Evidence map›Paper›PMID 34976403›Full record

ArticleWater2021

Implementing an Operational Framework to Develop a Streamflow Duration Assessment Method: A Case Study from the Arid West United States.

Raphael D Mazor, Brian J Topping, Tracie-Lynn Nadeau, Ken M Fritz, Julia E Kelso, Rachel A Harrington, Whitney S Beck, Kenneth S McCune, Aaron O Allen, Robert Leidy and 2 more

Open access · goldAbstract read
In one paragraph

Article in Water, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Detecting Streamflow in Dryland Rivers Using CubeSats.Geophysical research letters · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Raphael D MazorSouthern California Coastal Water Research Project, Costa Mesa, CA 92626, USA.ORCID 0000-0003-2439-3710
Brian J ToppingOffice of Wetlands, Oceans, and Watersheds, U.S. Environmental Protection Agency, Washington, DC 20460, USA.
Tracie-Lynn NadeauRegion 10, U.S. Environmental Protection Agency, Portland, OR 97205, USA.
Ken M FritzCenter for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH 45268, USA.ORCID 0000-0002-3831-2531
Julia E KelsoOffice of Wetlands, Oceans, and Watersheds, U.S. Environmental Protection Agency, Washington, DC 20460, USA.
Rachel A HarringtonRegion 8, U.S. Environmental Protection Agency, Denver, CO 80202, USA.
Whitney S BeckOffice of Wetlands, Oceans, and Watersheds, U.S. Environmental Protection Agency, Washington, DC 20460, USA.
Kenneth S McCuneSouthern California Coastal Water Research Project, Costa Mesa, CA 92626, USA.
Aaron O AllenLos Angeles District, U.S. Army Corps of Engineers, Los Angeles, CA 90017, USA.
Robert LeidyRegion 9, U.S. Environmental Protection Agency, San Francisco, CA 94105, USA.
James T RobbSacramento District, U.S. Army Corps of Engineers, Sacramento, CA 95814, USA.
Gabrielle C L DavidEngineer Research and Development Center Cold Regions Research and Engineering Laboratory U.S. Army Corps of Engineers, Hanover, NH 03755, USA.
Environmental Protection Agency · USUnited States Army Corps of Engineers · USSouthern California Coastal Water Research Project · USCalifornia Environmental Protection Agency · USOak Ridge Associated Universities · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Streamflow duration information underpins many management decisions. However, hydrologic data are rarely available where needed. Rapid streamflow duration assessment methods (SDAMs) classify reaches based on indicators that are measured in a single brief visit. We evaluated a proposed framework for developing SDAMs to develop an SDAM for the Arid West United States that can classify reaches as perennial, intermittent, or ephemeral. We identified 41 candidate biological, geomorphological, and hydrological indicators of streamflow duration in a literature review, evaluated them for a number of desirable criteria (e.g., defensibility and consistency), and measured 21 of them at 89 reaches with known flow durations. We selected metrics for the SDAM based on their ability to discriminate among flow duration classes in analyses of variance, as well as their importance in a random forest model to predict streamflow duration. This approach resulted in a "beta" SDAM that uses five biological indicators. It could discriminate between ephemeral and non-ephemeral reaches with 81% accuracy, but only 56% accuracy when distinguishing 3 classes. A final method will be developed following expanded data collection. This Arid West study demonstrates the effectiveness of our approach and paves the way for more efficient development of scientifically informed SDAMs.

Indexed as

classificationephemeralflow durationflow permanenceintermittencyintermittentperennialrapid assessmentstreamstemporary

Identifiers

PMID34976403
PMCPMC8715911
OpenAlexW3217443384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.