Earth fissure hazard prediction using machine learning models
Earth fissures are the cracks on the surface of the earth mainly formed in the arid and the
semi-arid basins. The excessive withdrawal of groundwater, as well as the other …
semi-arid basins. The excessive withdrawal of groundwater, as well as the other …
Robust responses of typhoon hazards in northern Japan to global warming climate: cases of landfalling typhoons in 2016
In August 2016, an unusual occurrence of the landfall of four typhoons in northern Japan
caused severe and widespread damage by excessive rainfall and high wind. This study …
caused severe and widespread damage by excessive rainfall and high wind. This study …
Dynamical downscaling of Typhoon Lionrock (2016) for assessing the resulting hazards under global warming
Typhoons are considered as one of the most powerful disaster-spawning weather
phenomena. Recent studies have revealed that typhoons will be stronger and more …
phenomena. Recent studies have revealed that typhoons will be stronger and more …
Mapping and analyzing the evolution of the butangbunasi landslide using landsat time series with respect to heavy rainfall events during typhoons
Large rainfall-induced landslides are among the most dangerous natural hazards in Taiwan,
posing a risk for people and infrastructure. Thus, better knowledge about the evolution of …
posing a risk for people and infrastructure. Thus, better knowledge about the evolution of …
Spatiotemporal variations and risk analysis of Chinese typhoon disasters
F Chen, H Jia, E Du, L Wang, N Wang, A Yang - Sustainability, 2021 - mdpi.com
Typhoons are a product of air-sea interaction, which are often accompanied by high winds,
heavy rains, and storm surges. It is significant to master the characteristics and pattern of …
heavy rains, and storm surges. It is significant to master the characteristics and pattern of …
Damage analysis of retired typhoons in mainland China from 2009 to 2019
C Wan, Y Yan, L Shen, J Liu, X Lai, W Qian, J Nie… - Natural Hazards, 2023 - Springer
Typhoon catastrophes can seriously threaten national and regional security and
development. How to quantitatively portray the spatiotemporal characteristics and the …
development. How to quantitatively portray the spatiotemporal characteristics and the …
An impact study of GNSS RO data on the prediction of Typhoon Nepartak (2016) using a multiresolution global model with 3D-hybrid data assimilation
Conventional soundings are rather limited over the western North Pacific and can be largely
compensated by GNSS radio occultation (RO) data. We utilize the GSI hybrid assimilation …
compensated by GNSS radio occultation (RO) data. We utilize the GSI hybrid assimilation …
Quantitative estimations of hazards resulting from Typhoon Chanthu (2016) for assessing the impact in current and future climate
Many recent studies have argued that tropical cyclones will become severer in future
warming climate and may cause various catastrophic damages to human life and econ‐omy …
warming climate and may cause various catastrophic damages to human life and econ‐omy …
Bayesian typhoon precipitation prediction with a mixture of ensemble forecast-based and historical event-based prediction functions
YJ Huang, YY Lee, HL Chang, C Wang, JS Hong… - Journal of …, 2024 - Elsevier
Statistical post-processing has been widely adopted in probabilistic forecasting, especially
when a predictive distribution of weather variables is of interest. Among the available post …
when a predictive distribution of weather variables is of interest. Among the available post …
County-scale dataset indicating the effects of disasters on crops in Taiwan from 2003 to 2022
YC Su, Y Shen, CY Wu, BJ Kuo - Scientific data, 2024 - nature.com
A lack of crop disaster datasets has limited the exploration of the influence of small-scale
disasters on crops. Because disasters are often defined on the basis of human impact …
disasters on crops. Because disasters are often defined on the basis of human impact …