Study on the seasonal variation of the suspended sediment distribution and transportation in the East China Seas based on SeaWiFS data

Wang, Wenjuan; Jiang, Wensheng

doi:10.1007/s11802-008-0385-6

Cited by 42 publications

(26 citation statements)

References 2 publications

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“…Duo to the influence of East Asian monsoon, the entire water column produces a strong vertical mixing (Bian et al, 2010;Dong et al, 2011;Li et al, 2010;Shi & Wang, 2010;Wang & Jiang, 2008). Previous researchers reported that the temperature decreases significantly with the depth increasing in the period of late fall to early spring.…”

Section: Discussionmentioning

confidence: 99%

The Trend and Seasonal Change of Sediment in the East China Sea Detected by GRACE

Chang

Tang

et al. 2019

Geophysical Research Letters

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The deposition of land sediments onto the broad continental shelf of the East China Sea (ECS) is controlled by complex, dynamic hydrological mechanisms. In this study, we apply the data from Gravity Recovery and Climate Experiment (GRACE) satellite to detect the gravity signal caused by changes in sedimentation. The GRACE‐observed gravity signal is separated into the individual contributions using multisource data. After correction of each known individual signal, the sediment‐caused gravity change signal is used to invert for the sediment mass change in the ECS using a space domain inverse method. The results indicate that the total GRACE‐inverted sediment deposition rate was 0.82 ± 0.3 Gt/year from 2005 to 2015, which is in agreement with in situ sediment observations. The seasonal sediment change is also calculated and discussed. It is caused by sediment transport between the ECS and the Yellow Sea.

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Section: Discussionmentioning

confidence: 99%

The Trend and Seasonal Change of Sediment in the East China Sea Detected by GRACE

Chang

Tang

et al. 2019

Geophysical Research Letters

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“…Here, k 0 is the coefficient for clear water, k 1 is the light attenuation due to SPM absorption, C SPM is the satellite derived monthly SPM concentration (Wang and Jiang, 2008), k 2 is the self-shading by chlorophyll a, C CHLa (z) is the profile of simulated chlorophyll a. The values of these parameters are listed in Table 1.…”

Section: Model Configuration and Data Sourcesmentioning

confidence: 99%

Influence of cross-shelf water transport on nutrients and phytoplankton in the East China Sea: a model study

Zhao

Guo

2011

Ocean Sci.

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Abstract.A three dimensional coupled biophysical model was used to examine the supply of oceanic nutrients to the shelf of the East China Sea (ECS) and its role in primary production over the shelf. The model consisted of two parts: the hydrodynamic module was based on a nested model with a horizontal resolution of 1/18 degree, whereas the biological module was a lower trophic level ecosystem model including two types of phytoplankton, three elements of nutrients, and biogenic organic material. The model results suggested that seasonal variations occurred in the distribution of nutrients and chlorophyll a over the shelf of the ECS. After comparison with available observed nutrients and chlorophyll a data, the model results were used to calculate volume and nutrients fluxes across the shelf break. The annual mean total fluxes were 1.53 Sv for volume, 9.4 kmol s −1 for DIN, 0.7 kmol s −1 for DIP, and 18.2 kmol s −1 for silicate. Two areas, northeast of Taiwan and southwest of Kyushu, were found to be major source regions of oceanic nutrients to the shelf. Although the onshore fluxes of nutrients and volume both had apparent seasonal variations, the seasonal variation of the onshore nutrient flux did not exactly follow that of the onshore volume flux. Additional calculations in which the concentration of nutrients in Kuroshio water was artificially increased suggested that the oceanic nutrients were distributed in the bottom layer from the shelf break to the region offshore of the Changjiang estuary from spring to summer and appeared in the surface layer from autumn to winter. The calculations also implied that the supply of oceanic nutrients to the shelf can change the consumption of pre-existing nutrients from rivers. The response of primary production over the shelf to the oceanic nutrients was confirmed not only in the surface Correspondence to: X. Guo (guoxinyu@sci.ehime-u.ac.jp) layer (mainly at the outer shelf and shelf break in winter and in the region offshore of the Changjiang estuary in summer) but also in the subsurface layer over the shelf from spring to autumn.

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“…Furthermore, the two MODIS sensors have collected more than 10 years' worth of data on the Earth's surface, and this image archive provides a great opportunity to monitor and analyze the long-term spatiotemporal dynamics of parameters of the Earth's surface, such as SS [41]. Many studies have shown the potential to detect water components and concentrations in complex waters with MODIS data [39,42,43].…”

Section: Remote Sensing Observationsmentioning

confidence: 99%

Impacts of Insufficient Observations on the Monitoring of Short- and Long-Term Suspended Solids Variations in Highly Dynamic Waters, and Implications for an Optimal Observation Strategy

et al. 2018

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Coastal water regions represent some of the most fragile ecosystems, exposed to both climate change and human activities. While remote sensing provides unprecedented amounts of data for water quality monitoring on regional to global scales, the performance of satellite observations is frequently impeded by revisiting intervals and unfavorable conditions, such as cloud coverage and sun glint. Therefore, it is crucial to evaluate the impacts of varied sampling strategies (time and frequency) and insufficient observations on the monitoring of short-term and long-term tendencies of water quality parameters, such as suspended solids (SS), in highly dynamic coastal waters. Taking advantage of the first high-frequency in situ SS dataset (at 30 min sampling intervals from 2007 to 2008), collected in Deep Bay, China, this paper presents a quantitative analysis of the influences of sampling strategies on the monitoring of SS, in terms of sampling frequency and time of day. Dramatic variations of SS were observed, with standard deviation coefficients of 48.9% and 54.1%, at two fixed stations; in addition, significant uncertainties were revealed, with the average absolute percent difference of approximately 13%, related to sampling frequency and time, using nonlinear optimization and random simulation methods. For a sampling frequency of less than two observations per day, the relative error of SS was higher than 50%, and stabilized at approximately 10%, when at least four or five samplings were conducted per day. The optimal recommended sampling times for SS were at around 9:00, 12:00, 14:00, and 16:00 in Deep Bay. The "pseudo" MODIS SS dataset was obtained from high-frequency in situ SS measurements at 10:30 and 14:00, masked by the temporal gap distribution of MODIS coverage to avoid uncertainties propagated from atmospheric correction and SS models. Noteworthy uncertainties of daily observations from the Terra/Aqua MODIS were found, with mean relative errors of 19.2% and 17.8%, respectively, whereas at the monthly level, the mean relative error of Terra/Aqua MODIS observations was approximately 10.7% (standard deviation of 8.4%). Sensitivity analysis between MODIS coverage and SS relative errors indicated that temporal coverage (the percentage of valid MODIS observations for a month) of more than 70% is required to obtain high-precision SS measurements at a 5% error level. Furthermore, approximately 20% of relative errors were found with the coverage of 30%, which was the average coverage of satellite observations over global coastal waters. These results highlight the need for high-frequency measurements of geostationary satellites like GOCI and multi-source ocean color sensors to capture the dynamic process of coastal waters in both the short and long term.

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Study on the seasonal variation of the suspended sediment distribution and transportation in the East China Seas based on SeaWiFS data

Cited by 42 publications

References 2 publications

The Trend and Seasonal Change of Sediment in the East China Sea Detected by GRACE

The Trend and Seasonal Change of Sediment in the East China Sea Detected by GRACE

Influence of cross-shelf water transport on nutrients and phytoplankton in the East China Sea: a model study

Impacts of Insufficient Observations on the Monitoring of Short- and Long-Term Suspended Solids Variations in Highly Dynamic Waters, and Implications for an Optimal Observation Strategy

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