• 한국환경과학회지
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• 제5권3호
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• pp.253-263
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• 1996

This study is an attempt to classify climatic regions of Korea based on the data of sunshine duration and to clarify the characteristics of sunshine for each divided regions. The data used in this study are the mean values of monthly and ten-daily sunshine duration, sunshine percentage, solar radiation and proud amount obtained from 63 weather stations of the Korea Meteorological Administration during the period of 1974~ 1993. The characteristics of annual change of sunshine percentage, annual duration of sunshine, percentage of sunshine, annual radiation, amount of cloud, days of sunshine percentage above 80% and-days of sunless are investigated by the mean values of -the stations belong to divided regions. The ward method of hierarchical cluster analysis is adopted to the analysis of data for the regional division. The results obtained in this study are summarized as follows. (1) The sunshine regions of Korea can be divided into six regions of the central west, central east, south west, souls east, Ullung-do and Cheju-do. These are strongly affected by the dirtribution of inclined slopes taking account of the topographic characteristics of Korea. (2) Annual distribution shows the sunshine duration of 1777~ 2287 hours, sunshine percentage of 40~53%, solar radiation of 3469~4637 MJ/$m^2$, cloud amount of 5.0~6.1, days of sunshine perrentage above 80% of 53~116days and sunless days of 46~71days. (3) The types of annual change of sunshine percentages is classified with four types of minimum in July and maximum in October, minimum in July and maximum in December, high in May and October and low in July and January, high in May and November and low in June and January. (4) The long-term trend of sunshine duration decrease in peninsula area but increase in island area and the Tong-term inclination of cloud amount is almost zero. The author believe this tendency is related to a pollutional turbidity than a cloud amount in inland area.

• 한국환경과학회지
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• 제20권10호
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• pp.1297-1308
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• 2011

This study is to analyze the characteristics of golf course water usage using groundwater and rainwater data obtained from 17 golf courses in Jeju Island during 2007~2009. The groundwater usages were 246,275 $m^3/year$, 213,062 $m^3/year$, 155,235 $m^3/year$, and 126,666 $m^3/year$ in the west, south, east, and north regions, respectively. Monthly rate of the amount of groundwater usage to the amount of permission was 29.5%. The rainfall usages were 386,591 $m^3/year$, 326,464 $m^3/year$, 251,248 $m^3/year$, and 232,061 $m^3/year$ in the south, west, east, and north regions, respectively. Monthly rate of rainwater usage to the amount of water retention of golf courses was 19.6%. The average annual water usage in the 17 golf courses was 499,377 $m^3/year$. From the average usage, it was found that the rainwater usage (305,126 $m^3/year$ ) was 1.6 times higher than that of groundwater (194,251 $m^3/year$ ). That means the annual average rainwater usage to the entire water usage was 61.1%, which was above the criteria of 40%.

• 대기
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• 제31권1호
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• pp.29-43
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• 2021

In this study, two-step statistical approach including Principal Component Analysis (PCA) and Multiple Linear Regression (MLR) was employed, and main meteorological factors explaining the high-PM2.5 episodes were identified in two regions: Seoul and Busan. We first performed PCA to isolate the Principal Component (PC) that is linear combination of the meteorological variables observed at two levels: surface and 850 hPa level. The employed variables at surface are: temperature (T2m), wind speed, sea level pressure, south-north and west-east wind component and those at 850 hPa upper level variables are: south-north (v850) and west-east (u850) wind component and vertical stability. Secondly we carried out MLR analysis and verified the relationships between PM2.5 daily mean concentration and meteorological PCs. Our two-step statistical approach revealed that in Seoul, dominant factors for influencing the high PM2.5 days are mainly composed of upper wind characteristics in winter including positive u850 and negative v850, indicating that continental (or Siberian) anticyclone had a strong influence. In Busan, however, the dominant factors in explanaining in high PM2.5 concentrations were associated with high T2m and negative u850 in summer. This is suggesting that marine anticyclone had a considerable effect on Busan's high PM2.5 with high temperature which is relevant to the vigorous photochemical secondary generation. Our results of both differences and similarities between two regions derived from only statistical approaches imply the high-PM2.5 episodes in Korea show their own unique characteristics and seasonality which are mostly explainable by two layer (surface and upper) mesoscale meteorological variables.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.314-314
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• 2023

