Global climate change and permafrost degradation have significantly heightened the risk of geological hazards in high-altitude cold regions, resulting in severe casualties and property damage, particularly in the Qinghai-Tibet Plateau of China. To mitigate the risk of geological disasters, it is crucial to identify the primary disaster-inducing factors. Therefore, to address this issue more effectively, this study proposes a spatiotemporal-scale approach for detecting disaster-inducing factors and investigates the disaster-inducing factors of geological hazards in high-altitude cold regions, using the Kanchenjunga Basin as a case study. As the world's third-highest peak, Kanchenjunga is highly sensitive to climate fluctuations. This study first integrates the frost heave model and multitemporal interferometric synthetic aperture radar techniques to monitor ascending and descending track line-of-sight deformation of the frozen active layer in the study area. Subsequently, the surface parallel flow constrained model is employed to decompose the 3-D time-series deformation of geological hazards in the basin, with remote sensing imagery and field surveys used to identify a total of 94 disaster sites. In parallel, a database of potential conditioning factors is constructed by leveraging Google Earth Engine remote sensing inversion technology and relevant data provided by the China Geological Survey. Finally, by integrating monitoring results with a database of potential geological conditioning factors, the spatiotemporal-scale approach for detecting disaster-inducing factors proposed in this study is applied to investigate the disaster-inducing factors in the Kanchenjunga Basin. The research results highlight that surface temperature is the primary driving factor of geological hazards in the Kanchenjunga Basin. This research helps bridge the data gap in the region and offers critical support for local government decision-making in disaster prevention, risk assessment, and related areas.

The storm Daniel and subsequent floods hit the Region of Thessaly (Greece) in early September 2023, causing extensive damage to the built environment (buildings, networks, and infrastructure), the natural environment (water bodies and soil), and the population (fatalities, injured, homeless, and displaced people). Additionally, the conditions and factors favorable for indirect public health impact (infectious diseases) emerged in the flood-affected communities. The factors had to do with infectious diseases from rodents and vectors, injuries, respiratory infections, water contamination, flood waste and their disposal sites as well as structural damage to buildings and the failures of infrastructure. The conditions that evolved necessitated the mobilization of the Civil Protection and Public Health agencies not only to cope with the storm and subsequent floods but also to avoid and manage indirect public health impact. The instructions provided to affected residents, health experts, and Civil Protection staff were consistent with the best practices and lessons learned from previous disasters. The emphasis should be on training actions for competent agencies, as well as education and increasing the awareness of the general population. Non-structural and structural measures should be implemented for increasing the climate resilience of infrastructures including the health care systems within a One Health approach.

Earthquakes present worldwide risk to economic and human safety. The 2023 earthquakes in T & uuml;rkiye provided a reminder of the potential for catastrophic consequences with 50,700 deaths and 15.7 million people affected. The ability to predict ground motions and infrastructure damage for earthquakes continues to be a challenging problem for scientists and engineers. Until now, estimates of ground motions have been performed empirically by looking at sparse data from past earthquakes. This approach can provide statistical information on intensity amplitudes but cannot inform site-specific ground motions essential to developing the most effective resilience. Interest has grown in large-scale computational models to simulate earthquakes at regional scale. The U.S. Department of Energy EarthQuake SIMulation (EQSIM) framework was developed for regional-scale earthquake simulations at unprecedented fidelity, taking advantage of emerging GPU-accelerated systems. This article describes the EQSIM workflow and demonstrates regional-scale simulations with the new computational capability available to scientists in their quest to mitigate future disasters.

Disasters play an important social and psychological role in society. The recent losses caused by disasters such as earthquakes, floods, and forest fires in Turkey have kept this issue on the agenda. Disaster management processes are important to prevent disasters and reduce their damage. Disaster and Emergency Assembly Areas are established to gather citizens in safe areas and meet their needs during disaster processes. Correct location selection is important for the safety of these areas and the assembly of needs. This study investigates to what extent the disaster and emergency assembly areas in Arnavutk & ouml;y, one of the highly populated districts of Istanbul, are suitable for use in disaster processes. The analytical hierarchy process (AHP), Remote Sensing (RS), and field studies were used to determine the suitability levels of the assembly areas and interpret them with samples. For this purpose, data were collected from fields and relevant institutions. Suitability analysis was performed using the parameters of distance to hazardous elements, settlement density, distance to main roads and health infrastructure, susceptibility to soil liquefaction, land cover, and slope. According to the findings, the 185 assembly areas in Arnavutk & ouml;y were categorized into 5 suitability levels. It was determined that 32% of the assembly areas had the lowest and lowest suitability levels. It is thought that the 26 assembly areas at the lowest suitability level in the district are not suitable for use during disaster processes due to various risks, so these areas should be changed urgently. For assembly areas to fulfill their purpose, they need to be introduced and prepared in terms of materials, storage areas, infrastructure, and equipment that will be needed during a disaster.