For 26 soil series distributed more than 1% among 63 soil series in Jeju Island, natural uncultivated soil samples were collected. For these soils, the chemical speciation of eight heavy metals (Cd, Cr, Cu, Mn, Ni, Pb, V, and Zn) was examined. Further, the Plant Bioavailability (PB) and Mobility Factor (MF) of these heavy metals were evaluated using Tessier’s 5-step sequential extraction method (exchangeable, carbonate, reducible (bound to Fe/Mn oxides), oxidizable (bound to organic matter), and residual fraction). The main form present was residual fraction for Cd and Zn; residual and oxidizable fractions for Cr, Cu, Ni, and Pb; reducible fraction for Mn; and carbonate fraction for V. The average plant availability and average mobility factor were found to be V (57.37%) > Zn (12.49%) > Cd (11.76%) > Cu (11.19%) > Pb (9.37%) > Cr (9.09%) > Mn (3.13%) > Ni (2.63%), and Mn (61.04%) > V (59.94%) > Zn (31.54%) > Cd (17.65%) > Cr (15.66%) > Ni (13.89%) > Pb (13.80%) > Cu (13.53%), respectively.

수자원 계획 및 운영을 위한 수요량을 추정하는데 있어, 실제 이용 추세를 반영한 생활용수나 공업용수와 달리 농업용수는 용수공급시설의 규모를 결정하기 위한 방법론이 주로 적용되어 왔다. 이는 불가피하게 농업용수의 과다추정으로 이어질 수 있으며, 전체 수자원 계획의 관점에서 각 용도별 용수 수급계획의 불 균형을 초래할 수 있다. 본 연구에서는 기존 방법론과 비교하여 순물소모량 개념의 접근방법의 차이에 대해 고찰하였으며, 이를 제주도 전역에 적용하여 농업 용수 수요량 특성을 분석하였다. 수요량 산정에 핵심적인 인자인 증발산량의 정확한 추정을 위하여 SWAT 모형을 적용하고, 제주도 지역의 지형 및 기상, 유 출, 물이용 특성을 반영한 유역 모델링을 수행하였으며, 기존 물수지 결과와 비교하여 모델링 자료의 신뢰성을 평가하였다. 과거기간(1992~2013년)에 대해 제주도 전체의 수요량은 연간 427 mm로 분석되었으며, 동부와 서부 해안지역을 중심으로 상대적으로 높은 수요량을 나타내었다. 유역면적 30 km2 이상인 10개 하천유역에 대해서도 연평균 수요량 및 계절별 변화 특성을 분석하였다. 또한, 장래 2020년 지역별 작물재배면적을 적용하여 10년 빈도 가뭄에 대응한 수요량을 산정한 결과 기존 제시된 수요량 대비 54% 수준으로 나타났다. 이는 수요량 산정목적에 따른 접근방법의 차이로 인해서 나타난 결과로서, 수자원 관 리 및 운영의 관점에서 보면 순물소모량만큼의 추가적인 수요가 예상되지만, 실제 공급의 관점에서는 기존 수요량만큼의 시설계획이 필요하다고 판단할 수 있다. 본 연구에서 적용된 방법론 및 결과의 실무 활용을 위해서는 공학적인 검증은 물론이고 정책적‧ 제도적인 측면에서의 합리적인 논의가 필요할 것이다.

Measurements of polychlorinated biphenyls (PCBs) were taken in surface sediments inside Seogwipo and Hallim Harbors of Jeju Island, Korea, to evaluate their distribution. These harbors typically have heavy ship traffic. The samples were collected three times (in June, October, and December, 2013). PCB concentrations in sediments from Seogwipo Harbor were higher than in those from Hallim Harbor, but both levels were very low, compared with those in other parts of the world. Sedimentary PCB levels had a strong correlation with organic carbon and fine granule mud content. PCB concentration values in the examined surface sediments were much lower than Sediment Quality Guidelines (SQGs) such as ER-L (Effect Rrange-Low), TEL (Threshold Effects Level) and ISQG (Interim Sediment Quality Guideline)-low value applied in countries, such as USA, Canada, and Australia. This suggests that the PCBs did not have significant biological effects on benthic organisms in the marine environment.

