Important message: Due to recent site outage we are still restoring full functionality to Authorea powered sites. Please bear with us until full functionality is restored

loading page

Temporal Configuration -- Unlocking Hidden Streamflow Properties
  • Richard Koehler
Richard Koehler
Visual Data Analytics LLC

Corresponding Author:[email protected]

Author Profile

Abstract

Analytical tools are needed to identify and quantify artificial short- and long-term discharge fluctuations, which can disrupt the natural processes of a river. To measure the properties of discharge magnitude, frequency, duration, timing and flow change, such tools typically use a subset of metrics selected from over 170 descriptive statistical indices. Many metrics are based on multi-day mean or median discharges with associated variance or use a single value to describe the entire dataset. However, these source indices do not quantify the temporal configuration of streamflow, an additional hydrologic property that is often overlooked. To address this situation, a non-index approach to quantify all streamflow properties has now been developed using analysis methods based on the lag (1) temporal autocorrelation signature of the streamflow. The discharge (Q), discharge change (dQ/dt), and rate of discharge change (d 2Q/dt 2), along with sequential summations, are presented in novel infographics. A dam release river impact case study for the Colorado River at Lees Ferry, Arizona, is included to demonstrate this innovative way of analyzing streamflow datasets. The result is a set of new tools which yield detailed information about the hydrologic regime, are highly customizable, and can either be used as a stand-alone analysis or be integrated into other existing data analysis techniques. The end result is a better understanding of the hydrologic regime, more focused research, and more effective management planning.
21 Mar 2023Submitted to Ecohydrology
21 Mar 2023Submission Checks Completed
21 Mar 2023Assigned to Editor
27 Mar 2023Review(s) Completed, Editorial Evaluation Pending
09 Apr 2023Reviewer(s) Assigned
11 May 2023Editorial Decision: Revise Major
23 Jun 20231st Revision Received
30 Jun 2023Submission Checks Completed
30 Jun 2023Assigned to Editor
30 Jun 2023Review(s) Completed, Editorial Evaluation Pending
01 Jul 2023Reviewer(s) Assigned
13 Sep 2023Editorial Decision: Accept