Control stratory in coastal area using Markov Chain and Random Forest

Author

Li, Sheng-peng ; Wang, Hong-li

Author_Institution

Dept. of Fundamental Courses, Tianjin Foreign Studies Univ., Tianjin, China

Volume

Part 3

fYear

2011

fDate

3-5 Sept. 2011

Firstpage

1664

Lastpage

1666

Abstract

Economy in coastal cities plays an important role in China. It is urgent to protect environment with economy developing. Four types of sea water quality can be regarded as states of Markov Chain. Transfer probability is viewed as the function of sewage and investment in environmental protection. Based on historical datum in Tianjin, the function is estimated by Random Forest. Given objective of sewage reduction and environmental investment, transfer probability matrix can be calculated and long-term proportion of four types of sea water is obtained. It provides scientific reference for design goal of sewage reduction and environmental investment in reason.

Keywords

Markov processes; environmental economics; environmental management; sewage treatment; China; Markov chain; coastal area control strategy; coastal cities; economy development; environmental investment; environmental protection; random forest; sea water; sewage function; sewage reduction; transfer probability matrix; Biological system modeling; Investments; Machine learning; Markov processes; Vegetation; Water pollution; Environmental investment; Markov chain; random forest; sewage reduction;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-61284-446-6

Type

conf

DOI

10.1109/ICIEEM.2011.6035480

Filename

6035480