Background : Recent climate change has also affected the biological season for plants. There are various studies on this, but most of them are studying horticultural crops. The purpose of this study was to investigate the timing of flowering in different regions and to predict the flowering time of Schisandra chinensis (Turcz.) Baillon. using meteorological data. Methods and Results : The flowering time and cultivation area of Schisandra chinensis were searched and surveyed by the Internet data and Annual research report of the RDA. Accumulated temperature and Growing degree day at 0℃, 5℃, 10℃ or more and Cumulative hours of sunshine at 0℃ or more to the cultivation area and flowering period of irradiated Schisandra chinensis were calculated from meteorological data of KMA (Korea. Meteorological Administration) and calculated using Excel, respectively. statistical analysis was performed using Excel. The data collected were 15 research reports and 20 internet surveys, but it was difficult to use statistical significance due to the high coefficient of variation. The 5-year Suwon data and the 3-year data of Jinan were used in the study report data relatively close to the meteorological stations. Conclusion : Results of statistical analysis. The flowering time of Schisandra chinensis is the time when Accumulated temperature of 0℃ or more [Σ (daily average temperature > 0℃)] becomes 650℃ and the Growing degree day of 0℃ or more { Σ [ (day maximum temperature + day minimum temperature) / 2 > 0℃ ] } was 670℃. The coefficient of variation was 6.5% and 6.2%, respectively.

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.

본 연구는 청미천 유역을 대상으로 1985년부터 2015년까지의 가뭄지수를 이용하여 첨두 가뭄심도와 가뭄기간을 분석하였다. 이을 위해 기상 학적 가뭄지수로는 강수량만을 변수로 하는 SPI (Standardized Precipitation Index)와 강수량과 증발산량을 함께 고려하는 SPEI (Standardized Precipitation Evapotranspiration Index)를 적용하였으며, 수문학적 가뭄지수는 유역의 유출량을 변수로 하는 SDI (Streamflow drought index)를 적용하였다. SDI의 경우 청미천 유역을 구축한 SWAT 모형을 이용하여 도출한 유출량을 사용하였다. 그 결과 첨두 가뭄심도의 발생시기 는 SPI, SPEI의 발생 후에 SDI가 발생하는 양상을 보였으며 평균적으로 SDI와 SPI는 0.59개월, SPEI는 0.72개월의 차이를 보인다. 최대 발생지체 시간은 SPI, SPEI 모두 2개월을 보인다. 또한 기상학적 가뭄이 해결될 수 있는 강우량임에도 수문학적 가뭄을 해결하지 못하는 경우가 발생함을 확 인하였다.

As a result of broadcasters' websites, there were more reports during the typhoon Bolaven/Tembin in 2012 than in 2002 and 2003. Checking related press releases of each broadcaster on NAVER, YTN reports are 3 times more than KBS. Considering great technology progress in the Internet and smart phone user environment compared to the past, it is thought to be rather regretful in that KBS has been the supervising broadcaster over Korean disaster. As a result of daily reports, the year 2002 typhoon Rusa was reported from the date of its arrival on Korean Peninsular to 3 days, but the information required to be provided for disaster prevention before its arrival was too scarce. 2003 typhoon Maemi was reported as many times as the 2002 typhoon, but its information was provided before its arrival. This is meaningful because the information provision was intended for disaster prevention unlike the past. In 2012, the number of weather forecast broadcast on the typhoon Bolaven/Tembin increased greatly compared to 2002 and 2003. This was also determined to be due to abundant information provided by broadcasters and the Internet portal sites as a result of great progress in Korea internet industry.

최근 국지성 집중호우 및 돌발홍수와 같은 급격한 기상변화로 인한 기상재해의 발생빈도가 증가함에 따라 고해상도의 기상레이더 강우자료를 사 용한 수공학 분야의 연구가 활발하게 진행되고 있다. 기상레이더는 넓은 지역에 걸쳐 실시간으로 강우현상 감시가 가능하며 지상우량계로는 파악 이 불가능한 미계측유역을 통과하는 강우장의 이동 및 변동성 파악이 가능한 장점이 있지만 대기 중 존재하는 수상체로부터 반사되는 반사도를 사 용하여 강우량을 산정하므로 시공간적 오차가 존재한다. 본 연구에서는 이러한 문제점을 해결하기 위하여 다변량 Copula 함수를 활용하여 레이더 강우에 존재하는 시공간적 오차를 규명하고 레이더 강우앙상블 생산기법을 개발하였다. 개발된 모형으로부터 생산된 레이더 강우앙상블은 통계적 효율기준 분석결과 우수한 모형성능을 확인하였으며 추가적으로 극치호우 및 강우시계열 패턴 분석결과 지상강우의 특성을 효과적으로 재현하는 것을 확인하였다.

