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中国农学通报

中国农学通报 ›› 2014, Vol. 30 ›› Issue (23): 289-295.doi: 10.11924/j.issn.1000-6850.2013-2734

所属专题： 资源与环境； 农业生态； 耕地保护

• 农业科技信息 • 上一篇    下一篇

基于BP人工神经网络的区域土地生态安全评价研究——以安徽省为例

马志昂 盖艾鸿 程久苗   

  • 收稿日期:2013-10-18 修回日期:2013-11-19 出版日期:2014-08-15 发布日期:2014-08-15

Evaluation on Ecological Security of Regional Land Based on BP Artificial Neural Network——A Case of Anhui Province

  • Received:2013-10-18 Revised:2013-11-19 Online:2014-08-15 Published:2014-08-15

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摘要： 为了进行区域土地生态安全评价研究，在界定土地生态安全概念的基础上，建立了由15个评价指标组成的区域土地生态安全评价指标体系，运用BP人工神经网络方法，构建起区域土地生态安全评价模型，并根据此模型对1998—2012年安徽省土地生态安全程度进行评价。研究表明：（1）安徽省土地生态安全等级在1998—2002年是“非常不安全”，2002—2007年是“较安全”，2008—2012年是“较不安全”；（2）BP人工神经网络通过对历史数据的学习，能够实现区域土地生态安全评价，对探索区域土地生态安全评价方法具有重要意义。

关键词: 造纸法再造烟叶, 造纸法再造烟叶, 耐破度, RSD

Abstract: In order to do the evaluation on ecological security of regional land and based on clarifying of land ecological security, the evaluation index system of regional land ecological security was established by 15 indexes. The author used BP artificial neural network to establish ecological security evaluation model of regional land, based on which to judge the ecological security degree of land of Anhui Province during 1998-2012. The results showed that: (1) the land ecological security level of Anhui Province was ‘very unsafe’ during 1998-2002, during 2002-2007 was ‘relatively safe’ and during 2008-2012 was ‘relatively unsafe’; (2) BP artificial neural network was based on studying historical data that achieved the purpose of evaluating the ecological security of regional land. And it played an important part in exploring a new way for security of regional land as well.