This study was carried out to elucidate the chemical compositions of water-soluble inorganic ions in PM10 and PM2.5 aerosols collected during summer and winter in downtown Jejusi city. The ratios of NO3 - to the total mass of ionic species in PM10 and PM2.5 aerosols largely increase in winter compared to summer, while SO4 2- ratios in both aerosols appear to follow the opposite trend. Moreover, concentrations of Na+, Mg2+, Ca2+ and Cl- in PM10 and PM2.5-10 aerosols are higher in winter than in summer. The nitrate concentrations in PM10 and PM2.5 aerosols increase with an identical increase in excess ammonium during winter, however, nitrate formation during summer is not important owing to ammonium-poor conditions.

클린하우스 정책이 제주지역에 도입된 이래 정책효과의 유효성 여부를 판단해야할 필요성이 점증 하여 왔다. 평가의 필요성에 대한 주요 이유는 정책허점의 면밀한 검토를 통해 보완점을 찾아봐야 한다는 것이다. 2004년도에 도입된 클린하우스의 주요 예상효과는 주변환경 청결성 제고, 행정비용 감소, 생활폐기물의 재활용률 제고였다. 도입된지 10여년이 지난 2015년 들어 제주지역에는 총 2,569개의 클린하우스가 설치·운영 되고 있다. 제주지역의 클린하우스정잭에 대한 성과를 평가 위해 우리는 두단계의 분석단계를 거쳤다. 먼저, 제주도민들을 대상으로 실시한 설문조사를 실시하였고 여기서 생성된 데이터를 바탕으로 다중로짓회귀분석을 실시하였다. 다음으로, 클린하우스 성과와 관련한 정량평가를 수행하였다. 제주지역 주민들을 대상으로 실시된 설문조사와 거기서 얻어진 데이터를 이용해서 얻어진 다중 로짓회귀분석 결과에 따르면 지역주민들의 클린하우스에 대한 만족도에 영향을 주는 주요 요인으로서 “클린하우스의 주변환경 청결 제고 기능”, “쓰레기 배출에 대한 성숙한 시민의식”, “불법투기에 대한 강력한 단속” 등인 것으로 분석되었다. 성과 분석에서는 클린하우스 도입이 재활용률과 지자체의 페기물 관리 행정의 재정 자립도를 제고시켰다는 결과를 얻을 수 있었다.

Solar radiation forecasts are important for predicting the amount of ice on road and the potential solar energy. In an attempt to improve solar radiation predictability in Jeju, we conducted machine learning with various data mining techniques such as tree models, conditional inference tree, random forest, support vector machines and logistic regression. To validate machine learning models, the results from the simulation was compared with the solar radiation data observed over Jeju observation site. According to the model assesment, it can be seen that the solar radiation prediction using random forest is the most effective method. The error rate proposed by random forest data mining is 17%.

Chemical properties of aerosols were investigated by analyzing the inorganic water-soluble content in PM2.5 collected in the downtown area of Jeju City in Jeju Island. Due to an increase in both the number of visiting tourists and the size of local population, the number of cars in this area is increasing, causing an increase in PM2.5. Eight PM2.5-bound major inorganic ions were analyzed during the summer and winter periods. The water-soluble inorganic component represents a significant fraction of PM2.5. In particular, secondary inorganic aerosols contribute 36.2% and 47.5% of PM2.5 mass in summer and winter, respectively. Nitrate concentrations increase for [NH4 +]/[SO4 2-]>1.5, and excess ammonium, which is necessary for ammonium nitrate formation, is linearly correlated with nitrate. These results are clearly observed during the winter because conditions are more conducive to the formation of ammonium nitrate. A significant negative correlation between Nitrogen Oxidation Ratio (NOR) and temperature was observed. The obtained results can be useful for a better understanding of the aerosol dynamics in the downtown area in Jeju City.

The classification of airflow patterns during high ozone (O3) and PM10 episodes on Jeju Island in recent years (2009-2015), as well as their correlation with meteorological conditions according to classified airflow patterns were investigated in this study. The airflow patterns for O3 and PM10 were classified into four types (Types A-D) and three types (Types E-G), respectively, using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model and synoptic weather charts. Type A was the most dominant airflow pattern for O3 episodes, being characterized by the transport of airflows from urban and industrial areas in China with the highest frequency (about 69%, with a mean of 67 ppb). With regard to the PM10 episodes, Type E was the most dominant airflow pattern, and was mostly associated with long distance transport from Asian dust source regions along northwesterly winds, having the highest frequency (about 92%, with a mean of 136 μg/m3). The variations in the concentration of O3 and PM10 during the study period were clarified in correlation with two pollutant and meteorological variables; for example, the high (low) O3 and PM10 concentrations with high (low) air temperature and/or wind speed and vice versa for precipitation. The contribution of long-range transport to the observed PM10 levels in urban sites for different airflow patterns (Types E-F), if estimated in comparison to the data from the Gosan background site, was found to account for approximately 87-93% (on average) of its input. The overall results of the present study suggest that the variations in O3 and PM10 concentrations on Jeju Island are mainly influenced by the transport effect, as well as the contribution of local emissions.

