YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Natural Hazards Review
    • View Item
    •   YE&T Library
    • ASCE
    • Natural Hazards Review
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Quantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations

    Source: Natural Hazards Review:;2021:;Volume ( 023 ):;issue: 002::page 04021067
    Author:
    Navid Tahvildari
    ,
    Mirla Abi Aad
    ,
    Akash Sahu
    ,
    Yawen Shen
    ,
    Mohamed Morsy
    ,
    Pamela Murray-Tuite
    ,
    Jonathan L. Goodall
    ,
    Kevin Heaslip
    ,
    Mecit Cetin
    DOI: 10.1061/(ASCE)NH.1527-6996.0000524
    Publisher: ASCE
    Abstract: Hurricanes cause substantial inundation of transportation networks, rendering them inaccessible to emergency response vehicles. Because storm tides and heavy rainfall often co-occur during hurricanes, a reliable assessment of roadway inundation in coastal areas requires adequate representation of both flood sources. This study serially coupled a hydrodynamic storm surge model with a two-dimensional hydrodynamic model for rainfall-driven flow to quantify compound flooding in a coastal region. The output of this flood modeling approach is used as an input in an optimization algorithm to identify the required location of ambulances prior to the flood event and determine areas that should be served aerially so that patients can be transported to a critical trauma center within the golden hour or treated by other means. Application of this integrative framework was illustrated for flooding under Hurricane Irene (2011) in southeast Virginia. The compound flood modeling framework had excellent agreement with data from an overland flood gauge. The application of the ambulance positioning algorithm showed that that present ambulance stations are not adequate to completely cover the study area within the golden hour even in the absence of flooding, and three traffic analysis zones need to be served aerially or treated by other means. It also was determined that no traffic analysis zones had access to the trauma center within the golden hour if 10- or 25-cm flood depths were considered as the thresholds for ambulance access. However, after introducing additional ambulance stations, or staging stations where patients could be treated in place or transferred aerially to the trauma center, 52% and 75% of the traffic analysis zones were able to maintain access to the trauma center by ambulance under 10- and 25-cm flood thresholds, respectively. Under the 45-cm flood depth threshold, 73% of the traffic analysis zones maintained access after introducing five additional ambulance stations, but no additional staging stations were required in this case. The framework developed in this multidisciplinary study can provide a useful predictive tool for emergency managers in flood-prone coastal regions.
    • Download: (4.096Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Quantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4282156
    Collections
    • Natural Hazards Review

    Show full item record

    contributor authorNavid Tahvildari
    contributor authorMirla Abi Aad
    contributor authorAkash Sahu
    contributor authorYawen Shen
    contributor authorMohamed Morsy
    contributor authorPamela Murray-Tuite
    contributor authorJonathan L. Goodall
    contributor authorKevin Heaslip
    contributor authorMecit Cetin
    date accessioned2022-05-07T20:14:08Z
    date available2022-05-07T20:14:08Z
    date issued2021-12-21
    identifier other(ASCE)NH.1527-6996.0000524.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282156
    description abstractHurricanes cause substantial inundation of transportation networks, rendering them inaccessible to emergency response vehicles. Because storm tides and heavy rainfall often co-occur during hurricanes, a reliable assessment of roadway inundation in coastal areas requires adequate representation of both flood sources. This study serially coupled a hydrodynamic storm surge model with a two-dimensional hydrodynamic model for rainfall-driven flow to quantify compound flooding in a coastal region. The output of this flood modeling approach is used as an input in an optimization algorithm to identify the required location of ambulances prior to the flood event and determine areas that should be served aerially so that patients can be transported to a critical trauma center within the golden hour or treated by other means. Application of this integrative framework was illustrated for flooding under Hurricane Irene (2011) in southeast Virginia. The compound flood modeling framework had excellent agreement with data from an overland flood gauge. The application of the ambulance positioning algorithm showed that that present ambulance stations are not adequate to completely cover the study area within the golden hour even in the absence of flooding, and three traffic analysis zones need to be served aerially or treated by other means. It also was determined that no traffic analysis zones had access to the trauma center within the golden hour if 10- or 25-cm flood depths were considered as the thresholds for ambulance access. However, after introducing additional ambulance stations, or staging stations where patients could be treated in place or transferred aerially to the trauma center, 52% and 75% of the traffic analysis zones were able to maintain access to the trauma center by ambulance under 10- and 25-cm flood thresholds, respectively. Under the 45-cm flood depth threshold, 73% of the traffic analysis zones maintained access after introducing five additional ambulance stations, but no additional staging stations were required in this case. The framework developed in this multidisciplinary study can provide a useful predictive tool for emergency managers in flood-prone coastal regions.
    publisherASCE
    titleQuantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations
    typeJournal Paper
    journal volume23
    journal issue2
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000524
    journal fristpage04021067
    journal lastpage04021067-18
    page18
    treeNatural Hazards Review:;2021:;Volume ( 023 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian