1,397 research outputs found
Report of Working Group 26 on Jellyfish Blooms around the North Pacific Rim: Causes and Consequences
๊ฒจ์ธ์ฒ ํฉํด ๋๋ฅ ํ์ฑ ๋ฐ ๋๋ฅ๋ฅผ ํตํ ํฉํด ๋ด ์ง์ฐ์ผ ์ ์ ์ ๊ดํ ์์น ์คํ ์ฐ๊ตฌ
ํ์๋
ผ๋ฌธ(๋ฐ์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์์ฐ๊ณผํ๋ํ ์ง๊ตฌํ๊ฒฝ๊ณผํ๋ถ,2020. 2. ์กฐ์๊ธฐ.The Yellow Sea (YS) is a shallow, semi-enclosed marginal sea surrounded by China and the Korean Peninsula. A deep trough is located in the central YS. The northwesterly wind drives the Yellow Sea Warm Current (YSWC) flows into the YS along the deep trough and two southward coastal currents occurs along the Chinese and Korean coasts in winter.
Previous observations have shown that the path of the YSWC has shifted to the west from the deep trough one or two days after northerly wind bursts. However, exact evolution process of the YSWC remains unclear. Model results in this study suggested that the YSWC occurs along the deep trough one day after the wind burst. It shifts to the west of the trough two days later, which phenomenon is generally referred to as the westward shift of the YSWC.
Previous studies have proposed a possibility that the westward shift can be driven by continental shelf waves (CSWs). Idealized models were performed to figure out the relationship between CSWs and the westward shift, and generation mechanism of the CSWs driving the shift. The westward shift appeared from the north to south with the propagation of sea surface height at a speed of 3 m/s that was consistent with the phase speed of the first mode CSW. CSWs driving the westward shift were generated on the northern slope primarily by scattering of barotropic Kelvin waves that developed due to northerly wind and propagated poleward into the YS along the eastern boundary off Korea.
