Modeling the tidal dynamic changes induced by the bridge in Jiaozhou Bay, Qingdao, China

Пин, Ли; Li, Guangxue; Qiao, Lulu; Chen, Xueen; Shi, Jianghong; Gao, Fei; Wang, Nan; Yue, Shuhong

doi:10.1016/j.csr.2014.05.006

Cited by 47 publications

(23 citation statements)

References 11 publications

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“…The double lines represent the cross bridge; the arrows symbolize the direction of residual current in the JZB. The data are from Li et al (2014). year (July 2-4, 2011), which induced a strong disturbance and mixing among different regions (Figure 6, Qingdao statistical yearbook in 2011 and 2012 2 ).…”

Section: Sources and Removal Of Dfementioning

confidence: 99%

Distribution and Speciation of Dissolved Iron in Jiaozhou Bay (Yellow Sea, China)

Yang

Pižeta

et al. 2016

Front. Mar. Sci.

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The distribution of total dissolved iron (DFe) and its chemical speciation were studied in vertical profiles of the shallow and semi-closed Jiaozhou Bay (JZB, China) during two contrasting periods: summer (July 19 th , 2011) and spring (May 10 th , 2012). Samples collected from the surface, middle and bottom layers were analyzed by competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-aCSV). The mean DFe concentration during the summer period (median 18.8 nM; average 20.7 nM) was higher than in the spring period (median 12.4 nM; average 16.9 nM), whereas the spatio-temporal variation in spring was larger than in summer. The DFe-values showed distinct regional and seasonal differences, ranging from 5.6 to 107 nM in spring period and 13.4 to 43.4 nM in summer period. In spring, the highest DFe-values were observed in the eastern coastal region, especially near an industrial area (up to 107 nM), whereas the DFe distribution in summer was relatively even. Due to a tide influence, the vertical variations in the DFe and L t in both seasons were not significant. On average, the L t concentration (one class of ligand was estimated in all samples), was higher in spring (35.2 ± 23.4 nM) than in summer (31.1 ± 10.3 nM). A statistically significant correlation was found between L t and DFe concentrations, it was higher for the summer period than for the spring period. The conditional stability constants (logK ′ ) of organic complexes with iron were weaker in spring (11.7 ± 0.3) than in summer (12.3 ± 0.3). The concentrations of L t were higher in comparison to DFe in all samples: the average [L t ]/[DFe] ratio in the spring and summer samples was 2.4 and 1.5, respectively. Speciation calculations showed that the DFe in the JZB existed predominantly (over 99.99%) in the form of strong organic complexes in both seasons.

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Section: Sources and Removal Of Dfementioning

confidence: 99%

Distribution and Speciation of Dissolved Iron in Jiaozhou Bay (Yellow Sea, China)

Yang

Pižeta

et al. 2016

Front. Mar. Sci.

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“…The bay mouth is narrow, and the large wave from the Yellow Sea is weak in the bay. Thus, river runoff and waves are not taken into account when we focus on the tidal dynamic processes in the JZB (Li et al, 2014). The model was initialized with constant salinity of 33 psu and constant temperature of 25 C, which are the mean values during the summer season (Shi et al, 2011).…”

Section: Model Configurationmentioning

confidence: 99%

“…2b). Bathymetry data shows that the model domain is relatively shallow, with most areas being less than 20 m. Thus, a 2D numerical model was used to study the tidal dynamic changes induced by the bridge construction (Li et al, 2014). We use the Surface Water Modeling System (SMS) 10.0 software to establish the high-resolution triangular meshes before and after the bridge's construction.…”

Section: Model Configurationmentioning

confidence: 99%

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Evolution of sedimentary dynamic environment in the western Jiaozhou Bay, Qingdao, China in the last 30 years

Qiao

Shi

et al. 2015

Estuarine, Coastal and Shelf Science

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“…They also add complexity to the understanding of the main physical drivers of water circulation (Valle-Levinson and Blanco, 2004;Carniello et al, 2005;Zhong and Li, 2006;Valle-Levinson, 2008;D'Alpaos et al, 2010) and mixing (Waiters et al, 1985;Hetland and Geyer, 2004;Burchard and Hofmeister, 2008;Venier et al, 2014). Despite the advances achieved during recent years, the assessment and prediction of present and future impacts on the hydrodynamics of bays are still challenging tasks for both managers and scientists (Li et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Morphodynamic Response to Human Activities in the Bay of Caâ´diz (2012-2015)

Zarzuelo

Díez‐Minguito

D’Alpaos

et al. 2017

Int. Conf. Coastal. Eng.

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The morphology of the Bay of C\'adiz in the southwestern Spain has been changing for the past 25 years in response to the human interventions. Since 2012, new interventions, for example the new terminal and the new navigation channel, have been planned to carry out inside the Bay. As a result of these interventions, there has been a decrease in tidal amplitudes, tidal volumes, and average flow velocities, and there is hardly any sediment transport along the bay. Recent human activities are addressed in the Bay of CÃ¡diz, an estuary located in the south--west of Spain. The Bay of CÃ¡diz is a highly altered embayment in which socio-economical developments and ecological interests conflict. This work studies both through observations and numerical simulations the impact of some of these modifications on the morpho--hydrodynamics of the Bay of CÃ¡diz. The capability of the bay to transport sediment between the inner and outer bay deteriorates after the deepening of the navigation channel and the construction of the new port terminal and the new bridge. This may have an impact on the ecological status of the bay. The influence of the dredging and the new terminal are concentrated at the entrance to the central sector of the bay and close to the channel. The dredging would increase siltation in the shallower areas close to the new channel, which subsequently reduce the amount of sediment input into the basins. The bridge mostly affect the Puntales Channel and the inner bay. The most changes in the erosion/deposition patterns are found in the area with strong bottom frictions and tidal asymmetries.

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Modeling the tidal dynamic changes induced by the bridge in Jiaozhou Bay, Qingdao, China

Cited by 47 publications

References 11 publications

Distribution and Speciation of Dissolved Iron in Jiaozhou Bay (Yellow Sea, China)

Distribution and Speciation of Dissolved Iron in Jiaozhou Bay (Yellow Sea, China)

Evolution of sedimentary dynamic environment in the western Jiaozhou Bay, Qingdao, China in the last 30 years

Morphodynamic Response to Human Activities in the Bay of Caâ´diz (2012-2015)

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