Articles | Volume 17, issue 6
Nat. Hazards Earth Syst. Sci., 17, 861–879, 2017
https://doi.org/10.5194/nhess-17-861-2017
Nat. Hazards Earth Syst. Sci., 17, 861–879, 2017
https://doi.org/10.5194/nhess-17-861-2017

Research article 13 Jun 2017

Research article | 13 Jun 2017

High-resolution modelling of atmospheric dispersion of dense gas using TWODEE-2.1: application to the 1986 Lake Nyos limnic eruption

Arnau Folch et al.

Related authors

Assessing potential impact of explosive volcanic eruptions from Jan Mayen Island (Norway) on aviation in the North Atlantic
Manuel Titos, Beatriz Martínez Montesinos, Sara Barsotti, Laura Sandri, Arnau Folch, Leonardo Mingari, Giovanni Macedonio, and Antonio Costa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-264,https://doi.org/10.5194/nhess-2021-264, 2021
Preprint under review for NHESS
Short summary
FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 2: Model validation
Andrew T. Prata, Leonardo Mingari, Arnau Folch, Giovanni Macedonio, and Antonio Costa
Geosci. Model Dev., 14, 409–436, https://doi.org/10.5194/gmd-14-409-2021,https://doi.org/10.5194/gmd-14-409-2021, 2021
Short summary
FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides – Part 1: Model physics and numerics
Arnau Folch, Leonardo Mingari, Natalia Gutierrez, Mauricio Hanzich, Giovanni Macedonio, and Antonio Costa
Geosci. Model Dev., 13, 1431–1458, https://doi.org/10.5194/gmd-13-1431-2020,https://doi.org/10.5194/gmd-13-1431-2020, 2020
Short summary
Volcanic ash forecast using ensemble-based data assimilation: an ensemble transform Kalman filter coupled with the FALL3D-7.2 model (ETKF–FALL3D version 1.0)
Soledad Osores, Juan Ruiz, Arnau Folch, and Estela Collini
Geosci. Model Dev., 13, 1–22, https://doi.org/10.5194/gmd-13-1-2020,https://doi.org/10.5194/gmd-13-1-2020, 2020
Short summary
Volcanic ash modeling with the NMMB-MONARCH-ASH model: quantification of offline modeling errors
Alejandro Marti and Arnau Folch
Atmos. Chem. Phys., 18, 4019–4038, https://doi.org/10.5194/acp-18-4019-2018,https://doi.org/10.5194/acp-18-4019-2018, 2018
Short summary

Related subject area

Volcanic Hazards
Quantifying location error to define uncertainty in volcanic mass flow hazard simulations
Stuart R. Mead, Jonathan Procter, and Gabor Kereszturi
Nat. Hazards Earth Syst. Sci., 21, 2447–2460, https://doi.org/10.5194/nhess-21-2447-2021,https://doi.org/10.5194/nhess-21-2447-2021, 2021
Short summary
Lava flow hazard map of Piton de la Fournaise volcano
Magdalena Oryaëlle Chevrel, Massimiliano Favalli, Nicolas Villeneuve, Andrew J. L. Harris, Alessandro Fornaciai, Nicole Richter, Allan Derrien, Patrice Boissier, Andrea Di Muro, and Aline Peltier
Nat. Hazards Earth Syst. Sci., 21, 2355–2377, https://doi.org/10.5194/nhess-21-2355-2021,https://doi.org/10.5194/nhess-21-2355-2021, 2021
Short summary
Thematic vent opening probability maps and hazard assessment of small-scale pyroclastic density currents in the San Salvador volcanic complex (El Salvador) and Nejapa-Chiltepe volcanic complex (Nicaragua)
Andrea Bevilacqua, Alvaro Aravena, Augusto Neri, Eduardo Gutiérrez, Demetrio Escobar, Melida Schliz, Alessandro Aiuppa, and Raffaello Cioni
Nat. Hazards Earth Syst. Sci., 21, 1639–1665, https://doi.org/10.5194/nhess-21-1639-2021,https://doi.org/10.5194/nhess-21-1639-2021, 2021
Short summary
Assessing the impact of explosive eruptions of Fogo volcano (São Miguel, Azores) on the tourism economy
Joana Medeiros, Rita Carmo, Adriano Pimentel, José Cabral Vieira, and Gabriela Queiroz
Nat. Hazards Earth Syst. Sci., 21, 417–437, https://doi.org/10.5194/nhess-21-417-2021,https://doi.org/10.5194/nhess-21-417-2021, 2021
Short summary
Remote monitoring of seismic swarms and the August 2016 seismic crisis of Brava, Cabo Verde, using array methods
Carola Leva, Georg Rümpker, and Ingo Wölbern
Nat. Hazards Earth Syst. Sci., 20, 3627–3638, https://doi.org/10.5194/nhess-20-3627-2020,https://doi.org/10.5194/nhess-20-3627-2020, 2020
Short summary

Cited articles

Aka, F. T. and Yokoyama, T.: Current status of the debate about the age of Lake Nyos dam (Cameroon) and its bearing on potential flood hazards, Nat. Hazards, 65, 875–885, https://doi.org/10.1007/s11069-012-0401-4, 2013.
Apsley, D. and Castro, I.: A limited-length-scale k-ϵ model for the neutral and stably-stratified atmospheric boundary layer, Bound.-Lay. Meteorol., 83, 75–98, https://doi.org/10.1023/A:1000252210512, 1997.
Avila, M., Folch, A., Houzeaux, G., Eguzkitza, B., Prieto, L., and Cabezon, D.: A Parallel CFD Model for Wind Farms, Procedia Comput. Sci., 18, 2157–2166, https://doi.org/10.1016/j.procs.2013.05.386, 2013.
Baxter, P. and Kapila, M.: Acute health impact of the gas release at Lake Nyos, Cameroon, 1986, J. Volcanol. Geoth. Res., 39, 265–275, https://doi.org/10.1016/0377-0273(89)90064-4, 1989.
Britter, R.: Atmospheric dispersion of dense gases, Annu. Rev. Fluid Mech., 2, 317–344, https://doi.org/10.1146/annurev.fl.21.010189.001533, 1989.
Download
Short summary
Atmospheric dispersal of a gas denser than air can threat the environment and surrounding communities. In complex terrains, microscale winds and local orographic features can have a strong influence on the gas cloud behavior, potentially leading to inaccurate model results if not captured by coarser-scale simulations. We introduce a methodology for microscale wind field characterization and validate it using, as a test case, the CO2 gas dispersal from 1986 Lake Nyos eruption.
Altmetrics
Final-revised paper
Preprint