Diurnal Variation of Light Absorption in the Yellow River Estuary

Hao, Ying; Cui, Tingwei; Singh, Vijay P.; Zhang, Jie; Yu, Ruihong; Zhao, Wenjing

doi:10.3390/rs10040542

Cited by 6 publications

(2 citation statements)

References 82 publications

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“…Therefore, the influence of winds on the YBDL was not considered and satellite imageries during storm surges were excluded in this study (Figure S9). Additionally, the tides could increase the vertical mixing of suspended sediment in the water column affecting the surface SPM concentration (Hao et al, 2018). But the Yellow River estuary had a weak tide, with a tidal range of 0.6-0.8 m, so the tide had less impact on the YBDL distributions in the study area.…”

Section: Impacts Of Marine Dynamics On Ybdl Distributionmentioning

confidence: 91%

Detecting the magical yellow-blue demarcation off the Yellow River Estuary from the space

Li,

Chen,

et al. 2023

Front. Mar. Sci.

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River deltas rank among the most ecologically and socio-economically valuable environments on the planet. The Yellow River Delta in China is not only home to young wetland ecosystem, but also to world-renowned tourism resources. One of these was the unique yellow-blue demarcation line (YBDL), formed in the Yellow River Estuary (YRE) as a result of the meeting of terrestrial sediment-laden river water and clear sea water, which had developed into a famous attraction and generated significant tourism revenues. Moreover, its distribution was of vital ecological and geomorphological importance due to association with the dynamics of estuarine turbidity plume. However, little is yet known about the dynamics and influencing factors of YBDL. In this study, we proposed an integrated method for extracting YBDL from satellite imagery and investigated the spatiotemporal distributions of YBDL during the flood season (June-October) from 2016 to 2022 using multi-source satellite imageries. The average relative error of our algorithm reached 10.53%. The results indicated that the YBDL started to frequently occur after 2018, mainly distributed within 10 km off the YRE, with two types of short straight and long curved shapes. July was the period with the highest frequency and most widespread distribution of YBDL. The riverine water and sediment discharge controlled 45.9% of the variations in YBDL length, and the extreme flooding, as well as the implementation of Water-Sediment Regulation Scheme, significantly increased the distribution extent of the YBDL. The morphology of river distributary mouths dominated the changes in the YBDL distribution centres, and the north distributary mouth experienced dramatic evolution in the last three years, with an increased YBDL distribution. Tidal currents could promote the development of YBDL at the front of the river mouth plumes while inhibiting the YBDL on the other side. This study is the first systematic investigation of the spatiotemporal evolutions and driving mechanisms of YBDL in the YRE, which could provide a reference for tourism planning and YRE National Park construction.

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Section: Impacts Of Marine Dynamics On Ybdl Distributionmentioning

confidence: 91%

Detecting the magical yellow-blue demarcation off the Yellow River Estuary from the space

Li,

Chen,

et al. 2023

Front. Mar. Sci.

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“…For example, S g for estuarine and continental shelf waters along the northeastern U.S. coast varied between 0.0169 and 0.0223 nm −1 (Mannino et al, ). It ranged from 0.011 to 0.032 for the Pomeranian Bay (Kowalczuk et al, ) and from 0.008 to 0.021 for the Yellow River Estuary (Hao et al, ). The varying S g for different coastal waters is related to the sources of CDOM.…”

Section: Introductionmentioning

confidence: 99%

Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters

Zhao

Cao

et al. 2018

JGR Oceans

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We proposed a support vector machine (SVM) algorithm to retrieve colored dissolved organic matter (CDOM) concentration (using ag(443) as a proxy) in the highly turbid Pearl River estuary. Two band ratios, namely, Rrs(443)/Rrs(547) and Rrs(488)/Rrs(547), were used as inputs. Comparisons between the estimated and measured ag(443) illustrated high accuracy of the SVM algorithm, yielding R2s of 0.98 and 0.89, mean absolute percentage errors of 5.18% and 13.1%, and root‐mean‐square deviations of 0.012 and 0.034 m−1 for the training and validation data sets, respectively. The SVM algorithm was also evaluated against existing ones for the study area and gave the best accuracy with a R2 of 0.9, a mean absolute percentage error of 10.23%, and a root‐mean‐square deviation of 0.025 m−1. The diurnal dynamics of CDOM in the Pearl River estuary was revealed showing complicated variations and influenced by the combined effects of wind, tide, circulation, and river discharge. As for remote sensing applications, the SVM‐based CDOM product exhibited great potential to trace the Pearl River plume and the satellite‐derived plume area agreed well with the FVCOM model simulation result. SVM is an accurate and fast tool for retrieving CDOM concentration, especially in highly turbid estuarine coastal waters, and thus, river plume dynamics can be traced.

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Seasonal and Spatial Variability of Absorption Properties in Cartagena Bay’s Complex Waters

Eljaiek-Urzola,

Betancur-Turizo,

de Carvalho

et al. 2024

Estuaries and Coasts

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Characterizing inherent optical properties (IOPs) of water constituents is crucial for remote sensing applications. Remote sensing in Cartagena Bay is particularly challenging due to significant variations in constituent concentrations caused by the seasonal and annual variability of discharges from the Canal del Dique. This article presents the variability in absorption coefficients of phytoplankton, chromophoric dissolved organic matter (aCDOM), and non-algal particles (aNAP) in Cartagena Bay. Absorption coefficients were measured in the laboratory across multiple monitoring campaigns, with seasonal analyses conducted to establish relationships between absorption properties and biogeochemical parameters such as chlorophyll-a, salinity, and turbidity. Results indicate that at 440 nm, aCDOM and aNAP primarily dominate absorption during the rainy season, while aNAP dominates during the dry season. This variation is influenced by inflows from the Canal del Dique. Lower CDOM absorption in 440 nm (aCDOM440), and higher CDOM absorption slope (SCDOM275–295) and higher salinity values were observed during the dry season, which is consistent with the reduced fluvial influx. Spatial variability shows that higher CDOM values prevail in the river plume area during both seasons, with particularly higher values in the rainy season. Median values of aNAP were similar in both seasons, with a strong relationship found between all aNAP data and turbidity (rp = 0.785). Compared to other estuaries, Cartagena Bay exhibits optical characteristics typical of a coastal water body subjected to river discharges, including the elevated turbidity and the high dissolved organic matter influenced by significant inflow from the Canal del Dique. These features highlight the bay’s dynamic interactions with terrestrial inputs. This study provides invaluable information on the optical characteristics of Cartagena Bay, which is crucial for improving the accuracy and effectiveness of remote sensing models for optically active parameters such as turbidity, suspended solids, CDOM, and chlorophyll-a.

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Diurnal Variation of Light Absorption in the Yellow River Estuary

Cited by 6 publications

References 82 publications

Detecting the magical yellow-blue demarcation off the Yellow River Estuary from the space

Detecting the magical yellow-blue demarcation off the Yellow River Estuary from the space

Estimating CDOM Concentration in Highly Turbid Estuarine Coastal Waters

Seasonal and Spatial Variability of Absorption Properties in Cartagena Bay’s Complex Waters

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