Title :
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
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;
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
DOI :
10.1109/ICIEEM.2011.6035480
