Alluvial fans are an important land resource in the Qinghai-Tibet Plateau with expansion of human activities. However, factors alluvial fan development poorly understood. According to our previous investigation and research, approximately 826 exist Lhasa River Basin (LRB). The main purpose this work is identify influencing by using machine learning. A index (Di) was created combining its area, ...

Abstract Increasing resilience to natural hazards and climate change is critical for achieving many Sustainable Development Goals (SDGs). In recent decades, China has experienced rapid economic development became the second-largest economy in world. This expansion led large-scale changes terrestrial (e.g., land use cover changes), aquatic construction of reservoirs artificial wetlands) marine r...

Landslides have been classified as the most dangerous threat around world, causing huge damage to properties and loss of life. Increased human activity in landslide-prone areas has a major contributor risk landslide occurrences. Therefore, machine learning used studies develop predictive model. The main objective this study is evaluate suitable sampling ratio for model Langat River Basin (LRB) ...

The Limpopo River basin (LRB) is known for its vulnerability to floods, high rates of evapotranspiration, and droughts that cause significant losses the local community. present study aimed perform simulations flood events occurring in two Mozambican sub-basins LRB, namely Chókwè Xai-Xai from 2000 2015 with TOPography-based hydrological MODEL (TOPMODEL) satellite remote sensing data. As input T...

El notable comportamiento de los puentes sísmicamente aislados en Sudamérica durante dos últimos grandes eventos sísmicos, se ha visto reflejado el aumento del uso aisladores base este tipo infraestructuras. En trabajo, un puente no aislado varios tramos fue reacondicionado para alcanzar una funcionalidad continua mediante la adopción dispositivos aislamiento sísmico. Con objetivo realizar eval...