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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

机译:基于人工神经网络的山区生态安全预测研究-以石家庄西部山区为例

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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.
机译:生态环境安全引起了越来越多的关注,并成为人类社会关注的焦点。本文以石家庄西部山区为研究对象,在压力状态反应模型的基础上建立了生态安全预测指标,并运用人工神经网络模型对各指标的标准化值进行了预测,然后预测了其发展趋势。通过生态安全计算和趋势曲线分析未来9年的生态安全状况。结果表明:总体生态安全度呈上升趋势,2007〜2015年为“较好”状态,2015年最大值为0.6940,比1996年增长74.96%,比1996年增长21.58%。但是,该地区的生态安全度每年将低于0.8,这表明该地区的生态环境问题尚未得到彻底解决,应采取进一步措施保护生态环境。

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