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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2024, Vol. 18 Issue (2) : 22    https://doi.org/10.1007/s11783-024-1782-9
REVIEW ARTICLE
From risk control to resilience: developments and trends of urban roads designed as surface flood passages to cope with extreme storms
Zhiyu Shao1,2(), Yuexin Li1,2, Huafeng Gong3, Hongxiang Chai1,2
1. College of Environment and Ecology, Chongqing University, Chongqing 400030, China
2. Key Laboratory of Ecological Environment of Ministry of Education of Three Gorges Reservoir Area, Chongqing University, Chongqing 400030, China
3. T. Y. Lin International Engineering Consulting (China) Co. Ltd., Chongqing 400045, China
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Abstract

● Designing of flood passages toward inundation risk reduction was summarized.

● Resilience assessment and enhancement methods for flood passages were highlighted.

● Lifeline and emergency planning is vital for fulfilling flood-resilient passages.

● Special attention should be given to vulnerable groups during the design process.

Urban roads can be designated as surface flood passages to transport excess runoff during extreme storms, thereby preventing local flooding, which is known as the major drainage system. However, this practice poses significant risks, including human loss and property damage, due to the high flow rate and velocity carried by roads. Moreover, urban roads with low flood-resilience may significantly hamper the transportation function during severe storms, leading to dysfunction of the city. Therefore, there is an urgent need to transform risk-oriented flood passages into resilient urban road-based flood passages. This paper presents a systematic review of existing methodologies in designing a road network-based flood passage system, along with the discussion of new technologies to enhance system resilience. The study also addresses current knowledge gaps and future directions. The results indicate that flood management measures based on the urban road network should integrate accessibility assessment, lifeline and emergency planning to ensure human well-being outcomes. Furthermore, the special needs and features of vulnerable groups must be taken into serious consideration during the planning stage. In addition, a data-driven approach is recommended to facilitate real-time management and evaluate future works.

Keywords Major drainage      Flood mitigation      Resilient city      Stormwater model      Urban flooding     
Corresponding Author(s): Zhiyu Shao   
About author:

Peng Lei and Charity Ngina Mwangi contributed equally to this work.

