Stream Hydrology: An Introduction for Ecologists, 2nd EditionISBN: 978-0-470-84357-4
Hardcover
444 pages
June 2004
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 15-20 days delivery time. The book is not returnable.
Other Available Formats: Paperback
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Preface for the Second Edition
Preface for the First Edition.
1. Introducing the Medium.
1.1 Water as a fluid.
1.2 The physics of fluids.
1.3 Physical properties of water.
2. How to Study a Stream.
2.1 Focusing on physical habitat.
2.2 The planning process.
2.3 Strategic sampling.
2.4 Know your limitations.
2.5 Examples of how and how not to conduct a study.
3. Potential Sources of Data (How to Avoid Reinventing the Weir).
3.1 Data types.
3.2 Physical data sources, format, and quality.
3.3 Maps: finding those spatial places.
3.4 Photographs and other remotely sensed data.
4. Getting to Know Your Stream.
4.1 General character.
4.2 Catchment characteristics.
4.3 Streamflow hydrographs.
4.4 How does this stream measure up?
5. How to Have a Field Day and Still Collect Some Useful Information.
5.1 Venturing into the field.
5.2 Surveying: a brief introduction.
5.3 Methods of measuring areal extent.
5.4 Surveying streams.
5.5 Measurement of water level or stage.
5.6 Measurement of discharge (streamflow).
5.7 Substrates and sediments: sampling and monitoring methods.
5.8 Substrates and sediments: analysis of physical properties.
5.9 Water quality.
6. Water at Rest and in Motion.
6.1 General.
6.2 Hydrostatics: the restful nature of water.
6.3 Studying the flow of fluids.
6.4 Narrowing the focus: flow of a viscous fluid.
6.5 The microenvironment: flow near solid surfaces.
6.6 Open-channel hydraulics: the macro-environment.
7. It's Sedimentary, Watson!
7.1 Introduction to stream channels, streambeds and transported materials.
7.2 Stream-shaping processes.
7.3 The ins and outs of channel topography.
7.4 Sediment motion.
7.5 Sediment yield from a catchment.
8. Dissecting Data with a Statistical Scope.
8.1 Introduction.
8.2 Streamflow frequency analysis.
8.3 Flow-duration curves.
8.4 Flow-spell analysis.
8.5 Extrapolating from the known to the unknown.
8.6 Numerical taxonomy: multivariate analysis techniques.
Appendix 1: Basic Statistics.
References.
Preface for the First Edition.
1. Introducing the Medium.
1.1 Water as a fluid.
1.2 The physics of fluids.
1.3 Physical properties of water.
2. How to Study a Stream.
2.1 Focusing on physical habitat.
2.2 The planning process.
2.3 Strategic sampling.
2.4 Know your limitations.
2.5 Examples of how and how not to conduct a study.
3. Potential Sources of Data (How to Avoid Reinventing the Weir).
3.1 Data types.
3.2 Physical data sources, format, and quality.
3.3 Maps: finding those spatial places.
3.4 Photographs and other remotely sensed data.
4. Getting to Know Your Stream.
4.1 General character.
4.2 Catchment characteristics.
4.3 Streamflow hydrographs.
4.4 How does this stream measure up?
5. How to Have a Field Day and Still Collect Some Useful Information.
5.1 Venturing into the field.
5.2 Surveying: a brief introduction.
5.3 Methods of measuring areal extent.
5.4 Surveying streams.
5.5 Measurement of water level or stage.
5.6 Measurement of discharge (streamflow).
5.7 Substrates and sediments: sampling and monitoring methods.
5.8 Substrates and sediments: analysis of physical properties.
5.9 Water quality.
6. Water at Rest and in Motion.
6.1 General.
6.2 Hydrostatics: the restful nature of water.
6.3 Studying the flow of fluids.
6.4 Narrowing the focus: flow of a viscous fluid.
6.5 The microenvironment: flow near solid surfaces.
6.6 Open-channel hydraulics: the macro-environment.
7. It's Sedimentary, Watson!
7.1 Introduction to stream channels, streambeds and transported materials.
7.2 Stream-shaping processes.
7.3 The ins and outs of channel topography.
7.4 Sediment motion.
7.5 Sediment yield from a catchment.
8. Dissecting Data with a Statistical Scope.
8.1 Introduction.
8.2 Streamflow frequency analysis.
8.3 Flow-duration curves.
8.4 Flow-spell analysis.
8.5 Extrapolating from the known to the unknown.
8.6 Numerical taxonomy: multivariate analysis techniques.
Appendix 1: Basic Statistics.
References.
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