Modeling Hydrologic Change
eBook - PDF

Modeling Hydrologic Change

Statistical Methods

  1. 448 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Modeling Hydrologic Change

Statistical Methods

About this book

Modeling hydrologic changes and predicting their impact on watersheds is a dominant concern for hydrologists and other water resource professionals, civil and environmental engineers, and urban and regional planners. As such changes continue, it becomes more essential to have the most up-to-date tools with which to perform the proper analyses and m

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Yes, you can access Modeling Hydrologic Change by Richard H. McCuen in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
eBook ISBN
9781420032192
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics
8
Modeling 
Hydrologic 
Change: 
Statistical 
Methods
1-5
What 
model 
components 
would 
be 
necessary 
for 
a 
model 
to 
be 
capable 
of
simulating 
the 
effects 
of 
watershed 
change?
1-6
For 
a 
150-acre 
watershed, 
how 
might 
the 
installation 
of 
numerous 
small
stormwater-detention 
basins 
influence 
the 
flood 
record, 
including 
both 
peak
discharges 
and 
baseflow?
1-7
How 
might 
the 
effects 
of 
urbanization 
on 
a 
flood 
record 
be 
detected 
if 
specic
knowledge 
of 
the 
timing 
and 
location 
of 
gradual 
watershed 
changes 
were
not 
available?
1-8
Discuss 
how 
an 
outlier 
due 
to 
a 
hurricane-generated 
flood 
might 
make 
it 
difcult
to 
detect 
the 
hydrologic 
effects 
of 
gradual 
urbanization 
of 
a 
watershed.
1-9
What 
effect 
would 
gradual, 
natural 
afforestation 
have 
on 
a 
record 
of 
annual-
maximum 
flood 
hydrographs 
over 
a 
period 
of 
20 
years? 
Discuss 
effects 
on
the 
hydrograph 
characteristics, 
not 
only 
effects 
on 
the 
peak.

Table of contents

  1. Front cover
  2. Preface
  3. The Author
  4. Acknowledgments
  5. Contents
  6. Chapter 1. Data, Statistics, and Modeling
  7. Chapter 2. Introduction to Time Series Modeling
  8. Chapter 3. Statistical Hypothesis Testing
  9. Chapter 4. Outlier Detection
  10. Chapter 5. Statistical Frequency Analysis
  11. Chapter 6. Graphical Detection of Nonhomogeneity
  12. Chapter 7. Statistical Detection of Nonhomogeneity
  13. Chapter 8. Detection of Change in Moments
  14. Chapter 9. Detection of Change in Distribution
  15. Chapter 10. Modeling Change
  16. Chapter 11. Hydrologic Simulation
  17. Chapter 12. Sensitivity Analysis
  18. Chapter 13. Frequency Analysis Under Nonstationary Land Use Conditions
  19. Appendix A: Statistical Tables
  20. Appendix B: Data Matrices
  21. References
  22. Index
  23. Back cover