scholarly journals Long‐Term Nutrient Variations in the Bohai Sea Over the Past 40 Years

2019 ◽  
Vol 124 (1) ◽  
pp. 703-722 ◽  
Author(s):  
Junjie Wang ◽  
Zhigang Yu ◽  
Qinsheng Wei ◽  
Qingzhen Yao
Keyword(s):  
Bohai Sea ◽  
The Bohai Sea ◽  
The Past

Asian monsoon and oceanic circulation paced sedimentary evolution over the past 1,500 years in the central mud area of the Bohai Sea, China

2020 ◽  
Vol 55 (7) ◽  
pp. 5606-5618
Author(s):  
Wenzhe Lyu ◽  
Jichao Yang ◽  
Tengfei Fu ◽  
Yanping Chen ◽  
Zhangxi Hu ◽  
...  
Keyword(s):  
Bohai Sea ◽  
Asian Monsoon ◽  
Oceanic Circulation ◽  
The Bohai Sea ◽  
The Past ◽  
Sedimentary Evolution ◽  
Mud Area

Long-term variation of storm surge-associated waves in the Bohai Sea

2019 ◽  
Vol 37 (6) ◽  
pp. 1868-1878 ◽  
Author(s):  
Yanping Wang ◽  
Yongling Liu ◽  
Xinyan Mao ◽  
Yutao Chi ◽  
Wensheng Jiang
Keyword(s):  
Storm Surge ◽  
Bohai Sea ◽  
The Bohai Sea ◽  
Term Variation

Calibration of SWAN Model for Wave Simulation in Bohai Sea

2013 ◽  
Vol 423-426 ◽  
pp. 1344-1350
Author(s):  
Xiang Cui Lv ◽  
Dao Sheng Wang ◽  
De Kui Yuan ◽  
Jian Hua Tao
Keyword(s):  
Water Waves ◽  
Bohai Sea ◽  
Sensitivity Analyses ◽  
Short Term ◽  
Wave Source ◽  
The Bohai Sea ◽  
Swan Model ◽  
Wave Data ◽  
Wave Characteristics

It is necessary to obtain a further understanding of the behaviors and characteristics of water waves in the Bohai Sea for the coastal engineering construction and environment protection in this area. The SWAN (Simulating Waves Nearshore) model, a third-generation wave spectral model on the basis of wave action conservation has been applied to study the water waves in the Bohai Sea by several researchers, and encouraging results have been obtained. However, the calibrated parameter for a wave process at an individual station does not have universal applicability for other stations, which causing problems to anyalyze the wave characteristics in the Bohai Sea. Thus, in this study how to calibrate the SWAN model in the Bohai Sea was analyzed carefully in terms of five sets of short-term wave data and one set of long-term wave data at Tanggu. It was found that wind, whitecapping, bottom mechanisms of wave source function and tide current are the four main factors in the process of wave development. A set of optimized parameters suitable for both long-term and short-term wave processes in the Bohai Sea is suggested through the sensitivity analyses of these elements. Comparisons between the simulated results and the field measured data show that the validated model can provide more accurate results for both long-term and short-term simulations and can be used to study the wave characteristics in the Bohai Sea.

Sea-level changes in the Bohai Sea, northern China, constrained by coastal loess accumulation over the past 200 ka

2022 ◽  
Vol 277 ◽  
pp. 107368
Author(s):  
Shuangwen Yi ◽  
Lin Zeng ◽  
Zhiwei Xu ◽  
Yao Wang ◽  
Xianyan Wang ◽  
...  
Keyword(s):  
Sea Level ◽  
Bohai Sea ◽  
Northern China ◽  
Sea Level Changes ◽  
The Bohai Sea ◽  
The Past

Study on Characteristics of Water Waves in Bohai Sea Using SWAN Model

2014 ◽  
Vol 522-524 ◽  
pp. 983-989
Author(s):  
Dao Sheng Wang ◽  
Xiang Cui Lv ◽  
De Kui Yuan
Keyword(s):  
Wave Height ◽  
Water Waves ◽  
Bohai Sea ◽  
Measured Data ◽  
Wave Direction ◽  
Short Term ◽  
The Bohai Sea ◽  
Good Agreement ◽  
Term Field

The SWAN (Simulating WAves Nearshore) model was applied to study the characteristics of water waves in the Bohai Sea. The model was calibrated against both short-term and long-term field measured data from six different stations in the Bohai Sea and the computational results are in good agreement with the measured data. Then the wave process during 1999 to 2009 in the Bohai Sea was simulated using the calibrated model. The wave characteristics such as significant wave height, average period, dominant wave direction and their seasonal variations were analyzed based on the simulated results. The distributions of wave height and wave period are similar to those of the previous studies, but the wave height is slightly smaller than that given by other researchers.