The YSWC plays an important role in the ecosystem of the YS, because it provides an external water mass in winter. A physical-biogeochemical coupled model and several sensitivity experiments were performed to reveal the role of the YSWC in nitrate (NO3) budget of the YS and quantify contributions of external sources and biological process to NO3 in the YS. Multiple sensitivity experiments revealed quantitative contribution of NO3 from the Changjiang River, Kuroshio Current (KC), run-off in the YS, and Taiwan Warm Current (TWC). 51 percent of total NO3 in the YS was estimated from the Changjiang River and 25 percent from the KC and rivers in the YS, respectively. The TWC contributed 8 percent. Change by nitrification process due to the biological activity was estimated less than 1 percent of the total NO3 in the YS. The estimation of NO3 flux into the YS suggested that 20 percent of total mass NO3 in the YS was supplied by the YSWC during winter. Relative NO3 contributions of the Changjiang River, KC, and TWC through the YSWC to the total inflow to the YS were 64, 29, and 10 percent, respectively.ํฉํด๋ ํ๋ฐ๋์ ์ค๊ตญ ์ฌ์ด์ ์กด์ฌํ๋ ๋ฐํ์์ฑ ํด์ญ์ด๋ฉฐ ํด์ญ ์ค์์๋ ์์ฌ 90 m ์ด์์ ๊น์ ๊ณจ์ด ์กด์ฌํ๋ค. ๊ฒจ์ธ์ฒ ํฉํด์ ๋ํ๋๋ ์ฃผ์ ํด๋ฅ๋, ๋ถ์๊ณ์ ํ์ผ๋ก ์ธํด ์ค๊ตญ ๋ฐ ํ๊ตญ ์ฐ์์๋ ๋จํฅํ๋ ํ๋ฆ์ด ์กด์ฌํ๋ฉฐ ๊น์ ๊ณจ์๋ ๋ฐ๋์ ๋ฐ๋ ๋ฐฉํฅ์ผ๋ก ๋ถํฅํ๋ ํฉํด ๋๋ฅ๊ฐ ๋ํ๋๋ค. ๊ด์ธก์ ํตํด ํฉํด ๋๋ฅ์ ๊ฒฝ๋ก๋ ํฉํด ๋ด๋ถ ๊น์ ๊ณจ์ ์์ชฝ์ผ๋ก ์น์ฐ์ณ์ ธ ์๊ณ ๋ฐ๋์ด ๋ถ ๋ค ํ๋ฃจ๋ ์ดํ ๋ค ๊ฐํด์ง๋ค๊ณ ๋ณด๊ณ ๋์์ผ๋, ํ์ฑ๊ณผ์ ์ ๋ํด์ ์์ธํ ๋ณด๊ณ ๋ ๋ฐ๊ฐ ์๋ค. ๋ณธ ์ฐ๊ตฌ์ ๋ชจ๋ธ ์ํ ๊ฒฐ๊ณผ, ๊ฒจ์ธ์ฒ ํฉํด์๋ ํ๊ท ์ ์ผ๋ก ์๊ณ๋ฐฉํฅ์ ์ํ์ด ๋ฐ์ํ์์ผ๋ฉฐ, ์๊ฐ์ง์ฐ ์๊ด๊ด๊ณ ๋ถ์ ๊ฒฐ๊ณผ, ํฉํด ๋๋ฅ๋ ๋ฐ๋์ด ๋ถ ํ๋ฃจ ๋ค ๊น์ ๊ณจ์ ์ถํํ์์ผ๋ฉฐ ์ดํ ๋ค ๊ณจ์ ์์ชฝ์ผ๋ก ํธํฅ๋๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค.
์ ํ์ฐ๊ตฌ๋ ํฉํด ๋๋ฅ์ ์์ชฝ ํธํฅ ํ์์ด ๋๋ฅ๋ถํ์ ์ํด ๋ฐ์ ํ ์ ์๋ค๊ณ ์ฃผ์ฅํ๊ณ ์๋ค. ์งํ์ ๊ฐ์ํํ ๋ชจ๋ธ์ ํตํด ํฉํด ๋๋ฅ์ ์์ชฝ ํธํฅ ํ์๊ณผ ํธํฅ ํ์์ ์ฃผ ์์ธ์ธ ๋๋ฅ๋ถํ์ ์ญํ ๋ฐ ํ์ฑ ๊ธฐ์์ ๋ํด ์ฐ๊ตฌํ์๋ค. ๋ณธ ์ฐ๊ตฌ ๊ฒฐ๊ณผ, ํฉํด ๋๋ฅ์ ์์ชฝ ํธํฅ ํ์์ ๋๋ฅ๋ถํ์ ์ ํ์ ํจ๊ป ๋ฐ์ํ์์ผ๋ฉฐ ํธํฅ ํ์์ ์ ํ ์๋๋ 2.99 m/s ๋ก ๋๋ฅ๋ถํ์ 1๋ฒ ๋ชจ๋ ์ ํ ์๋์ ์ผ์นํ์๋ค. ๋๋ฅ๋ถํ๋ ๋ฐ๋์ ์ํด ๊ฒฝ์ฌ๊ฐ ์๋ ์ง์ญ์์ ๋ฐ์ํ ์ ์์ง๋ง, ํธํฅ ํ์์ ์ฃผ๋ํ๋ ๋๋ฅ๋ถํ๋ ๊ฒจ์ธ์ฒ ๋ถํ์ผ๋ก ์ธํด ๋ฐ์ํ๋ ์บ๋น ํ๊ฐ ํฉํด์ ๋ถ์ชฝ ์ฌ๋ฉด์์ ์ฐ๋ ๋๋ฉด์ ๋ฐ์ํ๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค.
