地理学报

地理学报 ›› 2010, Vol. 65 ›› Issue (9): 1137-1145.doi: 10.11821/xb201009011

• 地理信息科学 • 上一篇    下一篇

基于耦合地理模拟优化系统GeoSOS的农田保护区预警

陈逸敏1, 黎夏1, 刘小平1, 李少英2   

  1. 1. 中山大学地理科学与规划学院,广州510275;
    2. 中山大学管理学院,广州510275
  • 收稿日期:2010-02-26 修回日期:2010-04-01 出版日期:2010-09-20 发布日期:2010-09-20
  • 通讯作者: 黎夏, 男, 教授, 从事地理信息科学与遥感研究, 发表有关论文200 多篇。E-mail: lixia@mail.sysu.edu.cn
  • 作者简介:陈逸敏, 男, 博士研究生。研究方向为地理模拟与优化。E-mail: bikeystuart@yahoo.com.cn
  • 基金资助:

    国家自然科学基金重点资助项目(40830532); 国家杰出青年基金资助项目(40525002);国家自然科学基金资助项目(40901187)、广东省自然科学基金项目(9451027501002471)

Coupling Geosimulation and Optimization (GeoSOS) for Zoning and Alerting of Agricultural Conservation Areas

CHEN Yimin1, LI Xia1, LIU Xiaoping1, LI Shaoying2   

  1. 1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
    2. School of Business, Sun Yat-sen University, Guangzhou 510275, China
  • Received:2010-02-26 Revised:2010-04-01 Online:2010-09-20 Published:2010-09-20
  • Supported by:

    Foundation: Key National Natural Science Foundation of China, No.40830532; National Outstanding Youth Foundation of NSF of China, No.40525002; National Natural Science Foundation of China, No.40901187; Guangdong Provincial Natural Science Foundation, No. 9451027501002471]

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被引次数

43

摘要：

依据农田保护区规划与城市发展模拟相耦合的新思路，开展农田保护区预警研究。以广东番禺为实验区，首先利用基于多智能体的空间优化配置模型(AgentLA) 自动生成农田保护区范围。AgentLA模型能避免产生分散、破碎的空间格局，有利于保护区的管理和维护。通过地理模拟优化系统GeoSOS中的神经网络CA模型对研究区2025 年的城市发展格局进行三个情景的模拟：低速增长情景、基准情景和高速增长情景。最后利用GIS空间分析方法将预测结果与农田保护区相结合，提取农田保护与城市扩张产生冲突的区域。总体上，冲突的严重程度随着空间上城市扩张强度的增大而加剧，高速增长情景中冲突区域的面积较大。冲突区域的存在一方面说明了农田保护区需要相应的法律、法规支持，否则可能会因城市扩张而被侵占；另一方面也反映了农田保护与地区发展之间的冲突。因此，可以根据所提取的冲突区域面积大小、空间位置等特征，采取某种形式补偿，以此取得农田保护与地方利益之间的平衡。

关键词: 农田保护区, 地理模拟优化系统, GeoSOS, AgentLA, 番禺

Abstract:

Rapid urban expansion in China has caused the significant loss of agricultural land. Specific efforts are made by the country to protect its scarce and valuable agricultural land. The State Council promulgated the Ordinance for the Protection of Primary Agricultural Land in 1994 to promote the zoning of agricultural conservation areas. However, the agricultural land still underwent a rapid loss due to the urgent demand of local economic development. The conflict between protection and local development calls for solution. This paper provides a new thought of integrating urban development into the zoning of agricultural conservation areas, and Panyu district in Guangdong province is selected for a case study. The proposed Agent-based Land Allocation (AgentLA) model is used to automatically generate the spatial distribution of agricultural conservation areas. Compared to conventional methods, the resulted pattern from AgentLA is more compact that favors routing maintenance of the conservation areas. Moreover, the future development of the region is predicted using Geographical Simulation and Optimization System (GeoSOS), a platform for geosimulation. Finally, GIS provides the function to combine the zoning result and the predicted development pattern in order to recognize the spatial distribution of the conflict areas.

Key words: agricultural conservation areas, geosimulation and optimization, GeoSOS, AgentLA, Panyu