Landslides are the most destructive geological hazard in the hilly regions. For systematic
landslide mitigation and management, landslide evaluation and hazard zonation is required …

The Himalayan region and hilly areas face severe challenges due to landslide occurrences
during the rainy seasons in India, and the study area, ie, the Rudraprayag district, is no …

With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …

Flood risk map** and modeling is important to prevent urban flood damage. In this study,
a flood risk map was produced with limited hydrological and hydraulic data using two state …

A new artificial intelligence (AI) model, called Bagging-LMT-a combination of bagging
ensemble and Logistic Model Tree (LMT)-is introduced for map** flood susceptibility. A …

Increase in urban flood hazards has become a major threat to cities, causing considerable
losses of life and in the economy. To improve pre-disaster strategies and to mitigate …

Statistical and now machine learning prediction methods have been gaining popularity in
the field of landslide susceptibility modeling. Particularly, these data driven approaches …

Flooding is the overflow of water from stream, river, lake and sea that occurs all over the
world and has disastrous effects on human society and environment. Frequent severe flood …

Urban flood risk map** plays a decisive role in urban management and planning,
especially in reducing flood damages. In this study, a flood risk map was produced for …

The main objective of the present study was to compare the performance of a classifier that
implements the Logistic Regression and a classifier that employs a Naïve Bayes algorithm in …