ํฉํด ๋๋ฅ๋ ์ธ๋ถ์ ์๊ดด๋ฅผ ํฉํด ๋ด๋ถ๋ก ์ ์
์ํค๊ธฐ ๋๋ฌธ์ ํฉํด ์ํ๊ณ์๋ ์ค์ํ ์ญํ ์ ํ๋ค. ๋ฌผ๋ฆฌ-์์งํํ ์ ํฉ ๋ชจ๋ธ์ ํตํด ํฉํด ๋๋ฅ๋ก ์ธํ ์ง์ฐ์ผ ์ ์
๋์ ์ฐ๊ตฌํ์์ผ๋ฉฐ, ์ธ๋ถ ์ ์
์ ๋ฐ ์งํ ์์ฉ์ ํตํ ์๋ฌผํ์ ์ธ ๊ณต๊ธ๋์ ์ ๋ํ ํ์๋ค. ๊ด์ธก ์๋ฃ๋ฅผ ํตํด ํฉํด ์ฃผ๋ณ์ ์ง์ฐ์ผ ๋๋๊ฐ ๋์ ์๊ดด๋ฅผ ์ดํด๋ณธ ๊ฒฐ๊ณผ, ํฉํด ๋ด๋ถ์ ํฉํด์ ์ธต๋์์ ์ฟ ๋ก์์ค ํด๋ฅ๊ฐ ๊ธฐ์์ธ ๋ํํดํ ์ค์ธต์์ ์ง์ฐ์ผ ๋๋๊ฐ ๋์๋ค. ๋ฏผ๊ฐ๋ ์คํ์ ํตํด ์์๊ฐ, ์ฟ ๋ก์์ค ํด๋ฅ, ๋๋ง ๋๋ฅ, ํฉํด ๋ด๋ถ ๊ฐ๋ค์ ํจ๊ณผ, ๊ทธ๋ฆฌ๊ณ ์งํ ์์ฉ์ ๊ธฐ์ฌ๋๋ฅผ ๊ฐ๊ฐ ์ฐ์ ํ์๋ค. ํฉํด ์ง์ฐ์ผ์ 51%๊ฐ ์์๊ฐ ๊ธฐ์์ด์์ผ๋ฉฐ, ์ฟ ๋ก์์ค ํด๋ฅ ๊ทธ๋ฆฌ๊ณ ํฉํด ๋ด๋ถ ๊ฐ๋ค์ด ์ ์ฒด ์ง์ฐ์ผ์ ์ฝ 25%์ฉ ์ฐจ์งํ๊ณ ์์๊ณ ๋๋ง๋๋ฅ๋ก๋ถํฐ ๊ธฐ์ธํ ์ง์ฐ์ผ์ ์ ์ฒด์ 5% ์ ๋๋ก ์ ์ ์์ด ์ ์
๋๋ ๊ฒ์ ์ ์ ์์๋ค. ์งํ ์์ฉ์ ํตํ ์ ์
์ 1% ์๋๋ก ๋ฎ๊ฒ ๋ํ๋ฌ์ผ๋ฉฐ, ์ด๋ ํฉํด์ ์กด์ฌํ๋ ์ง์ฐ์ผ์ ์๋ฌผํ์ ์ธ ๊ณต๊ธ๋ณด๋ค ํด๋ฅ๋ค๋ก ์ธํด ์ธ๋ถ๋ก๋ถํฐ ์ ์
๋๋ ๊ฒ์์ ์๋ฏธํ๋ค. ๊ฐ ๊ธฐ์์ ๊ณต๊ฐ์ ์ธ ๊ธฐ์ฌ๋๋ฅผ ์ดํด๋ณธ ๊ฒฐ๊ณผ, ์์๊ฐ ๊ธฐ์ ์ง์ฐ์ผ์ ํฉํด ์ค์๋ถ ๋ฐ ์์ชฝ์์ ๊ธฐ์ฌ๋๊ฐ ๋๊ฒ ๋ํ๋ฌ์ผ๋ฉฐ, ์ฟ ๋ก์์ค ํด๋ฅ ๊ธฐ์ ์ง์ฐ์ผ์ ํฉํด ์ค์๋ถ์ ์กด์ฌํ๋ ์ง์ฐ์ผ์ ๋ถ์ฐจ์ ์ธ ๊ธฐ์ฌ๋ฅผ ํ๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ํฉํด ๋ด๋ถ ๊ฐ๋ฌผ์ ์ํ ์ง์ฐ์ผ ์ ์
์ ํฉํด ๋์ชฝ ์ฐ์๊ณผ ์ฐ๋ฅ๋ฐ๋ ์ฃผ๋ณ ์ฐ์์ ๊ตญํ๋์ด ์ํฅ์ ์ฃผ์๋ค. ํฉํด ๋๋ฅ๋ก ์ธํด ์ ์
๋๋ ์ง์ฐ์ผ ์์ 0.137 Tg N ๋ก ๊ฒจ์ธ์ฒ ํฉํด ๋ด๋ถ ํ๊ท ์ง์ฐ์ผ ์ง๋์ ์ฝ 20% ์ ๋๊ฐ ํฉํด ๋๋ฅ๋ก ์ธํด ์ ์
๋๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ํฉํด ๋๋ฅ๋ก ์ธํด ์ ์
๋๋ ์ง์ฐ์ผ ์ค ์์๊ฐ, ์ฟ ๋ก์์ค ํด๋ฅ, ๋๋ง๋๋ฅ ๊ธฐ์์ ์ ๋ํํ ๊ฒฐ๊ณผ, ๊ฐ๊ฐ 64%, 29%, ๊ทธ๋ฆฌ๊ณ 10%๋ฅผ ์ฐจ์งํ๊ณ ์์์ ์ ์ ์์๋ค.1. General Introduction ๏ผ
2. Evolution of wind-driven flows in the Yellow Sea during winter 7
2.1. Introduction 7
2.2. Model configuration 8
2.3. Model validation 10
2.4. Model results 13
2.4.1 Mean flow in winter 13
2.4.2 Temporal variation of the YSWC 15
2.4.3 Correlation between northwesterly wind and meridional flow 19
2.4.4 Correlation between northwesterly wind and zonal flow 23
2.4.5 Evolution of actual flow in response to northwesterly wind burst 25
2.5. Summary 29
