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辽宁省海岸线时空变化及驱动因素分析 被引量:25

Spatial-Temporal Change of Coastline in Liaoning Province and Its Driving Factor Analysis
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摘要 借助遥感与GIS技术,以10期MSS、TM、ETM和CBERS影像为数据源,通过人机交互式解译方式提取海岸线,并将定量分析与定性分析结合,建立海岸线与自然、经济和社会因素的灰色关联模型,探究海岸线变化的驱动因素。研究表明:1978-2008年,辽宁省海岸线呈现快速缩短、缓慢缩短和稳定变化3个阶段,海岸线长度变化最大的是大连市,淤泥质海岸是海岸线变化最显著的地带。海岸线变化是自然、经济和社会诸因素综合作用的结果,驱动因素在空间上存在分异。 In this paper,the spatial-temporal change characteristics and the driving force of the coastline of Liaoning Province were mainly studied,the techniques of RS and GIS were taken as the main study tools,and the remote sensing imagine of 10 periods were the main data source.The data of coastline were extracted through man-machine interactive interpretation,and on this base,the Gray Correlation Model about the coastline and natural,economic and social factors was built,the model was applied to explore the driving factors of coastline change.The result showed that,during 1978 to 2008,the coastline length change in Liaoning Province can be divided into three periods,namely fast decrease,slowly decrease and stable periods,the city whose coastline length change most is Dalian,and the zone which is of most significant change is the muddy coast.Three major driving forces for the evolution of the coastline are the natural factors,economic factors and demographic factors,and the driving factors are different in space.
出处 《地理与地理信息科学》 CSSCI CSCD 北大核心 2010年第3期63-67,共5页 Geography and Geo-Information Science
基金 辽宁省教育厅创新团队课题(2008T100)
关键词 海岸线 时空变化 灰色关联度 驱动因素 coastline spatial and temporal change gray correlation degree driving factor
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