Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment

Zhou, Zhengmo; Li, Qiongfang; He, Pengfei; Du, Yao; Zou, Zhenhua; Xu, Shixiao; Han, Xingye; Zeng, Tianshan

doi:10.1016/j.jhydrol.2023.129841

Cited by 12 publications

(4 citation statements)

References 38 publications

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“…Analysis of peak lag time of the inundation volume and inundation area with different rainfall peak coe cients By comparing the peak delay time of the inundation volume and the inundation area for different return periods and rainfall peak coe cients (Table 5), it is found that both the peak values of the inundation volume and the inundation area have a certain lag time relative to the peak value of rainfall. The effect of the rainfall peak coe cient on the peak lag time of the inundation volume and the inundation area is more signi cant, and when the rainfall peak coe cient is small, the higher the return period, the longer the peak lag time of the inundation volume, which is consistent with the ndings of Zhou et al(2023) who studied the effects of rainstorm characteristics and inundation variables. For r = 0.2 and P = 50a, the peak lag time of inundation volume was maximized at 32 min and 45 min for the inundation depths H > 0.03m and 0.15m, respectively.…”

Section: Temporal Impact Analysis Of Waterlogging Processes With Diff...supporting

confidence: 85%

“…It is assumed that the steady in ltration rate reaches point 1, and since the steady in ltration value of point 1 is larger than that of point 2, point 1 reaches equilibrium at t = t 1 , and the total surface water volume after t = t 1 begins to decrease. At this time, t 1 < t 2 , so the increase of steady in ltration rate will lead to peak lag time of the inundation volume and the inundation area ahead of time, this is similar to the ndings of Zhou et al(2023) after the deployment of LID facilities. Concerning sponge city measures that utilize the principle of soil in ltration for impervious surface rainwater control, attention needs to be focused on its impact on the peak time of the waterlogged.…”

Section: Response Curves Of the Peak Lag Time Of The Inundation Volum...mentioning

confidence: 55%

“…Lai et al(2023) discussed the difference in inundation range and inundation depth under different rainstorm patterns and concentration degrees, and found that the total amount of over ow in the late peak type is larger when the return period is less than 20a, while the total amount of over ow in the middle peak type is larger when the return period is greater than 20a. Zhou et al(2023) found that an increase in the rainfall return period can advance the onset of inundation and delay the occurrence of ood peaks. Meanwhile, the impact of urban inundation depends greatly on the location of the peak of the rainstorm.…”

Section: Introductionmentioning

confidence: 99%

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Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Jiang,

Li,

et al. 2024

Environ Sci Pollut Res

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The rapid development of the city leads to the continuous updating of the ratio of land use allocation, especially during the ood season, which will exacerbate the signi cant changes in the spatial and temporal patterns of urban ooding, increasing the di culty of urban ood forecasting and early warning. In this study, the spatial and temporal evolution of ooding in a high-density urban area was analyzed based on the Mike Flood model, and the in uence mechanisms of different rainfall peak locations and in ltration rate scenarios on the spatial and temporal characteristics of urban waterlogging were explored. The results revealed that under the same return period, the larger the rainfall peak coe cient, the larger the peak value of inundation volume and inundation area. When the rainfall peak coe cient is small, the higher the return period is, and the larger the peak lag time of the inundation volume is, in which P = 50a, r = 0.2, the delay time of the inundation volume for the inundation depths H > 0.03 m and H > 0.15 m reached 32 min and 45 min, respectively, At the same time, there are also signi cant differences in the peak lag time of waterlogging inundation volume in different inundation depths. The greater the inundation depth, the longer the peak lag time of waterlogging inundation volume, and the higher the return period, the more signi cant the effect of lag time prolongation. It is worth noting that the increase in in ltration rate will lead to the advance of the peak time of inundation volume and inundation area, and the peak time of the inundation area is overall more obvious than that of inundation volume. The peak times of inundation volume and inundation area were advanced by 4 ~ 8 min and − 2 ~ 9 min for H > 0.03 m and H > 0.15 m, respectively, after the increase in in ltration rate; and the higher the return period, the smaller the rainfall peak coe cient and the longer the advance time. The spatial and temporal characteristics of waterlogging under different peak rainfall locations and in ltration capacities obtained in this study can help provide a new perspective for temporal forecasting and warning of urban waterlogging.