3. Numerical investigation of the generation of continental shelf waves and their role in the westward shift of the YSWC 31
3.1. Introduction 31
3.2. Model configuration 33
3.3. Results and Discussion 36
3.3.1 Westward shift of upwind flow with equatorward propagation of CSWs along the Chinese coast 36
3.3.2 Characteristics of CSWs driving westward shifting 42
3.3.3 Generation of CSWs driving the westward shift of the YSWC 47
3.3.4 Effects of periodic wind and the Shandong Peninsula on the westward shift of the upwind flow 57
3.3.5 Model application to realistic topography in the YS 64
3.4. Conclusion 71
4. Contribution of the YSWC to nitrate flux in the YS based on a 3-D physical-biogeochemical coupled model 73
4.1. Introduction 73
4.2. Data and Model configuration 75
4.3. Results and Discussion 86
4.3.1 Seasonal variations in temperature, salinity, chlorophyll, and NO3 in the YS 86
4.3.2 NO3 fluxes in the ECS 92
4.3.3 Water mass analysis to figure out the sources of NO3 94
4.3.4 Contribution of each origin of NO3 in the YS 97
4.3.5 Estimation of NO3 flux by the YSWC 103
4.3.6 Limitations of this study and future works 108
4.4. Conclusion 109
5. Summary and conclusion 112
References 115
Abstract (in Korean) 138Docto
Transport of FNPP1-derived radiocaesium from subtropical mode water in the western North Pacific Ocean to the Sea of Japan
This study investigated the spatio-temporal variations in activity
concentrations in the Sea of Japan (SOJ) of 137Cs and these transport
process from the North Pacific Ocean to the SOJ through the East China Sea
(ECS) during 2012โ2016. The 137Cs activity concentrations in the SOJ
have been increasing since 2012โ2013 and reached a maximum in 2015โ2016 of
approximately 3.4 Bq mโ3, more than twice the pre-Fukushima accident
137Cs activity concentration of โโผโ1.5 Bq mโ3. The
134Cs โ 137Cs activity ratios ranged from 0.36 to 0.51 in 2016.
