Satellite-derived turbidity in front of small rivers mouths in the Eastern Tropical Pacific coast of Mexico

Romero-Rodríguez, Deisy; Soto-Mardones, Luis; Cepeda-Morales, Jushiro; Rivera-Caicedo, Juan Pablo; Inda-Díaz, Emilio A.

doi:10.1016/j.asr.2020.08.007

Cited by 11 publications

(19 citation statements)

References 60 publications

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“…In addition, Romero‐Rodriguez et al. (2020) found that interannual turbidity anomalies in the eastern tropical Pacific coastal waters of Mexico were modulated by ENSO events. Thus, the variability in FP on the inner shelf of the ECS may similarly be influenced by ENSO and PDO.…”

Section: Discussionmentioning

confidence: 99%

“…Tides play a significant role in frontogenesis, frontal distribution, and frontal persistence (Framinan & Brown, 1996; Framinan et al., 2008; Hu et al., 2016; Jago et al., 2006; Kirby & Parker, 1982; Romero‐Rodriguez et al., 2020; Shi, 2010; Y. Wang, Wu, Lin, et al., 2019; Y. Zhou, Xuan, et al., 2020). For instance, Kirby and Parker (1982) found that frontogenesis was closely related to the lateral phase difference in the tidal level in the Severn Estuary.…”

Section: Discussionmentioning

confidence: 99%

“…Romero‐Rodriguez et al. (2020) also emphasized the importance of tide‐driven mechanisms for the permanent formation process of turbidity fronts in the Eastern Tropical Pacific coast of Mexico. On the inner shelf of the ECS, tide‐induced mixing can stir up a large amount of fine seabed sediment to the surface, resulting in SSC variations (Bian, Jiang, Quan, et al., 2013), which may contribute to frontogenesis and frontal variability through resuspension and deposition.…”

Section: Discussionmentioning

confidence: 99%

“…Tides play a significant role in frontogenesis, frontal distribution, and frontal persistence (Framinan & Brown, 1996;Framinan et al, 2008;Hu et al, 2016;Jago et al, 2006;Kirby & Parker, 1982;Romero-Rodriguez et al, 2020;Shi, 2010;Y. Wang, Wu, Lin, et al, 2019;Y.…”

Section: Tidesmentioning

confidence: 99%

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Spatio‐Temporal Variability of Suspended Sediment Fronts (SSFs) on the Inner Shelf of the East China Sea: The Contribution of Multiple Factors

Zhang

Wei

et al. 2022

JGR Oceans

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Modulated by a host of complex processes, suspended sediment fronts (SSFs) on the inner shelf of the East China Sea persist strongly and vary notably. Using hourly suspended sediment concentration data collected by the Geostationary Ocean Color Imager over the period 2011–2021, a gradient‐based edge detection algorithm was implemented to extract SSFs; the frontal probability (FP) and seasonal and interannual variability were identified and interpreted. Pronounced frontal activity is principally confined to the nearshore waters within the 60‐m isobaths and decreases with increasing offshore distance. Frontogenesis is mainly determined by the bottom topography and tide‐induced mixing. Empirical orthogonal function decompositions reveal that the seasonal cycle dominates the variability of SSFs, which responds to the cycles of winds and related changes in coastal currents and upwelling. The highest FPs are identified in winter when wind‐induced suspended sediment transport and resuspension reach their annual maxima. In summer, stratification and the intrusion of Kuroshio subsurface water are not conducive to frontogenesis. Furthermore, the discharge of the Yangtze River has a certain influence on the frontal variability in the waters around the Zhoushan Archipelago. Notably, the interannual variability of SSFs is modulated by the El Niño‐Southern Oscillation. These findings, based on a comprehensive dataset of SSFs over 10 years, can usefully inform the studies of marine pollutant transport, sedimentary dynamics, fisheries, and wider ecological processes in the study area.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Tidesmentioning

confidence: 99%

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Spatio‐Temporal Variability of Suspended Sediment Fronts (SSFs) on the Inner Shelf of the East China Sea: The Contribution of Multiple Factors

Zhang

Wei

et al. 2022

JGR Oceans

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“…It is the ability of water molecules for penetration of light. It affects the aquatic photosynthesis due to the penetration of sunlight into the water bodies(Romero-Rodríguez et al 2020).…”

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confidence: 99%

Comprehensive Spatio-temporal Benchmarking of Surface Water Quality of Hindon River, India– a Tributary of River Yamuna, India

Gupta

Kumar

Maurya

et al. 2021

Preprint

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The quality of Hindon River, western Uttar Pradesh, India was benchmarked with 19 sampling sites by analysing seventeen water quality parameters and eight heavy metals for pre and post-monsoon seasons to assess the existing quality of water which is a milestone for preparing roadmap for its betterment. Indices associated with water quality and heavy metals were computed to scale the accurate state of risk associated to its use for drinking and irrigation. During the pre and post-monsoon seasons, only four and five sites were found having safe water quality index (WQI) values respectively. The average WQI (2015–2019) for pre and post-monsoon seasons ranged between 8.69–706.47 and 7.20–341.56 respectively. During pre-monsoon and post-monsoon seasons w.r.t. drinking purpose, heavy metal pollution index ranged between 0.76–4470.78 and 0–1425.31 respectively; heavy metal evaluation index ranged between 0.21–163.11 and 0.00–57.70 respectively; contamination evaluation index ranged between -7.79–155.11 and –8.00 to 49.70 respectively. During pre-monsoon and post-monsoon seasons w.r.t. irrigation purpose, heavy metal pollution index ranged between 0.82–1492.71and 0.00–300.06 respectively; heavy metal evaluation index ranged between 0.10–20.44and 0.00–5.66 respectively; contamination evaluation index ranged between -15.97–10.03and –17.00 to –6.08 respectively. The heavy metals were positively correlated where highest value observed between Cu and Mn (correlation coefficient value 0.95). For physico-chemical parameters, observed adj-R2 value ranged from 0.50 for pH to 0.98 for total hardness and calcium. PCA analysis achieves three principle components (PCs) for physico-chemical and three PCs for heavy metals that explained 88.67% and 89.68% variability of the original data set, respectively.

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Comprehensive spatio-temporal benchmarking of surface water quality of Hindon River, a tributary of river Yamuna, India: Adopting multivariate statistical approach

Gupta

Kumar

Maurya

et al. 2022

Environ Sci Pollut Res

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Satellite-derived turbidity in front of small rivers mouths in the Eastern Tropical Pacific coast of Mexico

Cited by 11 publications

References 60 publications

Spatio‐Temporal Variability of Suspended Sediment Fronts (SSFs) on the Inner Shelf of the East China Sea: The Contribution of Multiple Factors

Spatio‐Temporal Variability of Suspended Sediment Fronts (SSFs) on the Inner Shelf of the East China Sea: The Contribution of Multiple Factors

Comprehensive Spatio-temporal Benchmarking of Surface Water Quality of Hindon River, India– a Tributary of River Yamuna, India

Comprehensive spatio-temporal benchmarking of surface water quality of Hindon River, a tributary of river Yamuna, India: Adopting multivariate statistical approach

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