期刊文献+

基于序列模式的土地利用变化分析——以广西壮族自治区为例 被引量:7

Analysis of land use change based on sequence model:Taking Guangxi Zhuang Autonomous Region as an example
原文传递
导出
摘要 土地利用变化是一个长期的过程,同时具有一定的复杂性。传统的转移矩阵方法只能在两期土地利用数据之间相互比较而不能总结长期整体的变化规律,频繁项集不能导出变化序列。针对这些方法的不足,本文提出了基于序列模式的土地利用变化序列分析模型。首先给出土地序列数据库的定义,然后根据土地序列数据实际特点和垂直格式的序列模式SPADE算法,给出土地变化序列模式的计算过程和方法。在以中国广西为实例的研究中,计算了1970s-2015年共7期22种二级土地利用类型的变化序列。研究区土地利用变化主要发生在林地之间,部分林地转换为厂矿、采石场、交通道路等建设用地类型;城镇用地主要由旱地和水田转换而来;在研究期内没有任何一个土地单元转化成水田。 Land use change is a long-term process with certain complexity. The traditional transfer matrix method can only compare the two phases of land use data, but cannot summarize the long-term overall change law. The frequent itemsets method cannot derive the sequence trajectory. To overcome the shortcomings of these methods, this paper proposes a land use change model based on sequence model. According to the actual characteristics of land sequence data and the vertical format sequence pattern SPADE algorithm, taking Guangxi,China as an example, we calculated the sequence of 22 secondary land use types in 7 periods from 1970 s to 2015. The results show that, in the 35 years, land use types changed in 6.58% of Guangxi, and the change areas were mainly concentrated in roads, towns and settlements;the top 3 types of land use change 1-sequence support degree in Guangxi are {wood land}, {other wood land} and {sparse forest land}, and the support degree values are 0.5109, 0.3810 and0.2333, respectively. The top 3 types of the 2-sequence support degree are {wood land, other wood land}, {other wood land, wood land} and {sparse forest land, wood land}, and the support degree values are 0.2040, 0.0699 and 0.0640, respectively. The top 3 types of the 3-sequence support degree are {sparse forest land, other wood land, wood land}, {sparse forest land, wood land, other wood land} and {high coverage grassland, wood land, other wood land}, and the support degree values are 0.0065, 0.0044 and 0.0031, respectively. The land use change 3-sequence {with forest land, other woodland, and other construction sites} has a support degree of 0.0007. The land use change in the study area mainly occurs in forest land,and some forest land is converted into construction land types such as mines, quarries and traffic roads;urban land is mainly converted from dry land and paddy fields;there is no land unit converted into paddy fields during the study period. The land use change sequence analysis model proposed in this paper can calculate the sequence of multi-period land use change as a whole, and make up for the shortcomings of studying land use change from a long-term scale.
作者 廖伟华 聂鑫 蒋卫国 LIAO Wei-hua;NIE Xin;JIANG Wei-guo(College of Mathematics and Information Science,Guangxi University,Nanning 530004,China;School of Public Administration,Guangxi University,Nanning 530004,China;State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China)
出处 《自然资源学报》 CSSCI CSCD 北大核心 2020年第5期1160-1171,共12页 Journal of Natural Resources
基金 国家自然科学基金项目(71763001,71973038) 国家重点研发计划专项项目(2016YFC0503002) 广西重点研发计划项目(桂科AB18126007)。
关键词 土地利用变化 序列模式 SPADE算法 长期变化 广西 land use change sequence model SPADE algorithm long term change Guangxi
  • 相关文献

参考文献4

二级参考文献52

  • 1丁文峰,张平仓,陈杰.城市化过程中的水环境问题研究综述[J].长江科学院院报,2006,23(2):21-24. 被引量:43
  • 2刘彦随.保障我国土地资源安全的若干战略思考[J].中国科学院院刊,2006,21(5):379-384. 被引量:69
  • 3Feng X M, Sun G, Fu B J et al., 2012. Regional effects of vegetation restoration on water yield across the Loess Plateau, China. Hydrology and Earth System Sciences, 16: 2617-2628.
  • 4GLP Science Plan and Implementation Strategy (GLP), 2005. IGBP Report No. 53/IHDP Report No.19, Stockholm. 64.
  • 5Herrick J E, Urama K C, Karl JWcf al., 2013. The global land-potential knowledge system (land PKS): Supporting evidence-based, site-specific land use and management through cloud computing, mobile applications, and crowdsourcing. Journal of Soil and Water Conservation, 68(1): 5-12.
  • 6Huang B W, 1959. Draft of the complex physical geographical division of China. Kexue Tongbao (Chinese Science Bulletin), 18: 594-602. (in Chinese).
  • 7Jin S M, Yang L M, Danielson et al., 2013. A comprehensive change detection method for updating the national land cover database to circa 2011. Remote Sensing of Environment, 132: 159-175.
  • 8Kuang W H, Liu J Y, Zhang Z X et al., 2013. Spatiotemporal dynamics of impervious surface areas across Chinaduring the early 21st century. Chinese Science Bulletin, 14: 1-11.
  • 9Lambin E F, Baulies X, Bockstael N et al., 1995. Land-use and land-cover change (LUCC): Implementation strategy. A core project of the International Geosphere-Biosphere Programme and the International Human Dimensions Programme on Global Environmental Change. IGBP Report 48. IHDP Report 10. IGBP, Stockholm, 125.
  • 10Liu J Y, 1996. Macro-scale Survey and Dynamic Study of Natural Resources and Environment of China by Remote Sensing. Beijing: China Science and Technology Press, (in Chinese).

共引文献319

同被引文献151

引证文献7

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部