• Journal of Environmental Health Sciences
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• v.46 no.3
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• pp.353-358
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• 2020

Objectives: An outbreak of pathogenic Escherichia coli food poisoning in Korea was first reported in 1998. They have continued to occure since then. This study was performed to describe the long-term trend in pathogenic E. coli food poisoning occurrences in Korea and examine the relation with climate factors. Methods: Official Korean statistics on food poisoning outbreaks and meteorological data for the period 2002-2017 were used. Pearson's correlation analysis was employed to establish the relationship between outbreaks of pathogenic E. coli food poisoning and meteorological factors. The influence of meteorological factors upon the outbreaks was analyzed by regression analysis. Results: During the study period, pathogenic E. coli food poisoning ranked second for the number of outbreaks (excluding unknowns) and first for the number of cases. Average temperature, the highest and lowest temperatures, precipitation, number of days with rainfall, and humidity all had a significant correlation with monthly number of outbreaks of pathogenic E. coli food poisoning (p<0.001). It was found that the lowest and highest temperatures and precipitation had a significant influence on the monthly number of outbreaks of food poisoning (p<0.001). These variables together explained 42.1% of the total variance, with the lowest temperature having the greatest explanatory power. Conclusion: These results show that food poisoning incidences may have been influenced by climate change, especially warming. The results also suggest that pathogenic E. coli infections are now an important public health issue in Korea since it is one of the countries where climate change is occurring rapidly.

• Journal of Forest and Environmental Science
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• v.11 no.1
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• pp.61-71
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• 1995

From Salix maximowiczii of the Korean Salix, morphological and palynological characters were investigated by stereoscopic, light, and scanning electron microscopes. Also, this study was eonducted to investigate the effect of meteorological factors on the disjunct distribution in Salix maximowiczii forests grown within the restricted region. 1. Morphological characters of S. maximowiczii clarified with the descriptions and figures. 2. The palynological description was made to the S. maximowiczii and identified distinctly species. 3. S. maximowiczii is distributed only in Baekdam and Hangyeryong valley of Mt. Sorak in Kangwon-do, and valley of height region in Kyeongseong-gun (Hamgyongbuk-do), Sinhueng-gun, and Pungsan-gun (Hamgyongnam-do) in North Korea. 4. Water factors was better than temperature factors in the influence of meteorological factors for disjunct distribution. 5. These ecological and taxonomical informations could be used in practical application for silvicultural prescription, such as erosion control forest, timber production, and development of green area in river bank.

• Journal of The Korean Society of Grassland and Forage Science
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• v.43 no.2
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• pp.75-87
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• 2023

This research was conducted to analyze the cultivation performance and meteorological data of winter rye in Suwon, Gyeonggi Province, and Daegu for 11 years. The objective was to compare the growth and yield of domestically cultivated Korean rye cultivar "Gogu" and identify the factors influencing them, to determine suitable cultivation areas for Korean rye cultivar in the country. The results of the study showed that both Daegu and Suwon regions possess favorable climatic conditions for winter rye cultivation, with Suwon exhibiting a superior moisture supply compared to Daegu. Furthermore, the analysis of climate suitability revealed that rainfall days and precipitation were significant factors affecting rye cultivation. Through correlation and principal component analysis, the research evaluated the interrelationship between climate, cultivation factors, and winter rye crop performance, as well as identified variations among winter rye cultivation regions. This study provides valuable insights and information for winter rye cultivation in the country, thereby assisting in the decision-making process for selecting optimal cultivation areas.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.3
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• pp.249-261
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• 2003

A three-dimensional mesoscale atmospheric dispersion modeling system consisting of the Lagrangian particle dispersion model (LPDM) and the meteorological mesoscale model (MM5) was employed to simulate the transport and dispersion of non-reactive pollutant during the nuclear spill event occurred from Sep. 31 to Oct. 3, 1999 in Tokaimura city, Japan. For the comparative analysis of numerical experiment, two more sets of foreign mesoscale modeling system; NCEP (National Centers for Environmental Prediction) and DWD (Deutscher Wetter Dienst) were also applied to address the applicability of air pollution dispersion predictions. We noticed that the simulated results of horizontal wind direction and wind velocity from three meteorological modeling showed remarkably different spatial variations, mainly due to the different horizontal resolutions. How-ever, the dispersion process by LPDM was well characterized by meteorological wind fields, and the time-dependent dilution factors ($\chi$/Q) were found to be qualitatively simulated in accordance with each mesocale meteorogical wind field, suggesting that LPDM has the potential for the use of the real time control at optimization of the urban air pollution provided detailed meteorological wind fields. This paper mainly pertains to the mesoscale modeling approaches, but the results imply that the resolution of meteorological model and the implementation of the relevant scale of air quality model lead to better prediction capabilities in local or urban scale air pollution modeling.

