scholarly journals Influence of Tropical Cyclone Intensity and Size on Storm Surge in the Northern East China Sea

2019 ◽  
Vol 11 (24) ◽  
pp. 3033 ◽  
Author(s):  
Jian Li ◽  
Yijun Hou ◽  
Dongxue Mo ◽  
Qingrong Liu ◽  
Yuanzhi Zhang
Keyword(s):  
Tropical Cyclone ◽  
Storm Surge ◽  
East China Sea ◽  
Ocean Model ◽  
Economic Effects ◽  
East China ◽  
Cyclone Intensity ◽  
China Sea ◽  
Coastal Ocean Model ◽  
The Impact

Typhoon storm surge research has always been very important and worthy of attention. Less is studied about the impact of tropical cyclone size (TC size) on storm surge, especially in semi-enclosed areas such as the northern East China Sea (NECS). Observational data for Typhoon Winnie (TY9711) and Typhoon Damrey (TY1210) from satellite and tide stations, as well as simulation results from a finite-volume coastal ocean model (FVCOM), were developed to study the effect of TC size on storm surge. Using the maximum wind speed (MXW) to represent the intensity of the tropical cyclone and seven-level wind circle range (R7) to represent the size of the tropical cyclone, an ideal simulation test was conducted. The results indicate that the highest storm surge occurs when the MXW is 40–45 m/s, that storm surge does not undergo significant change with the RWM except for the area near the center of typhoon and that the peak surge values are approximately a linear function of R7. Therefore, the TC size should be considered when estimating storm surge, particularly when predicting marine-economic effects and assessing the risk.

scholarly journals Revisit of a Case Study of Spilled Oil Slicks Caused by the Sanchi Accident (2018) in the East China Sea

2021 ◽  
Vol 9 (3) ◽  
pp. 279
Author(s):  
Zhehao Yang ◽  
Weizeng Shao ◽  
Yuyi Hu ◽  
Qiyan Ji ◽  
Huan Li ◽  
...  
Keyword(s):  
East China Sea ◽  
Oil Spill ◽  
Oil Spills ◽  
Ocean Model ◽  
Sea Surface ◽  
East China ◽  
The East China Sea ◽  
Sar Images ◽  
China Sea ◽  
Spatial Coverage

Marine oil spills occur suddenly and pose a serious threat to ecosystems in coastal waters. Oil spills continuously affect the ocean environment for years. In this study, the oil spill caused by the accident of the Sanchi ship (2018) in the East China Sea was hindcast simulated using the oil particle-tracing method. Sea-surface winds from the European Centre for Medium-Range Weather Forecasts (ECMWF), currents simulated from the Finite-Volume Community Ocean Model (FVCOM), and waves simulated from the Simulating WAves Nearshore (SWAN) were employed as background marine dynamics fields. In particular, the oil spill simulation was compared with the detection from Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) images. The validation of the SWAN-simulated significant wave height (SWH) against measurements from the Jason-2 altimeter showed a 0.58 m root mean square error (RMSE) with a 0.93 correlation (COR). Further, the sea-surface current was compared with that from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Version 2 (CFSv2), yielding a 0.08 m/s RMSE and a 0.71 COR. Under these circumstances, we think the model-simulated sea-surface currents and waves are reliable for this work. A hindcast simulation of the tracks of oil slicks spilled from the Sanchi shipwreck was conducted during the period of 14–17 January 2018. It was found that the general track of the simulated oil slicks was consistent with the observations from the collected GF-3 SAR images. However, the details from the GF-3 SAR images were more obvious. The spatial coverage of oil slicks between the SAR-detected and simulated results was about 1 km2. In summary, we conclude that combining numerical simulation and SAR remote sensing is a promising technique for real-time oil spill monitoring and the prediction of oil spreading.

Overcoming the challenges of a shallow-water sparse wide-azimuth survey to improve deep reservoir imaging in the East China Sea

2019 ◽  
Vol 38 (8) ◽  
pp. 610-616
Author(s):  
Yun Wei ◽  
Hua Chen ◽  
Senqing Hu ◽  
Peipei Deng ◽  
Yongdeng Xiao ◽  
...  
Keyword(s):  
Shallow Water ◽  
East China Sea ◽  
Three Dimensional ◽  
Water Layer ◽  
Velocity Model ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Well Data ◽  
The Impact

A new broadband wide-azimuth towed-streamer (WATS) survey was acquired to better resolve reservoir compartments in a shallow-water region of the East China Sea. To offset the shortcomings of narrow-azimuth acquisition along the strike direction, two vessels were added side-by-side as additional source vessels to form the WATS acquisition geometry for this survey. This WATS acquisition was much sparser than typical WATS surveys used in deepwater environments due to its one-sided configuration. The combination of sparse acquisition, shallow water, and deep targets set the challenge of how to optimally reveal the potential of side-gun data to improve the final image. Three-dimensional effects and severe aliasing in the crossline direction pose significant challenges for side-gun data processing. We present a comprehensive workflow to resolve these challenges consisting of 3D deghosting, 3D model-based water-layer demultiple, 3D surface-related multiple elimination, and 4D regularization for sparse and shallow-water wide-azimuth data. A tilted orthorhombic velocity model is built with better constraints from the wide-azimuth data, leading to improved fault positioning and imaging. Side-gun data clearly enhance the final target reservoir image and tie better with well data due to improved illumination. A new channel is discovered based on interpretation from the inverted VP/VS, explaining the previous incorrect prediction for one failed well that was drilled into a thinner and shallower channel unconnected to the main reservoir. An analysis of the impact of side-gun data from different offsets and azimuths shows that better azimuthal distribution within middle offset ranges had a more significant impact than far offsets in the final image of this survey. This information provides valuable reference in similar geologic conditions for future acquisition designs.

