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

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 Rrs745 divided by Rrs490 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.

[1]  James E. Cloern,et al.  Turbidity as a control on phytoplankton biomass and productivity in estuaries , 1987 .

[2]  Hugh L. MacIntyre,et al.  A study of sediment transport in a shallow estuary using MODIS imagery and particle tracking simulation , 2011 .

[3]  Quinten Vanhellemont,et al.  Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters , 2017, Remote. Sens..

[4]  Menghua Wang,et al.  Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.

[5]  C. Binding,et al.  The optical properties of mineral suspended particles: A review and synthesis , 2006 .

[6]  Lin Sun,et al.  Estimating wide range Total Suspended Solids concentrations from MODIS 250-m imageries: An improved method , 2015 .

[7]  C. Long,et al.  Remote sensing of suspended sediment concentration and hydrologic connectivity in a complex wetland environment. , 2013 .

[8]  M. Wang,et al.  Validation study of the SeaWiFS oxygen A-band absorption correction: comparing the retrieved cloud optical thicknesses from SeaWiFS measurements. , 1999, Applied optics.

[9]  W. Guan,et al.  Sediment transport in the Yellow Sea and East China Sea , 2011 .

[10]  Menghua Wang Remote sensing of the ocean contributions from ultraviolet to near-infrared using the shortwave infrared bands: simulations. , 2007, Applied optics.

[11]  Hajo Krasemann,et al.  Suspended matter concentrations in coastal waters: Methodological improvements to quantify individual measurement uncertainty , 2014 .

[12]  Liis Sipelgas,et al.  Analysis of historical MERIS and MODIS data to evaluate the impact of dredging to monthly mean surface TSM concentration , 2013, Remote Sensing.

[13]  J. Syvitski,et al.  Geomorphic/Tectonic Control of Sediment Discharge to the Ocean: The Importance of Small Mountainous Rivers , 1992, The Journal of Geology.

[14]  J. Megonigal,et al.  Tidal marshes as a source of optically and chemically distinctive colored dissolved organic matter in the Chesapeake Bay , 2008 .

[15]  David Doxaran,et al.  Daily and seasonal dynamics of suspended particles in the Rhône River plume based on remote sensing and field optical measurements , 2012, Geo-Marine Letters.

[16]  Robert H. Stavn,et al.  Correcting the errors from variable sea salt retention and water of hydration in loss on ignition analysis: Implications for studies of estuarine and coastal waters , 2009 .

[17]  Deepak Mishra,et al.  Remote monitoring of sediment dynamics in a coastal lagoon: Long-term spatio-temporal variability of suspended sediment in Chilika , 2016 .

[18]  C. Binding,et al.  Estimating suspended sediment concentrations from ocean colour measurements in moderately turbid waters; the impact of variable particle scattering properties , 2005 .

[19]  Ming Li,et al.  Tidal effects on the bulge region of Changjiang River plume , 2012 .

[20]  Zhongfeng Qiu,et al.  A simple optical model to estimate suspended particulate matter in Yellow River Estuary. , 2013, Optics express.

[21]  Vincent Marieu,et al.  Monitoring spatio-temporal variability of the Adour River turbid plume (Bay of Biscay, France) with MODIS 250-m imagery , 2014 .

[22]  C. Chen,et al.  Using geostationary satellite ocean color data to map the diurnal dynamics of suspended particulate matter in coastal waters , 2013 .

[23]  D. Stramski,et al.  MODIS imagery of turbid plumes in San Diego coastal waters during rainstorm events , 2010 .

[24]  C. Mobley,et al.  Estimation of the remote-sensing reflectance from above-surface measurements. , 1999, Applied optics.

[25]  T. Parsons,et al.  A practical handbook of seawater analysis , 1968 .

[26]  Maycira Costa,et al.  Bio-optical algorithm evaluation for MODIS for western Canada coastal waters: An exploratory approach using in situ reflectance , 2009 .

[27]  Jianhua Zhu,et al.  Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters , 2016, Remote. Sens..

