Geostatistical Prediction of Ocean Outfall Plume Characteristics Based on an Autonomous Underwater Vehicle Regular Paper

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Patrícia Ramos (Autor) FEUP

Revista

Título: International Journal of Advanced Robotic Systems

Vol. 10 Nº 67

Página Final: 1

ISSN: 1729-8806

Editora: SAGE

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-006-974

DOI: 10.5772/56644

Abstract (EN): Geostatistics has been successfully used to analyse and characterize the spatial variability of environmental properties. Besides providing estimated values at unsampled locations, geostatistics measures the accuracy of the estimate, which is a significant advantage over traditional methods used to assess pollution. This work uses universal block kriging to model and map the spatial distribution of salinity measurements gathered by an Autonomous Underwater Vehicle in a sea outfall monitoring campaign. The aim is to distinguish the effluent plume from the receiving waters, characterizing its spatial variability in the vicinity of the discharge and estimating dilution. The results demonstrate that geostatistical methodology can provide good estimates of the dispersion of effluents, which are valuable in assessing the environmental impact and managing sea outfalls. Moreover, since accurate measurements of the plume's dilution are rare, these studies may be very helpful in the future to validate dispersion models.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14