气候变化领域集成服务门户(CCPortal): Tree-Branching-Based Enhancement of Kinetic Energy Models for Reproducing Channelization Processes of Pyroclastic Density Currents

CCPortal

DOI	10.1029/2019JB019271
	Tree-Branching-Based Enhancement of Kinetic Energy Models for Reproducing Channelization Processes of Pyroclastic Density Currents
	Aravena A.; Cioni R.; Bevilacqua A.; de' Michieli Vitturi M.; Esposti Ongaro T.; Neri A.
发表日期	2020
ISSN	21699313
卷号	125 期号:7
英文摘要	Kinetic energy models, also called kinetic models, are simple tools able to provide a fast estimate of the inundation area of pyroclastic density currents (PDCs). They are based on the calculation of the PDC front kinetic energy as a function of the distance from a source point. On a three-dimensional topography, the PDC runout distance is estimated by comparing the flow kinetic energy with the potential energy associated with the topographic obstacles encountered by the PDC. Since kinetic models do not consider the occurrence of channelization processes, the modeled inundation areas can be significantly different from those observed in real deposits. To address this point, we present a new strategy that allows improving kinetic models by considering flow channelization processes, and consists in the inclusion of secondary source points in the expected channelization zones, adopting a tree branch-like structure. This strategy is based on the redistribution of a key physical variable, such as the flow energy or mass depending on the considered kinetic model, and requires the adoption of appropriate equations for setting the characteristics of the secondary sources. Two models were modified by applying this strategy: the energy cone and the box model. We tested these branching models by comparing their results with those derived from their traditional formulations and from a two-dimensional depth-averaged model, considering two specific volcanoes (Chaitén and Citlaltépetl). Thereby, we show the capability of this strategy of improving the accuracy of kinetic models and considering flow channelization processes without including additional, unconstrained input parameters. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	box model; energy cone model; numerical modeling; pyroclastic density currents; volcanic hazards; volcanic risks
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/187755
作者单位	Dipartimento di Scienze della Terra, Università di Firenze, Florence, Italy; Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy
推荐引用方式 GB/T 7714	Aravena A.,Cioni R.,Bevilacqua A.,et al. Tree-Branching-Based Enhancement of Kinetic Energy Models for Reproducing Channelization Processes of Pyroclastic Density Currents[J],2020,125(7).
APA	Aravena A.,Cioni R.,Bevilacqua A.,de' Michieli Vitturi M.,Esposti Ongaro T.,&Neri A..(2020).Tree-Branching-Based Enhancement of Kinetic Energy Models for Reproducing Channelization Processes of Pyroclastic Density Currents.Journal of Geophysical Research: Solid Earth,125(7).
MLA	Aravena A.,et al."Tree-Branching-Based Enhancement of Kinetic Energy Models for Reproducing Channelization Processes of Pyroclastic Density Currents".Journal of Geophysical Research: Solid Earth 125.7(2020).