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Impact of Natural Disasters on Mental Health: Evidence and Implications. [PDF]

open access: yesHealthcare (Basel)
Natural disasters are large-scale catastrophic events, and they are increasing in frequency and severity. Converging evidence indicates that the mental health consequences of disasters are extensive and are often associated with trauma and the disruption
Heanoy EZ, Brown NR.
europepmc   +2 more sources

Natural Disasters [PDF]

open access: yesDisaster Nursing and Emergency Preparedness, 2018
This book provides a detailed introduction to natural disasters and the ways in which they have had and continue to have, profound effects on human society. Natural Disasters: A Reference Handbook surveys the impact of these events on human civilization.
Koji Ichii   +3 more
openaire   +2 more sources

Evaluation of Near-Field Earthquake-Induced Pounding in Building with Friction Pendulum Bearing Considering Seismic Gap of 360 Standard [PDF]

open access: yesپژوهش‌های زیرساخت‌های عمرانی, 2023
In this paper, the effect of seismic pounding of adjacent structures on buildings isolated by double (DFPB) and triple friction pendulum bearings (TFPB) is investigated.
Ayoub Shakouri   +2 more
doaj   +1 more source

Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2023
On 15 February 2022, the city of Petrópolis in the highlands of the state of Rio de Janeiro, Brazil, received an unusually high volume of rain within 3 h (258 mm), generated by a strongly invigorated mesoscale convective system.
E. Alcântara   +31 more
doaj   +1 more source

Flash floods and landslides in the city of Recife, Northeast Brazil after heavy rain on May 25–28, 2022: Causes, impacts, and disaster preparedness

open access: yesWeather and Climate Extremes, 2023
From late May to early June 2022, 130 people died in catastrophic landslides and flash flood events triggered by exceptionally heavy rains in the states of Pernambuco, Alagoas, and Paraíba, along the coast of Northeast Brazil.
J.A. Marengo   +13 more
doaj   +1 more source

Estimating the recurrence of earthquakes with statistical methods in the city of Bingöl, Eastern Türkiye: a district-based approach

open access: yesBulletin of the Mineral Research and Exploration, 2023
This study discusses the temporal distribution of earthquake magnitudes in the city of Bingöl, near Karlıova Triple Junction. We determine the probability distributions and return periods of earthquakes for all districts of Bingöl.
Ömer Faruk Nemutlu   +2 more
doaj   +1 more source

Natural disasters: a comprehensive study using EMDAT database 1995-2022.

open access: yesPublic Health, 2023
INTRODUCTION The frequency, intensity, and geographical reach of natural disasters, fueled in part by factors such as climate change, population growth, and urbanization, have undeniably been escalating concerns around the world.
D. Tin   +4 more
semanticscholar   +1 more source

A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses

open access: yesShock and Vibration, 2022
A new model-free output-only signal processing-based damage detection procedure was carried out in this paper. First of all, a finite element model as the representative of reinforced concrete (RC) frames was constructed and subjected to a specific ...
Amir Ezzodin   +3 more
doaj   +1 more source

Do natural disasters affect economic growth? The role of human capital, foreign direct investment, and infrastructure dynamics

open access: yesHeliyon, 2023
Natural disasters do occur and have become a global problem due to increasing intensity. Developing countries are mostly affected due to natural disasters owing to a poor environment, feeble adaptation, impoverished socioeconomic conditions, poor ...
M. N. I. Khan   +4 more
semanticscholar   +1 more source

Transfer Learning for CNN-Based Damage Detection in Civil Structures with Insufficient Data

open access: yesShock and Vibration, 2022
Among various methods proposed for health monitoring of structures, deep learning-based techniques with their powerful performance have attracted considerable attention in recent years.
Mona Chamangard   +3 more
doaj   +1 more source

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