V. Tran

Matching Urban Flood Sensor Placement to Monitoring Objectives Using Bayesian Optimal Experimental Design

Flood-monitoring sensors are often placed according to coverage, access, or expected inundation. However, the value of a measurement depends on the prediction or decision it is intended to inform. Using tRIBS-Urban simulations and a neural-network surrogate of the August 2014 metropolitan Detroit flood, we examine how...