Issue Date: 26 October 2023
 Cite this article:   
Zhiyu Shao,Yuexin Li,Huafeng Gong, et al. From risk control to resilience: developments and trends of urban roads designed as surface flood passages to cope with extreme storms[J]. Front. Environ. Sci. Eng., 2024, 18(2): 22.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-024-1782-9
https://academic.hep.com.cn/fese/EN/Y2024/V18/I2/22
Fig.1  Publication on flood risk and resilience of roads in recent ten years. (a) Relationship between publication and year; (b) distribution of hotpots related to the publications in recent ten years.
Fig.2  Flow chart of this review.
Fig.3  Relative damage functions and experimental data for children (green line and symbols) and adults (black line and symbols) (Lazzarin et al., 2022).
Fig.4  Relative damage functions (solid lines) and experimental data (symbols) for vehicle sub-categories (Lazzarin et al., 2022).
TypeAdvantagesDisadvantagesApplicationModelling toolsAccess
1D modelsHigh computer efficiencySimple model establishmentApplication limitationsOverflow from drainage networks Flow variables over one-way streetSWMMOpen source
HEC-RAS 1DOpen source
MIKE 11Commercial
InfoWorks RSCommercial
TUFLOW 1DCommercial
Conventional 2D modelsHigh precision Broad applicationHigh computational cost Complex model establishmentFlow variables over streets Flow exchange between streets and drainage networksMIKE 21Commercial
InfoWorks 2DCommercial
TELEMAC 2DOpen source
HEC-RAS 2DCommercial
TUFLOW 2DCommercial
FloodMapResearch
Porosity-based modelsResearch
LISFLOOD-FP (Includes 1D module)Research
HiPIMS (Includes 1D module)Research
CityCAT (Includes 1D module)Research
MIKE FLOOD (Includes 1D module)Commercial
Infoworks ICM (Includes 1D module)Commercial
XPSWMM (Includes 1D module)Commercial
Simplified 2D conceptual modelsWide application Fast simulationLess accuracy compared with 2D and 3D modelsLarge-scale simulation Areas requiring normal accuracyCADDIESResearch
CA-fféResearch
Tab.1  Selected numerical models applied in road inundation forecast
Fig.5  Category of data-driven based machine learning models.
NationGuideline/RecommendationYearMaximum water depthMaximum flow velocityThe relationship of water depth (y; m) and flow velocity (v; m/s)
AustraliaAustralia Runoff and Runoff, A guide of flood estimation. Vol. 1&21987v × y ≤ 0.40
Agricultural and Resource Management Council of Australia and New Zealand (ARMC). Floodplain Management in Australia20001.20–1.501.5
Department of Infrastructure, Planning and Natural Resources (DIPNR). NSW Floodplain Development Manual. South Wales Government, Sydney, Australia.2005v ≤ 3.3y + 2.7 Limits: v ≤ 2; y ≤ 0.8
Department of Infrastructure Planning and Natural Resources. New South Wales Government20052.02.0
Australian Rainfall and Runoff. Project 10. Report for the Appropriate Safety Criteria for People20101.2 (adults) 0.5 (children)3.2v × y ≤ 0.40 (children) v × y ≤ 0.60 (adults)
USAUrban Storm Drainage Criteria Manual. Urban Drainage and Flood Control District. Denver, Colorado (USA)19690.45
Federal Emergency Management Agency (FEMA). The floodway: a guide for community permit officials19790.910.61v × y ≤ 0.56
Clark County Regional Flood Control District (CCRFCD). Hydrological criteria and drainage design manual. Clark County19990.30 v × y ≤ 0.55
United KingdomCIRIA. Designing for exceedance in urban drainage-good practice20060.3 mv × y ≤ 0.5m2/s v2 × y ≤ 1.23m3/s2
Flood risks to people: Phase 1 R&D Technical Report FD 2317 Flood risks to people: Phase 2 R&D Technical Report FD 2321 Department of the Environment, Food and Rural Affairs and Environment Agency, London2006HR = y × (v + 0.5) + DFHR is the hazard rate, DF is the land pattern factor
SpainClavegueram de Barcelona S.A. CLABSA20060.061.5
SwitzerlandRisques Hydro-me′te′orologiques, crues et inondations/risque′, ale′a et vulne′rabilite′/ DDS-TUE364/920040.00–1.000.25–1.00
ItalyRegione Liguria. Autorita′ di Bacino Regionale. Ambito di Bacino No. 719930.30–0.701.00–2.00
FinlandEU-Project RESCDAM. Helsinki PR Water Consulting20000.25 ≤ (v × y) ≤ 0.7
Tab.2  Safety criteria for pedestrians from guidelines and recommendations
Fig.6  Experimental data sets for stability of pedestrians from representative studies.
Guideline/RecommendationYearMaximumwater depthMaximum flow velocityThe relationship of water depth (y; m) and flow velocity (v; m/s)
Department of Public Works, NSW19860.32.0
Australian Rainfall and Runoff (I.E. Aust)19870.6 < v × y < 0.7 depending on vehicle size
Melbourne Water Land Development Manual: Floodway Safety Criteria19960.6v × y ≤ 0.60 for y ≤ 0.1; v × y ≤ 0.80 for y = 0.2; v × y ≤ 0.35 for y ≥ 0.3
Emergency Management Manual (EMA)1997Maintain a bow wave and outfit the vehicle in depths > 750 mm
Emergency Management Manual (EMA)19990.3 (small, light low cars) 0.4 (larger, higher cars)
Moore and Power2002y ≤ (0.4–0.0376v) for (v ≤ 1.81); v × y ≤ 0.6 for (v > 1.81).
Floodplain Development Manual (DIPNR)20050.32.0
Ausroads Guide to Road Design ? Part5: Drainage Design2009
Australian Rainfall & Runoff. Project 10: appropriate safety criteria for vehicles (2011)20110.3 (small passenger); 0.4 (large passenger); 0.5 (large 4WD)3v × y ≤ 0.3 (small passenger); v × y ≤ 0.45 (large passenger);v × y ≤ 0.6 (large 4WD)
Tab.3  Safety criteria for vehicles from guidelines and recommendations (adapted from Shand et al. (2011))
Ref.Flood originResearch scaleUrban form characteristicKey findings
L?we et al. (2017)Local RainMacro-scaleDevelopment type (i.e., dispersed,compact)A more compact urban form proved to be efficient and cost-effective for the reduction of flood risk
Mustafa et al. (2018)Local RainMacro-scaleDevelopment type (i.e., expansion, densification)Strict development control in flood-prone zones leads to a substantial mitigation of the increased flood damage.
Bruwier et al. (2018)River overflowMeso & Micro scaleAverage street length Street orientation Street curvature Major street width Minor street width Mean parcel area Building rear setback Building side setback Building coverageFor urban design at the district and building-block scales: The more fragmented the urban pattern is (relatively small parcel sizes and street length), the lower the upstream water depths. For urban design at the local level of a single parcel: Increasing the voids in-between the buildings (i.e., larger side setbacks) contributed to a decrease in the upstream water depth
Bruwier et al. (2020)Local rainMeso & Micro scaleAverage street lengthStreet orientationStreet curvatureMajor street widthMinor street widthMean parcel areaBuilding rear setbackBuilding side setbackBuilding coverageThe influence of the urban form is magnified in the case of more extreme rainfall events. The negative influence of building coverage on flow variables (i.e., storage volume, outflow discharge, mean water depth) is dominating compared to other urban parameters
Li et al. (2021a)River overflowMeso-scaleNumber of minor streets Conveyance porositiesThe conveyance porosity in the main flow direction is by far more influential on flooding severity mitigation than the conveyance porosity in the normal direction or the number of streets.
Lin et al. (2021)Local rainMicro scaleThree-dimensional building configurationThe density of buildings, building congestion degree, and building coverage ratio have exerted considerable influence on the occurrence of pluvial flooding
Tab.4  Representative studies related to impacts of urban form on flood mitigation
Fig.7  Lifeline and evacuation route planning diagram.
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