• Journal of Environmental Science International
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• v.28 no.11
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• pp.1047-1059
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• 2019

To address the increase of weather hazards and the emergence of new types of such hazards, an optimization technique for three-dimensional (3D) representation of meteorological facts and atmospheric information was examined in this study as a novel method for weather analysis. The proposed system is termed as "meteorological and air quality information visualization engine" (MAIVE), and it can support several file formats and can implement high-resolution 3D terrain by employing a 30 m resolution digital elevation model. In this study, latest 3D representation techniques such as wind vector fields, contour maps, stream vector, stream line flow along the wind field and 3D volume rendering were applied. Implementation of the examples demonstrates that the results of numerical modeling are well reflected, and new representation techniques can facilitate the observation of meteorological factors and atmospheric information from different perspectives.

• The Plant Pathology Journal
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• v.17 no.6
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• pp.380.3-380
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• 2001

• Journal of the Korean Wood Science and Technology
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• v.47 no.6
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• pp.721-731
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• 2019

Air drying depends on species, density, dimension of wood, the geographical location of the air drying yard, and the meteorological factors of air drying site. If there are four seasons with large difference in temperature and humidity like in Korea, the research of the meteorological factors is required in air drying site. In this study, effective air drying days (EADD) of 24 regions in Korea were calculated by using the average monthly temperature, relative humidity, and wind speed. The EADD in 24 regions in Korea was ranged from 239 days to 291 days, with an average 265 days. This result is 5 days increased compared to the average of EADD calculated using the meteorological factors from 1955 to 1984. The results of multiple regression analysis on the EADD and meteorological factors showed that EADD affected in the order of temperature, relative humidity, and wind speed. As a result of dividing Korea into 4 zones of EADD, the zones of EADD were moved northward compared to previous study due to global warming. As basic data for predicting the moisture content (MC) distribution of Korean red pine logs during air drying conducted in Seoul, the average monthly temperature, relative humidity and wind speed for three years from 2016 to 2018 were presented, and the corresponding changes of the equilibrium MC were analyzed.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.245-253
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• 2024

Blue-green algal bloom, or harmful algal bloom has a negative impact on the aquatic ecosystem and purified water supply system due to oxygen depletion in the water body, odor, and secretion of toxic substances in the freshwater ecosystem. This Blue-green algal bloom is expected to increase in intensity and frequency due to the increase in algae's residence time in the water body after the construction of the Nakdong River weir, as well as the increase in surface temperature due to climate change. In this study, in order to respond to the expected increase in green algae phenomenon, an algal bloom forecast system based on hydro-meteorological factors was presented for preemptive response before issuing a algal bloom warning. Through polyserial correlation analysis, the preceding influence periods of temperature and discharge according to the algal bloom forecast level were derived. Using the decision tree classification, a machine learning technique, Classification models for the algal bloom forecast levels based on temperature and discharge of the preceding period were derived. And a algal bloom forecast system based on hydro-meteorological factors was derived based on the results of the decision tree classification models. The proposed algae forecast system based on hydro-meteorological factors can be used as basic research for preemptive response before blue-green algal blooms.

• Journal of Aquaculture
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• v.8 no.4
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• pp.285-294
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• 1995

In Bouin polder, one of the oyster culture zone on landbase in France, artificial substrate was suspended every week to study the variation of the biomass of benthic microalgae as the chlorophyll a. The meteorological and physico-chemical factors in sea water were studied by analysing the correlationship, correlation circle and principal component of these factors. Among the meteorological factors such as insolation, precipitation and wind, insolation was one of the most prominant factors associated with the increase of water temperature, salinity, pH and biomass but with the decrease of turbidity, dissolved oxygen and nitrate. Nitrate was the main contributor for the variation of biomass among the other nutrient components, while phosphate and silicate increased in summer when the biomass increased.

• Journal of Korean Society for Atmospheric Environment
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• v.8 no.4
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• pp.213-220
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• 1992

Simple correlation analysis, factor analysis, and multi-variate analysis have been performed to analyze the relationship between air pollution and meteorological factors for air pollution and meteorological data measured at Kwanghwamun in Seoul during the period of one year(January 1990 $\sim$ December 1990). As a result of simple correlation and factor analysis, $SO_2$, TSP and CO concentrations have shown high negative correlation with temperature and among these indicating that these are related with pollutant emission trend based upon heating fuel usage. Ozone has a good corrleation with solar radiation and relative humidity to have a closed relation with $O_3$ generation reaction mechanism. The result of multi-variate correlation analysis shows that the concentration of $SO_2$ and CO are adequate for correlation model with ambient temperature and wind speed and $O_3$ concentrations are adequate for that with solar radiation and wind speed. $SO_2$ and CO levels are considered to be affected first of all by heating fuel usage as a emssion source and wind speed as a dispersion effect. The $SO_2$ concentration in the condition that the temperature fall below zero is explained by multilicative model with wind speed, only one variable.