Streamflow trend analysis by considering autocorrelation structure, long-term persistence, and Hurst coefficient in a semi-arid region of Iran

Title
Streamflow trend analysis by considering autocorrelation structure, long-term persistence, and Hurst coefficient in a semi-arid region of Iran
Authors
Keywords
Streamflow, Kendall Test, Precipitation Trend, Significant Autocorrelation, Hydrometric Station
Journal
THEORETICAL AND APPLIED CLIMATOLOGY
Volume 129, Issue 1-2, Pages 33-45
Publisher
Springer Nature
Online
2016-03-01
DOI
10.1007/s00704-016-1747-4

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started