Abstract
The idea of a sustainable environment is relevant to today’s thoughts to protect and preserve the ecosystem for the benefit of humans. The growth in population has continued with the development of agricultural and manufactural industries that have disposed wastes to open waterbodies causing immeasurable impacts on water quality conditions. Imposed pollution control measures tend to minimize these impacts and have worked in conjunction with a number of water quality monitoring programs dedicated to identify cause and effects of water quality problems and areas of concerns. These measures and data acquisition systems serve the policing of the environment. This paper presents an approach using normal and Bayesian probability concepts to establish criteria for assessing ambient water quality time series. The statistical performance evaluation measures the reliability, resiliency and vulnerability of time series of selected water quality parameters including streamflow. It is concluded that this method can be used as a tool to assist decision-makers in managing pollution control problems.
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© 1994 Springer Science+Business Media Dordrecht
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Logan, L.A. (1994). Probability Criteria for Assessing Water Quality Series. In: Hipel, K.W., Fang, L. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/2. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3081-5_14
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DOI: https://doi.org/10.1007/978-94-017-3081-5_14
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