After taking into account radioactive decay and ocean mixing, we concluded
that these 134Cs โ 137Cs activity ratios were evidence that the
Fukushima accident caused the increase in the 137Cs activity
concentrations. In the North Pacific south of Japan (NPSJ), the highest
137Cs activities in 2012โ2013 were observed in water from a depth of
300 m, the potential water density anomaly (ฯฮธ) of which
corresponded to subtropical mode water (STMW). In the ECS, a clear increase
in the 137Cs activity concentration started at a depth of 140 m
(ฯฮธโ=โ 25.2 kg mโ3) in April 2013, propagated to the
surface layers at depths of roughly 0โ50 m, reached a maximum in 2015 and
decreased in subsequent years. In the ECS, the Fukushima-derived radiocaesium
activity concentration in surface water reached a maximum in 2014โ2015,
whereas the concentration in the SOJ reached a maximum in 2015โ2016. The
propagation of Fukushima-derived radiocaesium in surface seawater from the
ECS into the SOJ therefore required approximately 1ย year. These temporal
changes in 137Cs activity concentrations and 134Cs โ 137Cs
activity ratios indicated that part of the 137Cs and 134Cs derived
from the Fukushima accident (FNPP1-derived 137Cs and134Cs) was
transported within several years to the ECS and then to the SOJ via STMW from
the NPSJ. The integrated amount of FNPP1-derived 137Cs that entered the
SOJ before 2016 was estimated to be 0.21ยฑ0.01 PBq, 5.0 % of the
estimated total amount of FNPP1-derived 137Cs in the STMW. The
integrated amount of FNPP1-derived 137Cs that returned to the North
Pacific Ocean through the Tsugaru Strait was estimated to be 0.09ยฑ0.01 Bq, 43 % of the total amount of FNPP1-derived 137Cs
transported to the SOJ and 2.1 % of the estimated total amount of
FNPP1-derived 137Cs in the STMW.</p
Satellite-Based Fog Detection: A Dynamic Retrieval Method for Europe Based on Machine Learning
Fog has many economic as well as ecological impacts and it directly affects human life in many ways. The large number of fog influence factors shows that a comprehensive understanding of its causes and a precise mapping of the spatio-temporal distribution patterns are of great interest. Since there are justifiable concerns about the general applicability of existing fog retrieval methods, this thesis investigates new techniques of satellite based fog detection and the derivation of spatio-temporal information on fog distribution in Europe. The central novelties of this study are:
- No static assumptions about microphysical properties were used during fog retrieval.
- A novel hybrid approach based on machine learning methods was developed that can be continuously applied 24 hours a day.
- The algorithm covers all fog types. Areas of different fog types could also be differentiated indirectly from the generated product due to their typical diurnal and annual frequency cycles.
