Perspectives for flood risk assessment and management for mega-city metro system

Lyu, Hai‐Min; Shen, Shui‐Long; Zhou, Annan; Yang, Jun

doi:10.1016/j.tust.2018.10.019

Cited by 238 publications

(93 citation statements)

References 127 publications

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“…The abovementioned models combine GIS and SWMM to obtain, edit, store, process, analysis, simulate, manage, and visualize the spatial and attribute data for further study of the urban waterlogging (Elbaz et al 2019;Lyu, Shen, Zhou, Yang 2019). However, they cannot effectively simulate inundation extent and depth (Sang and Yang 2017).…”

Section: Introductionmentioning

confidence: 99%

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

Hou

2020

Geomatics, Natural Hazards and Risk

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This study presents a water accumulation diffusion algorithm to spatially simulate rainstorm-induced waterlogging for people's lives and property safety. Taking part of Jinfeng District in Yinchuan City, China, as a study area, a storm water management model (SWMM) model is constructed with the aid of geographic information system (GIS) and remote sensing (RS) technologies. GIS is used to divide subcatchments, generalize drainage system, set parameters, construct spatial geodatabase, and identify flood extents and depths. RS is used to obtain land-use/land-cover information. The water accumulation diffusion algorithm is then designed using the strategies of the dynamic interactions between pipes and surface and between central pixel and its neighbourhood pixels to transform water accumulation volume of sub-catchment into the submerged range and water accumulation depth. Positions, extents, depths, and volumes of water accumulation from pipe network and surface are simulated, respectively. The spatial simulation precisions of rainstorm waterlogging from the pipe network and surface are verified according to the measured and cyber rainstorm data, respectively. The results show that (1) the number of water accumulation nodes increases with the increase of rainfall intensity; (2) urban waterlogging is mainly distributed in the intersects of roads, low depressions and the aged drainage networks; and (3) spatial simulation of urban rainstorm waterlogging based on the GIS, RS, and SWMM techniques and the water accumulation diffusion algorithm is reliable. The results can provide decision-makings to predict rainstorm waterlogging, design drainage network, and construct a sponge city. ARTICLE HISTORY

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Section: Introductionmentioning

confidence: 99%

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

Hou

2020

Geomatics, Natural Hazards and Risk

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“…To achieve this purpose, many constitutive models have been proposed for soils . However, different constitutive models render dissimilar results in the process of numerical simulations, prompting variations in engineering decisions that affect the levels of safety, economy, and risk in construction . Therefore, selecting the appropriate model is a critical issue in the application of constitutive models to practical use.…”

Section: Introductionmentioning

confidence: 99%

“…[8][9][10][11] However, different constitutive models render dissimilar results in the process of numerical simulations, prompting variations in engineering decisions that affect the levels of safety, economy, and risk in construction. [12][13][14][15][16][17] Therefore, selecting the appropriate model is a critical issue in the application of constitutive models to practical use. Lack of attention to the problem of model selection has become a primary source of risk for accident.…”

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confidence: 99%

Bayesian model selection for sand with generalization ability evaluation

Jin

Yin

Zhou

et al. 2019

Num Anal Meth Geomechanics

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Summary Current studies have focused on selecting constitutive models using optimization methods or selecting simple formulas or models using Bayesian methods. In contrast, this paper deals with the challenge to propose an effective Bayesian‐based selection method for advanced soil models accounting for the soil uncertainty. Four representative critical state‐based advanced sand models are chosen as database of constitutive model. Triaxial tests on Hostun sand are selected as training and testing data. The Bayesian method is enhanced based on transitional Markov chain Monte Carlo method, whereby the generalization ability for each model is simultaneously evaluated, for the model selection. The most plausible/suitable model in terms of predictive ability, generalization ability, and model complexity is selected using training data. The performance of the method is then validated by testing data. Finally, a series of drained triaxial tests on Karlsruhe sand is used for further evaluating the performance.

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“…It is essential to minimize or mitigate especially the impact of the increasing urban floods, which are due in particular to the increase in the amount of impermeable surfaces in urban agglomerates and global warming, which is causing extreme events that become progressively more intense. Multiple aspects, issues, or measures related to the management or control of stormwater systems have been investigated, ranging from flood incidence analysis [2], or the evaluation of urban hydrologic changes [3], up to flood hazard studies in metro systems [4,5]. Areas of concern include: the reduction of peak flows entering the networks, for example by considering bioretention systems [6][7][8]; detention ponds associated to management strategies [9] and rainwater harvesting systems [10], with potential reuse of the stored rainwater; the creation of conditions at the level of the urban basins allowing controlled surface runoff, particularly similar to those existing prior to urbanization [11,12]; the increase of permeable surfaces in the urban basins, such as through the development of green infrastructures and green roofs [13]; and the mitigation or possible treatment of some pollutants associated with the washing of streets and other impervious surfaces [14].…”

Section: Introductionmentioning

confidence: 99%

Peak Flows and Stormwater Networks Design—Current and Future Management of Urban Surface Watersheds

Diogo

Carmo

2019

Water

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Stormwater urban drainage systems are typically designed in open channel flow. Pipe sewers must have enough capacity to transport maximum design flows for a given frequency of the project rainfall. The classic rational method or related procedures that are based on rational approaches are still currently used to a great extent, particularly for small urban drainage basins, and the pipes are frequently designed in uniform steady flow. Numerical integration of Saint-Venant equations for one-dimensional gradually varied unsteady flow allows the computation of waves’ progression along the pipes for given input surface hydrographs. This paper presents a comprehensive, systematic, simple, and original comparison between the peak flows that are achieved through simulation in unsteady flow using an implicit complete dynamic model, developed in the Laboratory of Hydraulics, Water Resources and Environment of Coimbra University, and those that are obtained with the classic rational method along urban drainage networks. Boundary conditions and some approximations typically considered in the methodologies are analyzed in detail. Classic rational approaches may underestimate the peak and design flows. Practical recommendations for the system design phase when rational approaches are used are also proposed. The need for indispensable requirements for suitable urbanization rules, intelligent management of surface runoff in urban basins, and control measures for the reduction of peak flows entering existing networks is confirmed and reinforced.

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Perspectives for flood risk assessment and management for mega-city metro system

Cited by 238 publications

References 127 publications

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

Spatial simulation of rainstorm waterlogging based on a water accumulation diffusion algorithm

Bayesian model selection for sand with generalization ability evaluation

Peak Flows and Stormwater Networks Design—Current and Future Management of Urban Surface Watersheds

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