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作 者:张丹丹[1] 杨晓梅[1] 苏奋振[1] 杜云艳 孙晓宇[1] 薛振山[1]
机构地区:[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101
出 处:《资源科学》2010年第8期1551-1557,共7页Resources Science
基 金:国家973项目(编号:2006CB701305);国家863项目(编号:2009AA12Z148)
摘 要:综合运用GIS空间分析和数字地形分析方法,以地处海陆交接部位、具有优越地理区位和自然环境优势的大亚湾海岸带为研究区,利用我国1980年-1986年海岸带调查数据和2004年的908遥感调查数据对研究区的土地利用时空分异规律,及其与地貌因子的关系进行定量分析。结果表明:①大亚湾近岸陆域和潮间带滩涂的开发利用变化受到高程、坡度和地貌成因不同程度的影响,其中,高程和坡度对海湾近岸土地利用变化的影响较大,尤其是对农业用地,而地貌成因对其影响相对较小;②大亚湾近岸0~30m高程范围内,各种海湾开发利用类型变化最为显著;③大亚湾近岸农用地变化受坡度、高程影响较大,相关系数达到了0.8438和0.6857;林草地变化受地貌成因的影响较大,其相关系数为0.9344;水域变化受坡度的影响相对较大,相关性系数为0.4573。Located in the transition zones between the land and the sea, landform categories of coastal zones have particular effects on utilization of land resources of bays. On the other hand, frequent exploitative activities of human beings can reshape some fragile landform types. Studying the relationship between land use change and landform categories of bays is therefore meaningful for evaluation of land use formation and detection of coastal land degradation as well as effective management and reasonable exploitation of bays. Nevertheless, the existing research seems to less investigate the mechanisms of the interaction between geomorphologic factors and spatio-temporal change of land use over coastal areas due to complicated characteristics of the coastal geomorphology. This paper aims to analyze the spatio-temporal differences in land use change over the Daya Bay, a body of water located east of Hong Kong and Guangdong Province, and its correlation with landform factors using spatial analysis, DEM, and data of China's coastal zone surveys during the period 1980-1986, as well as the latest "908 remote sensing survey" undertaken in the year 2004. Results showed that: 1) the land use change of the offshore areas of the Daya Bay was generally influenced by elevation, slope and landform with varying degrees, with showing somewhat higher degree of the influence of altitude and slope, especially for agricultural land; the influence of landform was rather low; 2) changes in five land use categories were more obvious ranging in elevation from roughly 0 m to 30 m, and 3) for the five land use types under investigation, agricultural land change was more sensitive to slope and altitude, implying correlative coefficients of 0.8438 and 0.6857, respectively; while woodland tended to be more affected by landform with a correlation coefficient of 0.9344. Concerning water bodies, they were found to be primarily influenced by slope with a correlation coefficient of 0.4573. It was noted that the land use change of the of
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