4.5 Article

Classification of drainage network types in the arid and semi-arid regions of Arizona and California

Journal

JOURNAL OF ARID ENVIRONMENTS
Volume 144, Issue -, Pages 60-73

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jaridenv.2017.04.013

Keywords

Pinnate networks; Parallel networks; Preexisting slopes; Self-similar; Self-affine

Funding

  1. Advanced Water Management Research Program - Ministry of Land, Infrastructure and Transport of Korean government [14AWMP-B082564-01]

Ask authors/readers for more resources

The present study aims to classify channel network types in arid and semi-arid regions and to determine whether pinnate networks occur in these areas by using scaling invariance measures. The average slope of the preexisting topographic surface is also studied to identify whether the slope affects the development of drainage networks in such arid and semi-arid regions. Twenty channels in the states of Arizona and California, USA, were analyzed. In this study, the measures used to classify drainage networks and to obtain the Hurst exponent are the drainage area increments, the channel course irregularity, and the tributary junction angles. The average slope of the preexisting surfaces is calculated from sub-watershed areas that are small and topographic curvatures that are close to zero. For all channels, the Hurst exponent is less than 0.91 which indicates that networks seem to be self-affine instead of self similar. These channels present pinnate or parallel networks although the associated preexisting slope is below 3%. Such observations suggest that the preexisting slope does not have a significant influence on the development of pinnate networks in these arid and semi-arid regions. (C) 2017 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available