Subscribe Now Subscribe Today
Science Alert
Curve Top
Trends in Applied Sciences Research
  Year: 2011 | Volume: 6 | Issue: 11 | Page No.: 1293-1300
DOI: 10.3923/tasr.2011.1293.1300
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

A Linear Unbiased Minimum-Error-Variance Algorithm for Marine Oil Spill Estimation

Kufre J. Bassey

Compared with other sources of pollution in the oceans, the risk of crude oil spillage to the sea presents the major threat for the marine ecology. There is no doubt the fact that there are sophisticated instruments like photoacoustic instrumentation for measuring oil in water bodies. Since oil start spreading immediately it enters water, it follows that spilled oil in water bodies is a state with incomplete information which therefore requires state estimation. This study uses Bayesian Statistics in deriving a linear unbiased minimum-error-variance algorithm for estimating the state of oil in water bodies. This is essential especially when chemical dispersant is a control alternative, given that this substance may have its own effect on marine biomass.
PDF Fulltext XML References Citation Report Citation
  •    New Application of Direct Algebraic Method to Eckhaus Equation
  •    Adsorption Behavior of p-chlorophenol on the Reed Wetland Soils
  •    Comparing the Passive and Active Sampling Devices with Biomonitoring of Pollutants in Langstone and Portsmouth Harbour, UK
  •    Comparative Study of Renewable Energy Based Water Disinfection Methods for Developing Countries
  •    A Review on the Environmental Issues in Jeddah, Saudi Arabia with Special Focus on Water Pollution
How to cite this article:

Kufre J. Bassey , 2011. A Linear Unbiased Minimum-Error-Variance Algorithm for Marine Oil Spill Estimation. Trends in Applied Sciences Research, 6: 1293-1300.

DOI: 10.3923/tasr.2011.1293.1300






Curve Bottom