Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners
75 Excel spreadsheets are available to download here.
This book presents the basic principles for evaluating water quality and treatment plant performance in a clear, innovative and didactic way, using a combined approach that involves the interpretation of monitoring data associated with (i) the basic processes that take place in water bodies and in water and wastewater treatment plants and (ii) data management and statistical calculations to allow a deep interpretation of the data.
This book is problem-oriented and works from practice to theory, covering most of the information you will need, such as (a) obtaining flow data and working with the concept of loading, (b) organizing sampling programmes and measurements, (c) connecting laboratory analysis to data management, (e) using numerical and graphical methods for describing monitoring data (descriptive statistics), (f) understanding and reporting removal efficiencies, (g) recognizing symmetry and asymmetry in monitoring data (normal and log-normal distributions), (h) evaluating compliance with targets and regulatory standards for effluents and water bodies, (i) making comparisons with the monitoring data (tests of hypothesis), (j) understanding the relationship between monitoring variables (correlation and regression analysis), (k) making water and mass balances, (l) understanding the different loading rates applied to treatment units, (m) learning the principles of reaction kinetics and reactor hydraulics and (n) performing calibration and verification of models.
The major concepts are illustrated by 92 fully worked-out examples, which are supported by 75 freely-downloadable Excel spreadsheets. Each chapter concludes with a checklist for your report. If you are a student, researcher or practitioner planning to use or already using treatment plant and water quality monitoring data, then this book is for you!
ISBN: 9781780409313 (paperback)
ISBN: 9781780409320 (eBook)
ISBN: 9781780409337 (ePub)
Chapter 11: Relationship between monitoring variables. Correlation and regression analysis
2020. "Relationship between monitoring variables. Correlation and regression analysis", Assessment of Treatment Plant Performance and Water Quality Data: A Guide for Students, Researchers and Practitioners, Marcos von Sperling, Matthew E. Verbyla, Sílvia M. A. C. Oliveira
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This chapter shows you how to analyse the relationship between two or more variables from your monitoring programme (influent and effluent concentrations, environmental conditions, removal efficiencies, applied loading rates, or others). The topics include correlation and regression analysis between variables. Correlation studies encompass correlation coefficients, correlation matrices, cross-correlation, and autocorrelation, including parametric Pearson and non-parametric Spearman correlation methods. For regression analysis, we place emphasis on the linear regression model, which is covered in detail. Other regression models (multiple linear regression and non-linear regression) are also addressed in this chapter.