scholarly journals Impacts of climate change and emissions on atmospheric oxidized nitrogen deposition over East Asia

2018 ◽  
Author(s):  
Junxi Zhang ◽  
Yang Gao ◽  
L. Ruby Leung ◽  
Kun Luo ◽  
Huan Liu ◽  
...  
Keyword(s):  
Climate Change ◽  
East Asia ◽  
East China Sea ◽  
Atmospheric Chemistry ◽  
East China ◽  
Anthropogenic Emission ◽  
China Sea ◽  
Rcp 8.5 ◽  
Emission Changes ◽  
The Impact

Abstract. A multi-model ensemble of Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) simulations are used to study the atmospheric oxidized nitrogen (NOy) deposition over East Asia under climate and emission changes projected for the future. Both dry and wet NOy deposition shows significant decreases in the 2100s under RCP 4.5 and RCP 8.5, primarily due to large anthropogenic emission reduction over both land and sea. However, in the near future of the 2030s, both dry and wet NOy deposition increases significantly due to continued increase in emissions. The individual effect of climate or emission changes on dry and wet NOy deposition is also investigated. The impact of climate change on dry NOy deposition is relatively minor, but the effect on wet deposition, primarily caused by changes in precipitation, is much higher. For example, over the East China Sea, wet NOy deposition increases significantly in summer due to climate change by the end of this century under RCP 8.5, which may subsequently enhance marine primary production. Over the coastal seas of China, as the transport of NOy from land becomes weaker due to the decrease of anthropogenic emissions, the effect of ship emission and lightning emission becomes more important. On average, seasonal mean total NOy deposition is projected to be enhanced by 24–48 % and 3 %–37 % over Yellow Sea and East China Sea, respectively, by the end of this century. Therefore, continued control of both anthropogenic emission over land and ship emissions may reduce NOy deposition to the Chinese coastal seas.

The impact of hurricane Nari on the marine environment in the East China Sea

2009 ◽  
Author(s):  
Dongyang Fu ◽  
Ning Li ◽  
Youzhuan Ding ◽  
Delu Pan
Keyword(s):  
East China Sea ◽  
Marine Environment ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
The Impact

A comparative study of storm surge and wave setup in the East China Sea between two severe weather events

2020 ◽  
Vol 235 ◽  
pp. 106583 ◽  
Author(s):  
Kai Wang ◽  
Yijun Hou ◽  
Shuiqing Li ◽  
Mei Du ◽  
Jinrui Chen ◽  
...  
Keyword(s):  
Comparative Study ◽  
Storm Surge ◽  
East China Sea ◽  
Severe Weather ◽  
East China ◽  
The East China Sea ◽  
Wave Setup ◽  
China Sea ◽  
Weather Events

scholarly journals Increasing Historical Tropical Cyclone-Induced Extreme Wave Heights in the Northern East China Sea during 1979 to 2018

2020 ◽  
Vol 12 (15) ◽  
pp. 2464
Author(s):  
Shuiqing Li ◽  
Haoyu Jiang ◽  
Yijun Hou ◽  
Ning Wang ◽  
Jiuyou Lu
Keyword(s):  
Tropical Cyclone ◽  
East China Sea ◽  
Wave Height ◽  
Wind Waves ◽  
Rate Of Change ◽  
East China ◽  
Extreme Wave ◽  
Study Region ◽  
China Sea ◽  
Wave Heights

Tropical cyclone (TC)-induced wind waves are a major concern in coastal safety, therefore quantifying the long-term change in extreme TC waves is critical for the design of coastal infrastructures and for understanding variations in coastal morphology. In this study, a trend analysis is performed on the TC-induced extreme wave heights in the northern East China Sea using numerically simulated wave height data during the period of 1979 to 2018. The simulation was forced with historical TC winds constructed using a parametric TC wind model with satellite-observed TC best-track data as the input. The results show consistently increasing extreme wave heights throughout the study region, which are induced predominantly by the increasing TC intensity. The increase rates (0.01–0.08 m yr−1) are relatively large (small) in offshore (nearshore) waters and at relatively high (low) latitudes. The spatial variability of the wave height trend is highly sensitive to the type of TC track. An analytical model of extreme wave height trend is developed that can efficiently estimate the rate of change in the extreme wave heights using extreme wind speed information.

Simulating tropical cyclone waves in the East China Sea with an event-based, parametric-adjusted model

2020 ◽  
Vol 76 (6) ◽  
pp. 439-457 ◽  
Author(s):  
Xuan Wang ◽  
Chenyang Yao ◽  
Guoping Gao ◽  
Haoyu Jiang ◽  
Dali Xu ◽  
...  
Keyword(s):  
Tropical Cyclone ◽  
East China Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Event Based ◽  
Adjusted Model
Sign in / Sign up

Export Citation Format

Share Document