Published in

Elsevier, Journal of Environmental Management, 3(78), p. 294-304, 2006

DOI: 10.1016/j.jenvman.2005.04.024

Links

Tools

Export citation

Search in Google Scholar

Optimal estuarine sediment monitoring network design with simulated annealing

Journal article published in 2006 by L. M. Nunes, S. Caeiro ORCID, M. C. Cunha, L. Ribeiro
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

An objective function based on geostatistical variance reduction, constrained to the reproduction of the probability distribution functions of selected physical and chemical sediment variables, is applied to the selection of the best set of compliance monitoring stations in the Sado river estuary in Portugal. These stations were to be selected from a large set of sampling stations from a prior field campaign. Simulated annealing was chosen to solve the optimisation function model. Both the combinatorial problem structure and the resulting candidate sediment monitoring networks are discussed, and the optimal dimension and spatial distribution are proposed. An optimal network of sixty stations was obtained from an original 153-station sampling campaign. ; http://www.sciencedirect.com/science/article/B6WJ7-4GX6J7S-8/1/a856112ea58d8f9d6bf0b51627b5e2a2