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Flood risk assessments at different spatial scales

Overview of attention for article published in Mitigation and Adaptation Strategies for Global Change, May 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 policy source
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562 Mendeley
Title
Flood risk assessments at different spatial scales
Published in
Mitigation and Adaptation Strategies for Global Change, May 2015
DOI 10.1007/s11027-015-9654-z
Pubmed ID
Authors

H. de Moel, B. Jongman, H. Kreibich, B. Merz, E. Penning-Rowsell, P. J. Ward

Abstract

Managing flood risk, i.e. both the hazard and the potential consequences, is an important aspect of adapting to global change and has gained much traction in recent decades. As a result, a priori flood risk assessments have become an important part of flood management practices. Many methodologies have been set up, ranging from global risk assessments for the world as a whole, to local assessments for a particular stretch of a river/coast or small town. Most assessment frameworks generally follow a similar approach, but there are also notable differences between assessments at different spatial scales. This review article examines these differences, for instance those related to the methodology, use of assessments and uncertainties. From this review, future research needs are identified in order to improve flood risk assessments at different scales. At global/continental scale, there is a clear need for harmonised information on flood defences to improve assessments. Furthermore, inclusions of indirect economic effects at the macro-/meso-scale would give a better indication of the total effects of catastrophic flooding. At the meso-/micro-scale, there is an urgent need to improve our understanding of the effects of flooding on critical infrastructures, given their importance to society, the economy, emergency management and reconstruction. An overarching theme at all scales is the validation of flood risk assessments, which is often limited. More detailed post-disaster information would allow for improved calibration, validation and thus performance of flood risk models. Lastly, the link between spatial scales also deserves attention, for instance up- or downscaling methodologies.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 562 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United Kingdom 1 <1%
Austria 1 <1%
Canada 1 <1%
Unknown 557 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 118 21%
Student > Master 88 16%
Researcher 67 12%
Student > Bachelor 36 6%
Student > Doctoral Student 24 4%
Other 80 14%
Unknown 149 27%
Readers by discipline Count As %
Engineering 128 23%
Environmental Science 105 19%
Earth and Planetary Sciences 82 15%
Social Sciences 19 3%
Economics, Econometrics and Finance 18 3%
Other 40 7%
Unknown 170 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 December 2019.
All research outputs
#6,696,840
of 23,906,448 outputs
Outputs from Mitigation and Adaptation Strategies for Global Change
#434
of 688 outputs
Outputs of similar age
#76,523
of 270,845 outputs
Outputs of similar age from Mitigation and Adaptation Strategies for Global Change
#3
of 8 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,845 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.