최근 기후변화로 인하여 발생하는 기상재해 및 위험기상 현상의 대비를 위하여 조밀한 시공간적 해상도를 갖는 레이더 강우가 활용되고 있지만 널리 사용되는 Marshall-Palmer의 Z-R 관계식으로 추정된 레이더 강우는 과소추정의 문제점이 있다. 본 연구는 이러한 문제점을 해결하기 위하여 분위회귀 분석기법을 통한 레이더 강우자료 편의보정 기법과 Copula 함수를 연계한 강우자료 확충기법을 개발하였다. 본 연구에서 개발된 모형을 통하여 편의가 보정된 시계열 레이더 강우자료 효율을 통계적으로 분석한 결과 우수한 모형성능을 확인하였으며 Copula 기법을 이용하여 지상강 우 및 레이더 강우자료를 확충한 결과 기존의 강우특성을 현실적으로 재현하는 것을 확인하였다. Copula 기법을 통한 강우자료 확충기법은 레이 더 강우의 오차분포를 평가하는데 유용하게 활용될 것으로 판단된다.

세계적으로 환경문제를 해결하기 위한 하나의 방법으로 화학제품, 천연원료의 사용을 새롭게 대체하는 연구가 활발하게 진행되어지고 있으며, 이중에서 특히 석유에서 파생된 제품의 사용량을 친환경적인 제품으로의 대체 및 사용량 저감을 위해 바이오 계 그린 제품의 개발이 활발하게 진행되어지고 있다. 석유계 합성 물질인 고분자 재료는 생활과 산업에서 주로 사용되어 이로 인해 발생되는 환경문제 발생되고 있다. 이에 석유계 고분자재료의 사용량을 줄이고 일부분을 대체하여 석유계 고분자 폐기물 발생으로 인한 환경오염을 개선하기 위한 하나의 방법으로 바이오매스인 천연섬유를 적용한 바이오 복합체 연구에 주목하였다. 바이오계 천연섬유강화(FRP) 복합체는 경량, 저비용, 적당한 강도와 경도를 얻는 장점이 있으나, 천연섬유의 표면이 친수성을 가지고 있어 소수성을 가진 폴리머 재료와의 낮은 호환성으로 인하여 제작된 복합체의 물리적, 화학적 특성을 저하되는 큰 문제를 가지고 있다. 또한, 비용/편익과 원료가 되는 바이오매스의 공급이 매년 일정해야 한다는 큰 문제점을 가지고 있다. 현재 전반적인 산업에 적용되고 있는 천연재료는 대부분 목질계 자원이 복합체의 재료로서 사용되어지고 있지만 안정적인 공급이 어렵고 그에 따른 생산성의 결실이 낮거나 비용이 증가되는 문제점을 가지고 있다. 안정적인 공급 및 낮은 가격을 가진 천연섬유를 이용한 섬유강화 재료를 적용한 바이오복합체 연구가 활발하게 진행되고 있지만, 단일 폴리머보다 낮은 물리적, 화학적 특성으로 인해 충진제 재료로 사용되는 천연섬유의 표면 개선을 개선하는 전처리 공정에 대한 여러 가지 연구가 필요하다. 본 연구는 낮은 가격 및 안정적으로 공급이 가능한 바이오매스 중에서 전 세계적으로 가장 많이 확보 가능한 천연농업 폐기물인 밀짚을 적용하였고, 폴리머와의 결합력을 높이기 위한 표면개선 방법으로 Vapor-phaseassisted Surface Polymerization(VASP: 기상중합법)을 적용하였으며, VASP 처리된 천연섬유의 개선된 특성을 조사하였다. MMA(Methyl Methacrylate) 모노머를 천연섬유의 표면 개선용 재료로 적용하여 VASP 처리한 결과 섬유 각각에 PMMA(Poly Methyl Methacrylate)로 코팅되어 섬유의 표면이 친수성에서 소수성으로 변경되었으며, 열안정성 또한 증가되어 바이오복합체에 충진제로 적용시 물리적, 화학적 특성이 증가될 것으로 예상된다.