In this study, groundwater flow was analyzed targeting Dae-jeong watershed, which exhibited the largest variations of groundwater levels at the identical elevation points among the 16 watersheds of Jeju Island. The issues of the methods applied in practice were identified and improvement plans were suggested. This groundwater-flow estimates derived by applying hydraulic conductivity values onto zones of equal topographic ground level were found to be quite different from actual measured groundwater flow. Conversely, groundwater-flow estimates that utilized hydraulic conductivity values applied onto groundwater-level equipotential lines indicated relatively lesser divergences from actual measured groundwater flow. The reliabilities of the two approaches were assessed for 60 randomly selected points on DEM (digital elevation model) maps, The method using hydraulic conductivity values applied onto groundwater-level contours turned out to be the more reliable approach for the Dae-jeong watershed in Jeju Island.

The purpose of this study is to introduce the storytelling project for conservation and improvement of rural tourism. So, in this study, the current Jeju Batdam and storytelling planning are examined and the storytelling project presented in planning is also examined. And this study propose the storytelling implementation through the case study related in jeju. Its findings are as follws: 1) Storytelling exhibits principles of narrative structure(exposition, complication, climax and falling action) in various fact, and has shown tendency to structuralize a story. 2) It can be said that storytelling is deeply related with people’s associations of their inner mind. 3) In order to convey a story in a more convincing way, storytelling a naming strategy based on a rhetorical technique, which has been shown to positively influence creating unique Jeju Batdam area.

제주용암해수는 미네랄과 영양염류가 풍부한 물로 제주만이 보유한 지하수자원이다. 본 연구의 목적은 제주용암해수의 피부 보습효과를 확인하기 위한 것이다. 피부의 건조함을 막고 수분을 유지하기 위해서는 표피 층의 장벽기능이 정상적으로 기능하고, 표피층 내 수분의 유지와 이동이 원활히 이루어져야 한다. 제주용암해수 를 각질형성세포에 처리한 결과 표피층의 분화과정과 natural moisturizing factor (NMF) 생성과정에 관여하 는 유전자인 필라그린과 caspase-14 유전자의 발현양이 증가되는 것을 확인할 수 있었다. 또한 막관통 단백질 로 수분의 이동을 조절하는 aquaporin 3 (AQP3) 유전자 발현양과 단백질 발현양도 제주용암해수 처리에 의해 증가하였다. 인공피부를 이용한 실험에서 제주용암해수를 배지에 처리하고 배양한 결과 hyaluronic acid (HA) 의 수용체인 CD44의 발현양이 증가하였다. 본 연구를 통해 제주용암해수는 피부 보습과 관련된 인자들의 발현 양을 증가시켜 피부의 보습기능에 도움을 주는 것으로 사료되었다.

The aim of this study was to evaluate the occurrence of vanadium in Jeju Island groundwater, focusing on the spatio-temporal patterns and geochemical controlling factors of vanadium. For this, we collected two sets of groundwater data: 1) concentrations of major constituents of 2,595 groundwater samples between 2008 and 2014 and 2) 258 groundwater samples between December 2006 and June 2008. The concentrations of groundwater vanadium were in the range of 0.2 71.0 μg/L (average, 12.0 μg/L) and showed local enrichments without temporal/seasonal variation. This indicated that vanadium distribution was controlled by 1) the geochemical/mineralogical composition and dissolution processes of original materials (i.e., volcanic rock) and 2) the flow and chemical properties of groundwater. Vanadium concentration was significantly positively correlated with that of major ions (Cl-, Na+, and K+) and trace metals (As, Cr, and Al), and with pH, but was negatively correlated with NO3-N concentration. The high concentrations of vanadium (>15 μg/L) occurred in typically alkaline groundwater with high pH ( 8.0), indicating that a higher degree of water-rock interaction resulted in vanadium enrichment. Thus, higher concentrations of vanadium occurred in groundwater of Na-Ca-HCO3, Na-Mg-HCO3 and Na-HCO3 types and were remarkably lower in groundwater of Na-Ca-NO3(Cl) type that represented the influences from anthropogenic pollution.

