Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine
Authors
Keywords
-
Journal
Scientific Reports
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-08-29
DOI
10.1038/s41598-019-48986-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling
- (2019) Vu Nguyen et al. Forests
- A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
- (2019) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Impact of the 2008 Wenchuan earthquake in China on subsequent long-term debris flow activities in the epicentral area
- (2017) S. Zhang et al. GEOMORPHOLOGY
- A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility
- (2017) Laura Maria Stancanelli et al. JOURNAL OF HYDROLOGY
- Machine Learning Based Predictive Modeling of Debris Flow Probability Following Wildfire in the Intermountain Western United States
- (2017) Ashley N. Kern et al. Mathematical Geosciences
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
- (2016) Binh Thai Pham et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Assessment of the debris-flow susceptibility in tropical mountains using clast distribution patterns
- (2016) Laís de Carvalho Faria Lima Lopes et al. GEOMORPHOLOGY
- Intensity–duration threshold of rainfall-triggered debris flows in the Wenchuan Earthquake affected area, China
- (2016) Xiaojun Guo et al. GEOMORPHOLOGY
- Landslides triggered by the 20 April 2013 Lushan earthquake, Sichuan Province, China
- (2015) Chuan Tang et al. ENGINEERING GEOLOGY
- Flood hazard risk assessment model based on random forest
- (2015) Zhaoli Wang et al. JOURNAL OF HYDROLOGY
- Combined impacts of antecedent earthquakes and droughts on disastrous debris flows
- (2014) Ning-sheng Chen et al. Journal of Mountain Science
- Debris flows and their toll on human life: a global analysis of debris-flow fatalities from 1950 to 2011
- (2013) Casey A. Dowling et al. NATURAL HAZARDS
- Assessment of debris flow hazards using a Bayesian Network
- (2012) Wan-jie Liang et al. GEOMORPHOLOGY
- Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China)
- (2012) Wenbo Xu et al. NATURAL HAZARDS
- Prediction of debris-flow danger area by combining hydrological and inundation simulation methods
- (2011) Peng Cui et al. Journal of Mountain Science
- A regional real-time debris-flow warning system for the District of North Vancouver, Canada
- (2011) Matthias Jakob et al. Landslides
- Object-oriented mapping of landslides using Random Forests
- (2011) André Stumpf et al. REMOTE SENSING OF ENVIRONMENT
- The role of the sediment budget in understanding debris flow susceptibility
- (2009) Jia-Jyun Dong et al. EARTH SURFACE PROCESSES AND LANDFORMS
- The Wenchuan Earthquake (May 12, 2008), Sichuan Province, China, and resulting geohazards
- (2009) Peng Cui et al. NATURAL HAZARDS
- Deciphering the rate of mountain growth during topographic presteady state: An example from the NE margin of the Tibetan Plateau
- (2009) Luigi Palumbo et al. TECTONICS
- Late Cenozoic evolution of the central Longmen Shan, eastern Tibet: Insight from (U-Th)/He thermochronometry
- (2009) V. Godard et al. TECTONICS
- A real-world application of Monte Carlo procedure for debris flow risk assessment
- (2008) B. Calvo et al. COMPUTERS & GEOSCIENCES
- GIS-based risk analysis of debris flow: an application in Sichuan, southwest China
- (2008) B.F. DI et al. International Journal of Sediment Research
- Comparing models of debris-flow susceptibility in the alpine environment
- (2007) Alberto Carrara et al. GEOMORPHOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now