Evidence map›Paper›PMID 39383168›Full record

ArticlePloS one2024

Evaluation of flood metrics across the Mississippi-Atchafalaya River Basin and their relation to flood damages.

Keith E Schilling, Elliot S Anderson, Jerry Mount, Kelly Suttles, Philip W Gassman, Natalja Cerkasova, Michael J White, Jeffrey G Arnold

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Keith E SchillingIowa Geological Survey, University of Iowa, Iowa City, Iowa, United States of America.ORCID 0000-0002-3499-220X
Elliot S AndersonIIHR-Hydroscience & Engineering, University of Iowa, Iowa City, Iowa, United States of America.ORCID 0000-0002-2841-4745
Jerry MountIIHR-Hydroscience & Engineering, University of Iowa, Iowa City, Iowa, United States of America.ORCID 0000-0002-4768-9250
Kelly SuttlesEnvironmental Defense Fund, Raleigh, North Carolina, United States of America.ORCID 0000-0001-5960-7710
Philip W GassmanCenter for Rural and Agricultural Development, Iowa State University, Ames, Iowa, United States of America.
Natalja CerkasovaTexas A&M AgriLife Research, Blackland Research and Extension Center, Temple, Texas, United States of America.ORCID 0000-0003-2894-3935
Michael J WhiteDepartment of Agriculture, Grassland Soil and Water Research Laboratory, Agricultural Research Service, U.S. Temple, Texas, United States of America.
Jeffrey G ArnoldDepartment of Agriculture, Grassland Soil and Water Research Laboratory, Agricultural Research Service, U.S. Temple, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Societal risks from flooding are evident at a range of spatial scales and climate change will exacerbate these risks in the future. Assessing flood risks across broad geographical regions is a challenge, and often done using streamflow time-series records or hydrologic models. In this study, we used a national-scale hydrological model to identify, assess, and map 16 different streamflow metrics that could be used to describe flood risks across 34,987 HUC12 subwatersheds within the Mississippi-Atchafalaya River Basin (MARB). A clear spatial difference was observed among two different classes of metrics. Watersheds in the eastern half of the MARB exhibited higher overall flows as characterized by the mean, median, and maximum daily values, whereas western MARB watersheds were associated with flood indicative of high extreme flows such as skewness, standardized streamflow index and top days. Total agricultural and building losses within HUC12 watersheds were related to flood metrics and those focused on higher overall flows were more correlated to expected annual losses (EAL) than extreme value metrics. Results from this study are useful for identifying continental scale patterns of flood risks within the MARB and should be considered a launching point from which to improve the connections between watershed scale risks and the potential use of natural infrastructure practices to reduce these risks.

Indexed as

FloodsRiversClimate ChangeHydrologyMississippiModels, Theoretical

Identifiers

PMID39383168
PMCPMC11463744

What OpenQuestion holds

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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.