基于CA-Markov模型的鄱阳湖区土地利用变化模拟研究
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  • 英文篇名:Simulation of Land-use Change in Poyang Lake Region Based on CA-Markov Model
  • 作者:胡碧松 ; 张涵玥
  • 英文作者:HU Bi-song;ZHANG Han-yue;Key Laboratory of Poyang Lake Wetland and Watershed Research,Ministry of Education,Jiangxi Normal University;Geography and Environment Department,Jiangxi Normal University;
  • 关键词:土地利用变化 ; Logistic回归 ; CA-Markov ; 鄱阳湖区
  • 英文关键词:land-use change;;Logistic regression;;CA-Markov;;Poyang Lake region
  • 中文刊名:CJLY
  • 英文刊名:Resources and Environment in the Yangtze Basin
  • 机构:江西师范大学鄱阳湖湿地与流域研究教育部重点实验室;江西师范大学地理与环境学院;
  • 出版日期:2018-06-15
  • 出版单位:长江流域资源与环境
  • 年:2018
  • 期:v.27
  • 基金:国家自然科学基金项目(41301430);; 江西省重大生态安全问题监控协同创新中心资助项目(JXS-EW-00);; 鄱阳湖湿地与流域研究教育部重点实验室主任特殊基金(TK2013002);; 江西省教育厅科学技术研究项目(GJJ13238);; 江西师范大学青年英才培育资助计划;; 江西省学位与研究生教育教学改革研究项目(XYJG-2014-044)
  • 语种:中文;
  • 页:CJLY201806004
  • 页数:13
  • CN:06
  • ISSN:42-1320/X
  • 分类号:32-44
摘要
以鄱阳湖区为研究区,采用Logistic回归测度不同影响因子与各地类之间的驱动作用,结合Markov预测构建适用于湖区土地利用变化模拟的元胞自动机模型,对模型精度进行检验并对湖区未来土地利用发展趋势进行模拟预测。结果表明:(1)2000~2010年湖区各地类变化幅度呈显著提升趋势,草地是最活跃地类,耕地面积大幅下降,城镇化扩张稳定;(2)不同影响因子对各地类的驱动作用方向与解释能力各不相同,整体解释效果良好,各个ROC检验值均超过了0.81;(3)CA-Markov模型整体Kappa系数>0.85,点对点精度>75%,模拟结果具有较高精度,其中模型对于林地、耕地及水域变化的模拟效果最优;(4)2010~2025年湖区各地类变化幅度有所扩大,但其变化活跃程度趋向稳定;(5)2010~2025年耕地、林地面积减少主要是城市建设用地的侵占所致,其它类型转变为居民用地的单向变化趋势显著,湖区城镇化进程大幅加速,主要集中在昌九一体化城市群区域;(6)2010~2025年草地、未利用土地面积增加主要集中在湖区各区县城镇边缘地带,城镇化进程中绿地保护措施效果明显,但仍容易造成耕地、林地抛荒等状况。
        Taking Poyang Lake region as an example,we applied the Logistic regression to calculate the driving effects between various factors and land-use types. A Cellular Automata model combining the Markov method was built to simulate the land-use change in the Poyang Lake region. We completed the precision tests of the proposed model and predicted the developing trends of the land-use change in the region. The results show that: 1) The variation of land use types in Poyang Lake region had an obvious ascending trend from 2000 to 2010. Grassland was the most active land-use type. The area of cultivated land had sharply declined,and the expansion of the residential land kept stable. 2) The driving directions and the explanatory abilities of different factors had significant differences on influencing land-use change. The overall explanatory effect was good and all the ROC values were higher than 0. 81. 3) The overall Kappa index for the proposed CA-Markov model was higher than 0.85 and the overall precision index was over 75%. It indicated that the model had a high-precision simulation effect and had a good performance in simulating the changes of woodland,cultivated land and water. 4) The variations of the land-use types in Poyang Lake region increased from 2010 to 2025,whereas their active levels had a stable trend. 5) The lost area of cultivated land and woodland was mainly caused by the gain area of the residential land from 2010 to 2025,the land-use change pattern performed a significant one-way transmission trend from other land-use types to the residential land. The regional urbanization accelerated obviously and urban expansion mainly distributed in the Nanchang-Jiujiang metropolitan area. 6) The lost area of grassland and the unused land mainly distributed in the boundary areas of the counties from 2010 to 2025. The regional urbanization had a positive effect on grassland protection,however,it is easy to cause the inefficient use of cultivated land and the woodland.