To understand the characteristics of vanadium leaching from soils formed by the weathering of basalts, paleo soil at Gosan, Jeju Island, Korea, and several present-day soils from neighboring areas were collected. Leaching experiments were carried out by two approaches: 1) batch experiments under various geochemical conditions (redox potential (Eh) and pH) and 2) continuous leaching experiments under conditions similar to those of natural environments. From the batch experiments, leached vanadium concentrations were highest under alkaline (NaOH) conditions, with a maximum value of 2,870 μg/L, and were meaningful (maximum value, 114 μg/L) under oxidizing (H2O2) conditions, whereas concentrations under other conditions (acidic-HCl, neutral-NaHCO3, and reducing-Na2S2O3) were negligible. This indicated that the geochemical conditions, in which soil-water reactions occurred to form groundwater with high vanadium concentrations, were under alkaline-oxidizing conditions. From the continuous leaching experiments, the pH and leached vanadium concentrations of the solution were in the ranges of 5.45 5.58 and 6 9 μg/L, respectively, under CO2 supersaturation conditions for the first 15 days, whereas values under O2 aeration conditions after the next 15 days increased to 8.48 8.62 and 9.7 12.2 μg/L, respectively. Vanadium concentrations from the latter continuous leaching experiments were similar to the average concentration of groundwater in Jeju Island (11.2 μg/L). Furthermore leached vanadium concentrations in continuous leaching experiments were highly correlated with pH and Al, Cr, Fe, Mn and Zn concentrations. The results of this study showed that 1) alkaline-oxidizing conditions of water-rock (soil) interactions were essential to form vanadium-rich groundwater and 2) volcanic soils can be a potential source of vanadium in Jeju Island groundwater.

Jeju Island relies on subterranean water for over 98% of its water resources, and it is therefore necessary to continue to perform studies on drought due to climate changes. In this study, the representative standardized precipitation index (SPI) is classified by various criteria, and the spatial characteristics and applicability of drought in Jeju Island are evaluated from the results. As the result of calculating SPI of 4 weather stations (SPI 3, 6, 9, 12), SPI 12 was found to be relatively simple compared to SPI 6. Also, it was verified that the fluctuation of SPI was greater fot short-term data, and that long-term data was relatively more useful for judging extreme drought. Cluster analysis was performed using the K-means technique, with two variables extracted as the result of factor analysis, and the clustering was terminated with seven-time repeated calculations, and eventually two clusters were formed.

The 12 cultivars of the Jeju native Citrus are considered to have originated from China. However, the origin of the cultivar ‘Byungkyool’ (Citrus platymamma Hort. ex Tanaka) is not clearly known. We performed PCR analysis by using three primer sets designed from the internal transcribed spacer (ITS) region of nuclear ribosomal DNA (nrDNA) to analyze the phylogenetic relationship between the traditional citrus cultivars and the Byungkyool cultivar. Sequence length of the nrDNA ITS1 region of JNCPCRI (Jeju Native Citrus platymamma Citrus Research Institute) cultivar was 247 bp, 8the ITS2 region was 228 bp and the total ITS region (ITS1-5.8S-ITS2) was 638 bp. Analysis of the genetic relationship based on the sequence analysis at the ITS region of the JNCPCRI cultivar revealed that the ITS1 region of the cultivar was genetically the same as that of the Byungkyool (JQ990189) cultivar, and the ITS2 region was genetically similar to the Binkyool (JQ990180), Hongkyool (JQ990178), Dangyooja (JQ990179), and Pyunkyool (JQ990181) cultivars. Moreover, the total ITS region in the 5.8S rDNA region was genetically similar to the Hongkyool (JQ990178) cultivar. In addition, the total ITS region of the JNCPCRI cultivar was the most closely related to the Cheongkyool (JQ990183) cultivar and has been reported to originate from the Binkyool (JQ990180) and Pyunkyool (JQ990181) cultivars. Although the JNCPCRI cultivar was morphologically the same as the Byungkyool (JQ990189) cultivar, the ITS region showed genetic heterogeneity. Taken together, we conclude that the genetic variation in the ITS region of JNCPCRI cultivar suggests that it was propagated through fertilization with the surrounding citrus cultivars.

The purpose of this study is to introduce the village project for conservation and improvement of rural tourism village. So, in this study, the current rural tourism village and storytelling planning are examined and the village project presented in village planning is also examined. And this study propose the storytelling implementation of the village project through the case study related with the Susanri in Jeju. The results are summarized as follows. Firstly, it is important that each village projects are storytelling for tourism resource and improve rural tourism village. Secondly, it is necessary to define story range, action planning, and management agency of village projects. Thirdly, it is desirable that the village projects should be carried out as reviving the local community. Comparing to the storytelling tourism plan, there are few rural tourism plans so far, so, it is difficult to applicate the system of the village project, but, continuous studies in this line can help the rural tourism plan to ensure practicality.

