Estimation of drainage density from topological variables

Estimation of drainage density from topological variables Existing methods for the estimation of drainage density are generally inadequate, being either laborious or expensive or of low effectiveness. Methods are examined by which grid square drainage density may be estimated from topological variables, a sample of 400 grid squares from Devon, England, being used in the study. Principal components analysis of these data yields interpretable components that allow prediction of 82% of the total variation in stream length, employing a multiple relationship. A simple regression relationship affords prediction of 68% of the variation in stream length. The mode of sampling employed and the use of polynomial regression do not markedly change the effectiveness of these relationships, and sufficient published work exists to suggest that the method may be widely applicable. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Estimation of drainage density from topological variables

Water Resources Research, Volume 15 (4) – Aug 1, 1979

Loading next page...
 
/lp/wiley/estimation-of-drainage-density-from-topological-variables-263txJ9Qvd
Publisher
Wiley
Copyright
Copyright © 1979 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
D.O.I.
10.1029/WR015i004p00909
Publisher site
See Article on Publisher Site

Abstract

Existing methods for the estimation of drainage density are generally inadequate, being either laborious or expensive or of low effectiveness. Methods are examined by which grid square drainage density may be estimated from topological variables, a sample of 400 grid squares from Devon, England, being used in the study. Principal components analysis of these data yields interpretable components that allow prediction of 82% of the total variation in stream length, employing a multiple relationship. A simple regression relationship affords prediction of 68% of the variation in stream length. The mode of sampling employed and the use of polynomial regression do not markedly change the effectiveness of these relationships, and sufficient published work exists to suggest that the method may be widely applicable.

Journal

Water Resources ResearchWiley

Published: Aug 1, 1979

References

  • Morphometry and floods in small drainage basins subject to diverse hydrogeomorphic controls
    Patton, Patton; Baker, Baker
  • Prediction of drainage density from surrogate measures
    Richards, Richards
  • The use of the square grid system for computer estimation of precipitation, temperature, and runoff
    Soloman, Soloman; Denouvilliez, Denouvilliez; Chart, Chart; Woolley, Woolley; Cadou, Cadou

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off