引文
[1]TURNER B L I,SKOLE D L,SANDERSON S,et al.Land-use and Land-cover change,science/research plan[J].Global Change Report,1995,43(1995):669-679.
    [2]李秀彬.全球环境变化研究的核心领域──土地利用/土地覆被变化的国际研究动向[J].地理学报.1996,51(06):553-558.LI X B.A review of the international researches on land use/land cover change[J].Acta Geographica Sinica,1996,51(06):553-558.
    [3]刘纪远,邓祥征.LUCC时空过程研究的方法进展[J].科学通报,2009,54(21):3251-3258.LIU J Y,DENG X Z.Progress of the research methodologies on the temporal and spatial process of LUCC[J].Chinese Sci Bull,2009,54(21):3251-3258.
    [4]邵一希,李满春,陈振杰,等.地理加权回归在区域土地利用格局模拟中的应用——以常州市孟河镇为例[J].地理科学,2010,30(01):92-97.SHAO Y X,LI M C,CHEN Z J,et al.Simulation on regional spatial land use patterns using geographical weighted regression:a case study of menghe town,Changzhou[J].Scientia Geographica Sinica,2010,30(01):92-97.
    [5]吴桂平,曾永年,邹滨,等.Auto Logistic方法在土地利用格局模拟中的应用——以张家界市永定区为例[J].地理学报,2008,63(02):156-164.WU G P,ZENG Y N,ZOU B,et al.Simulation on spatial land use patterns using auto logistic method:a case study of Yongding county,Zhangjiajie[J].Acta Geographica Sinica,2008,63(02):156-164.
    [6]雷师,全斌,欧阳鸿,等.基于Markov模型的长沙市和泉州市土地利用变化预测及对比研究[J].水土保持研究,2013,20(06):224-229.LEI S,QUAN B,OUYANG H,et al.Prediction and comparison of the land use changes in Changsha city and Quanzhou city based on Markov model[J].Research of Soil and Water Conservation,2013,20(06):224-229.
    [7]VERBURG P H,SOEPBOER W,VELDKAMP A,et al.Modeling the spatial dynamics of regional land use:The CLUES model[J].Environmental Management,2002,30(3):391-405.
    [8]郭延凤,于秀波,姜鲁光,等.基于CLUE模型的2030年江西省土地利用变化情景分析[J].地理研究,2012,31(06):1016-1028.GUO Y F,YU X B,JIANG L G,et al.Scenarios analysis of land use change based on CLUE model in Jiangxi Province by2030[J].Geographical Research,2012,31(06):1016-1028.
    [9]许小亮,李鑫,肖长江,等.基于CLUE-S模型的不同情景下区域土地利用布局优化研究[J].生态学报,2016,36(17):1-10.XU X L,LI X,XIAO C J,et al.Land use layout optimization under different scenarios by using the CLUE-S model[J].Acta Ecologica Sinica,2016,36(17):1-10.
    [10]李明杰,钱乐祥,吴志峰,等.广州市海珠区高密度城区扩展SLEUTH模型模拟[J].地理学报,2010,65(10):1163-1172.LI M J,QIAN L X,WU Z F,et al.The SLEUTH model simulation of high density urban sprawl in Haizhu District of Guangzhou City[J].Acta Geographica Sinica,2010,65(10):1163-1172.
    [11]李志英,刘涵妮,田金欢,等.基于SLEUTH模型的滇池流域城市扩展模拟分析[J].长江流域资源与环境,2014,23(10):1360-1366.LI Z Y,LIU H N,TIAN J H,et al.Simulation studies of urban growth in the Dianchi Lake basin based on SLEUTH model[J].Resources and Environment in the Yangtze Basin,2014,23(10):1360-1366.
    [12]徐春堂.生态城市土地利用系统的系统动力学分析[J].中国土地科学,2008,22(08):18-23.XU C T.Analysis on systematic dynamics of land use system in eco-cities[J].China Land Science,2008,22(08):18-23.
    [13]江立武,余敦.基于系统动力学仿真模型开发区土地集约利用扩展潜力预测——以南昌经济技术开发区为例[J].江西农业大学学报(社会科学版),2013,12(04):545-550.JIANG L W,YU D.Prediction of expand potential of land intensive use based on system dynamics simulation model in development zone—a case study of the Nanchang economic and technological development zone[J].Journal of Jiangxi Agricultural University,Journal of Jiangxi Agricultural University.
    [14]刘小平,黎夏,艾彬,等.基于多智能体的土地利用模拟与规划模型[J].地理学报,2006,61(10):1101-1112.LIU X P,LI X,AI B,et al.Multi-agnet systems for simulating and planning land use development[J].Acta Geographica Sinica,2006,61(10):1101-1112.
