Utilization of black-tailed gull (Larus crassirostris) eggs for monitoring of mercury levels in coastal areas of South Korea: Preliminary study

2020 ◽  
Vol 713 ◽  
pp. 136578 ◽  
Author(s):  
Jangho Lee ◽  
Soo Yong Lee ◽  
David Chung ◽  
Ki-Wan Park ◽  
Kyuyoung Shim ◽  
...  
Keyword(s):  
South Korea ◽  
Coastal Areas ◽  
Preliminary Study

Preliminary study of DDTs variability depending on the egg-laying order of Black-tailed Gull (Larus crassirostris) breeding at Baengnyeongdo, South Korea

2017 ◽  
Vol 24 (2) ◽  
pp. 41-51 ◽  
Author(s):  
Jangho Lee ◽  
Jongchun Lee ◽  
Heeyeon Jang ◽  
Jong-Hyouk Park ◽  
Kyuyoung Shim
Keyword(s):  
South Korea ◽  
Egg Laying ◽  
Laying Order ◽  
Preliminary Study

A preliminary study of T-2 and HT-2 toxins in cereals sold in traditional market in South Korea

Food Control ◽  
2011 ◽  
Vol 22 (8) ◽  
pp. 1408-1412 ◽  
Author(s):  
N. Kassim ◽  
K. Kim ◽  
A.B. Mtenga ◽  
J.-E. Song ◽  
Q. Liu ◽  
...  
Keyword(s):  
South Korea ◽  
Traditional Market ◽  
Preliminary Study

Geographical distribution and accumulation features of organochlorine residues in bivalves from coastal areas of South Korea

2002 ◽  
Vol 45 (1-12) ◽  
pp. 268-279 ◽  
Author(s):  
S.-K. Kim ◽  
J.R. Oh ◽  
W.J. Shim ◽  
D.H. Lee ◽  
U.H. Yim ◽  
...  
Keyword(s):  
South Korea ◽  
Geographical Distribution ◽  
Coastal Areas

Marine Bacteria as a Leading Cause of Necrotizing Fasciitis in Coastal Areas of South Korea

2009 ◽  
Vol 80 (4) ◽  
pp. 646-650 ◽  
Author(s):  
Kyung-Hwa Park ◽  
Jae-Ha Hwang ◽  
Sook-In Jung ◽  
Jong-Hee Shin ◽  
Young-Sun Jung
Keyword(s):  
South Korea ◽  
Necrotizing Fasciitis ◽  
Marine Bacteria ◽  
Coastal Areas

scholarly journals Uncertainty Analysis of Monthly Precipitation in GCMs Using Multiple Bias Correction Methods under Different RCPs

2020 ◽  
Vol 12 (18) ◽  
pp. 7508 ◽  
Author(s):  
Young Hoon Song ◽  
Eun-Sung Chung ◽  
Mohammed Sanusi Shiru
Keyword(s):  
South Korea ◽  
Bias Correction ◽  
General Circulation ◽  
General Circulation Models ◽  
Coastal Areas ◽  
Historical Period ◽  
Monthly Precipitation ◽  
Opposite Pattern ◽  
Statistical Measures ◽  
Selection Of

This study quantified the uncertainties in historical and future average monthly precipitation based on different bias correction methods, General Circulation Models (GCMs), Representative Concentration Pathways (RCPs), projection periods, and locations within the study area (i.e., the coastal and inland areas of South Korea). The GCMs were downscaled using deep learning, random forest, and nine quantile mapping bias correction methods for 22 gauge stations in South Korea. Data from the Korean Meteorology Administration (1970–2005) were used as the reference data in this study. Two statistical measures, the standard deviation and interquartile range, were used to quantify the uncertainties. The probability distribution density was used to assess the similarity/variation in rainfall distributions. For the historical period, the uncertainty in the selection of bias correction methods was greater than that in the selection of GCMs, whereas the opposite pattern was observed for the projection period. The projection period had the lowest level of uncertainty in the selection of RCP scenarios, and for the future, the uncertainly related to the time period was slightly lower than that for the other sources but was much greater than that for the RCP selection. In addition, it was clear that the level of uncertainty of inland areas is much lower than that of coastal areas. The uncertainty in the selection of the GCMs was slightly greater than that in the selection of the bias correction method. Therefore, the uncertainty in the selection of coastal areas was intermediate between the selection of bias correction methods and GCMs. This paper contributes to an improved understanding of the uncertainties in climate change projections arising from various sources.

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