Inversion is the key to dispersion: understanding eruption dynamics by inverting tephra fallout

摘要: Volcanologists increasingly rely on numerical simulations to better understand the dynamics of erupting volcanoes. Mathematical models are often used explain geologic processes responsible for eruption deposits found in record, and characterize possible hazards from future volcanic activity. Examples include finite element flow transport codes simulate pyroclastic flows, lahars, debris avalanches (Iverson, 1997; Patra et al., 2005), analytical solutions or difference approximations advection-diffusion equation that model tephra dispersion (see Bonadonna, this volume) gas emissions quiescent volcanoes (Delmelle 2001), cellular automata algorithms advance lava (Barca 1994). Commonality among these examples involves fact we wish estimate parameters related activity directly field observations. For instance, how well can magnitude an measurements deposits?