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An empirical assessment of which inland floods can be managed

Overview of attention for article published in Journal of Environmental Management, November 2015
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Title
An empirical assessment of which inland floods can be managed
Published in
Journal of Environmental Management, November 2015
DOI 10.1016/j.jenvman.2015.10.044
Pubmed ID
Authors

Beatriz Mogollón, Emmanuel A. Frimpong, Andrew B. Hoegh, Paul L. Angermeier

Abstract

Riverine flooding is a significant global issue. Although it is well documented that the influence of landscape structure on floods decreases as flood size increases, studies that define a threshold flood-return period, above which landscape features such as topography, land cover and impoundments can curtail floods, are lacking. Further, the relative influences of natural versus built features on floods is poorly understood. Assumptions about the types of floods that can be managed have considerable implications for the cost-effectiveness of decisions to invest in transforming land cover (e.g., reforestation) and in constructing structures (e.g., storm-water ponds) to control floods. This study defines parameters of floods for which changes in landscape structure can have an impact. We compare nine flood-return periods across 31 watersheds with widely varying topography and land cover in the southeastern United States, using long-term hydrologic records (≥20 years). We also assess the effects of built flow-regulating features (best management practices and artificial water bodies) on selected flood metrics across urban watersheds. We show that landscape features affect magnitude and duration of only those floods with return periods ≤10 years, which suggests that larger floods cannot be managed effectively by manipulating landscape structure. Overall, urban watersheds exhibited larger (270 m(3)/s) but quicker (0.41 days) floods than non-urban watersheds (50 m(3)/s and 1.5 days). However, urban watersheds with more flow-regulating features had lower flood magnitudes (154 m(3)/s), but similar flood durations (0.55 days), compared to urban watersheds with fewer flow-regulating features (360 m(3)/s and 0.23 days). Our analysis provides insight into the magnitude, duration and count of floods that can be curtailed by landscape structure and its management. Our findings are relevant to other areas with similar climate, topography, and land use, and can help ensure that investments in flood management are made wisely after considering the limitations of landscape features to regulate floods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Italy 1 1%
South Africa 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Student > Master 12 17%
Researcher 10 14%
Student > Bachelor 6 8%
Professor 5 7%
Other 7 10%
Unknown 15 21%
Readers by discipline Count As %
Environmental Science 20 28%
Engineering 11 15%
Agricultural and Biological Sciences 7 10%
Social Sciences 4 6%
Earth and Planetary Sciences 3 4%
Other 6 8%
Unknown 20 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2016.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Journal of Environmental Management
#5,061
of 6,438 outputs
Outputs of similar age
#289,202
of 392,797 outputs
Outputs of similar age from Journal of Environmental Management
#35
of 49 outputs
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So far Altmetric has tracked 6,438 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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