Stationary Sampling Designs Based on Plume Simulations

Helle K., Pebesma E.

Zusammenfassung

This chapter focuses on plume monitoring in the atmosphere and illustrates plume simulation, choice of a cost function, and optimisation by searching for the optimal sampling designs to detect radioactive plumes that could threaten Upper Austria. The main concern is monitoring of pollution that spreads from a few potential sources by single plumes like poisonous or radioactive gases or aerosols. The chapter overviews the sampling design studies that used simulations of atmospheric plumes. In addition it explicates the choices for the simulation of radioactive plumes with the RIMPUFF dispersion model. The chapter gives an overview of how to use greedy search, spatial simulated annealing, and genetic algorithms, to optimise the sampling design for Upper Austria, and compares their performance and the different resulting sampling designs. The properties of the simulated plumes and the results of the optimisations are discussed.