An iterative optimization scheme to accommodate inequality constraints in air quality geostatistical estimation of multivariate PM.

ABSTRACT: The kriging-based estimation of the different types of atmospheric particulate matter (PM) pollutions defined in the air quality regulation raises some operational problems because the (co)kriging equations are obtained by minimizing a linear combination of the estimation variances subject to unbiasedness constraints. As a consequence, the estimation process can result in total PM₁₀ concentrations that are less than the PM_2.5 concentrations which would be physically impossible. In a previous publication, it was shown that a convenient external drift modeling can reduce the number of spatial locations where the inequality constraint is not satisfied, without completely solving the problem. In this work, the formulation of the cokriging system is modified, inspired by p

SUBMITTER: Beauchamp M 

PROVIDER: S-EPMC10318523 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature