Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale

Yin, Dingkun; Evans, Barry; Wang, Qi; Chen, Zhenxia; Jia, Haifeng; Chen, Albert S.; Fu, Guangtao; Ahmad, Shakeel; Leng, Linyuan

doi:10.1016/j.scitotenv.2020.137630

Cited by 77 publications

(29 citation statements)

References 43 publications

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“…Also, the SWMM has many advantages in solving different types of water-related problems in urban areas, especially in the cases of open channels from the surface and underground pipes are complex as well as a runoff quantity is to be simulated. It is worth mentioning that EPA-SWMM is limited to 1D simulations and is not able to perform analysis of surface flow for a particular area (Yin et al 2020;Koc et al 2021). In this study, the EPA-SWMM version 5.1 (launched in 2015) was utilized.…”

Section: Description Of Epa Swmmmentioning

confidence: 99%

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Ekmekçioğlu

Yılmaz

Özger

et al. 2021

Water Science and Technology

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This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100-years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and the runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10-years return period of a storm event in the combination scenario.

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Section: Description Of Epa Swmmmentioning

confidence: 99%

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Ekmekçioğlu

Yılmaz

Özger

et al. 2021

Water Science and Technology

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“…In the Time-Area method, infiltration is included as runoff loss, and it is not defined separately (Akram et al, 2014;Fariborzi et al, 2019). Both the Kinematic Wave and Linear Reservoir methods apply the Horton infiltration equation to calculate the infiltration (Yin et al, 2020). For UHM, the SCS Curve method is used to estimate the infiltration (Kocsis et al, 2020;Strapazan et al, 2021).…”

Section: Infiltrationmentioning

confidence: 99%

“…Amongst the literature investigated, Guo et al (2008) conducted the first stormwater modeling application study in Beijing with SWMM, and analyzed the different rainfallrunoff characteristics of various rainfall densities. Recently, studies related to improving the accuracy, efficiency, and robustness of hydrological models have been highlighted (Pang et al, 2020;Yin et al, 2020;Tang et al, 2021). Moreover, these stormwater management models are increasingly coupled with other platforms or models to achieve more comprehensive functions or to run simulations at larger spatial scales (Duan and Gao, 2019;Liang et al, 2020;Xu et al, 2021).…”

Section: Social Benefitsmentioning

confidence: 99%

Stormwater Management Modeling in “Sponge City” Construction: Current State and Future Directions

Liu

Cui

Tian

et al. 2022

Front. Environ. Sci.

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In response to urban pluvial flooding and pollution, the Chinese government proposed a “sponge city” policy in 2013 that aims to improve urban stormwater management and promote sustainable urban development. However, at present, sponge city construction is still in its exploratory stage. It is still not clear which models are capable of simulating the six key processes (i.e., “retention,” “infiltration,” “storage,” “purification,” “discharge,” and “utilization”) of sponge city practices. Its various benefits (e.g., social, economic and environmental benefits) have not yet been systematically investigated in the context of the sponge city. In this study, we reviewed and compared 19 urban stormwater management models (including 13 hydrological models and 10 decision-support tools, as there are 4 overlap ones) and investigated their application in China. Firstly, we examined the mechanisms behind the hydrological models and compared the abilities of the models to simulate various processes. Secondly, we analyzed what kinds of benefits can be addressed by these decision support tools (DSTs). Finally, we discussed the applications and limitations of the models in various climate zones in China. The findings suggest that none of the models consider the impact of climate change on the sponge city practices (SCP) and none of DSTs can simulate the negative performance of SCP. Furthermore, the lack of sufficient databases in China limited the applications of many of the models. Additionally, we found that the hydrological processes corresponding to “storage” were given more attention in southern China, and “infiltration” of stormwater was of greater concern in northern China. In the context of sponge city construction, this paper provides suggestions for future model development of urban stormwater management in China, such as the development of a stormwater database and the incorporation of long-term climate change impacts into the model.

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“…These studies resort to multi-criteria decision analysis (MCDA), especially in the form of weighted sum techniques, to aggregate a series of factors expected to contribute to flooding, such as the slope, land cover, or precipitation. Many other investigations couple GIS with different stormwater computer models, such as SWMM (US EPA, Washington, DC, USA) [14,15], HEC-HMS (U.S. Army Corps of Engineers, Washington, DC, USA) [16,17], SWAT (USDA Agricultural Research Service (USDA-ARS) and Texas A&M AgriLife Research, Maryland and Texas, USA) [18,19], or MIKE FLOOD (DHI Group, Inc., New York, NY, USA) [20,21]. These approaches use GIS to produce a variety of types of spatial information that then functions as inputs in the stormwater models, which in turn serve to simulate rainfall-runoff processes.…”

Section: Introductionmentioning

confidence: 99%

ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments

Manchado

Roldán-Valcarce

Jato-Espino

et al. 2021

IJERPH

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Surface runoff determination in urban areas is crucial to facilitate ex ante water planning, especially in the context of climate and land cover changes, which are increasing the frequency of floods, due to a combination of violent storms and increased imperviousness. To this end, the spatial identification of urban areas prone to runoff accumulation is essential, to guarantee effective water management in the future. Under these premises, this work sought to produce a tool for automated determination of urban surface runoff using a geographic information systems (GIS). This tool, which was designed as an ArcGIS add-in called ArcDrain, consists of the discretization of urban areas into subcatchments and the subsequent application of the rational method for runoff depth estimation. The formulation of this method directly depends on land cover type and soil permeability, thereby enabling the identification of areas with a low infiltration capacity. ArcDrain was tested using the city of Santander (northern Spain) as a case study. The results achieved demonstrated the accuracy of the tool for detecting high runoff rates and how the inclusion of mitigation measures in the form of sustainable drainage systems (SuDS) and green infrastructure (GI) can help reduce flood hazards in critical zones.

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Integrated 1D and 2D model for better assessing runoff quantity control of low impact development facilities on community scale

Cited by 77 publications

References 43 publications

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

Stormwater Management Modeling in “Sponge City” Construction: Current State and Future Directions

ArcDrain: A GIS Add-In for Automated Determination of Surface Runoff in Urban Catchments

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