98%
921
2 minutes
20
Multi-hazard events, characterized by the simultaneous, cascading, or cumulative occurrence of multiple natural hazards, pose a significant threat to human lives and assets. This is primarily due to the cumulative and cascading effects arising from the interplay of various natural hazards across space and time. However, their identification is challenging, which is attributable to the complex nature of natural hazard interactions and the limited availability of multi-hazard observations. This study presents an approach for identifying multi-hazard events during the past 123 years (1900-2023) using the EM-DAT global disaster database. Leveraging the 'associated hazard' information in EM-DAT, multi-hazard events are detected and assessed in relation to their frequency, impact on human lives and assets, and reporting trends. The interactions between various combinations of natural hazard pairs are explored, reclassifying them into four categories: preconditioned/triggering, multivariate, temporally compounding, and spatially compounding multi-hazard events. The results show, globally, approximately 19 % of the 16,535 disasters recorded in EM-DAT can be classified as multi-hazard events. However, the multi-hazard events recorded in EM-DAT are disproportionately responsible for nearly 59 % of the estimated global economic losses. Conversely, single hazard events resulted in higher fatalities compared to multi-hazard events. The largest proportion of multi-hazard events are associated with floods, storms, and earthquakes. Landslides emerge as the predominant secondary hazards within multi-hazard pairs, primarily triggered by floods, storms, and earthquakes, with the majority of multi-hazard events exhibiting preconditioned/triggering and multivariate characteristics. There is a higher prevalence of multi-hazard events in Asia and North America, whilst temporal overlaps of multiple hazards predominate in Europe. These results can be used to increase the integration of multi-hazard thinking in risk assessments, emergency management response plans and mitigation policies at both national and international levels.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.scitotenv.2023.169120 | DOI Listing |
Sci Rep
July 2025
Center for Wireless Networks and Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India.
Globally, the emergence of multi-hazard scenarios and cascaded disasters is significantly rising . During the 2024 monsoon in Wayanad District, Kerala, India, torrential rainfall triggered landslides, erosion, and flash floods, resulting in over 400 deaths. This prompted a study on (a) landslide initiation, (b) progression, (c) impact zones, and (d) disaster risk reduction strategies.
View Article and Find Full Text PDFActa Trop
September 2025
Population Studies Division, Bangladesh Institute of Development Studies (BIDS), Dhaka, Bangladesh. Electronic address:
Bangladesh's geographic and climatic conditions make it highly disaster-prone, increasing the vulnerability of under-five children to diarrheal infections. This study analyzed the MICS Bangladesh 2019 dataset using a multivariable logistic regression model to assess diarrhea prevalence in low, moderate, and high multi-hazard risk zones, focusing on floods, tornadoes, cyclones, and earthquakes. Diarrhea prevalence was highest in high-risk zones (7.
View Article and Find Full Text PDFSci Rep
July 2025
Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, Chongqing Jiaotong University, Chongqing, 400074, China.
Traditional statistical models for debris-flow susceptibility often overlook critical triggering mechanisms and geotechnical parameters. To address this, we propose an innovative framework that couples the Maximum Entropy (MaxEnt) statistical model with the TRIGRS physical model, which simulates transient rainfall infiltration and grid-based regional slope stability. Focusing on seven towns in Beichuan County, China, we integrated thirteen environmental factors, geotechnical parameters, and historical hazard records to build a dual-driven "statistical-physical" evaluation framework.
View Article and Find Full Text PDFSensors (Basel)
May 2025
Department of Landscape Architecture and Environmental Planning, University of California, Berkeley, CA 94720, USA.
Low-cost sensors (LCSs) emerge as a popular tool for urban micro-climate studies by offering dense observational coverage. This study evaluates the performance of PurpleAir (PA) sensors for ambient temperature monitoring-a key but underexplored aspect of their use. While widely used for particulate matter, PA sensors' temperature data remain underutilized and lack thorough validation.
View Article and Find Full Text PDFNat Commun
May 2025
Department of Physics 'Ettore Pancini', University of Naples 'Federico II', Naples, Italy.
Campi Flegrei is an active caldera in a populated area, currently experiencing significant ground uplift and seismicity. Leveraging seismicity relocations, here we obtain high resolution, 3D P- and S-wave seismic images which we combine with a tailored rock physics experiment to define key features of the caldera's structure: gas-rich reservoir below 2 km depth, deformed caprock at 1-2 km depth, and basement below 3.5 km depth.
View Article and Find Full Text PDF