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作 者:梁娟娟[1] 杨耀民 朱志伟[1] 杜德文[1] 王春娟[1] 叶俊[1] 闫仕娟[1] 杨刚[1]
机构地区:[1]国家海洋局第一海洋研究所,山东青岛266061 [2]国家深海基地管理中心,山东青岛266061
出 处:《海洋科学进展》2015年第3期305-312,共8页Advances in Marine Science
基 金:中国大洋矿产资源研究开发协会"十二五"课题--大西洋多金属硫化物成矿潜力与资源环境评价(DY125-12-R-01)和富钴结壳潜在资源评价及空间预测(DY125-13-R-03)
摘 要:基于ArcGIS平台提取水深、坡度、粗糙度等地形特征,采用全覆盖多波来声纳测深数据,将南大西洋中脊研究区划分为4 267个统计单元,提取单元内地形特征的统计参数:均值、方差、最大值、最小值;经过统计筛选,最终选取水深均值、方差、最大值、最小值,坡度均值、方差、最大值、最小值共8个变量参与地形分类;利用K-均值方法进行非监督分类,将4 267个统计单元划分为5类地形,其中1 300个统计单元为裂谷,671个为裂谷壁,150个为内角高地斜坡,1 052个为高粗糙度的高地,1 093个为低粗糙度的次高地。将地形类型与地质调查结果进行初步关联,计算各类地形100网格见矿率系数,得到"内角高地斜坡"为热液硫化物发育的大概率地形类型,建议作为后继调查的重点勘探靶区。Based on the full coverage data of multi-beam sonar bathymetry,and data for water depth,slope,roughness of terrains extracted by means of ArcGIS platform,we divided the south Atlantic ridge area into 4 267 statistical units and obtained a series of statistical parameters of terrain features such as the mean,variance,maximum,minimum vaues.After screening the data,eight factors including the mean,variance,maximum,minimum values of the water depths and slopes,has been chosen as the basis of terrain classification.These factors,combined with the method of K means as unsupervised classification,have been used to divid the above 4 267 units into the following five types of landforms,i.e.,1 300 statistical units for rift valley landform,671 units for the rift valley wall land form,150 units for highland of interior cape landform,1 052 units for high roughness highland landform,1 093 units for low roughness of highland landform.Finally,we conducted a preliminary analysis for the relationship between the landform types with geological survey results,and counted the mine seeing probability of 100 statistics units of each landform,and then concluded that the tectonic location of " highland of inside corner" is most favorable site for the occurrence of sulfide mines,which can be regarded as a key prospecting target areas in the near future.
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