Robustness and uncertainty estimation are two challenging topics in full-waveform inversion (FWI). To overcome these challenges, we present the methodology of random-objective waveform (ROWI), which adopts a multi-objective framework preconditioned stochastic gradient descent optimization algorithm. The use one shot per iteration avoids using redundant data reduces computational cost. Pareto so...

Four alternative cases for water supply were environmentally evaluated and compared based on the standard environmental impact categories from the life-cycle assessment (LCA) methodology extended with a freshwater withdrawal category (FWI). The cases were designed for Copenhagen, a part of Denmark with high population density and relatively low available water resources. FWI was applied at loca...

Abstract Highly-resolved numerical simulations employing detailed reaction kinetics and molecular transport have been applied to flame-wall interaction (FWI) of laminar premixed flames. A multiple plane-jet flame (2D) has considered, which is operated with methane/air mixtures at atmospheric conditions different equivalence ratios. Free (FF) side-wall quenching (SWQ) accomplished by defining on...

Abstract Climate teleconnections (CT) synchronize and influence weather features such as temperature, precipitation and, subsequently, drought fuel moisture in many regions across the globe. CTs thus may be related to cycles wildfire activity, thereby help fire managers anticipate fire-prone conditions well envisaging their future evolution. A wide number of modulate Iberian Peninsula (IP), exe...

SUMMARY We present a novel approach to global-scale full-waveform inversion (FWI) that can reduce computational cost by over an order of magnitude, compared previously published methods, without sacrificing physical and mathematical rigour. This is based on data-adaptation, thereby application-oriented specialization, two complementary levels. On the simulation level, we exploit approximate azi...

The inversion of seismic reflection data is challenging due to the oscillatory nature of the seismic data, the nonlinear relation between the data and the Earth’s model parameters, and the relative sensitivity of the different subsets of the data to the model parameters. Full-waveform inversion solves this inverse problem in the data space but is known to have shortcomings, especially because o...

SUMMARY We present a novel approach for imaging global mantle discontinuities based on full-waveform inversion (FWI). Over the past decades, extensive research has been done at approximately 400 and 670 km depth. Accurate knowledge of their topography can put strong constraints thermal compositional variations hence geodynamic modelling. So far, however, there is little consensus topography. an...

This work demonstrates high-speed 2D wall temperature measurements occurring during flame-wall interaction (FWI) within a narrow channel. Such are essential to understand transient heat transfer and flame behavior micro-combustors designated engine crevices. Wall is measured using the phosphor Bismuth-doped Scandium vanadate (ScVO4:Bi3+). ScVO4:Bi3+ exhibits short phosphorescence lifetime (2 mi...

Mapping surface water extent is important for managing supply agriculture and the environment. Remote sensing technologies, such as Landsat, provide an affordable means of capturing with reasonable spatial temporal coverage suited to this purpose. Many methods are available mapping including modified Normalised Difference Water Index (mNDWI), Fisher’s index (FWI), Observations from Space (WOfS)...