Background : Ginseng rain cover farming is expanding around Jinan county and Jangsu country of North Jeolla Province. Some farmers doing ginseng rain cover farming have suffered from difficulties due to hot weather damages. However, it is a situation that the study on mitigation techniques for high temperature damage do not exist with ginseng rain cover farming. Methods and Results : The test covering work was firstly done on April 28th for heat block film+90% black light blocking net, blue double sided film, and PE film+75% black light blocking net and when it comes to second treatment, 30% and 40% shading were implemented for heat block film group and blue double sided film group respectively and 75% black light blocking net was installed on PE film+75% shading group. When it comes to micro-climate measurement in rain cover facility, temperature, humidity and light intensity were measured during the growing period of ginseng. The results are as follows. Regarding the light transmittance (per PAR, 10 am in clear day) in facility with 1st covering, light block film covered group (LBF), blue double sided film group (BDF) and PE film group have 12.9±1.8%, has 11.6±1.0% and 27.1±1.1% respectively and after 2nd covering, in LBF groups, 30% blocking, 40% blcoking and no blocking have 10.6±1.3%, 8.2±0.9% and 12.9±1.8% and in BDF groups, 30% blocking, 40% blcoking and no blocking have 9.4±0.8%, 7.9±0.7% and 11.6±1.0 respectively and PE film group has 10.6±0.7%. Relative humidity also showed the same trend as temperature. The average monthly amount of light and maximum light intensity were lower in 30% and 40% light blocking groups of LBF and BDF and a little higher in no light blocking group compared to PE film group. The degree of high temperature damage was 1 in no LBF of BDF, but no LBF of LBF was so bad like 3. However, there was no high temperature damage in the test groups of blocking films or BDF with 30% and 40% light blocked light screens. Regarding root weight, all secondly treated groups of LBF group and BDF group were lighter compared to 4.36g of PE film group and especially, prism sheetof no light blocking group has 2.5g and BDF of of no light blocking group has 3.21g. 30 % and 40% light blocking groups of LBF group and BDF group were light with 3.20~4.07g. Conclusion : Regarding the analysis result on micro-climate in facility with different cover materials for 2 years old ginseng in ginseng rain cover farming of Gyeonggi Province, the covering method suitable for high temperature damage mitigation in ginseng rain cover farming was that 1st covering was done by PE film+75% black light blocking net and then 75% black light blocking net is additionally covered at a time when outside temperatures reaches 30℃.

Meteo-tsunamis are tsunamis that are typically caused by strong atmospheric instability (e.g., pressure jumps) in low pressure systems, but some meteo-tsunamis in winter can be caused by local atmospheric instability in high pressure systems (e.g., the Siberian High). In this study, we investigated a meteo-tsunami event related to a high pressure system that occurred during winter on the Yellow Sea in 2005. Sea level data from tidal stations were analyed with a high-pass filter, and we also performed synoptic weather analyses by using various synoptic weather data (e.g., surface weather charts) collected during the winter season(DJF) of 2005. A numerical weather model (WRF) was used to analyze the atmospheric instability on the day of the selected event (21 Dec. 2005). On the basis of the results, we suggest that the meteo-tsunami triggered by the high pressure system occurred because of dynamic atmospheric instability induced by the expansion and contraction of the Siberian High.

The effect of weather on disease was investigated based on results reported in academic papers. Weather-sensitive disease was selected by analyzing the frequency distributions of diseases and correlations between diseases and meteorological factors (e.g., temperature, humidity, pressure, and wind speed). Correlations between disease and meteorological factors were most frequently reported for myocardial infarction (MI) (28%) followed by chronic ischemic heart disease (CHR) (12%), stroke (STR) (10%), and angina pectoris (ANG) (5%). These four diseases had significant correlations with temperature (meaningful correlation for MI and negative correlations for CHR, STR, and ANG). Selecting MI, as a representative weather-sensitive disease, and summarizing the quantitative correlations with meteorological factors revealed that, daily hospital admissions for MI increased approximately 1.7%-2.2% with each 1℃ decrease in physiologically equivalent temperature. On the days when MI occurred in three or more patients larger daily temperature ranges (2.3℃ increase) were reported compared with the days when MI occurred in fewer than three patients. In addition, variations in pressure (10 mbar, 1016 mbar standard) and relative humidity (10%) contributed to an 11%-12% increase in deaths from MI and an approximately 10% increase in the incidence of MI, respectively.

