scholarly journals Program Development for Detention Pond Sizing Based on Excel Using SWMM Engine

2020 ◽  
Vol 20 (2) ◽  
pp. 229-238 ◽  
Author(s):  
Yonggil Jeong ◽  
Taeuk Kang
Keyword(s):  
Program Development ◽  
Stormwater Management ◽  
Design Method ◽  
Low Impact Development ◽  
Rational Method ◽  
Management Model ◽  
Stormwater Management Model ◽  
Flood Hydrograph ◽  
Detention Pond ◽  
Actual Design

In this study, we developed a program for detention pond sizing based on Excel in order to improve user convenience. The program includes a function for the derivation of flood hydrograph that was embodied by using the rational method hydrograph for connecting the design of the stormwater pipe. The design method of a permeable detention pond that is a kind of low impact development (LID) technique was also implemented. In addition, the operation of the program was found to be stable, and various discharge structures such as weir, pump, and pipe could be easily conducted using the engine of the stormwater management model (SWMM). The developed detention pond sizing program was applied to the actual design. Subsequently, similar results were derived by comparing with the actual design, and it was found that the program was appropriate.

Physical design optimization of an urban runoff treatment system using Stormwater Management Model (SWMM)

2015 ◽  
Vol 72 (10) ◽  
pp. 1747-1753 ◽  
Author(s):  
J. A. S. Tobio ◽  
M. C. Maniquiz-Redillas ◽  
L. H. Kim
Keyword(s):  
Stormwater Management ◽  
Pearson Correlation ◽  
Low Impact Development ◽  
Stormwater Runoff ◽  
Physical Design ◽  
Management Model ◽  
Storm Events ◽  
Original Design ◽  
Stormwater Management Model ◽  
Highly Correlated

The study presented the application of Stormwater Management Model (SWMM) in determining the optimal physical design properties of an established low impact development (LID) system treating road runoff. The calibration of the model was based on monitored storm events occurring from May 2010 to July 2013. It was found that the total suspended solids was highly correlated with stormwater runoff volume and dominant heavy metal constituents in stormwater runoff, such lead, zinc and copper, with a Pearson correlation coefficient ranging from 0.88 to 0.95 (P < 0.05). Reducing the original ratio of the storage volume to surface area (SV/SA) of the facility and depth by 25% could match the satisfactory performance efficiency achieved in the original design. The smaller SV/SA and depth would mean a less costly system, signifying the importance of optimization in designing LID systems.

scholarly journals Robust Vegetation Parameterization for Green Roofs in the EPA Stormwater Management Model (SWMM)

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 12
Author(s):  
Ronja Iffland ◽  
Kristian Förster ◽  
Daniel Westerholt ◽  
María Herminia Pesci ◽  
Gilbert Lösken
Keyword(s):  
Stormwater Management ◽  
Low Impact Development ◽  
Green Roof ◽  
Green Roofs ◽  
Management Model ◽  
Model Parameters ◽  
Vegetation Feedback ◽  
Stormwater Management Model ◽  
The Impact ◽  
Monteith Equation

In increasingly expanding cities, roofs are still largely unused areas to counteract the negative impacts of urbanization on the water balance and to reduce flooding. To estimate the effect of green roofs as a sustainable low impact development (LID) technique on the building scale, different approaches to predict the runoff are carried out. In hydrological modelling, representing vegetation feedback on evapotranspiration (ET) is still considered challenging. In this research article, the focus is on improving the representation of the coupled soil–vegetation system of green roofs. Relevant data to calibrate and validate model representations were obtained from an existing field campaign comprising several green roof test plots with different characteristics. A coupled model, utilizing both the Penman–Monteith equation to estimate ET and the software EPA stormwater management model (SWMM) to calculate the runoff, was set up. Through the application of an automatic calibration procedure, we demonstrate that this coupled modelling approach (Kling–Gupta efficiency KGE = 0.88) outperforms the standard ET representation in EPA SWMM (KGE = −0.35), whilst providing a consistent and robust parameter set across all green roof configurations. Moreover, through a global sensitivity analysis, the impact of changes in model parameters was quantified in order to aid modelers in simplifying their parameterization of EPA SWMM. Finally, an improved model using the Penman–Monteith equation and various recommendations are presented.

scholarly journals The model of low impact development of a sponge airport: a case study of Beijing Daxing International Airport

2020 ◽  
Author(s):  
Jing Peng ◽  
Jiayi Ouyang ◽  
Lei Yu
Keyword(s):  
Water Depth ◽  
Stormwater Management ◽  
Storage Tank ◽  
Comprehensive Evaluation ◽  
Low Impact Development ◽  
Management Model ◽  
Storm Water Management Model ◽  
International Airport ◽  
Removal Capacity

Abstract A sponge airport is a new concept of airport stormwater management, which can effectively relieve airport flooding and promote the usage of rainwater resources, often including the application of low impact development (LID) facilities. Although many airports in China have been chosen to implement sponge airport construction, there is a lack of quantitative evaluation on the effect of LID facilities. This paper takes Beijing Daxing International Airport as a case study and develops a comprehensive evaluation on the effect of LID facilities using the storm water management model (SWMM). The performance of four LID design scenarios with different locations and sizes of the rain barrel, the vegetative swale, the green roof, and the storage tank were analyzed. After LID, the water depth of J7 reduces from 0.6 m to 0.2 m, and duration of accumulated water reduces from 5 hours to 2.5 hours. The water depth of J17 reduces from 0.5 m to 0.1 m, and duration of accumulated water reduces from 2 hours to 15 minutes. The capacity of conduits has been greatly improved (Link 7 and Link 17). The application of LID facilities greatly improves rainwater removal capacity and effectively alleviates the waterlogging risk in the study area.

scholarly journals Stormwater quality modeling in urbanized areas

2018 ◽  
Vol 45 ◽  
pp. 00104 ◽  
Author(s):  
Marek Zawilski ◽  
Błażej Dziedziela
Keyword(s):  
Stormwater Management ◽  
Management Model ◽  
Model Parameters ◽  
Stormwater Quality ◽  
Quality Modeling ◽  
Stormwater Management Model ◽  
Storm Drainage ◽  
Urban Catchments ◽  
Urbanized Areas ◽  
Quality Indexes

Stormwater quality modeling with the use of Stormwater Management Model (SWMM) is presented. The model has been calibrated on the basis of measurements of flow and stormwater quality performed on a real catchment in Łódź, Poland. Calibrated model parameters and the correlations between the quality indexes are given. This will allow application of the model to other urban catchments equipped with storm drainage systems.

scholarly journals Calibration of stormwater management model using flood extent data

2014 ◽  
Vol 167 (1) ◽  
pp. 17-29 ◽  
Author(s):  
Byunhyun Kim ◽  
Brett F. Sanders ◽  
Kunyeun Han ◽  
Youngjoo Kim ◽  
James S. Famiglietti
Keyword(s):  
Stormwater Management ◽  
Management Model ◽  
Stormwater Management Model
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