Using Bayesian Belief Networks and Fuzzy Logic to Evaluate Aquatic Ecological Risk

Autor: Ken Yeh, Yung-Shuen Shen, Han-Hsi Liang, Kevin Fong-Rey Liu, Cheng-Wu Chen
Rok vydání: 2013
Předmět:
Zdroj: International Journal of Environmental Science and Development, Vol 4, Iss 4, Pp 419-424 (2013)
ISSN: 2010-0264
DOI: 10.7763/ijesd.2013.v4.385
Popis: There are three issues: 1) ecological effects quotient is a low-level toxicity risk estimate for chemical pressure because it uses a simple number to represent a complex biological problem; 2) besides biological toxicity, species future status is also relevant to physical and biological pressures which are difficult to express by ecological effects quotient; 3) we need a higher level methodology to consider all ecological pressures. To address the issues, this study has five objectives: 1) to design the ecological risk procedure for Bayesian belief networks (BBN) approach; 2) to represent the relationships between physical, chemical and biological pressures and effects with BBN; 3) to construct conditional probabilities in BBN by fuzzy logic; and 4) study case.
Databáze: OpenAIRE