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基于CA-Markov模型的天津市土地利用预测研究 被引量:11

Prediction Study on Tianjin Land-use based on CA-Markov Model
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摘要 CA-Markov模型在土地利用研究领域得到了越来越广泛的应用。为了研究天津市土地利用变化规律,以1999、2007两年的同时相ETM/TM遥感影像为数据基础,采用CA-Markov模型,对天津市2015和2023年土地利用空间格局进行动态模拟和预测。结果表明:1999-2007年间,人工湿地和建设用地呈现增加趋势;自然湿地和耕地面积逐年减少,主要是工业、建设用地占用;其余土地类型面积变化不大。CA-Markov模型预测结果表明2007-2015年,2015-2023年土地利用变化保持1999-2007年间的变化趋势,自然景观逐步向人为景观转变。根据预测结果可以合理调整各类型土地格局,为该区土地管理规划提供科学依据。 CA-Markov model has been more and more widely used in the field of land-use study. In order to study the changing law of land use in Tianjin, this paper takes ETM / TM remote sensing images of 1999 and 2007 as basic data; and carries out dynamic simulation and prediction on the landscape pattern of Tianjin from 2015 -2023 by CA-Markov model. The results showed that between 1999 and 2007, the artificial wetland and construction use land showed an increasing trend; while the natural wetland and arable land decreased year by year; the area change of the rest types of land was not big. The result of CA-Markov model predictions showed that the land-use change trends in 2007-2015 and 2015-2023 were similar as that in 1999 -2007, the natural landscape was gradually changed to man-made landscape. The pattern of the various types of land can be reasonably adjusted according to the prediction results, thus providing a scientific basis for land management and planning of this area.
出处 《中国农业科技导报》 CAS CSCD 北大核心 2012年第5期84-89,共6页 Journal of Agricultural Science and Technology
基金 北京市自然科学基金重点项目(09D0297)资助
关键词 动态变化 模拟预测 CA—Markov模型 土地利用 dynamic change simulating prediction CA-Markov model land use
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参考文献14

  • 1唐华俊,吴文斌,杨鹏,陈佑启,Peter H.Verburg.土地利用/土地覆被变化(LUCC)模型研究进展[J].地理学报,2009,64(4):456-468. 被引量:249
  • 2孙贤斌,刘红玉,李玉凤,郝敬锋.基于CA-Markov模型土地利用对景观格局影响辨识[J].生态与农村环境学报,2009,25(1):1-7. 被引量:20
  • 3周成虎,孙战利,谢一春.地理元胞自动机研究[M].北京:科学出版礼,1999,26-49.
  • 4Itami R M. Simulating spatial dynamics: cellular automata theory[J]. Landscape Urban Plan. , 1994,30(1) : 27 -47.
  • 5Balzter H, Braun P W, K,hler W. Cellular automata models for vegetation dynamics [ J ]. Ecolog. Model. , 1998, 107 (2 -3) :113 -125.
  • 6Bollger J, Sprott J C, Mladenoff D J. Self-organization and complexity in historical landscape patterns[J]. OIKOS, 1998, 100(3) :541 -553.
  • 7Li X, Yeh A G O. Neural-network-based cellular automata for simulating multiple land use changes using GIS [ J ]. Int. J. Geogr. Inform. Sci. , 2002, 16(4) : 323 -343.
  • 8Li X, Yeh A G O. Datamining of cellular automatas' transitionrules[J]. Int. J. Geogr. Inform. Sci., 2004, 18 (8) : 723 -744.
  • 9Hulst R. On the dynamics of vegetation: Markov chains as models of succession[ J]. Vegetation, 1979, 40 : 3 - 14.
  • 10Lippe E, de Smidt J T, Glenn-Lewin D C. Markov models and succession: a test from a heathland in the Netherlands[ J]. J. Ecol. ,1985,73:775 -791.

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