DocumentCode
3210491
Title
Research on ecological security prediction in mountain areas based on the artificial neural network —Taken western mountain areas in Shijiazhuang District for example
Author
Yan-Qing, Liang ; Zhi-Ying, Huang ; Jing-Feng, Ge ; Qiang, Jia ; Jing, Chen ; Yu-Zhong, Fan
Author_Institution
Coll. of Resource & Environ. Sci., Hebei Normal Univ., Shijiazhuang, China
Volume
2
fYear
2010
fDate
13-14 Sept. 2010
Firstpage
93
Lastpage
96
Abstract
Ecological environment security had aroused more and more attentions, and became the focus of human society. The thesis took western mountain areas in Shijiazhuang District for study area, established ecological security prediction indexes under the model of Pressure-State-Response(PSR), and predicted standardized value of each index by using artificial neural network model, then predicted the development trend of ecological security condition in the next 9 years through ecological security calculation and trend curve. Results were as follows: the overall ecological security degree would present rising trend, it would be “better” state in 2007~2015, and the maximum value would be 0.6940 in 2015, increased by 74.96% than that of 1996 and 21.58% than that of 2006. However, the ecological security degrees would be less than 0.8 each year, showing that the regional ecological environment problems were not completely solved, should take further measures to protect the ecological environment.
Keywords
ecology; environmental science computing; neural nets; artificial neural network; ecological environment security; ecological security condition; ecological security prediction indexes; pressure state response; western mountain areas; Engineering profession; Indexes; Security; artificial neural network; ecological security degree; prediction; western mountain areas in Shijiazhuang District;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7705-0
Type
conf
DOI
10.1109/CINC.2010.5643781
Filename
5643781
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