基于收集到的东太平洋海隆北段Juan de Fuca Ridge热液活动区的高精度多波束声纳数据,应用加权移动平均算法,生成典型的高精度海底DTM;应用声纳图像处理技术,生成高分辨率海底声纳镶嵌图,并对其海底地形及海底声学图像进行处理和分析。通过处理与分析,对JFR热液区海底地形地貌特征有了初步认识,对于我国大洋调查和海底热液区探测具有一定的借鉴作用。
This paper investigates the size distribution of submarine landslides on the middle continental slope of the East China Sea (ECS) using the size of the landslide source regions. Geomorphometric mapping is used to identify 102 mass movements from multibeam bathymetric data and to extract morphological information about the head scarps and side walls. These mass movements have areas ranging between 0.06 km2 and 15.51 km2 and volumes between 0.002 km3 and 2 km3. The area vs volume relationship of these failure scarps is approximately linear, suggesting a fairly uniform failure thickness in each event with scarce deep excavating landslides. The cumulative area distribution of the slope failures can be described by an inverse power law. The submarine landslides on the mid-ECS continental slope could be considered as a large-scale self-organizing system because they have the characteristics of a dissipative system in a critical state.
HU GuanghaiYAN TongLIU ZhenxiaMaarten VannesteDONG Lifeng
