Study on POPs Emissions Prediction Based on GM(1,1) Model

Autor: Xing-kuo Li, Shun-xiang Huang, Jian-mei Zhou, Feng Liu
Rok vydání: 2009
Předmět:
Zdroj: Advances in Intelligent and Soft Computing ISBN: 9783642036637
ICFIE
DOI: 10.1007/978-3-642-03664-4_173
Popis: In this paper, the prediction gray model GM(1,1) was applied to the prediction and analysis of Persistent Organic Pollutants (POPs) emissions. Through the analysis of the data, the emissions of POPs of Secondary Copper industry in some region from 2005 to 2007, the emissions of POPs from 2008 to 2009 are obtained respectively, which can provide technical supports for our country to control POPs emissions.
Databáze: OpenAIRE