A predictive Bayesian data-derived multi-modal Gaussian model of sunken oil mass-Reference-Cited by-同舟云学术

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A predictive Bayesian data-derived multi-modal Gaussian model of sunken oil mass

Published:2015-07 Issue: Volume:69 Page:1-13
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Echavarria-Gregory M. Angelica,Englehardt James D.

Funder

NOAA/UNH Coastal Response Research Center

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference41 articles.

1. Statistical Prediction Analysis;Aitchison,1975

2. Application of a predictive bayesian model to environmental accounting;Anex;J. Hazard. Mater. Elsevier,2001

3. Bubble sizes, break-up and coalescence in deepwater gas/oil plumes;Bandara;J. Hydraul. Eng. ASCE,2011

4. Hydraulics of Groundwater;Bear,1979

5. General NOAA Oil Modeling Environment (GNOME): a New Spill Trajectory Model;Beegle-Krause,2001

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