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

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.

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