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    Practical Implications and Recommendations for Future Research

    New search for: Wijesiri, Buddhi
    New search for: Liu, An
    New search for: Egodawatta, Prasanna
    New search for: McGree, James
    New search for: Goonetilleke, Ashantha

    Abstract This chapter discusses implications of the outcomes of this research study in relation to stormwater pollution mitigation. It also presents a novel approach for implementing the research outcomes, using the concept of Logic Models. This approach is a logical sequence to a set of activities that enable the designing of effective stormwater pollution mitigation strategies utilising reliable information generated by stormwater quality models. The chapter further identifies opportunities for future research, namely, pollutant-particulate interactions, uncertainty assessment in relation to models with different complexity, and the need for integrating different modelling frameworks to improve the quantification of overall uncertainty associated with stormwater quality modelling outcomes.

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    Practical Implications and Recommendations for Future Research

    New search for: Wijesiri, Buddhi
    New search for: Liu, An
    New search for: Egodawatta, Prasanna
    New search for: McGree, James
    New search for: Goonetilleke, Ashantha

    Abstract This chapter discusses implications of the outcomes of this research study in relation to stormwater pollution mitigation. It also presents a novel approach for implementing the research outcomes, using the concept of Logic Models. This approach is a logical sequence to a set of activities that enable the designing of effective stormwater pollution mitigation strategies utilising reliable information generated by stormwater quality models. The chapter further identifies opportunities for future research, namely, pollutant-particulate interactions, uncertainty assessment in relation to models with different complexity, and the need for integrating different modelling frameworks to improve the quantification of overall uncertainty associated with stormwater quality modelling outcomes.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Practical Implications and Recommendations for Future Research

    New search for: Wijesiri, Buddhi
    New search for: Liu, An
    New search for: Egodawatta, Prasanna
    New search for: McGree, James
    New search for: Goonetilleke, Ashantha

    Abstract This chapter discusses implications of the outcomes of this research study in relation to stormwater pollution mitigation. It also presents a novel approach for implementing the research outcomes, using the concept of Logic Models. This approach is a logical sequence to a set of activities that enable the designing of effective stormwater pollution mitigation strategies utilising reliable information generated by stormwater quality models. The chapter further identifies opportunities for future research, namely, pollutant-particulate interactions, uncertainty assessment in relation to models with different complexity, and the need for integrating different modelling frameworks to improve the quantification of overall uncertainty associated with stormwater quality modelling outcomes.

    Access

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    Title:

    Practical Implications and Recommendations for Future Research

    Contributors:

    Wijesiri, Buddhi (author) / Liu, An (author) / Egodawatta, Prasanna (author) / McGree, James (author) / Goonetilleke, Ashantha (author)

    Published in:

    Decision Making with Uncertainty in Stormwater Pollutant Processes ; 49-55

    SpringerBriefs in Water Science and Technology

    Publication date:

    2018-12-07

    Size:

    7 pages

    ISBN:

    978-981-13-3507-5 , 978-981-13-3506-8

    ISSN:

    2194-7244 , 2194-7252

    DOI:

    https://doi.org/10.1007/978-981-13-3507-5_5

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Logic models , Modelling uncertainty , Pollutant processes , Process uncertainty , Stormwater quality modelling Environment , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Water Quality/Water Pollution , Geoengineering, Foundations, Hydraulics

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