    [15]张鸿辉,曾永年,金晓斌,等.多智能体城市土地扩张模型及其应用[J].地理学报,2008,63(08):869-881.ZHANG H H,ZENG Y N,JIN X B,et al.Urban land expansion model based on multi-agent system[J].Acta Geographica Sinica,2008,63(08):869-881.
    [16]符蓉,濮励杰,钱敏,等.区域土地利用变化情景模拟设计与实证分析——基于多智能体系统(MAS)模型[J].资源科学,2012,34(03):468-474.FU R,PU L J,QIAN M,et al.Simulation and empirical analysis of regional land-use change based on Multi-Agent System(MAS)model[J].Resources Science,2012,34(03):468-474.
    [17]刘小平,黎夏,陈逸敏,等.基于多智能体的居住区位空间选择模型[J].地理学报,2010,62(06):695-707.LIU X P,LI X,CHEN Y M,et al.Method exploration of geographical spatial differentiation based on Multi-agent:a case study of urban residential simulations[J].Acta Geographica Sinica,2010,62(06):695-707.
    [18]Li X,Yeh A G.Neural-network-based cellular automata for simulating multiple land use changes using GIS[J].International Journal of Geographical Information Science.2002,16(4):323-343.
    [19]何春阳,史培军,陈晋,等.基于系统动力学模型和元胞自动机模型的土地利用情景模型研究[J].中国科学(D辑:地球科学),2005,35(05):464-473.HE C Y,SHI P J,CHEN J,et al.Scenario modeling of the land use changes based on system dynamics model and cellular automata model[J].Science in China Ser.D Earth Sciences,2005,35(05):464-473.
    [20]LI X,CHEN Y M,LIU X P,et al.Concepts,methodologies,and tools of an integrated geographical simulation and optimization system[J].International Journal of Geographical Information Science.2011,25(4):633-655.
    [21]刘毅,杨晟,陈吉宁,等.基于元胞自动机模型的城市土地利用变化模拟[J].清华大学学报(自然科学版),2013,53(01):72-77.LIU Y,YANG S,CHEN J N,et al.Urban land use changes predictions using a cellular automata model[J].Journal of Tsinghua University(Science&Technology),2013,53(01):72-77.
    [22]杨俊,解鹏,席建超,等.基于元胞自动机模型的土地利用变化模拟——以大连经济技术开发区为例[J].地理学报,2015,70(03):461-475.YANG J,XIE P,XI J C,et al.LUCC simulation based on the cellular automata simulation:a case study of Dalian economic and technological development zone[J].Acta Geographica Sinica,2015,70(03):461-475.
    [23]陆汝成,黄贤金,左天惠,等.基于CLUE-S和Markov复合模型的土地利用情景模拟研究——以江苏省环太湖地区为例[J].地理科学,2009,29(04):577-581.LU R C,HUANG X J,ZUO T H,et al.Land use scenarios simulation based on CLUE-S and Markov composite model—a case study of Taihu Lake rim in Jiangsu Province[J].Scientia Geographica Sinica,2009,29(04):577-581.
    [24]周锐,苏海龙,王新军,等.基于CLUE-S模型和Markov模型的城镇土地利用变化模拟预测——以江苏省常熟市辛庄镇为例[J].资源科学,2011,33(12):2262-2270.ZHOU R,SU H L,WANG X J,et al.Simulation of land use change in Xinzhuang town under different scenarios based on the CLUE-S model and Markov model[J].Resources Science,2011,33(12):2262-2270.
    [25]杨青生,黎夏.多智能体与元胞自动机结合及城市用地扩张模拟[J].地理科学,2007,27(04):542-548.YANG Q S,LI X.Integration of multi-agent systems with cellular automata for simulating urban land expansion[J].Scientia Geographica Sinica,2007,27(04):542-548.
    [26]全泉,田光进,沙默泉.基于多智能体与元胞自动机的上海城市扩展动态模拟[J].生态学报,2011,31(10):2875-2887.QUAN Q,TIAN G J,SHA M Q.Dynamic simulation of Shanghai urban expansion based on multi-agent system and cellular automata models[J].Acta Ecologica Sinica,2011,31(10):2875-2887.
    [27]何丹,金凤君,周璟.基于Logistic-CA-Markov的土地利用景观格局变化——以京津冀都市圈为例[J].地理科学,2011,31(08):903-910.HE D,JIN F J,ZHOU J.The changes of land use and landscape pattern based on Logistic-CA-Markov model-a case study of Beijing-Tianjin-Hebei metropolitan region[J].Scientia Geographica Sinica,2011,31(08):903-910.
