Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China

Yin, Jie; Yu, Dapeng; Yin, Zhane; Lü, Min; He, Qing

doi:10.1016/j.jhydrol.2016.03.037

Cited by 290 publications

(155 citation statements)

References 34 publications

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“…The performance of this method will be limited by the availability and quality of gauge data, the specific initial 20 conditions chosen, the parameterization of the routing model and the exclusion of non-linear features such as dams (Yin et al, 2016a;Yin et al, 2016b). Further work is needed to determine how this method will perform as the density of the gauge network is reduced or as the amount of days missing from a gauge's discharge record is increased, as would be the case in many of the global basins which do not currently have robust observation networks.…”

Section: Resultsmentioning

confidence: 99%

Spatiotemporal Assimilation/Interpolation of Discharge Records through Inverse Streamflow Routing

Fisher¹,

Pan²,

Wood³

2018

Preprint

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Abstract.Poorly monitored river flows in many regions of the world have been hindering our ability to accurately estimate global water usage as well as the budgets and variability of the global water cycle. In-situ gauging sites, as well as a number of satellite-based systems, make observations of river discharge throughout the globe; however, these observations are often sparse due to, e.g., the sampling frequencies of sensors or a lack of reporting. Recently, efforts have been made to develop methods to integrate these discrete observations to gain a better understanding of the underlying processes. This paper 10 presents an application of a fixed interval Kalman smoother based model, called Inverse Streamflow Routing (ISR), to generate spatially and temporally continuous river discharge fields from discrete observations. The method propagates the observed information across all reachable parts of the river network (up/downstream from gauging point) and all reachable times (before/after observation time) using a two-sweep procedure that first propagates information backward in time to the furthest upstream locations (inverse routing) and then propagates it forward in time to the furthest downstream locations (forward 15 routing). The key advantages of this approach are that it (1) maintains all the physical consistencies embodied by a diffusive wave routing model (flow confluence relationships on the river network and the resulting mass balance, wave velocity and diffusivity), (2) updates the lateral influx (runoff) at pixel level (furthest upstream) to guarantee exhaustive propagation of observed information, (3) works both with a first guess of initial river discharge conditions from a routing model (assimilation) and without a first guess (pure interpolation of observations). Two sets of experiments are carried out under idealized 20 conditions as well as real-world conditions provided by U.S. Geological Survey observations. Results show that the method can effectively reproduce the spatial and temporal dynamics of river discharge in each of the experiments presented. The performance is driven by the density of the gauge network as well as the quality of the data being assimilated. We find that when assimilating the actual USGS observations, the performance decreases relative to our idealized scenario; however, we are still able to produce an improved discharge product at each validation site. With further testing as well as global application, 25 ISR may prove to be a useful method for extending our current network of global river discharge observations.

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Section: Resultsmentioning

confidence: 99%

Spatiotemporal Assimilation/Interpolation of Discharge Records through Inverse Streamflow Routing

Fisher¹,

Pan²,

Wood³

2018

Preprint

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“…Urban flooding has become one of the most significant natural hazards due to climate change and rapid urbanization (Di Paola et al, 2014;Fu et al, 2011;Vacondio et al, 2016;Yang et al, 2016;Yin et al, 2016b). The growing trends of the frequency and the intensity of extreme rainfall events have increased the likelihood that the surface runoff overwhelms the drainage capacity.…”

Section: Introductionmentioning

confidence: 99%

An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

Wang

Chen

et al. 2018

Environmental Modelling & Software

161

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“…China Yin et al, 2016), central Europe (Schröter et al, 2015), the United States (Mallakpour and Villarini, 2015), United Kingdom (Van Oldenborgh Hydrol. Earth Syst.…”

Section: Introductionmentioning

confidence: 99%

Local and regional flood frequency analysis based on hierarchical Bayesian model: application to annual maximum streamflow for the Huaihe River basin

Lall

Lima

et al. 2018

Preprint

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Abstract. We develop a hierarchical, multilevel Bayesian model for reducing uncertainties in local (at-site) and regional 10(ungauged or short data sites) flood frequency analysis. This model is applied to the annual maximum streamflow of 17 gauged sites in the Huaihe River basin, China. A Generalized Extreme Value (GEV) distribution is considered for each site, and its location and scale parameters depend on the site's drainage area. We assume the hyper-parameters come from Non-informative (independent, uniform) prior distribution and sample values from posterior distribution by the MCMC method using Gibbs sampling. For comparison, the ordinary GEV fitting by Maximum Likelihood Estimate (MLE) and index flood method fitted 15 by L-moments are also applied. The local simulation results show that for most sites the 95% credible interval simulated by the Hierarchical Bayesian model are narrower than the at site GEV outputs thus reducing uncertainty. By comparison, the homogeneity assumption of the index flood method often leads to large deviations from the empirical flood frequency curve.Cross validated flood quantiles and associated uncertainty intervals are also derived. These results show that the proposed model can better estimate the flood quantiles and their uncertainty than the index flood method.

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Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China

Cited by 290 publications

References 34 publications

Spatiotemporal Assimilation/Interpolation of Discharge Records through Inverse Streamflow Routing

Spatiotemporal Assimilation/Interpolation of Discharge Records through Inverse Streamflow Routing

An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features

Local and regional flood frequency analysis based on hierarchical Bayesian model: application to annual maximum streamflow for the Huaihe River basin

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