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    Updating Secondary Climate Attributes for Transportation Infrastructure Management

    Source: Journal of Infrastructure Systems:;2018:;Volume ( 024 ):;issue: 001
    Author:
    Tao Liao
    ,
    Indraneel Kumar
    ,
    Michelle Dojutrek
    ,
    Samuel Labi
    DOI: 10.1061/(ASCE)IS.1943-555X.0000396
    Publisher: American Society of Civil Engineers
    Abstract: With research studies continuing to provide strong evidence that climatic conditions significantly impair the physical condition and longevity of civil engineering infrastructure, the importance of reliable climate data cannot be overemphasized. Climate considerations play a critical role in infrastructure deterioration prediction, attribution of infrastructure repair responsibilities across the load and nonload factors of deterioration (for cost allocation purposes), and numerous other agency functions involving infrastructure planning, design, operations, monitoring, and repair. Often, for such applications, the secondary indicators of climate, primarily the freeze index and freeze-thaw cycles, are of particular interest. Unfortunately, at the current time, data on the secondary climate attributes stored in existing infrastructure-related climate databases are either outdated or exist in the form of highly aggregate qualitative characterizations such as climate zones or regions. The impact of these limitations becomes even more salient when viewed against the backdrop of incipient long-term climate change and the variability of climate conditions within each climate zone. To address these limitations, this paper uses data from the contiguous United States to first examine the temporal changes in primary climate attributes using the climate normals from two overlapping time windows. ANOVA and Tukey multiple comparison procedures are applied to investigate whether there have been statistically significant changes in climate attribute levels across the two time windows and magnitude of any such changes. The results show that over the study period under consideration, states in the Northern and Rocky Mountain regions particularly experienced significant changes in their secondary climate attributes. Furthermore, the paper provides updated values for the two secondary climate attributes that are of particular interest to infrastructure engineers. To determine these attributes, interpolation methods in a geographic information system (GIS) are used to develop isarithmic maps of the climate attributes to facilitate their interpretation and application. In summary, this paper provides an improved and updated characterization of climate conditions in the contiguous United States and makes location-specific secondary climate attributes available to infrastructure engineers and managers for use in their various agency functions.
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      Updating Secondary Climate Attributes for Transportation Infrastructure Management

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    contributor authorTao Liao
    contributor authorIndraneel Kumar
    contributor authorMichelle Dojutrek
    contributor authorSamuel Labi
    date accessioned2017-12-30T12:56:18Z
    date available2017-12-30T12:56:18Z
    date issued2018
    identifier other%28ASCE%29IS.1943-555X.0000396.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4243642
    description abstractWith research studies continuing to provide strong evidence that climatic conditions significantly impair the physical condition and longevity of civil engineering infrastructure, the importance of reliable climate data cannot be overemphasized. Climate considerations play a critical role in infrastructure deterioration prediction, attribution of infrastructure repair responsibilities across the load and nonload factors of deterioration (for cost allocation purposes), and numerous other agency functions involving infrastructure planning, design, operations, monitoring, and repair. Often, for such applications, the secondary indicators of climate, primarily the freeze index and freeze-thaw cycles, are of particular interest. Unfortunately, at the current time, data on the secondary climate attributes stored in existing infrastructure-related climate databases are either outdated or exist in the form of highly aggregate qualitative characterizations such as climate zones or regions. The impact of these limitations becomes even more salient when viewed against the backdrop of incipient long-term climate change and the variability of climate conditions within each climate zone. To address these limitations, this paper uses data from the contiguous United States to first examine the temporal changes in primary climate attributes using the climate normals from two overlapping time windows. ANOVA and Tukey multiple comparison procedures are applied to investigate whether there have been statistically significant changes in climate attribute levels across the two time windows and magnitude of any such changes. The results show that over the study period under consideration, states in the Northern and Rocky Mountain regions particularly experienced significant changes in their secondary climate attributes. Furthermore, the paper provides updated values for the two secondary climate attributes that are of particular interest to infrastructure engineers. To determine these attributes, interpolation methods in a geographic information system (GIS) are used to develop isarithmic maps of the climate attributes to facilitate their interpretation and application. In summary, this paper provides an improved and updated characterization of climate conditions in the contiguous United States and makes location-specific secondary climate attributes available to infrastructure engineers and managers for use in their various agency functions.
    publisherAmerican Society of Civil Engineers
    titleUpdating Secondary Climate Attributes for Transportation Infrastructure Management
    typeJournal Paper
    journal volume24
    journal issue1
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000396
    page04017040
    treeJournal of Infrastructure Systems:;2018:;Volume ( 024 ):;issue: 001
    contenttypeFulltext
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