urban rainwater management

Evaluation of the Performance and the Predictive Capacity of Build-Up and Wash-Off Models on Different Temporal Scales

Effect of Wind Speed on Rainfall-Runoff Analysis

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