Central America is known for its high risk of disasters due to various physical, economic, and sociocultural factors.
Prediction and Mitigation of Natural Hazards
As the climate emergency intensifies, natural hazards are becoming a feature of daily life for more and more people across the globe. Simply picking up the pieces after a natural disaster is not enough: vulnerable communities and populations need systems, tools and policies to predict natural hazards and mitigate their risks. Developing these solutions requires careful integration of diverse forms of data, from simulations and experimental measurements to surveys and qualitative studies, as well as expertise, perspectives and lessons learned from different intellectual disciplines.
The PLOS ONE editors, together with guest editors Auroop Ganguly, Renata Libonati, Janna Metzler, and Markus Ries, present a collection of papers on the topic of prediction and mitigation of natural hazards, with particular focus on flooding and heatwaves, as well as discussion of socioeconomic factors and impacts on human health.
Image Credit: People wearing boots by Jonfordphotos, Unsplash
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PLOS ONE Factors causing emergency medical care overload during heatwaves: A Delphi study
Heatwaves pose an important risk for population health and are associated with an increased demand for emergency care. To find factors…
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PLOS ONE Modeling the potential impact of storm surge and sea level rise on coastal archaeological heritage: A case study from Georgia
Climate change poses great risks to archaeological heritage, especially in coastal regions. Preparing to mitigate these challenges…
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PLOS ONE Twenty-first-century demographic and social inequalities of heat-related deaths in Brazilian urban areas
Population exposure to heat waves (HWs) is increasing worldwide due to climate change, significantly affecting society, including public…
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PLOS ONE Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka
Hydrologic models to simulate river flows are computationally costly. In addition to the precipitation and other meteorological time…
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Northeastern University Auroop Ganguly
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Universidade Federal do Rio De Janeiro Renata Libonati
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Columbia University Janna Metzler
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University of Heidelberg Markus Ries