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Generation, morphology, and distribution of authigenic minerals directly reflect sedimentary environment and material sources. Surface sediments were collected from the western Gulf of Thailand during 2011–2012, and 159 samples were analyzed to determine detrital minerals. Authigenic minerals, including siderite, pyrite, and glauconite, are abundant whereas secondary minerals, such as chlorite and limonite, are distributed widely in the study area. Siderite has a maximum content of 19.98 g/kg and appears in three types from nearshore to continental shelf, showing the process of forming-maturity-oxidation. In this process, the Mn O content in siderite decreases, but Fe_2O_3 and Mg O content increase. Colorless or transparent siderite pellets are fresh grains generated within a short time and widely distributed throughout the region; high content appears in coastal area where river inputs are discharged. Translucent cemented double pellets appearing light yellow to red are mature grains; high content is observed in the central shelf. Red-brown opaque granular pellets are oxidized grains,which are concentrated in the eastern gulf. Pyrite is mostly distributed in the central continental shelf with an approximately north–south strip. Pyrite are mainly observed in foraminifera shell and distributed in clayey silt sediments, which is similar to that in the Yangtze River mouth and the Yellow Sea. The pyrite in the gulf is deduced from genetic types associated with sulfate reduction and organic matter decomposition. Majority of glauconite are granular with few laminar. Glauconite is concentrated in the northern and southern parts within the boundary of 9.5° to 10.5°N and is affected by river input diffusion. The distribution of glauconite is closely correlated with that of chlorite and plagioclase, indicating that glauconite is possibly derived from altered products of chlorite and plagioclase. The K_2O content of glauconite is low or absent, indicating its short formation time. 相似文献
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基于孟加拉湾南部98个表层沉积物的稀土元素组成及其空间分布特征,判别了研究区表层沉积物主要来源,并结合水动力环境等探讨了孟加拉湾南部区域沉积物输运方式。结果表明,研究区表层沉积物稀土元素总含量范围为67.62~180.67μg/g,其平均值为100.85μg/g,且具有轻稀土富集、重稀土均一、明显的Eu负异常的特征。基于稀土元素主要参数,可将研究区分为两个区域,Ι区位于研究区西部,Ⅱ区位于研究区东部。根据球粒陨石标准化后的La/Yb-Sm/Nd物源判别图解可知,研究区表层沉积物的最主要来源为恒河-布拉马普特拉河搬运的喜马拉雅山侵蚀物质,其对整个研究区均有重要影响;次要来源为戈达瓦里河-克里希纳河输送的印度半岛物质,其主要影响范围为研究区西侧的Ι区。不同源区沉积物在研究区的输运过程主要受控于季节性表层环流,其驱动力为印度季风系统。 相似文献
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为了对海表温度(SeaSurfaceTemperature,SST)和海表盐度(SeaSurfaceSalinity,SSS)数据进行精确的短期预报,基于多站位海洋观测浮标获取的海表温度和海表盐度数据,利用反向传播(BackPropagation,BP)和径向基函数(RadialBasisFunction,RBF)两种神经网络方法开展了短期预测。首先,在预测时长固定为5d的情况下,对比不同训练时长的预测结果的均方误差(MeanSquaredError,MSE),进而确定以20d的观测数据作为训练集的预测结果均方误差最小。然后,以 PAPA 站观测浮标获取的2009年1月、4月、7月和10月各月的前20d温盐数据作为训练集,分别训练BP和 RBF神经网络,将训练好的2种神经网络模型应用于各月第21至25日的温盐数据预测。结果表明:BP和 RBF神经网络均能有效预测海表温盐数据的季节性变化,但 RBF神经网络对不同预测时间的整体预测效果优于 BP神经网络。多站点数据的预测实验进一步验证了 RBF神经网络模型具有较强适用性和更高的准确性。RBF神经网络模型可以作为海表温盐数据短期预报的有力工具。 相似文献
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