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基于静止轨道海洋水色图像的长江口悬浮颗粒物定性动力研究:经验-区域建模方法。

Qualitative Dynamics of Suspended Particulate Matter in the Changjiang Estuary from Geostationary Ocean Color Images: An Empirical, Regional Modeling Approach.

机构信息

School of Ocean and Earth Science, Tongji University, Shanghai 200092, China.

Institute of Deep-sea and Engineering, Chinese Academy of Science, Sanya 572000, China.

出版信息

Sensors (Basel). 2018 Nov 29;18(12):4186. doi: 10.3390/s18124186.

DOI:10.3390/s18124186
PMID:30501092
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6308518/
Abstract

The suspended particulate matter (SPM) in Changjiang Estuary is characterized by a high concentration of significant diurnal dynamics. With a higher temporal resolution (eight images obtained per day), Geostationary Ocean Color Imager (GOCI) was selected as the primary remote sensor for the dynamics monitoring in this paper, instead of other satellite sensor working in polar orbit. Based on the characteristics of the field spectra measured in the estuary, an empirical model was established with the band ratio of R745 divided by R490 and proven effective in Suspended Particulate Matter (SPM) estimation (R² = 0.9376, RMSE = 89.32 mg/L). While, Validation results showed that the model performed better in coastal turbid waters than offshore clear waters with higher chlorophyll-a concentration, stressing the importance of partitioning SPM into its major components and doing separate analysis. The hourly observations from GOCI showed that the diurnal variation magnitudes exhibited clear regional characteristics, with a maximum in the turbidity belt near the mouth and a minimum in the offshore deeper areas. In addition, comparing the monthly averaged SPM distribution with the amount of sediment discharged into the estuary, the variation in estuarine turbidity maximum zone is more likely contributed by the sediments resuspended from the sea bed that has already accumulated in the estuarine delta.

摘要

长江口悬浮颗粒物(SPM)具有显著的高浓度日变化特征。本文选择了具有更高时间分辨率(每天可获取 8 幅图像)的静止轨道海洋成像仪(GOCI)作为主要的遥感监测工具,而不是使用其他工作在极轨上的卫星传感器。基于在河口测量的现场光谱特征,建立了一个经验模型,该模型使用 R745 波段与 R490 波段的比值,证明在悬浮颗粒物(SPM)估算方面非常有效(R²=0.9376,RMSE=89.32mg/L)。然而,验证结果表明,该模型在沿海混浊水域比在叶绿素-a 浓度较高的近海清澈水域表现更好,这强调了将 SPM 划分为其主要成分并进行单独分析的重要性。GOCI 的每小时观测结果表明,日变化幅度表现出明显的区域特征,在河口附近的混浊带中最大,在近海较深区域中最小。此外,将每月平均的 SPM 分布与排入河口的泥沙量进行比较,河口最大浑浊带的变化更可能是由已经在河口三角洲中积累的海底再悬浮的泥沙所引起的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/fe246ece8413/sensors-18-04186-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/486f05aa9b86/sensors-18-04186-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/342005cba94a/sensors-18-04186-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/ed7de0f409a4/sensors-18-04186-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/49fea130f56a/sensors-18-04186-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/2f93d98d1224/sensors-18-04186-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/87dadbdebf34/sensors-18-04186-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/ed4e56c9efee/sensors-18-04186-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/a76bd2e01e80/sensors-18-04186-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/fe5d122eab31/sensors-18-04186-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/fe246ece8413/sensors-18-04186-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/486f05aa9b86/sensors-18-04186-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/342005cba94a/sensors-18-04186-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/ed7de0f409a4/sensors-18-04186-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/49fea130f56a/sensors-18-04186-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/2f93d98d1224/sensors-18-04186-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/87dadbdebf34/sensors-18-04186-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/ed4e56c9efee/sensors-18-04186-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/a76bd2e01e80/sensors-18-04186-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/fe5d122eab31/sensors-18-04186-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fd2/6308518/fe246ece8413/sensors-18-04186-g010.jpg

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本文引用的文献

1
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Opt Express. 2013 Nov 18;21(23):27891-904. doi: 10.1364/OE.21.027891.
2
A semi-analytical total suspended sediment retrieval model in turbid coastal waters: a case study in Changjiang River Estuary.浑浊近岸水体中总悬浮泥沙含量的半解析反演模型:以长江口为例
Opt Express. 2013 Jun 3;21(11):13018-31. doi: 10.1364/OE.21.013018.
3
Atmospheric correction of satellite ocean color imagery using the ultraviolet wavelength for highly turbid waters.
利用紫外波长对高浑浊水域卫星海洋水色图像进行大气校正。
Opt Express. 2012 Aug 27;20(18):20754-70. doi: 10.1364/OE.20.020754.
4
Remote sensing of ocean color: a methodology for dealing with broad spectral bands and significant out-of-band response.海洋颜色遥感:一种处理宽光谱带和显著带外响应的方法。
Appl Opt. 1995 Dec 20;34(36):8363-74. doi: 10.1364/AO.34.008363.
5
Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm.利用海色宽视场传感器(SeaWiFS)反演海洋上空的离水辐射率和气溶胶光学厚度:一种初步算法。
Appl Opt. 1994 Jan 20;33(3):443-52. doi: 10.1364/AO.33.000443.
6
Estimation of the depth of sunlight penetration in the sea for remote sensing.用于遥感的海洋中阳光穿透深度的估算。
Appl Opt. 1975 Feb 1;14(2):413-6. doi: 10.1364/AO.14.000413.
7
Biogeo-optics: particle optical properties and the partitioning of the spectral scattering coefficient of ocean waters.生物地球光学:颗粒光学特性与海水光谱散射系数的分配
Appl Opt. 2008 May 10;47(14):2660-79. doi: 10.1364/ao.47.002660.
8
Estimation of the remote-sensing reflectance from above-surface measurements.基于地表以上测量估算遥感反射率。
Appl Opt. 1999 Dec 20;38(36):7442-55. doi: 10.1364/ao.38.007442.
9
Validation study of the SeaWiFS oxygen A-band absorption correction: comparing the retrieved cloud optical thicknesses from SeaWiFS measurements.SeaWiFS氧气A波段吸收校正的验证研究:比较从SeaWiFS测量中反演得到的云光学厚度
Appl Opt. 1999 Feb 20;38(6):937-44. doi: 10.1364/ao.38.000937.
10
Remote sensing of the ocean contributions from ultraviolet to near-infrared using the shortwave infrared bands: simulations.利用短波红外波段对海洋从紫外到近红外的贡献进行遥感:模拟
Appl Opt. 2007 Mar 20;46(9):1535-47. doi: 10.1364/ao.46.001535.