DocumentCode :
519435
Title :
Dynamic Assessment and Simulation of Regional Eco-environmental Quality Based on Matter Element Model and Markov Chain
Author :
Liu, Yaobin ; Duan, Yufang
Author_Institution :
Center for Res. on Economic Dev., Nanchang Univ., Nanchang, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
328
Lastpage :
331
Abstract :
Through developing a characteristics indicator system of eco-environmental matter elements, this paper advanced an assessment and simulation method of regional eco-environmental quality based on the matter element model and Markov chain. The system was applied to Jiangxi province in China as case study. The results show that eco-environmental quality in Jiangxi province as simulated by matter element model has been, on the overall, improved from 2000 to 2005. The degree of improvement is, however, different for the 11 districts in the province. On the other hand, Markov chain forecasting shows that the eco-environmental quality seems heading in a better evolutional direction in the next 5~10 years, provided current eco-environment governance is sustained. The application effects imply that the assessment and forecast of the models, to a certain extent, reflect actual conditions and development trends of the provincial eco-environmental quality. However, because of limitations in the model assumptions, improvements are needed in application of the model to different regions in different phases of economic development.
Keywords :
Computational modeling; Computer simulation; Economic forecasting; Electronic mail; Environmental economics; Environmentally friendly manufacturing techniques; Industrial pollution; Predictive models; Quality management; Water resources; Jiangxi province; Markov chain; assessment and simulationt; eco-environmental quality; matter element model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
Conference_Location :
Wuhan, China
Print_ISBN :
978-0-7695-3972-0
Electronic_ISBN :
978-1-4244-5924-7
Type :
conf
DOI :
10.1109/CESCE.2010.114
Filename :
5493142
Link To Document :
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