Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion

Ben Mansour Dia, Michael Fehler, Sanlinn I. Kaka, Andrea Scarinci, Umair bin Waheed, Chen Gu

Abstract: Highlights•Sensors placement problem is addressed using Bayesian experimental design framework.•Optimal network of stations to reduce the uncertainty in the seismic moment tensor.•A consensus approach is presented for unknown velocity-model or earthquake-source.•Analysis under model misspecification shows the robustness of the method.