Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

Wang, Siyuan; Shen, Ming; Ma, Yao; Chen, Guangsheng; You, Yanan; Liu, Weihua

doi:10.1029/2019jc015106

Cited by 13 publications

(10 citation statements)

References 71 publications

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“…For example, rapid urbanization around the Bohai Sea increased the roughness of underlying surface and decreased the wind speed of the coastal region, but the impact on the marine wind might be relatively weak The regulation mechanism of the decadal decrease in the SSSC was then inferred based on modal similarity. Previous studies have determined the decadal variation mechanisms of the SSSC by analyzing the timeseries correlation between the SSSC and its mechanisms (Chen & Liu, 2015; Wang et al., 2019; Zhang et al., 2014), which resulted in divergent conclusions. Based on previous studies, the present study further investigated the seasonal and spatial differences in the decadal variation trend of the SSSC in the Bohai Sea to obtain more definite conclusions.…”

Section: Discussionmentioning

confidence: 99%

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Decadal Variation and Regulation Mechanisms of the Suspended Sediment Concentration in the Bohai Sea, China

et al. 2022

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Bohai Sea, with the highest suspended sediment concentration in the world, has experienced a sharp decrease in sea surface suspended sediment concentration (SSSC) in the latest two decades. However, limited by the shortage of long‐term field observations, the spatiotemporal characteristics and mechanisms of the long‐term variation in the SSSC are still unclear. Based on remote sensing data, this study reconstructed the spatiotemporal SSSC distribution from 2003 to 2016, and found significant spatial difference in decadal SSSC variation in the Bohai Sea. The largest decadal SSSC decrease was observed in the southern Bohai Sea with an average annual decrease of 1.3 mg/L (decrease of 4.4% per year), while significant SSSC increase was observed in the central Bohai Sea with largest annual increase of 0.4 mg/L (increase of 5.0% per year). Significant seasonal differences in the SSSC decreasing were also revealed, and the SSSC decrease in winter and spring (0.46 mg/L/a) was 27.8% higher than that in summer and autumn (0.36 mg/L/a). Decadal wind speed data measured at 14 meteorological stations around the Bohai Sea indicated that wind speed reduction played the most important role in the decadal decrease in SSSCs, and significant SSSC decrease can only be found in sea areas with a significantly reduced wind speed. In addition, although the runoff and sediment discharge of the Yellow River also decreased during 2003–2016, they were not related to the spatiotemporal variation of SSSCs and their direct impact was limited to the range of 15 km from the estuary.

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Section: Discussionmentioning

confidence: 99%

“…Wang et al. (2019) considered that the decreasing trend of the SSSC in the southern Bohai Sea was caused by the joint action of the wind waves and the decreased runoff and sediment discharge of the Yellow River. In contrast, Chen and Liu (2015) believed that the decreasing trend of the SSSC in the Bohai Sea was related to global warming.…”

Section: Introductionmentioning

confidence: 99%

Decadal Variation and Regulation Mechanisms of the Suspended Sediment Concentration in the Bohai Sea, China

et al. 2022

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“…where f /Q is a factor dependent on the Sun, the viewing geometry, and the volume scattering function of water. a t (λ) is the total absorption coefficient of all the material components in the water, as relation (4), where a w (λ), a ph (λ), a NAP (λ), and a CDOM (λ) are the absorption coefficients for pure water, phytoplankton, NAP, and colored dissolved organic matter (CDOM), respectively. b bt (λ) is the total backscattering coefficient that is composed of b bw (λ), b b,ph (λ), and b b,NAP (λ), which correspond with the above water components, as relation (5).…”

Section: Turbidity Model Developmentmentioning

confidence: 99%

“…Furthermore, turbidity is also an indicator of the concentration of the total suspended matter (TSM), which is the main factor affecting the turbidity level in water. It is possible to interpret the complex hydrological processes of TSM through identifying the lager-scale spatiotemporal dynamics of turbidity, such as migration, sedimentation, and resuspension [4]. Thus, knowledge of the turbidity patterns and dynamic characteristics is significant in aquatic environmental protection and water resource management.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high Spatial Resolution Satellites

et al. 2019

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Turbidity, relating to underwater light attenuation, is an important optical parameter for water quality evaluation. Satellite estimation of turbidity in alpine rivers is challenging for common ocean color retrieval models due to the differences in optical properties of the water bodies. In this study, we present a simple two-band semi-analytical turbidity (2BSAT) retrieval model for estimating turbidity in five alpine rivers with varying turbidity from 1.01 to 284 NTU. The model was calibrated and validated, respectively, while using one calibration dataset that was obtained from the Three Parallel Rivers basin and two independent validation datasets that were obtained from the Kaidu River basin and the Yarlung Zangbo River basin. The results show that the model has excellent performance in deriving turbidity in alpine rivers. We verified the consistency of the simulated reflectance and satellite-based reflectance and calibrated the 2BSAT model for the specified bands of high spatial resolution satellites in order to achieve the goal of remote sensing monitoring. It is concluded that the model can be used for the quantitative monitoring of turbidity in alpine rivers using satellite images. Based on the model, we used the Sentinel-2 images from one year to identify the seasonal patterns of turbidity of five alpine rivers and the Landsat series images from 1989 to 2018 to analyze the turbidity variation trends of these rivers. The results indicate that the turbidity of these alpine rivers usually presents the highest level in summer, followed by spring and autumn, and the lowest in winter. Meanwhile, the variation trends of turbidity over the past 30 years present distinctly different characteristics in the five rivers.

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“…Seasonal changes in the water quality may be monitored through abiotic and biological variables accumulated in the surface sediments (Wang et al, 2019). The sediment layers are the result of the deposition of biological, physical, and chemical materials from the surrounding area of the reservoir and can be attributed to both natural and anthropic factors .…”

Section: Introductionmentioning

confidence: 99%

Influence of land use and occupation on water quality and on the diatom community of reservoirs in northeast Brazil

et al. 2022

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Historically, the reduction in water quality has been associated with changes in land use, especially changes in urbanization and expansion of agricultural frontiers. The objective of this study was to understand the characteristics of the diatomological community and the use and occupation of the soil around three reservoirs (Arara, Rio do Canto and Araçagi) and natural lagoon (Lagoa do Paó) (Northeast Brazil). Land use was determined using high spatial resolution satellite images. Abiotic variables of water and total phosphorus, organic matter and diatoms in surface sediments were analyzed. Abiotic variables and assemblages of diatoms were analyzed using Principal Component Analysis (PCA). Four types of land use have been identified, associated with anthropogenic change and intensive use of the landscape. The PCA separated the reservoirs by trophic status based on the total phosphorus in the water. 24 taxa of diatoms distributed in 12 genera and 10 families were identified in the sediment. Our results indicate the occurrence of planktonic, epiphytic and benthic diatoms adapted to different trophic gradients

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Application of Remote Sensing to Identify and Monitor Seasonal and Interannual Changes of Water Turbidity in Yellow River Estuary, China

Cited by 13 publications

References 71 publications

Decadal Variation and Regulation Mechanisms of the Suspended Sediment Concentration in the Bohai Sea, China

Decadal Variation and Regulation Mechanisms of the Suspended Sediment Concentration in the Bohai Sea, China

Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high Spatial Resolution Satellites

Influence of land use and occupation on water quality and on the diatom community of reservoirs in northeast Brazil

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