Improved methods for predicting trash delivery to culverts protected by trash screens

N. Wallerstein, S. Arthur

    Research output: Contribution to journalArticle

    Abstract

    The risk of flooding associated with blockage of culverts by natural and anthropogenic debris is often reduced by fitting a trash screen at the structure's inlet. However, screens can actually exacerbate flood risk if not properly designed and maintained. In this paper, findings from a project that has been tasked with developing decision support tools to help the asset manager prioritise screen clearance strategies are explored. The scientific knowledge base surrounding this complex issue has been extended using an empirical approach by correlating the probability of delivery of significant debris loads to trash screens, as determined using data from 140 screen sites in Belfast, Northern Ireland, with pertinent driving variables including channel properties, flows, land use types and the degree of social deprivation. This analysis has enabled fundamental relationships to be developed that, once validated, will help planners to establish the potential loads of debris that may be delivered to screens and will therefore offer a robust means to rank culverts in terms of blockage potential and therefore flood risk.

    Original languageEnglish
    Pages (from-to)23-36
    Number of pages14
    JournalJournal of Flood Risk Management
    Volume5
    Issue number1
    DOIs
    Publication statusPublished - Mar 2012

    Keywords

    • Blockage probability
    • debris
    • decision support
    • flood risk
    • multiple regression modelling
    • trash delivery
    • trash screen

    Cite this

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    title = "Improved methods for predicting trash delivery to culverts protected by trash screens",
    abstract = "The risk of flooding associated with blockage of culverts by natural and anthropogenic debris is often reduced by fitting a trash screen at the structure's inlet. However, screens can actually exacerbate flood risk if not properly designed and maintained. In this paper, findings from a project that has been tasked with developing decision support tools to help the asset manager prioritise screen clearance strategies are explored. The scientific knowledge base surrounding this complex issue has been extended using an empirical approach by correlating the probability of delivery of significant debris loads to trash screens, as determined using data from 140 screen sites in Belfast, Northern Ireland, with pertinent driving variables including channel properties, flows, land use types and the degree of social deprivation. This analysis has enabled fundamental relationships to be developed that, once validated, will help planners to establish the potential loads of debris that may be delivered to screens and will therefore offer a robust means to rank culverts in terms of blockage potential and therefore flood risk.",
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    author = "N. Wallerstein and S. Arthur",
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    }

    Improved methods for predicting trash delivery to culverts protected by trash screens. / Wallerstein, N.; Arthur, S.

    In: Journal of Flood Risk Management, Vol. 5, No. 1, 03.2012, p. 23-36.

    Research output: Contribution to journalArticle

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    AB - The risk of flooding associated with blockage of culverts by natural and anthropogenic debris is often reduced by fitting a trash screen at the structure's inlet. However, screens can actually exacerbate flood risk if not properly designed and maintained. In this paper, findings from a project that has been tasked with developing decision support tools to help the asset manager prioritise screen clearance strategies are explored. The scientific knowledge base surrounding this complex issue has been extended using an empirical approach by correlating the probability of delivery of significant debris loads to trash screens, as determined using data from 140 screen sites in Belfast, Northern Ireland, with pertinent driving variables including channel properties, flows, land use types and the degree of social deprivation. This analysis has enabled fundamental relationships to be developed that, once validated, will help planners to establish the potential loads of debris that may be delivered to screens and will therefore offer a robust means to rank culverts in terms of blockage potential and therefore flood risk.

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