본 연구는 1985년부터 2015년까지 지속기간에 따른 청미천 유역의 가뭄을 분석하였다.가뭄의 정량적 평가를 위해 기상학적 가뭄지수와 수문학적 가뭄지수를 사용하였다. 기상학적 가뭄지수로는 강수량을 변수로 하는 SPI(Standarized Precipitation Index)와 강수량과 증발산량을 변수로 하는 SPEI(Standarized Precipitation Evapotranspiration Index)를 사용하였다. SWAT 모형의 모의를 통해 도출된 결과를 바탕으로 농업학적 가뭄지수 인 PDSI(Palmer Drought Severity Index)와 수문학적 가뭄지수인 SDI(Streamflow Drought Index)를 적용하였다. 산정 결과, 극한 및 평균 가뭄의 평균에서 2015년과 2014년이 가장 가뭄에 취약함이 확인되었다. 빈도분석에 따른 가뭄의 변동성은 서로 다른 형태를 보였다. 또한 상관분석에서 극 한 가뭄 및 평균 가뭄은 PDSI를 제외한 SPI, SPEI, SDI 가뭄지수간에는 높은 상관관계가 확인되었다.􀀁하지만 각 가뭄지수는 서로 다른 극한가뭄의 시기 및 강도를 보였다. 따라서 가뭄분석시 다양한 특성을 지닌 가뭄지수를 활용하는 것이 필요하다.

Relocation of weather station leads to changes in geographical climate factors such as latitude, longitude, elevation, topographical relief and land cover of surrounding area that inf luence on local climate. This study analyzes spatio-temporal characteristics and relationships between geographical factors such as location, topographical relief and land cover, and changes in climate data such as temperature, precipitation and wind due to relocation of 12 weather stations in South Korea. Changes in temperature and moisture are attributed to changes in land cover by the relocation. Wonju and Gumi where the stations were relocated from rural to new built-up area show increases in temperature, while temperature in Sokcho, Changwon, Cheonan, Daejeon, Gunsan and Mokpo decreased with the relocations from urban to rural area. Relative humidity in Mokpo, Gunsan and Daejeon increases due to increase in farming land. Changes in topographical relief influence on precipitation, wind and duration of sunshine. The relocation in Chungju to interior of basin led to decreases in precipitation and duration of sunshine, and Boryeong shows decrease in precipitation by the relocation from windward slope to hilly coastal area. Wind speed in Gunsan with the relocation from coastal to inland area decreased due to influence of neighboring hills. Shadow effect by neighboring building or vegetation can be attributed to changes in duration of sunshine in Gwangju and Wonju.

Sensitivity analysis of the WRF model according to the impact of nudging (e.g., nudging techniques and application domains) was conducted during high nocturnal ozone episode to improve the prediction of the regional ozone concentration in the southeastern coastal area of the Korean peninsula. The analysis was performed by six simulation experiments: (1) without nudging (e.g., CNTL case), (2) with observation nudging (ONE case) to all domains (domain 1∼4), (3) with grid nudging (GNE case) to all domains, (4)∼(6) with grid nudging to domain 1, domain 1∼2 and domain 1∼3, respectively (GNE-1, GNE-2, GNE-3 case). The results for nudging techniques showed that the GNE case was in very good agreement with those observed during all analysis periods (e.g., daytime, nighttime, and total), as compared to the ONE case. In particular, the large effect of grid nudging on the near-surface meteorological factors (temperature, relative humidity, and wind fields) was predicted at the coastline and nearby sea during daytime. The results for application domains showed that the effects of nudging were distinguished between the meteorological factors and between the time periods. When applied grid nudging until subdomain, the improvement effects of temperature and relative humidity had differential tendencies. Temperature was increased for all time, but relative humidity was increased in daytime and was decreased in nighttime. Thus, GNE case showed better result than other cases.

