Skip to main content

Pollutant Build-up and Wash-off Process Variability

  • Chapter
  • First Online:
Decision Making with Uncertainty in Stormwater Pollutant Processes

Abstract

The outcomes of a series of mathematical simulations of pollutant build-up and wash-off are presented in this chapter, strengthening the knowledge base on process variability. It was found that the build-up of particles <150 µm and >150 µm have different temporal patterns. These patterns could be used to differentiate between the behaviour of particles. The behaviour of particles <150 µm was found to play a key role in creating build-up process variability. On the other hand, the load and composition of different sized particles available on urban surfaces prior to a rainfall event were found to significantly influence the wash-off process. Similar to build-up, wash-off process variability is largely dependent on the behaviour of particles <150 µm, although the contribution from particles >150 µm is significant during rainfall events with relatively shorter duration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • ABS. (2011). Australian Bureau of Statistics Census-QuickStats. Retrieved April 15, 2015, from http://www.abs.gov.au/websitedbs/censushome.nsf/home/quickstats?opendocument&navpos=220.

  • APHA. (2012). Standard methods for examination of water and wastewater (E. W. Rice, R. B. Baird, A. D. Eaton L. S. Clesceri Eds. 22 ed.). Washington, D.C.: American Public Health Association, American Water Works Association, Water Environment Federation.

    Google Scholar 

  • Ball, J. E., Jenks, R., & Aubourg, D. (1998). An assessment of the availability of pollutant constituents on road surfaces. Science of the Total Environment, 209(2–3), 243–254.

    Article  CAS  Google Scholar 

  • Egodawatta, P. (2007). Translation of small-plot scale pollutant build-up and wash-off measurements to urban catchment scale. (Ph.D.), Queensland University of Technology.

    Google Scholar 

  • Egodawatta, P., Thomas, E., & Goonetilleke, A. (2007). Mathematical interpretation of pollutant wash-off from urban road surfaces using simulated rainfall. Water Research, 41(13), 3025–3031.

    Article  CAS  Google Scholar 

  • Gunawardana, C. T. K. (2011). Influence of physical and chemical properties of solids on heavy metal adsorption. (Ph.D.), Queensland University of Technology.

    Google Scholar 

  • Herngren, L. F. (2005). Build-up and wash-off process kinetics of pahs and heavy metals on paved surfaces using simulated rainfall. (Ph.D.), Queensland University of Technology.

    Google Scholar 

  • Malvern Instrument Ltd. (2015). Mastersizer 3000 User Manual. MAN0474-04-EN-00, UK.

    Google Scholar 

  • Mummullage, S., Egodawatta, P., Ayoko, G. A., & Goonetilleke, A. (2016). Use of physicochemical signatures to assess the sources of metals in urban road dust. Science of the Total Environment, 541, 1303–1309.

    Article  CAS  Google Scholar 

  • Rayment, G. E., & Lyons, D. J. (2011). Soil chemical methods: Australasia: CSIRO publishing.

    Google Scholar 

  • Sartor, J. D., & Boyd, G. B. (1972). Water pollution aspects of street surface contaminants EPA-R2-72-081. Washington, D.C.: U.S. Environmental Protection Agency

    Google Scholar 

  • USEPA. (1994). Method 200.8: Determination of trace elements in waters and wastes by inductively coupled plasma-mass spectrometry. Revision 5.4. U.S. Ohio: Environmental Protection Agency.

    Google Scholar 

  • Wijesiri, B., Egodawatta, P., McGree, J., & Goonetilleke, A. (2015a). Incorporating process variability into stormwater quality modelling. Science of the Total Environment, 533, 454–461. https://doi.org/10.1016/j.scitotenv.2015.07.008.

    Article  CAS  Google Scholar 

  • Wijesiri, B., Egodawatta, P., McGree, J., & Goonetilleke, A. (2015b). Influence of pollutant build-up on variability in wash-off from urban road surfaces. Science of the Total Environment, 527–528, 344–350. https://doi.org/10.1016/j.scitotenv.2015.04.093.

    Article  CAS  Google Scholar 

  • Wijesiri, B., Egodawatta, P., McGree, J., & Goonetilleke, A. (2015c). Process variability of pollutant build-up on urban road surfaces. Science of the Total Environment, 518–519, 434–440. https://doi.org/10.1016/j.scitotenv.2015.03.014.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to An Liu .

Rights and permissions

Reprints and permissions

Copyright information

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

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Wijesiri, B., Liu, A., Egodawatta, P., McGree, J., Goonetilleke, A. (2019). Pollutant Build-up and Wash-off Process Variability. In: Decision Making with Uncertainty in Stormwater Pollutant Processes. SpringerBriefs in Water Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-3507-5_2

Download citation

Publish with us

Policies and ethics