Application of SWMM 5.1 in flood simulation of sponge airport facilities

Abstract

Construction of an airport runway makes the impervious area of the airport high, which leads to the deterioration of the water environment and frequent waterlogging disasters. The selection of sponge airport facilities (e.g., pump, multi-functional storage tanks, green roof) to mitigate airport flooding has been a crucial issue in China. This study aims to develop a conceptual rainwater-runoff simulation model, which can take into account the effects of such facilities of a sponge airport. Taking catchment N1 of Beijing Daxing Airport as a case study, SWMM 5.1 was implemented to develop three sponge airport models (one pump, two pumps, combination of pump and multi-functional storage tanks). A sensitivity analysis was carried out to guarantee the robustness of the developed models. A 1-hour rainfall scenario with a 5-year return period was employed on the three sponge airport models. The results showed that the effect rankings of the control strategies on the water depth, volume and peak inflow of catchment N1 were comparable – combined strategies (combination of pump and multi-functional storage tanks) > one pump and two pumps. The conceptual and hydrological models developed in this study can serve as a simulation tool for implementing a real-time rainwater drainage control system in Beijing Daxing Airport.

Parameter Optimization of SWMM Model Using Integrated Morris and GLUE Methods

“…Even though it will increase part of the parameter optimization workload (e.g., Zi), the overall benefits still outweigh the disadvantages. For this reason, the Morris screening method only considers the screening results under a single perturbation approach, increasing the uncertainty in parameter selection [51][52][53][54]. In addition, wider parameter optimization intervals tend to expand the scope of algorithm search during optimization, leading to more significant model simulation errors and reducing algorithm search efficiency.…”

Smart management of combined sewer overflows: From an ancient technology to artificial intelligence

“…SWMM was used in several studies for runoff and hydrological modeling (Knighton & Walter, 2016; Niemi et al, 2017; Ouyang et al, 2012; Ress et al, 2020; Samouei & Özger, 2020). Runoff simulation is important for CSO management (Field & Cibik, 1980), flood management (Ouyang et al, 2012; Rabori & Ghazavi, 2018), impact of climate change on urban drainage systems (Kovacs & Clement, 2009), sponge city (Jia et al, 2018) and sponge airport (J. Peng, Yu, et al, 2020) applications, and low‐impact development (LID) applications (Chui et al, 2016).…”

Spatiotemporal modeling of water inrush spreading in mine roadway networks

“…A sensitivity analysis was thus carried out to assess the impact that these parameters have on controlling the dynamic process of water inrush in mine roadway networks. The modified Morris screening method (Xu et al 2019;Peng et al 2020) was used to calculate the sensitivity of the various parameters. The Morris screening method belongs to the local sensitivity analysis method, in which only one input parameter is modified between two successive runs of the model (Francos et al 2003).…”

“…Sensitivity analysis can quantitatively evaluate the influence of each parameter on the simulation results to improve the efficiency of model parameter identification. In previous studies, sensitivity analysis was applied to karst conduits (Peterson & Wicks 2006) and drainage pipes (Peng et al 2020) to evaluate the sensitivity of the conduit geometric or hydraulic parameters. However, little research has been conducted to analyze the sensitivity of roadway geometry and hydraulic parameters in mine water inrush events.…”