Hazard assessment at Mount Etna using a hybrid lava flow inundation model and satellite-based land classification

被引:19
|
作者
Harris, Andrew J. L. [1 ]
Favalli, Massimiliano [2 ]
Wright, Robert [3 ]
Garbeil, Harold [3 ]
机构
[1] Univ Blaise Pascal, Clermont Univ, Lab Magmas & Volcans, F-63000 Clermont Ferrand, France
[2] Ist Nazl Geofis & Vulcanol Pisa, I-56100 Pisa, Italy
[3] Univ Hawaii, HIGP SOEST, Honolulu, HI 96822 USA
关键词
Lava flow; Risk; FLOWGO; ASTER image; Land classification; Mt; Etna; SIMULATION-MODEL; VOLCANIC HAZARD; 1928; ERUPTION; EFFUSION; RISK; GIS; LENGTHS; AREA;
D O I
10.1007/s11069-010-9709-0
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Using a lava flow emplacement model and a satellite-based land cover classification, we produce a map to allow assessment of the type and quantity of natural, agricultural and urban land cover at risk from lava flow invasion. The first step is to produce lava effusion rate contours, i.e., lines linking distances down a volcano's flank that a lava flow will likely extend if fed at a given effusion rate from a predetermined vent zone. This involves first identifying a vent mask and then running a downhill flow path model from the edge of every pixel around the vent mask perimeter to the edge of the DEM. To do this, we run a stochastic model whereby the flow path is projected 1,000 times from every pixel around the vent mask perimeter with random noise being added to the DEM with each run so that a slightly different flow path is generated with each run. The FLOWGO lava flow model is then run down each path, at a series of effusion rates, to determine likely run-out distance for channel-fed flow extending down each path. These results are used to plot effusion rate contours. Finally, effusion rate contours are projected onto a land classification map (produced from an ASTER image of Etna) to assess the type and amount of each land cover class falling within each contour. The resulting maps are designed to provide a quick look-up capability to assess the type of land at risk from lava extending from any location at a range of likely effusion rates. For our first (2,000 m) vent zone case used for Etna, we find a total of area of similar to 680 km(2) is at risk from flows fed at 40 m(3) s(-1), of which similar to 6 km(2) is urban, similar to 150 km(2) is agriculture and similar to 270 km(2) is grass/woodland. The model can also be run for specific cases, where we find that Etna's 1669 vent location, if active today, would likely inundate almost 11 km(2) of urban land, as well as 15.6 km(2) of agricultural land, including 9.5 km(2) of olive groves and 5.2 km(2) of vineyards and fruit/nut orchards.
引用
收藏
页码:1001 / 1027
页数:27
相关论文
共 45 条
  • [1] Hazard assessment at Mount Etna using a hybrid lava flow inundation model and satellite-based land classification
    Andrew J. L. Harris
    Massimiliano Favalli
    Robert Wright
    Harold Garbeil
    Natural Hazards, 2011, 58 : 1001 - 1027
  • [2] DOWNFLOW code and LIDAR technology for lava flow analysis and hazard assessment at Mount Etna
    Favalli, Massimiliano
    Tarquini, Simone
    Fornaciai, Alessandro
    ANNALS OF GEOPHYSICS, 2011, 54 (05) : 552 - 566
  • [3] Topographic control on lava flow paths at Mount Etna, Italy: Implications for hazard assessment
    Favalli, Massimiliano
    Mazzarini, Francesco
    Pareschi, Maria Teresa
    Boschi, Enzo
    JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2009, 114
  • [4] A lava flow simulation model for the development of volcanic hazard maps for Mount Etna (Italy)
    Damiani, ML
    Groppelli, G
    Norini, G
    Bertino, E
    Gigliuto, A
    Nucita, A
    COMPUTERS & GEOSCIENCES, 2006, 32 (04) : 512 - 526
  • [5] Evaluating Lava Flow Hazard at Mount Etna (Italy) by a Cellular Automata Based Methodology
    Avolio, Maria Vittoria
    D'Ambrosio, Donato
    Lupiano, Valeria
    Rongo, Rocco
    Spataro, Wilham
    PARALLEL PROCESSING AND APPLIED MATHEMATICS, PART II, 2010, 6068 : 495 - +
  • [6] Lava flow hazard at Mount Etna (Italy): New data from a GIS-based study
    Neri, M. (neri@ct.ingv.it), 2005, Geological Society of America (396):
  • [7] Complex lava tube networks developed within the 1792-93 lava flow field on Mount Etna (Italy): insights for hazard assessment
    Calvari, S.
    Giudice, G.
    Maugeri, R.
    Messina, D.
    Morgavi, D.
    Miraglia, L.
    La Spina, A.
    Spampinato, L.
    FRONTIERS IN EARTH SCIENCE, 2024, 12
  • [8] A comparison of satellite-based indices for hazard assessment of MSW open dumps using spatial analysis
    Mahmood, Khalid
    Ul-Haq, Zia
    Faizi, Fiza
    Batol, Syeda A.
    WASTE MANAGEMENT & RESEARCH, 2019, 37 (03) : 219 - 236
  • [9] Satellite-Based Aerosol Classification for Capital Cities in Asia Using a Random Forest Model
    Choi, Wonei
    Kang, Hyeongwoo
    Shin, Dongho
    Lee, Hanlim
    REMOTE SENSING, 2021, 13 (13)
  • [10] A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine
    Gemitzi, Alexandra
    Kopsidas, Odysseas
    Stefani, Foteini
    Polymeros, Aposotolos
    Bellos, Vasilis
    LAND, 2024, 13 (11)