Interannual-decadal variation in satellite-derived surface chlorophyll-a concentration in the Bohai Sea over the past 16 years

2021 ◽  
Vol 215 ◽  
pp. 103496
Author(s):  
Fangguo Zhai ◽  
Wenfan Wu ◽  
Yanzhen Gu ◽  
Peiliang Li ◽  
Xiukai Song ◽  
...  
Keyword(s):  
Chlorophyll A ◽  
Bohai Sea ◽  
Decadal Variation ◽  
Chlorophyll A Concentration ◽  
The Bohai Sea ◽  
The Past

scholarly journals NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China

2021 ◽  
Author(s):  
Yu Yan ◽  
Wei Gu ◽  
Andrea M. U. Gierisch ◽  
Yingjun Xu ◽  
Petteri Uotila
Keyword(s):  
Climate Change ◽  
Sea Ice ◽  
Bohai Sea ◽  
Risk Mitigation ◽  
Numerical Models ◽  
Coupled Model ◽  
Remote Sensing Data ◽  
Economic Activities ◽  
The Bohai Sea

Abstract. Severe ice condition in the Bohai Sea could cause serious harm to maritime traffic, offshore oil exploitation, aquaculture, and other economic activities in the surrounding regions. In addition to providing sea ice forecasts for disaster prevention and risk mitigation, sea ice numerical models could help explain the sea ice variability within the context of climate change in marine ecosystems, such as that of spotted seals, which are the only ice-dependent sea animal that breeds in Chinese waters. Here, we developed NEMO-Bohai, an ocean-ice coupled model based on the Nucleus for European Modelling of the Ocean (NEMO) model version 4.0 and Sea Ice modelling Integrated Initiative (SI3) (NEMO4.0-SI3) for the Bohai Sea. This study will present the scientific design and technical choices of the parameterizations for the NEMO-Bohai model. The model was calibrated and evaluated with in situ and satellite observations of ocean and sea ice. The model simulations agree with the observations with respect to sea surface height (SSH), temperature (SST), and salinity (SSS). The seasonal variation of the sea ice area is well simulated by the model compared to the satellite remote sensing data for the period of 1996–2017, and there are similar overall statistics in the occurrence dates of annual maximum sea ice area. The simulated sea ice thickness and volume are in general agreement with the observations with slight over-estimations. NEMO-Bohai is able to simulate seasonal sea ice evolution and long-term interannual variations. Hence, Nemo-Bohai is intended to be a useful tool for long-term ocean and ice simulations as well as the ocean and climate change studies.

scholarly journals Summer hypoxia in Bohai Sea caused by changes in phytoplankton community

2021 ◽  
Vol 4 (1) ◽  
pp. 77-86
Author(s):  
Hao Wei ◽  
Liang Zhao ◽  
Haiyan Zhang ◽  
Youyu Lu ◽  
Wei Yang ◽  
...  
Keyword(s):  
Water Column ◽  
Bohai Sea ◽  
Phytoplankton Community ◽  
Recent Decade ◽  
Northern China ◽  
Oxygen Depletion ◽  
The Bohai Sea ◽  
Biogeochemical Models ◽  
Do Concentration

In the deep central part of the Bohai Sea off the coast of northern China, long-term observations show significantly lower dissolved oxygen (DO) concentration near the bottom in summer during 2006–2018 than during 1978–2005. The decrease in bottom DO is closely linked to changes in phytoplankton community driven by nutrient structure changes in the water column. From literature review, observations in the phytoplankton community structure indicate an increase in the abundant proportion of dinoflagellate to diatom and miniaturization since the 21st century. The new dominate species of dinoflagellate and the pico- and nano-celled algae detritus, with slow sinking rate and long residence time, favor the efficient oxygen consumption in the water column and lead to oxygen depletion enhancement and DO concentration decrease after 2006. Analyses also suggest that water temperature, stratification, and resuspension of sediment play less significant roles in long-term variations of DO. The linkage of hypoxia formation to changes of phytoplankton community answers why hypoxia in the Bohai Sea started to occur in the recent decade while eutrophication began since the 1980s. The identified new mechanism of hypoxia formation may be applicable to other coastal seas where eutrophication has led to changes in the phytoplankton community, and should be considered in biogeochemical models.

scholarly journals Analysis on the Extreme Sea Levels Changes along the Coastline of Bohai Sea, China

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 324 ◽  
Author(s):  
Jianlong Feng ◽  
Delei Li ◽  
Hui Wang ◽  
Qiulin Liu ◽  
Jianli Zhang ◽  
...  
Keyword(s):  
Sea Level ◽  
Bohai Sea ◽  
High Tide ◽  
Tide Gauges ◽  
Mean Sea Level ◽  
Sea Levels ◽  
The Bohai Sea ◽  
Extreme Sea Levels ◽  
The Mean

Using hourly sea level data from four tide gauges, the changes of the extreme sea level in the Bohai Sea were analyzed in this work. Three components (i.e., mean sea level, tide and surge) as well as the tide–surge interaction were studied to find which component was important in the changes of extreme sea levels. Significant increasing trends exist in the mean sea level at four tide gauges from 1980 to 2016, and the increase rate ranges from 0.2 to 0.5 cm/year. The mean high tide levels show positive trends at four tide gauges, and the increasing rate (0.1 to 0.3 cm/year) is not small compared with the long-term trends of the mean sea levels. However, the mean tidal ranges show negative trends at Longkou, Qinhuangdao and Tanggu, with the rate from about −0.7 to −0.2 cm/year. At Qinhuangdao and Tanggu, the annual surge intensity shows explicit long-term decreasing trend. At all four tide gauges, the storm surge intensity shows distinct inter-annual variability and decadal variability. All four tide gauges show significant tide–surge interaction, the characteristics of the tide–surge interaction differ due to their locations, and no clear long-term change was found. Convincing evidence implies that the extreme sea levels increase during the past decades from 1980 to 2016 at all tide gauges, with the increasing rate differing at different percentile levels. The extreme sea level changes in the Bohai Sea are highly affected by the changes of mean sea level and high tide level, especially the latter. The surge variation contributes to the changes of extreme sea level at locations where the tide–surge interaction is relatively weak.

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