K
Ken Hon
Researcher at United States Geological Survey
Publications - 26
Citations - 1920
Ken Hon is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Lava & Volcano. The author has an hindex of 16, co-authored 25 publications receiving 1758 citations. Previous affiliations of Ken Hon include University of Hawaii at Hilo.
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Emplacement and inflation of pahoehoe sheet flows: observations and measurements of active lava flows on Kilauea volcano, Hawaii
TL;DR: Inflated sheet flows from Kilauea and Mauna Loa are morphologically similar to some thick Icelandic and submarine sheet flows, suggesting a similar mechanism of emplacement as discussed by the authors.
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A new model for the emplacement of Columbia River basalts as large, inflated Pahoehoe Lava Flow Fields
Stephen Self,Thorvaldur Thordarson,L. Keszthelyi,George P. L. Walker,Ken Hon,M. T. Murphy,Philip E. Long,S. Finnemore +7 more
TL;DR: In this paper, it was shown that large-scale compound pahoehoe lava flows can thicken by at least an order of magnitude through gradual inflation and the same mechanism has been proposed for larger (10-20 km3) phoehoe flows in Iceland.
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Observations on basaltic lava streams in tubes from Kilauea Volcano, island of Hawai'i
James P. Kauahikaua,Katharine V. Cashman,Tari N. Mattox,Christina Heliker,Ken Hon,Margaret T. Mangan,Carl R. Thornber +6 more
TL;DR: The Pu'u 'O'o-Kupaianaha eruption of Kilauea produced a vast pahoehoe flow field fed by lava tubes that extended 10-12 km from vents on the volcano's east rift zone to the ocean.
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Development of the 1990 Kalapana flow field, Kilauea Volcano, Hawaii
TL;DR: The 1990 Kalapana flow field is a complex patchwork of tube-fed pahoehoe flows erupted from the Kupaianaha vent at a low effusion rate (approximately 3.5 m3/s).
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The tangled tale of Kīlauea's 2018 eruption as told by geochemical monitoring.
TL;DR: Analysis of the data during the Kīlauea eruption revealed that at least three different sources of magma were feeding the eruption, which allowed forecasting of high-temperature eruptions and improved caldera-collapse models and may help improve real-time hazard responses.