自然资源学报

自然资源学报 ›› 2013, Vol. 28 ›› Issue (8): 1395-1403.doi: 10.11849/zrzyxb.2013.08.012

• 资源研究方法 • 上一篇    下一篇

基于WNN模型的土地利用方式决策研究

韩璐1, 谢俊奇2   

  1. 1. 浙江财经大学 经济与社会发展研究院, 杭州 310018;
    2. 北京市国土资源局, 北京 100013
  • 收稿日期:2012-08-27 修回日期:2012-12-09 出版日期:2013-08-20 发布日期:2013-08-19
  • 作者简介:韩璐(1982- ),女,辽宁沈阳人,助理研究员,博士,主要研究方向为土地利用决策、土地信息技术与应用。E-mail: sara_hh@126.com
  • 基金资助:
    浙江省教育厅科研项目(Y201225542)。

A Study on Land Utilization Decision Making Based on WNN Model

HAN Lu1, XIE Jun-qi2   

  1. 1. Institute of Economic and Social Development, Zhejiang University of Finance & Economics, Hangzhou 310018, China;
    2. Beijing Municipal Bureau of Land and Resources, Beijing 100013, China
  • Received:2012-08-27 Revised:2012-12-09 Online:2013-08-20 Published:2013-08-19

PDF (PC)

赞

被引次数

2 | 2

摘要： 基于小波神经网络(WNN)模型的土地利用方式决策研究为实现土地的可持续利用以及社会效益、经济效益和生态效益的最大化提供了决策依据。论文采用WNN模型,通过利用甘肃省榆中盆地第二次全国土地调查数据,构建了土地利用方式决策分析模型,分析出农业生产、建设发展和生态保护三种需求条件下的土地利用方式类型。结果表明:①榆中盆地农业生产需求用地的土地利用方式主要以半粗放利用为主;②建设发展需求用地的土地利用方式以过渡型利用为主,且偏于粗放利用;③生态保护需求用地的土地利用方式以半粗放和粗放利用为主。论文运用WNN模型对土地利用方式决策进行研究具有较好的科学性和可操作性。

关键词: 农业经济, 土地利用强度指数, 土地利用方式决策, 小波神经网络(WNN)模型, 土地利用效益指数

Abstract: The purpose of this paper is to discuss the land utilization decision making based on WNN model in the three needs of agricultural production, construction and development, and ecological protection, which can provide references for sustainable use of land resources and ensuring the coordinated development with economic benefits, social benefits and ecological benefits. Method of wavelet neural network (WNN) model was employed. The results indicate that the WNN model of land utilization was built by using the data of the Second National Land Survey in Yuzhong basin, which has obtained different types of land utilization in the three needs: 1) in agricultural production needs, Jinya is in a semi-intensive used state, Chengguan, Xiaguanying, Dingyuan and Xiaogangying are in a semi-extensive used state, and Heping and Lianda are in an extensive used state. The land input-output ratio in the agricultural production needs is uncoordinated. 2) Land utilization type for the construction and development needs in Yuzhong basin is in an extensive transition used state. Jinya is in a semi-intensive used state, Heping, Dingyuan and Lianda are in a semi-extensive used state, Chengguan and Xiaguanying are in an extensive used state. A good proportion of the land input-output in the construction and development needs hasn’t been achieved. 3) In ecological protection needs, land utilization in Yuzhong basin is in a semi-extensive and extensive used state. Heping, Dingyuan, Lianda and Jinya are in a semi-extensive used state, meanwhile, Chengguan and Xiaguanying are in an extensive transition used state. The conclusions are as follows: 1)the needs of different conditions and efficiency must be considered in the study of land utilization decision making. And then, decision-making analysis is made for different land use types for achieving the optimal allocation and sustainable use of land resources, improving land use and management level, and ensuring the coordinated development with economic benefits, social benefits and ecological benefits; 2) WNN model is more scientific and operational to the study of land utilization decision making.

Key words: wavelet neural network(WNN)model, land use efficiency index, agricultural economy, land utilization decision, land use intensity index

中图分类号: 

  • F301.2