Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Lyu, Heng; Ni, Guangheng; Cao, Xiaoyuan; Ma, Yixin

doi:10.3390/w10070880

Cited by 22 publications

(14 citation statements)

References 37 publications

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“…The two river outlets (Figure 2b) located at the Hongwanchong and Qianshan River and two typical pipes (Figure 2a) in the study area were selected. The simulation results of the scalar flowrate time series (Figure 6) at the two basin outlets showed that the model had a high stability, and the flow processes of the two outlets were consistent with other similar studies [45,46]. The typical pipe discharge was also evaluated (Figure 7).…”

Section: Model Rationality Verificationsupporting

confidence: 84%

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Shao

Liu

et al. 2021

Remote Sensing

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In the context of climate change and rapid urbanization, flood disaster loss caused by extreme rainstorm events is becoming more and more serious. An accurate assessment of flood disaster loss has become a key issue. In this study, extreme rainstorm scenarios with 50- and 100-year return periods based on the Chicago rain pattern were designed. The dynamic change process of flood disaster loss was obtained by using a 1D–2D coupled model, Hazard Rating (HR) method, machine learning, and ArcPy script. The results show that under extreme rainstorm events, the direct economic loss and affected population account for about 3% of the total GDP and 16% of the total population, respectively, and built-up land is the main disaster area. In addition, the initial time and the peak time of flood disaster loss increases with an increasing flood hazard degree and decreases with the increase in the return period. The total loss increases with the increase in the return period, and the unit loss decreases with the increase in the return period. Compared with a static assessment, a dynamic assessment can better reveal the development law of flood disaster loss, which has great significance for flood risk management and the mitigation of flood disaster loss.

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Section: Model Rationality Verificationsupporting

confidence: 84%

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Shao

Liu

et al. 2021

Remote Sensing

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“…To represent the high heterogeneity of urban catchments, a grid-based distributed urban hydrological model named REDUS (routing-enhanced detailed urban stormwater model) was developed (Lyu et al, 2018). Taking advantage of the urban hydrological model (Pan et al, 2011) and the multilevel urban flooding model (Li et al, 2016), REDUS uses a four-layer structure, including surfaces, road networks, pipe networks, and river networks.…”

Section: Model Setupmentioning

confidence: 99%

Spatial Scale Effect of Surface Routing and Its Parameter Upscaling for Urban Flood Simulation Using a Grid‐Based Model

Cao

Lyu

et al. 2020

Water Resources Research

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Urban catchments are characterized by a wide variety of complex juxtapositions and surface compositions that are linked to multiple overland flow paths. Their extremely high spatial heterogeneity leads to great sensitivity of hydrologic simulation to the scale variation of calculation units. Although extensive efforts have been made for investigating the scale effects and indicate its significance, less is understood of how routing features vary with spatial scales and further how the variation of routing features influences the hydrological response. In this paper, a grid‐based distributed urban hydrological model is applied to study spatial scale effects ranging from 10 to 250 m. Two parameters are proposed to quantitatively depict the routing features of overland flow specified for impervious and pervious areas. The results show that routing features are quite sensitive to spatial resolution. Large differences among simulations exist in the infiltration amounts attributed to the combined effects of the two routing parameters, which leads to opposite effects for both total flow volume and peak flow for various rainfall events. The relationship of the key model parameters at different spatial resolutions can be explicitly expressed by corresponding routing features. With this relationship, parameters transfer among different spatial scales can be realized to obtain consistent simulation results. This study further revealed the quantitative relationship between spatial scales, routing features, and the hydrologic processes and enabled accurate and efficient simulations required by real‐time flooding forecasting and land‐atmosphere coupling, while fully taking the advantages of detailed surface information.

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“…Variations of the rainfall spatiotemporal resolutions can affect the rainfall-runoff response time and water yield in the hydrological model [ 11 ]. Therefore, it is important to simulate the hydrological response with an appropriate spatiotemporal resolution of rainfall [ 12 , 13 ]. A large number of studies have proved that for small urban catchments, urban flood simulation should use the rainfall data on at least 1–15 min time resolution and 100–1000 m spatial resolution [ 14 – 16 ].…”

Section: Introductionmentioning

confidence: 99%

The Compound Effect of Spatial and Temporal Resolutions on the Accuracy of Urban Flood Simulation

Wang

Zhou

et al. 2022

Computational Intelligence and Neuroscience

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Flood disaster is one of the critical threats to cities. With the intellectualization tendency of Industry 4.0, refined urban flood models can effectively reproduce flood inundation scenarios and support the decision-making on the response to the flood. However, the spatiotemporal variability of rainfall and the spatial heterogeneity of the surface greatly increase the uncertainties in urban flood simulations. Therefore, it is crucial to account for spatiotemporal variability of rainfall events and grids of the model as accurately as possible to avoid misleading simulation results. This study aims to investigate the effect of temporal resolutions of rainfall and spatial resolutions of the model on urban flood modeling in small urban catchments and to explore a proper combination of spatiotemporal schemes. The IFMS Urban (integrated flood modeling system, urban) is used to construct a one-dimension and two-dimension coupled urban flood model in the typical inundated area in Dongguan, China. Based on five temporal resolutions of rainfall input and four spatial resolutions, the compound effect of spatiotemporal resolutions on the accuracy of urban flood simulations is systematically analyzed, and the variation characteristics are investigated. The results show that the finer the temporal resolution is, the higher the simulation accuracy of the maximum inundated water depth. Considering the spatial resolution, as the spatial grid becomes smaller, the relative error of the maximum inundated water depth decreases, but it also shows some nonlinear characteristics. Therefore, the smaller grid does not always mean a better simulation. The spatial resolution has a greater impact on the flood simulation accuracy than the temporal resolution. The simulation performance reaches the best when the grid interval is 100 m and the rainfall input interval is 5 min, 10 min, or 15 min. Affected by other factors such as terrain slope, the simulation accuracies under different spatiotemporal resolutions present complex nonlinear characteristics. The mechanisms of the compound effect of the spatiotemporal resolutions on the model simulation and the effect of underlying surface and topography on model simulation will be the focus of in-depth exploration for the future urban flood model.

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Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Cited by 22 publications

References 37 publications

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Dynamic Assessment of the Impact of Flood Disaster on Economy and Population under Extreme Rainstorm Events

Spatial Scale Effect of Surface Routing and Its Parameter Upscaling for Urban Flood Simulation Using a Grid‐Based Model

The Compound Effect of Spatial and Temporal Resolutions on the Accuracy of Urban Flood Simulation

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