This monograph sets forth a unified approach and principles for modeling hydrologic processes distributed in space and time using geographic information systems (GIS). The focus of this Second Edition is on the principles of how to implement a distributed model using geospatial data to simulate hydrologic processes. Once we embark on fully distributed representations of hydrologic processes, conservation laws form the basis for modeling, and spatial data management becomes necessary. A physics-based approach involves the laws that govern the complexities of all the paths that water travels, from precipitation falling over a river basin to the flow in the river. Worldwide geospatial data has become readily available in GIS format. A modeling approach that can utilize this data for hydrology offers many possibilities. GIS data formats, spatial interpolation, and resolution have important effects on hydrologic simulation of the major hydrologic components of a watershed. Examples are provided that illustrate how to represent a watershed with spatially distributed data along with the many pitfalls inherent in such an undertaking. Since the First Edition, software development and applications have created a richer set of examples, and a deeper understanding of how to perform distributed hydrologic analysis and prediction. This Second Edition is oriented towards a commercially available distributed model called Vflo™.
FREE Two-Day Shipping for students on millions of items. Learn more |
| ||||||||||||
Book Description
Editorial Reviews
Review
From the Foreword Second Edition: "All of the above make this a unique, invaluable book for the student, professor, or hydrologist seeking to acquire a thorough understanding of this area of hydrology" Philip B. Bedient, Rice University, Texas, USA From the reviews: "Although this book is generally concerned with surface runoff and flood periods, the conceptions and methods, as well as the method of utilizing GIS for distributed models, are remakably useful. Careful study of this excellent book will help achieve understanding of GIS-based distributed modelling, and it is highly recommended to students, teachers, researchers, and engineers involved in hydrology, water resources, and environmental Sciences." (Bulletin of the American Meteological Society, May 2002)
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
4 of 5 people found the following review helpful:
5.0 out of 5 stars
Masterfully addresses current state of hydrologic modeling,
By
This review is from: Distributed Hydrologic Modeling Using GIS (Water Science and Technology Library, Volume 38) (Hardcover)
This book is a must read for those interested in understanding the recent changes in the field of hydrologic modeling - changes that will shape the future of the field. Distributed modeling is addressed from the ground up, clearly showing the science behind the tools. It is an essential part of a hydrologic modeler's library and an excellent student's text. I wholeheartedly recommend it.
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
First Sentence:
An ongoing debate within the hydrology community, both practitioners and researchers, is how to construct a model that best represents the Earth's hydrologic processes. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
kinematic wave analogy, radar accumulations, overland flow cells, deterministic length scale, hydraulic roughness coefficients, distributed hydrologic modeling, random roughness values, drainage network extraction, wetting front suction head, precipitation processing, gauge accumulations, overland flow areas, distributed hydrologic models, hydrologic prediction, deterministic variability, drainage length, infiltration routine, infiltration parameters, potential infiltration rate, fractal scaling law, adjoint model, radar rainfall, hydrograph response, reflectivity factor, land surface slope Key Phrases - Capitalized Phrases (CAPs): (learn more)
Main Street, Brays Bayou, Blue River, Illinois River, Ness York, Army Corps of Engineers, Water Resour, National Weather Service, Houston Texas, American Geophysical Union, New York, United States, Department of Commerce, Van Mullem, Channel Routing Solver, Civil Engineering, Computational Mechanics, General Assembly, Geographic Information Analysis, Kluwer Academic Publishers, Las Vegas, Michigan State, Network Statistics, North Carolina, Regularised Spline New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
An ongoing debate within the hydrology community, both practitioners and researchers, is how to construct a model that best represents the Earth's hydrologic processes. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
kinematic wave analogy, radar accumulations, overland flow cells, deterministic length scale, hydraulic roughness coefficients, distributed hydrologic modeling, random roughness values, drainage network extraction, wetting front suction head, precipitation processing, gauge accumulations, overland flow areas, distributed hydrologic models, hydrologic prediction, deterministic variability, drainage length, infiltration routine, infiltration parameters, potential infiltration rate, fractal scaling law, adjoint model, radar rainfall, hydrograph response, reflectivity factor, land surface slope Key Phrases - Capitalized Phrases (CAPs): (learn more)
Main Street, Brays Bayou, Blue River, Illinois River, Ness York, Army Corps of Engineers, Water Resour, National Weather Service, Houston Texas, American Geophysical Union, New York, United States, Department of Commerce, Van Mullem, Channel Routing Solver, Civil Engineering, Computational Mechanics, General Assembly, Geographic Information Analysis, Kluwer Academic Publishers, Las Vegas, Michigan State, Network Statistics, North Carolina, Regularised Spline New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 23
books:
See all 23 books this book cites
- Calibration of Watershed Models (Water Science and Application, 6) by Qingyun Duan on 4 pages
- Hydrologic Modeling by Environment, Ecology, Socio-economics, and Health Engineering (1999 : Soul Taehakkyo) International Conference on Water in Front Matter, Back Matter (1), and Back Matter (2)
- Computational Methods in Water Resources by R.J. Schotting in Back Matter
- Hydraulic Modeling by Environment, Ecology, Socio-economics, and Health Engineering (1999 : Soul Taehakkyo) International Conference on Water on page 176
- Applied Finite Element Analysis by Larry J. Segerlind on page 195
See all 23 books this book cites
Tag this product(What's this?)Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items. |
Sell a Digital Version of This Book in the Kindle Store
If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store.
Learn more
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
Listmania!
So You'd Like to...
Look for Similar Items by Category
- Books > New & Used Textbooks > Science & Mathematics > Earth Sciences
- Books > New & Used Textbooks > Science & Mathematics > Environmental Studies
- Books > Professional & Technical > Engineering
- Books > Science & Math > Earth Sciences > Environmental Science
- Books > Science & Math > Earth Sciences > Geology
- Books > Science & Math > Earth Sciences > Rivers
- Books > Science & Math > Environment > Weather
