YANG Renhao,YANG Qingyuan,ZENG Li,et al.Evaluation on Ecological Security and Analysis of Influence Factors of Rural Land Based on BP-ANN Model —A Case Study of Fengdu County in Chongqing[J].Research of Soil and Water Conservation,2017,24(03):206-213.
基于BP-ANN模型的农村土地生态安全评价及影响因素分析——以重庆市丰都县为例
- Title:
- Evaluation on Ecological Security and Analysis of Influence Factors of Rural Land Based on BP-ANN Model —A Case Study of Fengdu County in Chongqing
- Keywords:
- land ecological security; evaluation; BP-ANN model; rural land; Fengdu County
- 分类号:
- F301.24
- 摘要:
- 针对重庆市丰都县土地生态敏感特性和区域实际情况，将土地生态安全评价指标值作为输入，土地生态安全评价得分作为输出，基于多层反向传播人工神经网络（BP-ANN）构建了具有15个隐含层神经元的3层土地生态安全评价模型，通过Matlab R2012b随机选取2013年317个总样本中的200个样本，将其中的70%，30%分别作为网络的训练样本和检验样本用于训练及检验BP-ANN，将剩余117个样本测试网络，再将2014年317个村的相关指标值代入人工神经网络通过模式识别进行评价；在此基础上分析丰都县农村土地生态安全状况的空间分异现象，并使用因子分析法结合多元线性回归分析法研究影响丰都县农村土地生态安全的因素。结果表明：（1） 117个测试样本中相对误差小于5%的样本占98.21%，BP-ANN模型精度良好；（2） 2014年丰都县各村土地生态安全评分为40.47~55.73，平均得分49.19，土地生态安全状况处于中等偏下水平，空间上土地生态安全评分全局Morans’I指数为0.34，空间呈自相关性，县域内西北部的农村土地生态状况较好；（3） 影响丰都县农村土地生态安全的因素按照影响程度大小依次为：植被生物条件、土壤条件、景观多样性、生态建设与发展协调程度、降水条件、水域条件。BP-ANN模型一定程度上克服了传统评价过程中主观因素导致的误差，精确的评价结果对区域土地生态保护提供指导。
- Abstract:
- Aiming at ecological sensitive characteristic of rural land and the real regional situation in Fengdu County, a comprehensive assessment model of rural land ecological security based on Back-Propagation Artificial Neural Network (BP-ANN) was set up, which contained 15 cryptic layer nodes and 3 layers. The 70% of 200 samples which randomly selected from 317 samples in 2013 were chosen as the training samples, and the 30% of 200 samples were regarded as examining samples. We tested the 117 test samples using this model, evaluated the rural land ecological security of Fengdu County in 2014, and analyzed its spatial distribution, finally extracted the main factors that affected the rural land ecological security with factor analysis and multiple linear regression. The results showed that: (1) the test samples with the relative error less than 5% of all the 117 test samples accounted for 98.21%, which indicated that the accuracy of BP-ANN model is good; (2) the score of rural land ecological security of Fengdu County in 2014 ranged from 40.47 to 55.73, with a mean value of 49.19; the Global Morans’ I index of rural land ecological security was 0.34, and the space was the autocorrelation; the rural land ecological security status of the northwest region was better than the southeast region; (3) factors influencing the rural land ecological security situation in Fengdu County can be sorted as: biomass and vegetation, soil, landscape diversity, ecological construction and development coordination degree, rainfall, water area. BP-ANN model can partly overcome the error caused by the subjective judgment in the traditional evaluation process, and the accurate evaluation results can also provide guidance to the regional land ecological protection.
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备注/Memo
收稿日期:2016-08-29;改回日期:2016-09-22。
基金项目:“西南山区生态敏感区典型区域土地生态状况信息提取与精细评估”项目（201315106397）
作者简介:杨人豪(1992-),男,四川达州人,硕士研究生,主要从事土地利用与国土规划方面研究。E-mail:swuyrh@126.com
通讯作者:杨庆媛(1966-),女,云南腾冲人,教授,博士生导师,主要研究方向为国土资源与区域规划,土地经济与政策。E-mail:yizyang@swu.edu.cn