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Practical Implications and Recommendations for Future Research

  • Buddhi Wijesiri
  • An Liu
  • Prasanna Egodawatta
  • James McGree
  • Ashantha Goonetilleke
Chapter
Part of the SpringerBriefs in Water Science and Technology book series (BRIEFSWATER)

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.

Keywords

Logic models Modelling uncertainty Pollutant processes Process uncertainty Stormwater quality modelling 

References

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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Buddhi Wijesiri
    • 1
  • An Liu
    • 2
  • Prasanna Egodawatta
    • 1
  • James McGree
    • 1
  • Ashantha Goonetilleke
    • 1
  1. 1.Science and Engineering FacultyQueensland University of Technology (QUT)BrisbaneAustralia
  2. 2.College of Chemistry and Environmental EngineeringShenzhen UniversityShenzhenChina

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