基于人工神经网络的山区生态安全预测研究——以石家庄区西部山区为例

Li Yan-qing, Huang Zhi-ying, Ge Jing-feng, Jia Qiang, Chen Jing, Fan Yu-zhong
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引用次数: 0

摘要

生态环境安全日益引起人们的重视,成为人类社会关注的焦点。本文以石家庄区西部山区为研究区,建立压力-状态-响应(PSR)模型下的生态安全预测指标,利用人工神经网络模型预测各指标的标准化值,通过生态安全计算和趋势曲线预测未来9年生态安全状况的发展趋势。结果表明:总体生态安全程度呈上升趋势,2007 ~ 2015年处于“较好”状态,2015年最大值为0.6940,比1996年和2006年分别增长74.96%和21.58%;然而,生态安全度每年都低于0.8,表明区域生态环境问题并未完全解决,应采取进一步措施保护生态环境。
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Research on ecological security prediction in mountain areas based on the artificial neural network —Taken western mountain areas in Shijiazhuang District for example
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.
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