资源与产业 ›› 2015, Vol. 17 ›› Issue (5): 41-45.DOI: 10.13776/j.cnki.resourcesindustries.20150804.006

• 资源管理 • 上一篇    下一篇

基于遗传模拟退火算法的国土多功能利用综合分区研究——以河南省为例

郭艳*,康鸳鸯,刘晓丽   

  1. (河南省国土资源科学研究院,河南 郑州 450053)
  • 收稿日期:2015-03-30 修回日期:2015-06-29 出版日期:2015-10-20 发布日期:2015-10-20
  • 基金资助:
    国土资源部公益性行业科研项目(201011018)

A CASE STUDY ON HENAN PROVINCE: COMPREHENSIVE ZONATIONOF LAND MULTIFUNCTIONAL USE BASED ON GENETICALGORITHM AND SIMULATED ANNEALING

GUO Yan*, KANG Yuan-yang, LIU Xiao-li   

  • Received:2015-03-30 Revised:2015-06-29 Online:2015-10-20 Published:2015-10-20

摘要: 国土多功能利用综合分区是国土规划重要的研究内容,是发挥区域功能优势进行国土资源多功能利用的基础。以国土资源可持续发展为目的,在全国多功能利用评价指标体系的基础上,结合河南省实际情况,从社会、经济、资源和生态环境4个方面选取构建河南省国土多功能区划评价指标体系(4个一级指标,10个二级指标,41个三级指标)。采用遗传算法、模拟退火算法和模糊C-均值聚类算法相结合的混合模糊聚类方法,对河南省18个省辖市进行量化分区。研究结果是将河南省分为重点发展类国土综合功能区、综合发展类国土综合功能区、生态优先类综合功能 区和农业优先类综合功能区,并将分区结果与河南省土地利用综合分区进行对比,验证了该研究方法的有效性。

关键词: 遗传模拟退火算法, 模糊聚类分析, 国土多功能, 河南省

Abstract: Comprehensive zonation of land multifunctional use is a corein land planning, and is a basis in full using regional functional advantages. This paper, aiming at the sustainable development of land resources, selects from society, economy, resources and ecological environment to establish an index system to evaluate Henan's land multifunctionalzonation, including 4 tier 1, 10 tier 2 and 41 tier 3 indexes, applies genetic algorithm, simulated annealing, and fuzzyC mean Clustering algorithm to quantitatively zone Henan's 18 cities, which are zoned as key developing, comprehensive developing, ecologypreferred developing, and agriculturepreferreddeveloping zones. This method has been proved effective by the results compared with Henan's land use comprehensive zonation.

Key words: genetic algorithm simulated annealing, fuzzy clustering analysis, land multifunction, Henna province

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