[28]  Minwei Zhang,et al.  Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery , 2010 .

[29]  J. Milliman,et al.  Seasonal variations of sediment discharge from the Yangtze River before and after impoundment of the Three Gorges Dam , 2009 .

[30]  Deborah K. Smith,et al.  A Cross-calibrated, Multiplatform Ocean Surface Wind Velocity Product for Meteorological and Oceanographic Applications , 2011 .

[31]  C. Shenliang,et al.  Temporal and Spatial Changes of Suspended Sediment Concentration and Resuspension in the Yangtze River Estuary and Its Adjacent Waters , 2004 .

[32]  Wei Li,et al.  Distributions of suspended sediment concentration in the Yellow Sea and the East China Sea based on field surveys during the four seasons of 2011 , 2013 .

[33]  Jong-Kuk Choi,et al.  Temporal variation in Korean coastal waters using Geostationary Ocean Color Imager , 2011 .

[34]  Menghua Wang,et al.  Satellite observations of the seasonal sediment plume in central East China Sea , 2010 .

[35]  S. Richter,et al.  Biogeo-optics: particle optical properties and the partitioning of the spectral scattering coefficient of ocean waters. , 2008, Applied optics.

[36]  Gi Hoon Hong,et al.  Sources and distribution of carbon within the Yangtze River system , 2007 .

[37]  Peter Fearns,et al.  A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data , 2016, Remote. Sens..

[38]  W. Mccluney,et al.  Estimation of the depth of sunlight penetration in the sea for remote sensing. , 1975, Applied optics.

[39]  Jong-Kuk Choi,et al.  GOCI, the world's first geostationary ocean color observation satellite, for the monitoring of temporal variability in coastal water turbidity , 2012 .

[40]  W. Nimmo-Smith,et al.  Light scattering by particles suspended in the sea: The role of particle size and density , 2009 .

[41]  Yan Bai,et al.  Atmospheric correction of satellite ocean color imagery using the ultraviolet wavelength for highly turbid waters. , 2012, Optics express.

[42]  Chunyan Li,et al.  Cross-shelf circulation in the Yellow and East China Seas indicated by MODIS satellite observations , 2008 .

[43]  Hui Wu,et al.  Dynamics of the Sediment Plume Over the Yangtze Bank in the Yellow and East China Seas , 2017 .

[44]  Sang-Woo Kim,et al.  Empirical ocean-color algorithms to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas , 2011 .

[45]  Atmospheric Correction for Remotely-Sensed Ocean-Colour Products , 2009 .

[46]  Chen Zhang,et al.  Sediment resuspension and implications for turbidity maximum in the Changjiang Estuary , 1998 .

[47]  H. Gordon Remote sensing of ocean color: a methodology for dealing with broad spectral bands and significant out-of-band response. , 1995, Applied optics.

[48]  J. Ryu,et al.  Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) , 2012, Ocean Science Journal.

[49]  Dongfeng Xie,et al.  Modeling the tidal channel morphodynamics in a macro-tidal embayment, Hangzhou Bay, China. , 2009 .

[50]  W. Liu,et al.  Impact of the Three Gorges Dam water storage on the Yangtze River outflow into the East China Sea , 2008 .

[51]  Andrew Turner,et al.  Suspended Particles: Their Role in Estuarine Biogeochemical Cycles , 2002 .

[52]  Yunmei Li,et al.  Evaluation of the Geostationary Ocean Color Imager (GOCI) to monitor the dynamic characteristics of suspension sediment in Taihu Lake , 2015 .

[53]  Jun Chen,et al.  A semi-analytical total suspended sediment retrieval model in turbid coastal waters: a case study in Changjiang River Estuary. , 2013, Optics express.

[54]  Marc Lucas,et al.  Detection and variability of the Congo River plume from satellite derived sea surface temperature, salinity, ocean colour and sea level , 2013 .

[55]  Xiaoling Chen,et al.  Towards a practical remote-sensing model of suspended sediment concentrations in turbid waters using MERIS measurements , 2015 .