Convertible Operation Techniques for Pump Stations Sharing Centralized Reservoirs for Improving Resilience in Urban Drainage Systems

Frequent localized torrential rains, excessive population density in urban areas, and increased impervious areas have led to massive flood damage that has been causing overloading of drainage systems (watersheds, reservoirs, drainage pump sites, etc.). Flood concerns are raised around the world in the events of rain. Flood forecasting, a typical nonstructural measure, was developed to help prevent repetitive flood damage. However, it is difficult to apply flood prediction techniques using training processes because training needs to be applied at every usage. Other techniques that use predicted rainfall data are also not appropriate for small watershed, such as single drainage area. Thus, in this paper, a flood prediction method is proposed by improving four criteria (50% water level, 70% water level, 100% water level, and first flooding of water pipes) in an attempt to reduce flooding in urban areas. The four criteria nodes are generated using a rainfall runoff simulation with synthetic rainfall at various durations. When applying real-time rainfall data, these nodes have the advantage of simple application. The improved flood nomograph made in this way is expected to help predict and prepare for rainstorms that can potentially cause flood damage.

Section: Synthetic Rainfall Data For Improved Flood Nomographmentioning

confidence: 99%

A Study on the Improvement of Flood Forecasting Techniques in Urban Areas by Considering Rainfall Intensity and Duration

Choo

Yun

et al. 2019

“…Second, the cumulative distribution is converted to the dispersed distribution. Third, the amount of rainfall is applied to the dispersed distribution, and the synthetic rainfall event is obtained [16][17][18][19][20]. The type of regression equations for the Huff distribution is cumulative distribution.…”

Section: Generation Of Synthetic Rainfall Datamentioning

confidence: 99%

“…Selection of the first flooding node in urban drainage systems was used to select the monitoring node for the operation of drainage facilities, such as centralized and decentralized reservoirs in previous studies [16][17][18]20]. The decentralized reservoir upstream of the drainage network reserves the inflow from the drainage network if the water level of the monitoring node is high, and discharges inflow if the water level of the monitoring node is low.…”

Section: Selection Of the First Flooding Node For The Flood Nomographmentioning

confidence: 99%

See 1 more Smart Citation

Application of Flood Nomograph for Flood Forecasting in Urban Areas

Lee

Kim

Choo

et al. 2018

Self Cite

Imperviousness has increased due to urbanization, as has the frequency of extreme rainfall events by climate change. Various countermeasures, such as structural and nonstructural measures, are required to prepare for these effects. Flood forecasting is a representative nonstructural measure. Flood forecasting techniques have been developed for the prevention of repetitive flood damage in urban areas. It is difficult to apply some flood forecasting techniques using training processes because training needs to be applied at every usage. The other flood forecasting techniques that use rainfall data predicted by radar are not appropriate for small areas, such as single drainage basins. In this study, a new flood forecasting technique is suggested to reduce flood damage in urban areas. The flood nomograph consists of the first flooding nodes in rainfall runoff simulations with synthetic rainfall data at each duration. When selecting the first flooding node, the initial amount of synthetic rainfall is 1 mm, which increases in 1 mm increments until flooding occurs. The advantage of this flood forecasting technique is its simple application using real-time rainfall data. This technique can be used to prepare a preemptive response in the process of urban flood management.

“…Therefore, many scholars are committed to flood control by optimizing the operation of pumps. A new technique was created to operate multiple pump stations for reducing urban flood is proposed [5]. A forecasting model was used to predict trends in precipitation and the operation of rainwater pump stations was predicted [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO

Wang

Lei

Khu

et al. 2019

The pumps in multistage drainage pumping stations are often subject to frequent start-up and shutoffs during operation because of unreasonable start-up depths of the pumps; this will reduce the service lives of the pumps. To solve this problem, an optimization method for minimizing pump start-up and shutoff times is proposed. In this method, the operation of pumps in pumping station was optimized by constructing a mathematical optimization model. The storm water management model (SWMM) and particle swarm optimization (PSO) method were used to solve the problem and the optimal start-up depth of each pump is obtained. Nine pumping stations in Beijing were selected as a case study and this method was applied for multistage pumping station optimization and single pumping station optimization in the case study. Results from the case study demonstrate that the multistage pumping station optimization acquired a small number of pump start-up/shutoff times, which were from 8 to 114 in different rainfall scenarios. Compared with the multistage pumping station optimization, the single pumping station optimization had a bigger number of pump start-up/shutoff times, which were from 1 to 133 times, and the pump operating time was also longer, from 72 min to 7542 min. Therefore, the multistage pumping station optimization method was more suitable to reduce the frequency of pump start-up/shutoffs.