Extreme climate events can have a large impact on human life by hampering social, environmental, and economic development. Global circulation models (GCMs) are the widely used numerical models to understand the anticipated future climate change. However, different GCMs can project different future climates due to structural differences, varying initial boundary conditions and assumptions about the physical phenomena. The multi-model ensemble (MME) approach can improve the uncertainties associated with the different GCM outcomes. In this study, a comprehensive rating metric was used to select the best-performing GCMs out of 11 CMIP5 and 13 CMIP6 GCMs, according to their skills in terms of four temporal and five spatial performance indices, in replicating the 21 extreme climate indices during the baseline (1975-2017) in South Korea. The MME data were derived by averaging the simulations from all selected GCMs and three top-ranked GCMs. The random forest (RF) algorithm was also used to derive the MME data from the three top-ranked GCMs. The RF-derived MME data of the three top-ranked GCMs showed the highest performance in simulating the baseline extreme climate which was subsequently used to project the future extreme climate indices under both the representative concentration pathway (RCP) and the socioeconomic concentration pathway scenarios (SSP). The extreme cold and warming indices had declining and increasing trends, respectively, and most extreme precipitation indices had increasing trends over the period 2031-2100. Compared to all scenarios, RCP8.5 showed drastic changes in future extreme climate indices. The coasts in the east, south and west had stronger warming than the rest of the country, while mountain areas in the north experienced more extreme cold. While extreme cold climatology gradually declined from north to south, extreme warming climatology continuously grew from coastal to inland and northern mountainous regions. The results showed that the socially, environmentally and agriculturally important regions of South Korea were at increased risk of facing the detrimental impacts of extreme climatology.

• The Plant Pathology Journal
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• 제39권4호
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• pp.335-350
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• 2023

Physoderma fungal species cause faba bean gall (FBG) which devastates faba bean (Vicia faba L.) in the Ethiopian highlands. In three regions (Amahara, Oromia, and Tigray), the relative importance, distribution, intensity, and association with factors affecting FBG damage were assessed for the 2019 (283 fields) and 2020 (716 fields) main cropping seasons. A logistic regression model was used to associate biophysical factors with FBG incidence and severity. Amhara region has the highest prevalence of FBG (95.7%), followed by Tigray (83.3%), and the Oromia region (54%). Maximum FBG incidence (78.1%) and severity (32.8%) were recorded from Amhara and Tigray areas, respectively. The chocolate spot was most prevalent in West Shewa, Finfinne Special Zone, and North Shewa of the Oromia region. Ascochyta blight was found prevalent in North Shewa, West Shewa, Southwest Shewa of Oromia, and the South Gondar of Amhara. Faba bean rust was detected in all zones except for the South Gonder and North Shewa, and root rot disease was detected in all zones except South Gonder, South Wollo, and North Shewa of Amahara. Crop growth stage, cropping system, altitude, weed density, and fungicide, were all found to affect the incidence and severity of the FBG. Podding and maturity stage, mono-cropping, altitude (>2,400), high weed density, and non-fungicide were found associated with increased disease intensities. However, crop rotation, low weed infestation, and fungicide usage were identified as potential management options to reduce FBG disease.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.954-957
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• 2006

Satellite data (thermal and color imagery) show that offshore flowing filaments off the west coasts of North America, North and South Africa can influence significantly the cross-frontal mixing in the coastal upwelling zones. To evaluate this role, we investigated structure, dynamics and behavior of surface filaments in the Canary and Benguela upwelling regions on the base of daily satellite IR and VIS imagery (AVHRR NOAA, MODIS-Aqua). It was found that seasonal variability of the filaments location depends on intra-annual shift of general upwelling intensity along the coast. The main statistical characteristics of filaments - length, width, temperature anomaly and estimates of velocity were obtained. Estimates of cross-frontal water exchange due to filamentation based on the statistical data show that these coherent structures play a major role in the water and particle exchange between coastal zone and the open ocean in both upwelling regions.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.156-163
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• 2005

This study was attempted to provide some fundamental data for safety structrural design of biological production facility. Wind load and snow load, acting on agricultural structures is working more sensitive than any other load. Therefore, wind speed and snow depth according to return periods for design load estimation were calculated by frequency analysis using the weather data(maximum instantaneous wind speed, maximum wind speed, maximum depth of snow cover and fall) of 68 regions in Korea. Equations for estimating maximum instantaneous wind speed with maximum wind speed were developed for all, inland and seaside regions. The results were about the same as the current eqution in general. Design wind speed and snow depth according to return periods were calculated and Local design wind load and snow load depending on return periods were presented together with iso-wind speed and iso-snow depth maps. The calculated design snow depth by maximum depth of snow cover were higher than design snow depth by maximum depth of snow fall. Considering wind speed and snow depth, protected cultivation is very difficult in Ullungdo, Gangwon seaside and contiguity inland regions, and strong structural design is needed in the west-south seaside against wind speed, and structure design of biological production facility in these regions need special consideration.

