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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!
75 Excel spreadsheets are available to download here
Chapter 1: Introduction
Chapter 2: Flow data and the concept of loading
Chapter 3: Planning your monitoring programme. Sampling and measurements
Chapter 4: Laboratory analysis and data management
Chapter 5: Descriptive statistics: numerical methods for describing monitoring data
Chapter 6: Descriptive statistics: graphical methods for describing monitoring data
Chapter 7: Removal efficiencies
Chapter 8: Symmetry and asymmetry in monitoring data. Normal and log-normal distributions
Chapter 9: Compliance with targets and regulatory standards for effluents and water bodies
Chapter 10: Making comparisons with your monitoring data. Tests of hypotheses
Chapter 11: Relationship between monitoring variables. Correlation and regression analysis
Chapter 12: Water and mass balances
Chapter 13: Loading rates applied to treatment units
Chapter 14: Reaction kinetics and reactor hydraulics
Chapter 15: Model application, calibration, and verification
References
Index
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