Evidence map›Paper›PMID 41502550›Full record

ArticleJournal of hydrology2024

A Watershed-Scale Multi-Approach Assessment of Design Flood Discharge Estimates used in Hydrologic Risk Analyses for Forest Road Stream Crossings and Culverts.

Sourav Mukherjee, Devendra M Amatya, John L Campbell, Landon Gryczkowski, Sudhanshu Panda, Sherri L Johnson, Kelly Elder, Anna M Jalowska, Peter Caldwell, Johnny M Grace and 2 more

Abstract read
In one paragraph

Article in Journal of hydrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sourav MukherjeeCenter for Forested Wetlands Research, Southern Research Station, USDA Forest Service, 3734 Highway 402, Cordesville, SC 29434, USA.
Devendra M AmatyaCenter for Forested Wetlands Research, Southern Research Station, USDA Forest Service, 3734 Highway 402, Cordesville, SC 29434, USA.
John L CampbellNorthern Research Station, USDA Forest Service, Durham, New Hampshire, USA.
Landon GryczkowskiNorthern Research Station, USDA Forest Service, New Hampshire, USA.
Sudhanshu PandaInstitute of Environmental Spatial Analysis, University of North Georgia, 3820 Mundy Mill Road, Oakwood, GA 30566, USA.
Sherri L JohnsonPacific Northwest Research Station, USDA Forest Service, Corvallis, OR, USA.
Kelly ElderRocky Mountain Research Station, USDA Forest Service, Fort Collins, Colorado, USA.
Anna M JalowskaOffice of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.
Peter CaldwellCenter for Forest Watershed Research, Southern Research Station, USDA Forest Service, 3160 Coweeta Lab Rd, Otto, NC 28763, USA.
Johnny M GraceCenter for Forest Watershed Research, Southern Research Station, USDA Forest Service, 1740 S. Martin.
Dariusz MłyńskiDepartment of Engineering Sanitary and Water Department, University of Agriculture in Krakow, Mickiewicza 6 21, 31-120 Krakow, Poland.
Andrzej WalegaDepartment of Engineering Sanitary and Water Department, University of Agriculture in Krakow, Mickiewicza 6 21, 31-120 Krakow, Poland.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Flood peak magnitudes and frequency estimates are key components of any effective nationwide flood risk management and flood damage abatement program. In this study, we evaluated normalized peak design discharges (

Indexed as

Flood RiskForest Service Experimental ForestsHeadwater CatchmentsHydrologic Vulnerability of CulvertNonstationary Regional Frequency AnalysisRoad-stream crossing structures

Identifiers

PMID41502550
PMCPMC12774410

What OpenQuestion holds

Textmetadata
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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.