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Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America

Overview of attention for article published in Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, November 2013
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Title
Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America
Published in
Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences, November 2013
DOI 10.1098/rsta.2012.0408
Pubmed ID
Authors

Charles J. Vrsmarty, Lelys Bravo de Guenni, Wilfred M. Wollheim, Brian Pellerin, David Bjerklie, Manoel Cardoso, Cassiano D'Almeida, Pamela Green, Lilybeth Colon

Abstract

Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960-2000). We define and map extreme precipitation hazard, exposure, affectedpopulations, vulnerability and risk, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Germany 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 147 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Researcher 24 16%
Student > Master 24 16%
Student > Doctoral Student 10 6%
Student > Postgraduate 7 5%
Other 34 22%
Unknown 22 14%
Readers by discipline Count As %
Environmental Science 42 27%
Earth and Planetary Sciences 26 17%
Engineering 16 10%
Social Sciences 13 8%
Agricultural and Biological Sciences 6 4%
Other 22 14%
Unknown 29 19%
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 01 December 2014.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#2,957
of 3,637 outputs
Outputs of similar age
#161,667
of 224,681 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society A: Mathematical, Physical & Engineering Sciences
#32
of 35 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 15th percentile – i.e., 15% 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 224,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.