Volume 8 Number 6 (Jun. 2013)
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JCP 2013 Vol.8(6): 1394-1400 ISSN: 1796-203X
doi: 10.4304/jcp.8.6.1394-1400

Assessing Land Ecological Security Based on BP Neural Network: a Case Study of Hangzhou, China

Heyuan You
College of Business Administration, Zhejiang University of Finance and Economics, Hangzhou, China

Abstract—Due to the increasing stress on the land ecology, the land eco-security suffers damage. In this paper, the BP neural network and PSR framework were adopted to establish the model for assessment of land eco-security, and an empirical study of assessing land eco-security in Hangzhou was done. The results show that the city center district is at serious land eco-security risk; Xiaoshan district and Yuhang district are at high land eco-security risk; and others counties (cities) are at low risk or intermediate risk. In Hangzhou, although some measures are adopted to control the risk of land eco-security, the economic growth still has negative impact on the land ecology. The rapid industrialization and urbanization increase the risk of land eco-security. Therefore the policy constitutors should do something to strengthen the land ecology protection.

Index Terms—land ecological security, pressure-state-response framework, BP neural network, Hangzhou

[PDF]

Cite: Heyuan You, " Assessing Land Ecological Security Based on BP Neural Network: a Case Study of Hangzhou, China," Journal of Computers vol. 8, no. 6, pp. 1394-1400, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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