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Thermal Stratification Prediction at Lake Trevallyn

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Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10526))

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Abstract

Thermal stratification refers to difference of temperature across water column and can act as a proxy of algal bloom. Algal bloom is a problem in Lake Trevallyn in Launceston, Tasmania. Administrators are interested in finding the causes of algal bloom and in prediction of such events in Lake Trevallyn. The results presented in this paper are the findings from a study to predict thermal stratification in Lake Trevallyn using a machine learning based approach.

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References

  1. NRM North, “Lake Trevallyn Algal Monitoring Program,” August 2014. http://www.nrmnorth.org.au/reports. Accessed Dec 2016

  2. Lake stratification. https://en.wikipedia.org/wiki/Lake_stratification. Accessed Dec 2016

  3. Statistical quantification of the effect of thermal stratification on patterns of dispersion in a freshwater zooplankton community, link: http://link.springer.com/article/10.1007%2Fs10452-005-9021-3#/page-1. Accessed Dec 2016

  4. Predicting the onset of thermal stratification in shallow inland waterbodies, link: http://link.springer.com/article/10.1007/s00027-009-8063-3#/page-2. Accessed Dec 2016

  5. Mathematical prediction of thermal stratification of lake ostrovo (vegoritis), Greece, link: http://onlinelibrary.wiley.com/doi/10.1029/WR022i011p01590/pdf. Accessed Dec 2016

  6. Stratification of lakes, link: http://onlinelibrary.wiley.com/doi/10.1029/2006RG000210/epdf. Accessed Dec 2016

  7. SILO climate data, https://www.longpaddock.qld.gov.au/silo/, Accessed Dec 2016

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Correspondence to Ashfaqur Rahman .

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© 2017 Springer International Publishing AG

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Rahman, A., Smethurst, P., Attard, M., Dunne, R. (2017). Thermal Stratification Prediction at Lake Trevallyn. In: Kang, U., Lim, EP., Yu, J., Moon, YS. (eds) Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2017. Lecture Notes in Computer Science(), vol 10526. Springer, Cham. https://doi.org/10.1007/978-3-319-67274-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-67274-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67273-1

  • Online ISBN: 978-3-319-67274-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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