- For the first time, fog frequency maps for Europe could be produced for different general weather situations separately for each fog type
Methane dynamics in the coastalโContinental shelf transition zone of the Gulf of Cadiz
The concentration of CH4 in water was measured along five transects in the Gulf of Cadiz (Trafalgar, Sancti Petri, Guadalquivir, Tinto - Odiel and Guadiana) during four cruises throughout the months of March, June, September and December 2016. For two of the cruises water overlying three mud volcanoes situated in the Gulf of Cadiz were also sampled (San Petersburgo, 860 m; Pipoca, 460 m; and Anastasya, 500 m. In addition, the stable carbon isotopic compositions of dissolved CH4 (ฮด13C) were measured in the study area in June and December 2016. The mean CH4 value for the whole water column was 10.5 ยฑ 4.3 nmol Lโ1, with large spatial and temporal variations. The highest values were found in June 2016 and the lowest in March 2016. In surface waters, the mean dissolved methane concentration was of 9.6 ยฑ 2.6 nmol Lโ1. In most of the sampling area, high concentrations of CH4 were found in subsurface waters at depths close to the thermocline and at the coastal stations. The highest concentrations were obtained from the bottom waters above the Anastasya mud volcano (125 nmol Lโ1). The stable carbon isotope compositions ranged between - 29.2 and - 58.4โฐ, and the least negative values were associated with the highest CH4 concentrations in samples from above the mud volcanoes, related to thermogenic values. The sea-air fluxes of CH4 ranged from 12.4 to 37.7 ฮผmol mโ2 dโ1, showing that the study area acts as a source of CH4 to the atmosphere
Marine Nitrogen Fixation and Phytoplankton Ecology
Many oceans are currently undergoing rapid changes in environmental conditions such as warming temperature, acidic water condition, coastal hypoxia, etc. These changes could lead to dramatic changes in the biology and ecology of phytoplankton and consequently impact the entire marine ecosystems and global biogeochemical cycles. Marine phytoplankton can be an important indicator for the changes in marine environments and ecosystems since they are major primary producers that consolidate solar energy into various organic matter transferred to marine ecosystems throughout the food-webs. Similarly, the N2 fixers (diazotrophs) are also vulnerable to changing environmental conditions. It has been found that the polar regions can be introduced to diazotrophic activity under warming conditions and the increased N availability can lead to elevated primary productivity. Considering the fundamental roles of phytoplankton in marine ecosystems and global biogeochemical cycles, it is important to understand phytoplankton ecology and N2 fixation as a potential N source in various oceans. This Special Issue provides ecological and biogeochemical baselines in a wide range of geographic study regions for the changes in marine environments and ecosystems driven by global climate changes
Do bacteria thrive when the ocean acidifies? Results from an off-ยญshore mesocosm study
Marine bacteria are the main consumers of the freshly produced organic matter. In order to meet their carbon demand, bacteria release hydrolytic extracellular enzymes that break down large polymers into small usable subunits. Accordingly, rates of enzymatic hydrolysis have a high potential to affect bacterial organic matter recycling and carbon turnover in the ocean. Many of these enzymatic processes were shown to be pH sensitive in previous studies. Due to the continuous rise in atmospheric CO2 concentration, seawater pH is presently decreasing at a rate unprecedented during the last 300 million years with so-far unknown consequences for microbial physiology, organic matter cycling and marine biogeochemistry.
We studied the effects of elevated seawater pCO2 on a natural plankton community during a large-scale mesocosm study in a Norwegian fjord. Nine 25m-long Kiel Off-Shore Mesocosms for Future Ocean Simulations (KOSMOS) were adjusted to different pCO2 levels ranging from ca. 280 to 3000 ยตatm by stepwise addition of CO2 saturated seawater. After CO2 addition, samples were taken every second day for 34 days. The first phytoplankton bloom developed around day 5. On day 14, inorganic nutrients were added to the enclosed, nutrient-poor waters to stimulate a second phytoplankton bloom, which occurred around day 20.
Our results indicate that marine bacteria benefit directly and indirectly from decreasing seawater pH. During both phytoplankton blooms, more transparent exopolymer particles were formed in the high pCO2 mesocosms. The total and cell-specific activities of the protein-degrading enzyme leucine aminopeptidase were elevated under low pH conditions. The combination of enhanced enzymatic hydrolysis of organic matter and increased availability of gel particles as substrate supported higher bacterial abundance in the high pCO2 treatments. We conclude that ocean acidification has the potential to stimulate the bacterial community and facilitate the microbial recycling of freshly produced organic matter, thus strengthening the role of the microbial loop in the surface ocean
On the Link between the Subseasonal Evolution of the North Atlantic Oscillation and East Asian Climate
- โฆ