Abstract
Questions of safety or reliability in environmental engineering arise principally due to the presence of uncertainty. There are various sources and types of uncertainty due to randomness of physical phenomena and errors in modeling and prediction. The randomness inherent in physical phenomena is normally described using probability distributions and certain moment properties. These properties are central tendency and dispersion or standard deviation. The modeling errors are either systematic or random. The uncertainty in modeling or prediction may be due to sampling error and imperfection of the prediction model, giving rise to both random error and systematic error. This paper describes various types, sources, and measures of uncertainty that apply to environmental data analysis.
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© 2003 Springer Science+Business Media Dordrecht
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Singh, V.P., Strupczewski, W.G., Weglarczyk, S. (2003). Uncertainty In Environmental Analysis. In: Harmancioglu, N.B., Ozkul, S.D., Fistikoglu, O., Geerders, P. (eds) Integrated Technologies for Environmental Monitoring and Information Production. Nato Science Series, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0231-8_11
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DOI: https://doi.org/10.1007/978-94-010-0231-8_11
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-1399-7
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