2014
DOI: 10.1016/j.rse.2013.10.002
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Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS

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Cited by 159 publications
(110 citation statements)
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“…We can thus conclude that TSM was likely affected by short-term precipitation (seven-day), and that it had a delayed effect on the distribution of TSM variation. This result differs from the findings of some previous studies [66][67][68][69], which have suggested highly fluctuating TSM in large and shallow lakes and at the gulf end of the estuary, due to wind resuspension. Changes in other meteorological factors (e.g., temperature, air pressure and relative humidity) might influence TSM variation in the Dongting Lake region, but the correlation analysis for these meteorological factors and mean TSM showed no significant relationship, indicating that their impact on TSM variation is small when measured over such a long period.…”
Section: Factors Affecting the Spatial And Temporal Changes In Tsmcontrasting
confidence: 99%
“…We can thus conclude that TSM was likely affected by short-term precipitation (seven-day), and that it had a delayed effect on the distribution of TSM variation. This result differs from the findings of some previous studies [66][67][68][69], which have suggested highly fluctuating TSM in large and shallow lakes and at the gulf end of the estuary, due to wind resuspension. Changes in other meteorological factors (e.g., temperature, air pressure and relative humidity) might influence TSM variation in the Dongting Lake region, but the correlation analysis for these meteorological factors and mean TSM showed no significant relationship, indicating that their impact on TSM variation is small when measured over such a long period.…”
Section: Factors Affecting the Spatial And Temporal Changes In Tsmcontrasting
confidence: 99%
“…The combination of several models adapted to each concentration range is the main reason for this result, together with the selection of the best-fitted models. As proved by other studies [35][36][37], the selection of a specific model combining different bands is an improvement when estimating the SPM concentration in coastal waters. Table 8 shows the in situ-satellite match-up results using different SPM models.…”
Section: Multi-conditional Spm Algorithmmentioning
confidence: 63%
“…Again, the purpose of this study was not to provide the best SPM models for each area, but to develop a method and test it on selected satellite data recorded for optimal conditions (cloud-free, clear atmosphere) representative of a wide range of SPM concentrations in coastal and estuarine waters. Similar methods have already been developed [35,36], but the procedure presented in the present study (1) automatically selects the model switching bounds based on in situ measurements; (2) fully applies the method to real satellite data provided by three different sensors; and (3) validates the results based on match-ups with field data. …”
Section: Multi-conditional Spm Algorithmmentioning
confidence: 99%
“…A large body of literature has quantified the sediment load trapped by the dam, and changes in fluvial sediment export, as well as its hydrological and geomorphological consequences for downstream channels (Yang et al, 2005;Yang et al, 2006;Yang et al, 2007;Chen et al, 2008;Dai et al, 2008;Hu et al, 2009;Xu and Milliman, 2009;Dai et al, 2011;Li et al, 2011b;Wang et al, 2011;Luo et al, 2012;Dai and Liu, 2013;Nakayama and Shankman, 2013;Dai et al, 2014;Feng et al, 2014;Jiang et al, 2014;Lai et al, 2014;Yang et al, 2014;Meng et al, 2015;Yang et al, 2015). A recent study estimated that the annual averaged amount of sediment trapped by the Three Gorges Dam ranged from 116 to 234 Mt/yr during 2003-2012, with an average of 118 Mt/yr (Yang et al, 2014).…”
Section: Introductionmentioning
confidence: 99%