A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
http://link.springer.com/content/pdf/10.1007/s11069-016-2451-5.pdf
Reference65 articles.
1. Aiuppa A et al (2009) The 2007 eruption of Stromboli volcano: insights from real-time measurement of the volcanic gas plume CO2/SO2 ratio. J Volcanol Geotherm Res 182(3–4):221–230
2. Aiuppa A et al (2011) First observational evidence for the CO2-driven origin of Stromboli’s major explosions. Solid Earth 2(2):135–142
3. Antonello G, Casagli N, Farina P, Leva D, Nico G, Sieber AJ, Tarchi D (2004) Ground-based SAR interferometry for monitoring mass movements. Landslides 1(1):21–28
4. Baldi P et al (2008) High precision photogrammetry for monitoring the evolution of the NW flank of Stromboli volcano during and after the 2002–2003 eruption. Bull Volcanol 70:703–715
5. Barberi F et al (1993) Volcanic hazard assessment at Stromboli based on review of historical data. Acta Vulcanol 3:173–187
Cited by 23 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. Landslide Displacement Prediction Based on Variational Mode Decomposition and GA–Elman Model;Applied Sciences;2022-12-29
2. Application of Machine Learning in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland;Remote Sensing;2022-09-23
3. Probabilistic analysis to correlate seismic data with lava extrusion phases at Merapi volcano (Indonesia);Journal of Volcanology and Geothermal Research;2022-06
4. A new hybrid method for establishing point forecasting, interval forecasting, and probabilistic forecasting of landslide displacement;Natural Hazards;2021-11-16
5. Joint exploitation of space-borne and ground-based multitemporal InSAR measurements for volcano monitoring: The Stromboli volcano case study;Remote Sensing of Environment;2021-07
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