The use of machine learning techniques for a predictive model of debris flows triggered by short intense rainfall
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-05853-x.pdf
Reference49 articles.
1. Abancó C, Hürlimann M (2014) Estimate of the debris-flow entrainment using field and topographical data. Nat Hazards 81:363–383
2. Agrawal K, Baweja Y, Dwivedi D, Saha R, Prasad P, Agrawal S, Kapoor S, Chaturvedi P, Mali N, Kala VU, Dutt V (2017) A comparison of class imbalance techniques for real-world landslide predictions. In: International conference on machine learning and data science (MLDS) 2018:1–8.https://doi.org/10.1109/MLDS.2017.21
3. Angillieri MYE (2015) Application of logistic regression and frequency ratio in the spatial distribution of debris-rockslides: precordillera of San Juan, Argentina. Quart Int 355:202–208. https://doi.org/10.1016/j.quaint.2014.11.002
4. Angillieri MYE (2020) Debris flow susceptibility mapping using frequency ratio and seed cells, in a portion of a mountain international route, Dry Central Andes of Argentina. CATENA 189:104504. https://doi.org/10.1016/j.catena.2020.104504
5. Beason SR, Legg NT, Kenyon TR, Jost RP (2021) Forecasting and seismic detection of proglacial debris flows at Mount Rainier National Park, Washington, USA. Environ Eng Geosci 27(1):57–72
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. First national inventory of high-elevation mass movements in the Italian Alps;Computers & Geosciences;2024-02
2. Open gridded climate datasets can help investigating the relation between meteorological anomalies and geomorphic hazards in mountainous areas;Global and Planetary Change;2024-01
3. A Framework to Identify Rock Glaciers and Model Mountain Permafrost in the Jhelum Basin, Kashmir Himalaya, India;Earth and Space Science;2023-12-27
4. A random forest approach to quality-checking automatic snow-depth sensor measurements;The Cryosphere;2023-12-15
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3