scholarly journals Spatial distribution and controlling factors of snow avalanche and debris flow in Parâng Mountains

2017 ◽  
Author(s):  
Ionela Gavrilă ◽  
Olimpiu Pop ◽  
Csaba Horvath ◽  
Flaviu Meseșan ◽  
Iulian Holobâcă
Keyword(s):  
Spatial Distribution ◽  
Debris Flow ◽  
Controlling Factors ◽  
Snow Avalanche

scholarly journals Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A Machine Learning Approach

2021 ◽  
Vol 13 (23) ◽  
pp. 4813
Author(s):  
Yan Zhao ◽  
Xingmin Meng ◽  
Tianjun Qi ◽  
Guan Chen ◽  
Yajun Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Spatial Distribution ◽  
Debris Flow ◽  
Debris Flows ◽  
Controlling Factors ◽  
Central China ◽  
Mitigation Measures ◽  
Ground Acceleration ◽  
Total Contribution ◽  
Mountainous Regions

Debris flows are a major geological hazard in mountainous regions. For improving mitigation, it is important to study the spatial distribution and factors controlling debris flows. In the Bailong River Basin, central China, landslides and debris flows are very well developed due to the large differences in terrain, the complex geological environment, and concentrated rainfall. For analysis, 52 influencing factors, statistical, machine learning, remote sensing and GIS methods were used to analyze the spatial distribution and controlling factors of 652 debris flow catchments with different frequencies. The spatial distribution of these catchments was divided into three zones according to their differences in debris flow frequencies. A comprehensive analysis of the relationship between various factors and debris flows was made. Through parameter optimization and feature selection, the Extra Trees classifier performed the best, with an accuracy of 95.6%. The results show that lithology was the most important factor controlling debris flows in the study area (with a contribution of 26%), followed by landslide density and factors affecting slope stability (road density, fault density and peak ground acceleration, with a total contribution of 30%). The average annual frequency of daily rainfall > 20 mm was the most important triggering factor (with a contribution of 7%). Forest area and vegetation cover were also important controlling factors (with a total contribution of 9%), and they should be regarded as an important component of debris flow mitigation measures. The results are helpful to improve the understanding of factors influencing debris flows and provide a reference for the formulation of mitigation measures.

scholarly journals Datasets on the spatial distribution of mercury and its controlling factors in the Yellow Sea

Data in Brief ◽  
2021 ◽  
Vol 35 ◽  
pp. 106792
Author(s):  
Do Hyun Jeong ◽  
Wooyoung Jeong ◽  
Saehun Baeg ◽  
Jihun Kim
Keyword(s):  
Spatial Distribution ◽  
Yellow Sea ◽  
Controlling Factors ◽  
The Yellow Sea

Coseismic landslides triggered by the 2018 Hokkaido, Japan (Mw 6.6), earthquake: spatial distribution, controlling factors, and possible failure mechanism

Landslides ◽  
2019 ◽  
Vol 16 (8) ◽  
pp. 1551-1566 ◽  
Author(s):  
Fengrui Wang ◽  
Xuanmei Fan ◽  
Ali P. Yunus ◽  
Srikrishnan Siva Subramanian ◽  
Andres Alonso-Rodriguez ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Failure Mechanism ◽  
Controlling Factors ◽  
Coseismic Landslides
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