Background : Ginseng is a semi-shade plant which prefers cool temperature and mild lighting, and artificially installed shading facility is required from preventing photo-oxidation occurrence when ginseng is exposed to direct sunlight. High temperature damages are commonly noticed due to recent global warming although more farmers are using aluminum foil and blue light-proof screen instead of 4-layered polyethylene shade net (blue 3 + black 1) to prevent the rise in temperature and influx of rainwater, there are insufficient research conducted. Methods and Results : In mid-March, 2015, we have installed steel A type shading facility after transplanting 2-year-old domestic variety ginseng in 7 lines, 10 rows per 3.3㎡. We have prevented the excessive influx of direct light by fixing 4-layered shade net, aluminum foil and blue light-proof screen as shading materials on facilities and adding 2-layered black polyethylene shade net. During July and August with high temperature, light transmission rates have shown varying according to shading materials used: blue light-proof screen (8.4%) > aluminum foil (5.9%) > 4-layered shade net (3.3%). In case of the highest temperature reached, the order followed blue light-proof screen (42.3℃) > 4-layered shade net (40.8℃) > aluminum foil (38.3℃), and in case of average temperature it followed blue light-proof screen (48.7%) > 4-layered shade net (37.6%) > aluminum foil (33.2%). Although there were no difference about leaf area among the shading materials, ginseng leaf grown in aluminum foil has lower chlorophyll content than the other two treatment plot because of photooxidation by light damage. The 3-yr-old ginseng root weight harvested in end of October increased as follows light-proof screen (14.4g) > 4-layered shade net (11.9g) > aluminum foil (9.8g). Conclusion : Aluminum foil showed greater influx of light but lower temperature than 4-layered shade net due to its materialistic character. However the front side of foil can reflect light and cause photo-oxidation of rear-planted ginseng leaves, so it is a need for improvement. In case of blue light-proof screen, although it had higher inside temperature, the root weight of ginseng was the heaviest because of less influx of light and destruction of chlorophyll.

본 연구에서는 우리나라 강수 및 기온과 다양한 기상인자와의 교차상관관계 분석을 통해 대규모 기후변동이 우리나라에 어떠한 영향을 주는지를 분석하였다. 강수 및 기온자료의 경우 앞선 연구인 “경험적 모드분해법을 이용한 기상인자와 우리나라 강수 및 기온의 상관관계 분석 : I. 자료의 분 해 및 특성분석”의 연구결과를 통해 주기성, 경향성에 따라 분해한 강수 및 기온자료의 내재모드함수를 사용하여, 자료의 변동이 심하고 잡음이 포 함된 원 자료를 통한 상관관계 분석보다 좀 더 명확한 상관계수를 계산하였다. 이렇게 분해된 기상자료와 기상인자간의 교차상관관계 분석을 통해 그 시간차와 상관계수를 계산하여, 주기성과 경향성 측면에서 어떠한 상관관계가 있는지를 분석하였다. 그 결과 주기성 측면에서 엘니뇨현상에 의 한 기후변동이 우리나라 기상현상과 밀접한 관련이 있으며, 경향성 측면에서 기후변화로 인한 해수면 온도 증가추세가 우리나라 기상현상과 밀접 한 연관이 있음을 알 수 있었다.

최근 기후변화로 인한 자연재해가 증가하면서 강수 및 기온자료의 시계열에 대한 변동성과 추세를 분석하여 그 변화를 예측하는 연구의 필요성 이 점점 커지고 있다. 하지만 강수나 기온의 경우 복합적인 요소에 의해 변동이 일어나 자료의 변동성이 매우 심하고 너무 많은 요소를 포함하게 되 어 그 특성을 정확히 판단하기가 쉽지 않다. 따라서 자료의 시계열을 분해하게 되면 각 특성을 가진 요소를 추출할 수 있으므로, 정확한 변동 특성을 파악할 수 있다. 본 연구에서는 우리나라 강수 및 기온자료를 경험적 모드분해법(Empirical Mode Decomposition, EMD)을 통해 주기별로 분해 하여 각각의 내재모드함수(Intrinsic Mode Function, IMF)를 추출하였다. 또한, 추출된 내재모드함수의 에너지 밀도를 이용한 유의성 검정을 통 해 원자료로부터 유의미한 자료를 포함하고 있는 내재모드함수를 선별하고, 이들의 주기성, 경향성을 분석하였다.

