摘要
客观定量地确定沉积动力环境分区是理解区域沉积动力过程的重要基础。本文以黄河水下三角洲表层沉积物的粒度分析数据为基础,运用模糊c均值聚类(FCM)等方法对该区域的沉积动力环境进行了分类、识别、分区及制图表达。结果表明,研究区域的沉积动力环境可分为3个类别,分别代表了冲刷、冲淤混合和淤积3类不同形式的沉积动力环境。各类别沉积动力环境的隶属度分布图具有指示其在不同空间位置处出现的可能性大小及其优势分布区的作用,而由模糊隶属度值生成的沉积动力环境分区图也与研究区域实际的沉积动力空间格局有着较高的吻合度,表明制图结果是合理和有效的。研究结果可为黄河三角洲滨海区地貌演变趋势分析和海岸防护提供重要的参考价值。
Reasonably and quantitatively determining subdivisions of sedimentary dynamic environment is an important basis of understanding regional sedimentary dynamic processes. Based on the grain distribution data of the surface sediment samples, the sedimentary dynamic environment in the Yellow River subaqueous delta area has been classified, identified and represented by the methods of fuzzy c-means clustering （FCM）, triangle illustration and kriging. The results show that the sedimentary dynamic environment of the study area can been classified into 3 categories and they indicate the dynamic sedimentary environments of scour, deposition and mixing of scour and deposition, respectively. And the membership degree maps of the three categories of sedimentary dynamic environ- ments have a function of indicating the occurance probabilities of the different environments at certain places and al- so can show their dominant areas. Meanwhile the sedimentary dynamic environment map, generated from the fuzzy membership degree values of the surface sediments, is highly identical with the spatial distribution pattern of the sedimentary dynamics in the study area, which means the mapping results are reasonable and effective. The study results have some reference values for the geomorphic evolution trend analysis and coastal protection work in the area of the Yellow River Delta.
出处
《海洋学报》
CAS
CSCD
北大核心
2016年第9期89-99,共11页
基金
国家自然科学基金项目(41306077)
淮海工学院自然科学基金项目(Z2014017)
教育部高等学校青年骨干教师国内访问学者项目
关键词
粒度
沉积动力环境
模糊C均值聚类
FCM
分区
黄河水下三角洲
grain size
sedimentary dynamic environment
fuzzy c-means clustering
FCM
subdivision
YellowRiver subaqueous delta
