Matches in SemOpenAlex for { <https://semopenalex.org/work/W3081748182> ?p ?o ?g. }
- W3081748182 abstract "Lahars impose significant secondary hazards on highly populated volcanic islands by remobilising volcanic ash deposits. Karthala, on Grande Comore Island, is a basaltic shield volcano with sporadic occurrence of ash-forming phreatic eruptions. In 2005, two mildly explosive episodes emplaced tephra blankets on the summit area. Heavy precipitation subsequently triggered the repetitive occurrence of small-volume secondary lahars up to 2012. These lahars impacted the settlements at the foot of Karthala, damaging roads and hundreds of houses, affecting thousands of inhabitants. This study aims at gaining insights into the effectiveness of two simple tools to reproduce the lahars’ extent in this data-poor context. To understand the physical characteristics of the lahars, we first documented the extent and characteristics of the debris deposits at the foot of Karthala volcano and in the ravines that guided the flows. Our observations suggest that the debris was emplaced by small-scale (volumes ≤105 m³), rain-triggered and predominantly low sediment concentration lahars. The spatial extent of the deposits served to calibrate and compare numerical lahar simulations from the widely used volume-limited LaharZ model with results from Q-LavHA, a recent probabilistic flow model originally developed for lava flows. Our comparison demonstrates that LaharZ outperforms Q-LavHA for small-scale lahar simulations. While Q-LavHA has features that mitigate some limitations of LaharZ, such as its ability to simulate flow bifurcations and the transition from constrained to unconstrained flow, it typically underestimates the actual inundated area. Nevertheless, both models show rather poor performance, encountering difficulties in delineating lahar flow paths due to the smooth topography of the volcanic edifice. We therefore also evaluated the potential to increase simulation accuracy by updating a 10-meter resolution Digital Elevation Model (DEM) with channel topography measurements. While this approach led to improved simulation accuracies for both models compared to using un-adapted DEMs, it did not prevent simulations to miss the hazard-prone position of settlements actually affected by the hazard. This study helps inform numerical volcanic flow simulation strategies on young and poorly dissected volcanic edifices, such as basaltic shields, and forms a basis for further developing numerical simulation tools more adapted to these particular environmental settings." @default.
- W3081748182 created "2020-09-08" @default.
- W3081748182 creator A5015781089 @default.
- W3081748182 creator A5020277423 @default.
- W3081748182 creator A5023343923 @default.
- W3081748182 creator A5043826134 @default.
- W3081748182 creator A5073320304 @default.
- W3081748182 date "2020-09-02" @default.
- W3081748182 modified "2023-10-17" @default.
- W3081748182 title "Modeling Lahars on a Poorly Eroded Basaltic Shield: Karthala Volcano, Grande Comore Island" @default.
- W3081748182 cites W134221816 @default.
- W3081748182 cites W1483624205 @default.
- W3081748182 cites W1487212830 @default.
- W3081748182 cites W1972125651 @default.
- W3081748182 cites W1974792361 @default.
- W3081748182 cites W1986450574 @default.
- W3081748182 cites W1998000607 @default.
- W3081748182 cites W2000293412 @default.
- W3081748182 cites W2005073937 @default.
- W3081748182 cites W2005597612 @default.
- W3081748182 cites W2009997587 @default.
- W3081748182 cites W2010864566 @default.
- W3081748182 cites W2019247467 @default.
- W3081748182 cites W2023252106 @default.
- W3081748182 cites W2026105918 @default.
- W3081748182 cites W2041490520 @default.
- W3081748182 cites W2052651287 @default.
- W3081748182 cites W2058589064 @default.
- W3081748182 cites W2059312348 @default.
- W3081748182 cites W2060490957 @default.
- W3081748182 cites W2060518462 @default.
- W3081748182 cites W2060837783 @default.
- W3081748182 cites W2062577430 @default.
- W3081748182 cites W2070090837 @default.
- W3081748182 cites W2073079662 @default.
- W3081748182 cites W2076421012 @default.
- W3081748182 cites W2083915053 @default.
- W3081748182 cites W2086320398 @default.
- W3081748182 cites W2097334828 @default.
- W3081748182 cites W2131754357 @default.
- W3081748182 cites W2139170886 @default.
- W3081748182 cites W2144224158 @default.
- W3081748182 cites W2148861454 @default.
- W3081748182 cites W2151022888 @default.
- W3081748182 cites W2163487732 @default.
- W3081748182 cites W2225228920 @default.
- W3081748182 cites W2327269046 @default.
- W3081748182 cites W2335815953 @default.
- W3081748182 cites W2412609444 @default.
- W3081748182 cites W2460638943 @default.
- W3081748182 cites W2487146689 @default.
- W3081748182 cites W2506770548 @default.
- W3081748182 cites W2511087267 @default.
- W3081748182 cites W2519493659 @default.
- W3081748182 cites W2535465292 @default.
- W3081748182 cites W2551794396 @default.
- W3081748182 cites W2560821854 @default.
- W3081748182 cites W2772684366 @default.
- W3081748182 cites W2807980556 @default.
- W3081748182 cites W2890140875 @default.
- W3081748182 cites W2918355563 @default.
- W3081748182 cites W2954432497 @default.
- W3081748182 cites W2966279692 @default.
- W3081748182 cites W2968392215 @default.
- W3081748182 cites W2990023015 @default.
- W3081748182 cites W4242346985 @default.
- W3081748182 cites W4242663943 @default.
- W3081748182 cites W4250669519 @default.
- W3081748182 cites W599312336 @default.
- W3081748182 doi "https://doi.org/10.3389/feart.2020.00369" @default.
- W3081748182 hasPublicationYear "2020" @default.
- W3081748182 type Work @default.
- W3081748182 sameAs 3081748182 @default.
- W3081748182 citedByCount "5" @default.
- W3081748182 countsByYear W30817481822022 @default.
- W3081748182 countsByYear W30817481822023 @default.
- W3081748182 crossrefType "journal-article" @default.
- W3081748182 hasAuthorship W3081748182A5015781089 @default.
- W3081748182 hasAuthorship W3081748182A5020277423 @default.
- W3081748182 hasAuthorship W3081748182A5023343923 @default.
- W3081748182 hasAuthorship W3081748182A5043826134 @default.
- W3081748182 hasAuthorship W3081748182A5073320304 @default.
- W3081748182 hasBestOaLocation W30817481821 @default.
- W3081748182 hasConcept C114793014 @default.
- W3081748182 hasConcept C120806208 @default.
- W3081748182 hasConcept C127313418 @default.
- W3081748182 hasConcept C161509811 @default.
- W3081748182 hasConcept C17409809 @default.
- W3081748182 hasConcept C1965285 @default.
- W3081748182 hasConcept C85304923 @default.
- W3081748182 hasConcept C95869378 @default.
- W3081748182 hasConceptScore W3081748182C114793014 @default.
- W3081748182 hasConceptScore W3081748182C120806208 @default.
- W3081748182 hasConceptScore W3081748182C127313418 @default.
- W3081748182 hasConceptScore W3081748182C161509811 @default.
- W3081748182 hasConceptScore W3081748182C17409809 @default.
- W3081748182 hasConceptScore W3081748182C1965285 @default.
- W3081748182 hasConceptScore W3081748182C85304923 @default.
- W3081748182 hasConceptScore W3081748182C95869378 @default.
- W3081748182 hasFunder F4320321454 @default.