Logo - springer
Slogan - springer

Earth Sciences & Geography - Hydrogeology | Quantitative Information Fusion for Hydrological Sciences

Quantitative Information Fusion for Hydrological Sciences

Cai, Xing, Jim Yeh, T.-C. (Eds.)

2008, IX, 218 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$159.00

(net) price for USA

ISBN 978-3-540-75384-1

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$209.00

(net) price for USA

ISBN 978-3-540-75383-4

free shipping for individuals worldwide

The book title is in reprint. You can already preorder it.


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$209.00

(net) price for USA

ISBN 978-3-642-09461-3

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Superb overview of the topic
  • Covers crucial areas and looks forward to future trends
In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and
envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.
Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed.

Content Level » Research

Keywords » Groundwater - Hydrological Sciences - Quantitative Information Fusion - hydrogeology - hydrology - modeling - numerical methods

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Environmental Science & Engineering - Hydrogeology - Hydrology and Water Resources

Table of contents / Preface 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Hydrogeology.