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利用大洋多金属结核矿区调查过程中4个航次所得的600多组表层沉积物物性测试资料,将矿区的沉积物分为5种类型,并分析了这些沉积物的物理性质,同时,运用回归分析方法,统计分析了不同类型沉积物的含水量、湿密度、孔隙比与埋藏深度的关系,以及各物性指标之间的相关关系。结果表明:(1)大洋多金属结核矿区表层沉积物均为粉质土,黄棕色粉质土是西部矿区的主要沉积物类型,棕黄色粉质土是东部矿区的主要沉积物类型;(2)除褐色粉质土外,其余4种类型土的含水量、孔隙比均随埋藏深度的增加而减少和降低,湿密度则随深度增加而增大;(3)各类土的物性指标与埋藏深度的相关性甚好,因而可以利用埋藏深度对矿区的沉积物进行物性指标预测;(4)含水量、孔隙比、湿密度等物性指标之间呈线性相关,其中含水量与孔隙比的相关性最为密切,呈明显线性关系。
Based on more than 600 sets of physical property test data of surface sediments obtained from 4 voyages during the survey of the oceanic polymetallic nodule mining area, the sediments of the mining area are classified into five types and the physical properties of the sediments are analyzed. At the same time, regression analysis Methods The relationship between water content, wet density, porosity ratio and burial depth of different types of sediment and the correlation between various physical indexes were analyzed statistically. The results show that: (1) The surface sediments of the oceanic polymetallic nodule mining area are silty soil. The yellowish brown silty soil is the main sediment type in the western mining area. The brownish silty soil is the main sediment type in the eastern mining area. (2) ) Except for brown silty soil, the other four types of soil moisture content, porosity ratio decreases and decreases with the increase of burial depth, wet density increases with depth; (3) The physical properties of various types of soil indicators So the depth of burial depth can be used to predict the physical properties of sediments. (4) The water content, porosity and wet density are linearly correlated with each other. The water content and void ratio The most relevant correlation, showed a clear linear relationship.