    [28]胡雪丽,徐凌,张树深.基于CA-Markov模型和多目标优化的大连市土地利用格局[J].应用生态学报,2013,24(06):1652-1660.HU X L,XU L,ZHANG S S.Land use pattern of dalian city,liaoning province of northeast China based on CA-Markov model and multi-objective optimization[J].Chinese Journal of Applied Ecology,2013,24(06):1652-1660.
    [29]何丹,周璟,高伟,等.基于CA-Markov模型的滇池流域土地利用变化动态模拟研究[J].北京大学学报(自然科学版),2014,50(06):1095-1105.HE D,ZHOU J,GAO W,et al.An integrated CA-Markov model for dynamic simulation of land use change in Lake Dianchi Watershed[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2014,50(06):1095-1105.
    [30]郭斌,张莉,文雯,等.基于CA-Markov模型的黄土高原南部地区土地利用动态模拟[J].干旱区资源与环境,2014,28(12):14-18.GUO B,ZHANG L,WEN W,et al.Simulation of landscape pattern dynamic in the south region of Loess Plateau based on CA-Markov model[J].Journal of Arid Land Resources and Environment,2014,28(12):14-18.
    [31]蒙金华,张正栋,袁宇志,等.基于CA-Markov模型的流溪河流域景观格局分析及动态预测[J].华南师范大学学报(自然科学版),2015,47(04):1-6.MENG J H,ZHANG Z D,YUAN Y Z,et al.Landscape pattern analysis and dynamic prediction of Liuxi basin in South China Based on CA-Markov Model[J].Journal of South China Normal University(Natural Science Edition),2015,47(04):1-6.
    [32]欧定华,夏建国.城市近郊区景观格局变化特征、潜力与模拟——以成都市龙泉驿区为例[J].地理研究,2016,35(03):534-550.OU D H,XIA J G.Characteristics,potential and simulation of landscape pattern change in peri-urban areas:a case of Longquanyi district,Chengdu city[J].Geographical Research,2016,35(03):534-550.
    [33]黎夏,叶嘉安.基于神经网络的元胞自动机及模拟复杂土地利用系统[J].地理研究,2005(01):19-27.LI X,YEH A G.Cellular automata for simulating complex land use systems using neural networks[J].Geographical Research,2005(01):19-27.
    [34]杨青生,黎夏.基于支持向量机的元胞自动机及土地利用变化模拟[J].遥感学报,2006,10(06):836-846.YANG Q S,LI X.Cellular automata for simulating land use changes based on Support Vector Machine[J].Journal of Remote Sensing,2006,10(06):836-846.
    [35]黎夏,刘小平.基于案例推理的元胞自动机及大区域城市演变模拟[J].地理学报,2007,62(10):1097-1109.LI X,LIU X P.Case-based cellular automaton for simulating urban development in a Large Complex Region[J].Acta Geographica Sinica,2007,62(10):1097-1109.
    [36]邱炳文,陈崇成.基于多目标决策和CA模型的土地利用变化预测模型及其应用[J].地理学报,2008,63(02):165-174.QIU B W,CHEN C C.Land use change simulation model based on MCDM and CA and its application[J].Acta Geographica Sinica,2008,63(02):165-174.
    [37]李晖,白杨,李国彦,等.集成灰色分析和元胞自动机用于景观动态模拟[J].生态学报,2009,29(11):6227-6238.LI H,BAI Y,LI G Y,et al.New approach to dynamic modeling the landscape eco-pattern changes using grey analysis and cellular automata[J].Acta Ecologica Sinica,2009,29(11):6227-6238.
    [38]朱会义,李秀彬.关于区域土地利用变化指数模型方法的讨论[J].地理学报,2003,58(05):643-650.ZHU H Y,LI X B.Discussion one the index method of regional land use change[J].Acta Geographica Sinica,2003,58(05):643-650.
    [39]PONTIUS R G,SCHNEIDER L C.Land-cover change model validation by an ROC method for the Ipswich watershed,Massachusetts,USA[J].Agriculture Ecosystems&Environment,2001,85(1-3):239-248.
    [40]黎夏,叶嘉安,刘小平.地理模拟系统:元胞自动机与多智体[M].北京:科学出版社,1999.LI X,YE A G,LIU X P.Geographical Simulation Systems:CA and MAS[M].Beijing:Science Press,1999.
    [41]PONTIUS R G.Quantification error versus location error in comparison of categorical maps[J].Photogrammetric Engineering and Remote Sensing,2000,66(5):1011-1016.

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