• 한국지역지리학회지
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• 제12권4호
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• pp.461-474
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• 2006

우리나라의 여름과 겨울철의 이상기온 출현 분포 특성을 분석한 후 여름과 겨울철의 월별 이상기온 출현 빈도에 의하여 한반도 이상기온 지역을 5개로 구분하였다. 여름철 이상고온의 출현 빈도가 다른 이상기온 지역보다 2배 이상 높은 제 I지역(중부 동안), 겨울철 이상고온 출현은 낮고 이상저온 출현은 높은 제 II지역(경기 서안과 중부 내륙 북부), 다른 지역과 달리 여름과 겨울철 이상기온의 출현이 특정 계절에 집중되지 않는 제 III지역(중 남부의 서부), 여름철 이상고온의 출현 빈도가 가장 낮고 겨울철 이상고온의 출현도 비교적 적은 제 IV지역(산지와 남부 및 남해안 동부), 겨울철 이상고온 빈도가 가장 높은 제 V지역(소백산맥/노령산맥 이남과 남해안 서부 및 제주도)이다.

• 지구물리
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• 제7권1호
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• pp.1-10
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• 2004

Gravity, magnetic and high-resolution seismic surveys were carried out in the Powell Basin to examine tectonic structure and recent sedimentation on Dec. 2002. The trend of negative gravity anomalies along the spreading axis of the Powell Basin changes from northwest to east-west toward south. Both boundaries of the basin with the Antarctic Peninsula and the South Orkey micro-continent show negative magnetic anomalies, which indicates that the boundaries were continental rift areas in the initial stage of spreading. Magnitude of the magnetic anomalies corresponding to the axis of the basin is rather small compared to those of normal spreading axises in other regions. Such small anomalies would be caused by reduction of magnetic strength of oceanic crust below thick sediments due to thermal alternation. High-resolution (3.5 kHz) seismic profiles reveal that top of the South Scotia Ridge is a flat terrain coverd with thin coarse sediments by glacial erosion. Thick oceanic sediments are deposited in the central part of the basin. Little deformation in the oceanic sediments indicates that the Powell Basin has been in stable tectonic environment after spreading of the basin stopped.

• 대한지리학회지
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• 제38권5호
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• pp.659-666
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• 2003

본 연구는 한국에 있어서 춘계 강수 분포의 변동성과 소우년과 다우년의 500hPa면의 대기 순환 특성을 비교 분석한 연구이다. 한국의 춘계 강수량 변동률의 분포는 월별로 상이하다. 3월은 한국의 서안 지역은 높고 남동안은 낮아서 서고 동저, 4월은 북고 남저, 5월은 동고 서저 경향을 나타낸다. 500hPa면의 고도편차 분포에서 3월의 소우년은 한반도 주변과 북태평양 서안에 음의 편차역을 형성하고 시베리아를 중심한 동아시아 내륙이 양의 편차를 나타내어 서고 동저형을 이루고 있다. 따라서 한반도와 그 주변은 대상풍의 동서성분 풍속은 양의 편차역에 속하여 동서류가 강할 때 소우현상이 나타난다. 다우년은 소우년과는 대조적으로 한반도는 알류샨열도 주변 및 북태평양 서안에 중심을 둔 양의 편차역에 속하고, 티베트고원 및 시베리아를 중심한 동아시아 내륙지역은 음의 편차역에 속하여 동고 서저형을 나타내며, 이 때 동서류는 약하다. 4ㆍ5월의 소우년은 북태평양의 중앙부에서 동아시아 동안에 연결된 대상의 음의 편차역에 속하며 양의 편차역은 알류샨열도에서 티베트고원에 이르는 동아시아 중부에 분포하여 북고 남저 유형을 나타내고 다우년은 소우년과 반대로 남고북저 유형을 나타내고 있다. 한반도에서의 춘계 소우년과 다우년의 출현시 대기 순환이 대조적일 뿐만 아니라 조춘과 만춘의 대기순환이 상이함을 확인하였다.