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Section: Temporal Impact Analysis Of Waterlogging Processes With Diff...supporting

confidence: 85%

Section: Response Curves Of the Peak Lag Time Of The Inundation Volum...mentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Jiang,

Li,

et al. 2024

Environ Sci Pollut Res

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“…Therefore, if each catchment area meets the storage requirements of the over ow volume of the stormwater wells within its own boundaries, stormwater well over ow and node ponding can be effectively addressed. Low-impact development (LID; Zhou et al2023) facilities are commonly used to reduce stormwater ow(Gao et al 2018) on-site, thereby improving waterlogging during different rainfall recurrence periods.The above 13 sub-catchment areas adopt the sunken green spaces in the LID(Zhou et al 2023) to regulate and store rainfall, and the total storage volume is 26,577m3 . The sinking depth of the sunken greenspace was set to be 0.2 m, the scale of the sunken greenspace facilities(Chan et al 2018) in each sub-catchment is shown in Table15.…”

mentioning

confidence: 99%

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

Wan,

Li,

Zhang

et al. 2023

Preprint

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Quantitative simulation of urban waterlogging using computer models is an effective technical means for urban stormwater management, especially for predicting and preventing waterlogging. In this study, a city in northern Anhui Plain, China, was selected as the study site. The Storm Water Management Model was applied to simulate the dynamic changes in the pipeline overload, node overflow, and discharge port runoff characteristics from three perspectives: surface runoff, pipe network transmission, and flow control of low-impact development. The operation of the rainwater pipe network under different return periods and the real-time operation of the rainwater pipe network were simulated to seek solutions to urban waterlogging problems caused by flat terrain and slow drainage. The results revealed that surface runoff is the primary source of rainfall in the study area, with a runoff coefficient of 0.599. The drainage pipe network was optimized by expanding the diameter of the pipe from ≤ 1.5 mm to ≥ 2 mm. The water reduction rate was more than 50%, and overload did not occur after optimization. Therefore, sinking greenspace technology and optimization methods for expanding the pipe diameter can reduce urban waterlogging.

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Developing a Lateral Terrestrial Water Flow Scheme to Improve the Representation of Land Surface Hydrological Processes in the Noah‐MP of WRF‐Hydro

Wang,

Miao,

Kumar Pokharel

et al. 2024

Hydrological Processes

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Lateral terrestrial water flow in the Weather Research and Forecasting (WRF) Model and its hydrologically enhanced version, WRF‐Hydro, is calculated on a routing grid based on infiltration excess in Land Surface Model (LSM) grid disaggregates to the routing grids. However, this design neglects the lateral terrestrial water flow within LSM grids and does not resolve water lateral transport in LSM. In this study, we develop a lateral terrestrial water flow scheme in the Noah with multiparameterization (Noah‐MP) of WRF‐Hydro grids to address this knowledge gap and evaluate its influence on land surface hydrological processes. Our results indicate that lateral terrestrial water flow leads to 62.3% of grid surface water outflow, resulting in a decrease in accumulated water depth by 123.88 mm. In urban areas, the accumulated water depth further reduces by 21.11 mm when considering the pipe discharge scheme. Compared to the default WRF‐Hydro simulation, the lateral terrestrial water flow combined with pipe discharge can effectively advance the calibrated WRF‐Hydro modelling capability and reproduce the water depth reasonably compared to the observation in urban areas. Further, our analysis indicates that the decreasing lateral terrestrial water flow in LSM primarily reduces overland flow and increases streamflow in routing grids, mainly through redistributing water from the steep slopes towards the lower elevations and ultimately converting it to streamflow in the channel network.

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Impacts of rainstorm characteristics on flood inundation mitigation performance of LID measures throughout an urban catchment

Cited by 12 publications

References 38 publications

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Overflow simulation and optimization of a drainage system in an urban area in northern Anhui Plain

Developing a Lateral Terrestrial Water Flow Scheme to Improve the Representation of Land Surface Hydrological Processes in the Noah‐MP of WRF‐Hydro

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