Pedestrians are a vulnerable road user group, and their crashes are generally spread
across the network rather than in a concentrated location. As such, understanding and …

The Weibull distribution is considered one of the Type-I Generalized Extreme Value (GEV)
distribution, and it plays a crucial role in modeling extreme events in various fields, such as …

Wheat is a major grain crop in China, accounting for one-fifth of the national grain
production. Drought stress severely affects the normal growth and development of wheat …

Mountain torrents are frequent and severe hazards, causing serious economic losses and
personnel casualties, and in particular, they are the most dangerous threat in the complex …

This study investigates wind speed prediction using advanced machine learning techniques,
comparing the performance of Vanilla long short-term memory (LSTM) and convolutional …

Extreme rainfall events have profound implications across various sectors, necessitating
accurate modeling to assess risks and devise effective adaptation strategies. The common …

Extreme precipitation has become more frequent and intense with time and space.
Infrastructure design tools such as Intensity-Duration-Frequency (IDF) curves still rely on …

Abstract Extreme Rainfall Events (EREs) over the North West Himalayan (NWH) region of
India have been examined for the monsoon season using the latest IMERG V07B rainfall …

Las precipitaciones máximas del norte peruano se comportan de una manera estacional,
concentrándose entre los primeros meses del año, sin embargo, pocos estudios han …

The hypothesis of stationarity is a fundamental condition for the application of the statistical
theory of extreme values, especially for climate variables. Decadal-scale fluctuations …