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基于SLEUTH模型的沈阳-抚顺都市区城市规划

  • 郗凤明 ,
  • 胡远满 ,
  • 贺红士 ,
  • 石铁矛 ,
  • 布仁仓 ,
  • 吴晓青 ,
  • 朱京海
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  • 1. 中国科学院沈阳应用生态研究所,沈阳 11001
    2. 中国科学院研究生院,北京 10004
    3. 沈阳建筑大学,沈阳 11016
    4. 中国科学院烟台海岸带可持续发展研究所,烟台 26400
    5. 辽宁省环境保护局,沈阳 110002

收稿日期: 2008-11-10

  修回日期: 2009-06-02

  网络出版日期: 2009-11-15

基金资助

中国科学院知识创新项目(O6LYQY1001)和国家科技支撑项目(2006BAJ10B05-03,2006BAJ11B04-2)资助 

Urban planning based on SLEUTH model in Shenyang-Fushun metropolitan area

  • XI Feng-Ming ,
  • HU Yuan-Man ,
  • HE Hong-Shi ,
  • SHI Tie-Mao ,
  • BU Ren-Cang ,
  • WU Xiao-Qing ,
  • ZHU Jing-Hai
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  • 1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
    2. Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;
    3. Shenyang Jianzhu University, Shenyang 110168, China;
    4. Institute of Coastal Zone Research for Sustainable Development, Chinese Academy of Sciences, Yantai 264003, China;
    5. Environment Protection Bureau of Liaoning Province, Shenyang 110002, China

Received date: 2008-11-10

  Revised date: 2009-06-02

  Online published: 2009-11-15

摘要

利用SLEUTH模型,在3种规划预案下研究沈阳-抚顺都市区城市规划。结果表明,低生态保护的城市增长预案导致了城市快速扩张和农田、林地等其他景观类型面积迅速减少.严格的生态保护规划预案虽然能很好地保持聚集的城市增长格局,减少对其他景观的侵占,但限制了城市增长速度,与区域经济发展现状相矛盾.如果扩散的城市增长格局能得到进一步的控制,适当生态保护的城市增长预案将是沈阳-抚顺都市区未来发展的推荐预案.

本文引用格式

郗凤明 , 胡远满 , 贺红士 , 石铁矛 , 布仁仓 , 吴晓青 , 朱京海 . 基于SLEUTH模型的沈阳-抚顺都市区城市规划[J]. 中国科学院大学学报, 2009 , 26(6) : 765 -773 . DOI: 10.7523/j.issn.2095-6134.2009.6.006

Abstract

This paper studied the urban planning in Shenyang-Fushun metropolitan area under 3 scenarios using SLEUTH model. The results showed that the low ecological protection scenario resulted in rapid urban sprawl and area decrease of farmland, forest, and other landscape types. The stringent ecological protection scenario well kept compact urban growth pattern and led to low occupation on other landscape types, but urban growth rate was limited in conflict with the regional economic development. The moderate ecological protection scenario is recommended for future development of this area if the diffused urban growth pattern is further controlled.

参考文献


[1] Li X. Measurement of rapid agricultural land loss in the pearl river delta with the integration of remote sensing and GIS
[J]. Environment and Planning B,1998,25: 447-461.

[2] Ma L J C. Economic reforms, urban spatial restructuring, and planning in China
[J]. Progress in Planning, 2004, 61:237-260.

[3] Xie Y, Yu M, Bai Y, et al. Ecological analysis of an emerging urban landscape pattern-desakota: a case study in Suzhou, China
[J]. Landscape Ecology, 2006,21:1297-1309.

[4] Tang H Y. Science of city
[M]. Harbin Institute of Technology Press, 2004.

[5] Dietzel C, Clarke K C. The effect of disaggregating land use categories in cellular automata during model calibration and forecasting
[J]. Computers, Environment and Urban Systems, 2006, 30: 78-101.

[6] Clarke K C, Gaydos L J. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore
[J]. International Journal of Geographical Information Science, 1998, 12: 699-714.

[7] Clarke K C. Land use change modeling using SLEUTH //National Central University, ed. Advanced Training Workshop on Land Use and Land Cover Change Study. Taiwan, 2002:1-4.

[8] Dietzel C, Clarke K C. Replication of spatio-temporal land use patterns at three levels of aggregation by an urban cellular automata
[M]. Berlin: Springer Press, 2004.

[9] 吴晓青. 沈阳市城市扩展分析与模拟研究 . 沈阳:中国科学院沈阳应用生态研究所,2007.

[10] Jantz C A, Goetz S J, Shelley M K. Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Baltimore/Washington metropolitan area
[J]. Environment and Planning B: Planning and Design, 2003, 31: 251-271.

[11] Jantz C A, Goetz S J. Analysis of scale dependencies in an urban land use change model
[J]. International Journal of Geographical Information Science, 2005, 19: 217-241.

[12] Wu X Q, Hu Y M, He H S, et al. Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of Northeastern China
[J]. Environ Model Assess, 2009, 14:221-230.

[13] Clarke K C, Gaydos L J. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore
[J]. International Journal of Geographical Information Science, 1998, 12: 699-714.

[14] Gazulis N, Clarke K C. Exploring the DNA of our regions: Classification of outputs from the SLEUTH Model
[M]. Berlin: Springer Press, 2006.

[15] Silva E A. The DNA of our regions: Artificial intelligence in regional planning
[J]. Futures, 2004, 36: 1077-1094.

[16] Xi F M, He H S, Hu Y M, et al. Simulation and prediction of urban and rural settlement growth and land use change in Yingkou city
[J]. Chinese Journal of Applied Ecology, 2008,19(7):1529-1536(in Chinese). 郗凤明,贺红士,胡远满,等. 营口市城市及村镇聚落增长与土地利用变化的模拟预测
[J]. 应用生态学报,2008,19(7):1529-1536.

[17] Goldstein N C, Brains vs. Brawn: Comparative strategies for the calibration of a cellular automata-based urban growth model //Atkinson P, Foody G, Darby S, Wu F(eds). GeoDynamics. Boca Raton, FL: CRC Press, 2004.

[18] Dietzel C, Clarke K C. Toward optimal calibration of the SLEUTH land use model
[J]. Transactions in GIS, 2007, 11(1): 29-45.

[19] Bu R C, Chang Y, Hu Y M, et al. Measuring spatial information changes using Kappa coefficients:A case study of the city groups in central Liaoning province
[J]. Acta Ecologica Sinica, 205, 25(4):778-784(in Chinese). 布仁仓,常 禹,胡远满,等.基于Kappa系数的景观变化测度——以辽宁省中部城市群为例
[J]. 生态学报,2005,25(4): 778-784.

[20] 刘 淼. 岷江上游地区景观格局与生态承载力变化及预测研究 . 沈阳:中国科学院沈阳应用生态研究所, 2007.

[21] Kuang W H, Zhang S W. Analyzing the information entropy and fractal dimension of urban land use spatial evolving process from 1900 to 2004 in Changchun city
[J].Journal of the Graduate School of the Chinese Academy of Sciences, 2007,24(1):73-80(in Chinese). 匡文慧, 张树文. 长春市百年城市土地利用空间结构演变的信息熵与分形机制研究
[J]. 中国科学院研究生院学报,2007, 24(1):73-80.

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