A dynamic sediment model based on satellite-measured concentration of the surface suspended matter in the East China Sea
A dynamic sediment model based on satellite-measured concentration of the surface suspended matter in the East China Sea
复制标题
基于卫星测量的东海表层悬浮物浓度的动态沉积物模型
DOI：
10.1002/2015jc011466
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发表时间：
2016-04
影响因子：
3.6
通讯作者：
Zhu Qiankun
中科院分区：
文献类型：
--
作者：
Mao Zhihua;Pan Delu;Tang Charles L;Tao Bangyi;Chen Jianyu;Bai Yan;Chen Peng;He Xianqiang;Hao Zengzhou;Huang Haiqing;Zhu Qiankun
利用1997 ~ 2008年东海海域的卫星数据，采用复杂的代理TSM模型，对东海海面总悬浮物（TSM）浓度进行了反演。平均TSM图像的结构与地形相似，表明地表浓度分布与水深密切相关。建立了海洋表层TSM浓度与底栖边界层悬沙、劳斯数和水深之间的动态泥沙模型（DSM）。通过迭代对DSM模型进行改进，通过相邻两幅底部TSM图像的平均相对差识别出收敛性，该收敛性随着迭代次数的增加而变小，迭代50次后该值小于1%。DSM模型的性能得到了卫星测量浓度的验证，对月平均图像的平均相对误差为5.2%。利用DSM模型推导了底栖边界层底部TSM浓度和劳斯数的分布。海面TSM浓度的空间分布主要由海底悬沙浓度和水深共同决定。海面浓度的时间变化主要取决于水柱中的劳斯数。研究结果表明，长江的泄流使长江河口的罗氏数分布发生变化，形成一个带状区域。DSM模型为理解东太平洋地区TSM主羽流和次级羽流的形成和变化机制提供了一个框架。TSM主羽大致对应深度小于20 m的区域，次羽对应深度在20 ~ 50 m之间的区域。
The concentration of total suspended matter (TSM) at the sea surface is derived from satellite data using a complex proxy TSM model in East China Sea from 1997 to 2008. The structure of the mean TSM image is similar to that of the topography, indicating that the distribution of the surface concentration is strongly related to the water depth. A dynamic sediment model (DSM) is constructed to relate the TSM concentration at the sea surface with suspended sediment at the benthic boundary layer, the Rouse number, and the water depth. The DSM model is improved through iteration with a convergence identified by the mean relative difference between two adjacent bottom TSM images which becomes smaller with the more iterations and the value is less than 1% after 50 iterations. The performance of the DSM model is validated by satellite-measured concentration with a mean relative error of 5.2% for the monthly mean images. The DSM model is used to deduce the bottom TSM concentration at the benthic boundary layer and the distribution of the Rouse number. The spatial distribution of the sea surface TSM concentration is determined predominately by both the bottom suspended sediment concentration and water depth. The temporal variation of the sea surface concentration mainly depends upon the Rouse number in the water column. Our result shows that the discharge of the Changjiang River can change the distribution of the Rouse number to form a band-shaped region in the Changjiang Estuary. The DSM model provides a framework for understanding some of the mechanisms of the formation and variation of the primary TSM plume and the secondary plume in the ECS. The primary TSM plume corresponds approximately to the region with depth shallower than 20 m and the secondary plume corresponds to the region with depths between 20 and 50 m.
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影响因子：
--
作者：
V. L. Fouest;M. Chami;R. Verney
通讯作者：
V. L. Fouest;M. Chami;R. Verney
DOI：
10.1016/s0278-4343(01)00011-5
发表时间：
2001-10
期刊：
--
影响因子：
--
作者：
R. V. D. Ham;J. Winterwerp
通讯作者：
R. V. D. Ham;J. Winterwerp
影响因子：
5.2
作者：
Menghua Wang;W. Shi
通讯作者：
Menghua Wang;W. Shi
影响因子：
3.6
作者：
Harris, CK;Wiberg, P
通讯作者：
Wiberg, P
影响因子：
13.5
作者：
Z. Mao;Jianyu Chen;Zengzhou Hao;D. Pan;B. Tao;Qiankun Zhu
通讯作者：
Z. Mao;Jianyu Chen;Zengzhou Hao;D. Pan;B. Tao;Qiankun Zhu