Statistical tools for analyzing water quality data
Fu, Liya & Wang, You-Gan (2012) Statistical tools for analyzing water quality data. In Voudouris, K. & Voutsa, D. (Eds.) Water Quality Monitoring and Assessment. InTech Publisher, Rijeka, Croatia, pp. 143-168.
Water quality data are often collected at different sites over time to improve water quality management. Water quality data usually exhibit the following characteristics: non-normal distribution, presence of outliers, missing values, values below detection limits (censored), and serial dependence. It is essential to apply appropriate statistical methodology when analyzing water quality data to draw valid conclusions and hence provide useful advice in water management. In this chapter, we will provide and demonstrate various statistical tools for analyzing such water quality data, and will also introduce how to use a statistical software R to analyze water quality data by various statistical methods. A dataset collected from the Susquehanna River Basin will be used to demonstrate various statistical methods provided in this chapter. The dataset can be downloaded from website http://www.srbc.net/programs/CBP/nutrientprogram.htm.
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|Item Type:||Book Chapter|
|Keywords:||Water Quality, Statistical Tools|
|Divisions:||Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 The Author(s)|
|Deposited On:||04 May 2016 23:07|
|Last Modified:||04 May 2016 23:07|
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