Results 231 to 240 of about 159,716 (337)

Geographical Distribution and Socio‐Economic Importance of Raphia ruwenzorica From South‐West of Burundi

Plant-Environment Interactions, Volume 7, Issue 1, February 2026.
ABSTRACT The genus Raphia is among the commonly used and socio‐economically important plants in Africa. While Raphia ruwenzorica species is known to occur in Burundi, eastern Democratic Republic of Congo, Rwanda, and Uganda, its geographical distribution and socioeconomic importance are poorly documented in Burundi. This study maps R.
Jacques Nkengurutse, John Maina Nyongesa, Eric Nimubona, Gaëlle Ndayizeye, Anatole Bukuru, Rosette Irampagarikiye, Marie Violette Niyonsaba, Longin Ndayikeza, Kamaguru Bienvenu Imani, Jérémie Ngezahayo, Yuelin Li   +10 more
wiley   +1 more source

Damage Evolution Characteristics of Anti-Slide Piles in Loess Landslides and a Possible Characterization Method. [PDF]

Sensors (Basel)
Zhao T, Yang W, Zheng S, Li X, Lu Z.
europepmc   +1 more source

Geomorphological, pedological and dendrochronological signatures of a relict landslide terrain, Mt Garbatka (Kamienne Mts), SW Poland

, 2014
Piotr Migoń, Andrzej Kacprzak, Ireneusz Malik, Marek Kasprzak, Piotr Owczarek, Małgorzata Wistuba, Tomáš Pánek   +6 more
openalex   +2 more sources

A biodegradable polylactic acid–polybutylene adipate terephthalate–starch polymer blend for geotextile applications

Polymer International, Volume 75, Issue 2, Page 111-120, February 2026.
Biodegradable polymer blends are environmentally friendly materials with the ability to tailor material properties according to requirements. Abstract Geotextiles are typically used to stabilize steep earthen structures to prevent landslides. Usually, such geotextiles are made from petrol‐based polymers (such as polypropylene), but the use of ...
Michael Cordin, Carolin Gleissner, Barbara Fahrngruber, Martin Kozich, Thomas Bechtold, Tung Pham   +5 more
wiley   +1 more source

A comprehensive analysis of multiple factors affecting the impact pressure generated by landslide wave on underwater pipelines in shallow sea areas. [PDF]

Sci Rep
Ji H, Shao B, Liu W, Yang K, Xing Z.
europepmc   +1 more source

Insights into landslide susceptibility: a comparative evaluation of multi-criteria analysis and machine learning techniques [PDF]

Zuleide Alves Ferreira, Bruna Almeida, Ana Cristina Costa, Manoel do Couto Fernandes, Pedro Cabral   +4 more
openalex   +1 more source

Experimental Verification of a Two‐Dimensional Inverse Method for Turbidity Currents Using a Deep Neural Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Turbidites have been widely studied as indicators of the occurrences and magnitudes of paleo‐tsunamis and paleo‐earthquakes. Inversion to estimate flow conditions from turbidites offers valuable insights into the magnitudes of paleo‐seismic and tsunami events.
Seiya Fujishima, Hajime Naruse
wiley   +1 more source

D2FLS-Net: Dual-Stage DEM-guided Fusion Transformer for landslide segmentation. [PDF]

PLoS One
Zhao C, Li L, Wang Y, Li X, Xu C, Song Y, Ren D, Xiao C.   +7 more
europepmc   +1 more source

A Causal‐Spatial Explainability Framework for Geological Hazard Susceptibility Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Data‐driven susceptibility models often act as black boxes, predicting where hazards may occur without explaining why. To address this gap, we propose a Causal‐Prior (CP) framework that integrates validated causal knowledge into training while yielding spatially grounded explanations.
Bo‐Fan Yu, Huai‐Xue Xing, Hong‐Hu Zhu, Wei‐Ya Ge, Cong‐Xuan Kang, Mu‐Hua Zhao, Zheng‐Da Zhang   +6 more
wiley   +1 more source

A Review of Video-Based Monitoring Systems for Geohazard Early Warning. [PDF]

Sensors (Basel)
Dong H, Sheng S, Xu C.
europepmc   +1 more source