Spatial map** for multi-hazard land management in sparsely vegetated watersheds using machine learning algorithms
This study breaks new ground by develo** a multi-hazard vulnerability map for the Tensift
watershed and the Haouz plain in the Moroccan High Atlas area. The unique juxtaposition of …
watershed and the Haouz plain in the Moroccan High Atlas area. The unique juxtaposition of …
Hybrid method for rainfall-induced regional landslide susceptibility map**
Landslide susceptibility maps can provide important information for managing regional
landslide risks. Traditionally, data-driven and physically-based models are widely used for …
landslide risks. Traditionally, data-driven and physically-based models are widely used for …
Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning
Abstract The Garhwal and Kumaun regions of the Himalayas of India have experienced
rapid urbanisation due to the expansion of the national highway (NH-58) in Uttarakhand …
rapid urbanisation due to the expansion of the national highway (NH-58) in Uttarakhand …
An integrated strategy for evaluating flood susceptibility combining deep neural networks with biologically inspired meta-heuristic algorithms
J Hao, H Li, C Zhang, F Zhang, D Liu, L Mao - International Journal of …, 2024 - Elsevier
Predicting the likelihood of future flooding remains a challenging problem due to diverse
hydrological conditions and heightened flood vulnerability. Previous flood susceptibility …
hydrological conditions and heightened flood vulnerability. Previous flood susceptibility …