The spatial and temporal variations of CO2 concentrations and radiative forcing (RF) due to CO2 were examined at urban center (Yeon-dong) during 2010-2015 and background sites (Gosan) during 2010-2014 on Jeju Island. The RF at the two sites was estimated based on a simplified expression for calculating RF for the study period. Overall, annual mean CO2 concentrations at the Yeon-dong and Gosan sites have gradually increased, and the concentrations were higher at Yeon-dong (401-422 ppm) than at Gosan (398-404 ppm). The maximum CO2 concentrations at the two sites were observed in winter or spring, followed by fall and summer, with higher concentrations at Yeon-dong. The RF at Yeon-dong (annual mean of up to 0.70 W/m2 in 2015) was higher than that at Gosan (up to 0.46 W/m2 in 2014), possibly because of higher CO2 concentrations at Yeon-dong resulting from population growth and human activities (e.g., fossil fuel combustion). The highest monthly mean RFs at Yeon-dong (approximately 0.92 W/m2) and Gosan (0.52 W/m2) were observed in spring 2015 (Yeon-dong) and spring 2013 (Gosan), whereas the lowest RFs (0.17 and 0.31 W/m2, respectively) in fall 2011 (Yeon-dong) and summer in 2012 (Gosan).

피부는 스모그, 담배연기 및 UV와 같은 외부환경으로부터 신체를 보호하는 가장 큰 기관이며, 보호 기작 으로서 각질세포와 그 사이를 메우고 있는 세라마이드, 콜레스테롤, 지방산 등의 세포간지질이 라멜라 액정 구조 로 피부 장벽을 이루고 있다. 본 연구에서는 세포간지질 중 세라마이드 생합성과 관련되어 있는 세린-팔미토일 전이효소(serine-palmitoyltransferase, SPT) 발현을 western blot으로 확인한 결과, 제주산양산삼 추출물이 농도의존적으로 SPT 단백질 발현을 증가시킴을 확인하였다. 또한 제주산양산삼 추출물을 5% 함유한 제형을 2주간 피부에 도포 후 TEWL을 측정하였을 때, 제주산양산삼 추출물을 함유한 에멀젼 도포부위의 TEWL이 대 조군에 비해 유의적으로 감소하는 것을 확인하였다. 이 연구결과는 제주산양산삼 추출물이 SPT의 발현 증가를 통해 세포간 지질의 핵심성분인 세라마이드의 생합성을 증가시켰음을 보여준다. 따라서 제주산양산삼 추출물은 피부장벽기능을 개선시켜 TEWL 감소 효과를 나타내며, 이를 통해 화장품 분야에서 피부장벽 강화 및 보습소재 로서 사용될 수 있다고 사료된다.

Fog may have a significant impact on road conditions. In an attempt to improve fog predictability in Jeju, we conducted machine learning with various data mining techniques such as tree models, conditional inference tree, random forest, multinomial logistic regression, neural network and support vector machine. To validate machine learning models, the results from the simulation was compared with the fog data observed over Jeju(184 ASOS site) and Gosan(185 ASOS site). Predictive rates proposed by six data mining methods are all above 92% at two regions. Additionally, we validated the performance of machine learning models with WRF (weather research and forecasting) model meteorological outputs. We found that it is still not good enough for operational fog forecast. According to the model assesment by metrics from confusion matrix, it can be seen that the fog prediction using neural network is the most effective method.

To understand the traditional knowledge of botanical taxa in Jeju Island, a diachronic study was carried out by comparing the archaic and modern names of the native plants in Jeju Island. To identify the archaic names of the plants, five old documents (Sejongshillokchiriji, Shinjŭngdonggukyŏjisŭngnam, T'amnaji, Namhwanbangmul and Jejugyerok) that were written during the Joseon Dynasty between the 15 th and 19 th centuries were closely examined. A total of 131 taxa (65 families, 112 genera, 118 species and 13 varieties), 7.3% of the native plants known to be currently present in Jeju Island, was identified. Out of these, 21.4% was the plants found in the southern area. Among the five old documents analyzed for this study, Namhwanbangmul recorded the largest number of plants, 89 taxa. We closely examined the consistency between the modern and archaic names of each plant, and discussed the problems in matching the names of some plants analyzed in this study.