We developed the Parameter-elevation Regressions on Independent Slopes Model(PRISM)-based Dynamical downscaling Error correction(PRIDE)-Wind speed(WS) model version 3.0 to produce highresolution( 1km) grid data at a monthly time scale by using observation and Regional Climate Model(RCM) wind speed data. We consequently produced monthly wind speed grid data during the observation period(2000~2014) and the future period(2021~2100) for Representative Concentration Pathway(RCP) 2 type scenarios by using the PRIDE-WS model. The PRIDE-WS model is constructed by combining the MK(Modified Korean)-PRISM-Wind, the RCM anomaly and Cumulative Density Function(CDF) fitting, basically based on Kim et al.(2016)’s algorithm applied for daily precipitation. The upper level wind(80m altitude) was estimated by Deacon equation using surface wind speed that was produced by the PRIDE-WS model. The results show that the wind speed at the upper level generally increased during the summer season while it decreased during the spring, autumn and winter seasons.

The object of this study was to evaluate the effects of climatic elements on potato yield and create a model for estimating the potato yield. We used 35 yield data of Sumi variety produced in mulching cultivation from 17 regions over 11 years. According to the results, some climatic elements showed significant level of correlation coefficient with marketable yield of potato. Totally 22 items of climatic elements appeared to be significant. Especially precipitation for 20 days after planting (Prec_1 & 2), relative humidity during 11~20 days after planting (RH_2), precipitation for 20 days before harvest (Prec_9 & 10), sunshine hours during 50~41 days before harvest (SH_6) and 20 days before harvest (SH_9 & 10), and days of rain during 10 days before harvest (DR_10) were highly significant in quadratic regression analysis. 22 items of predicted yield (Yi=aXi 2 +bXi+c) were induced from the 22 items of climatic elements (step 1). The correlations between the predicted yields and marketable yield were stepwised using SPSS, statistical program, and we selected a model (step 2), in which 4 items of independent variables (Yi) were used. Subsequently the Yi were replaced with the equation in step 1, aXi 2 +bXi+c. Finally we derived the model to predict the marketable yield of potato as below. Y = -336×DR_10 2 + 854×DR_10 – 0.422×Prec_9 2 + 43.3×Prec_9 – 0.0414×RH_2 2 + 46.2×RH_2 – 0.0102×Prec_2 2 – 7.00×Prec_2 – 10039

This study reduced and built Street Canyons created by skyscrapers in order to verify effect of Street Canyons by green wall within the city centre and analysed influence factors on temperature reduction according to applicative types of green wall in the lab. Applicative types were divided into three types such as non- greening type(Case A), one-side greening type(Case B), both side greening type(Case C). The result of analysis of each types showed that average temperature of Case B and Case C is respectively 1.0℃ and 1.7℃ lower than Case A. The result of analysis of WBGT was that the highest temperature was given by Case A(40.2℃) and second one was from Case B(39.8℃) and third one was from (39.1℃) and in UTCI Case A records the highest temperature of 34.7℃ and Case B provided the second highest temperature of 33.9℃ and Case B gave the lowest temperature of 32.7℃. In PMV the highest temperature of 2.65 was from Case B and second one of 2.61 was from Case A and third one of 2.54 was from Case C. Duncan analysis of each types based on solar radiation and thermal comfort generated that there was analytical significance between Case A and Case B and Case B in terms of each types of average temperature reduction. The significance of thermal comfort in WBGT, MRT, PMV showed non-significance but, In UTCI it was analysed that there was significance between Case C and Case A.

Long-term variations of PM10 and the characteristics of local meteorology related to its concentration changes were analyzed at 4 air quality sites (Ido-dong, Yeon-dong, Donghong-dong, and Gosan) in Jeju during two different periods, such as PI (2001-2006) and PII (2007-2013), over a 13-year period. Overall, the long-term trend of PM10 was very slightly downward during the whole study period, while the high PM10 concentrations in PII were observed more frequently than those in PI. The concentration variations of PM10 during the study period was clarified in correlation between PM10 and meteorological variables, e.g. the low (high) PM10 concentration with large (small) precipitation or high (low) radiation and in part high PM10 concentrations (especially, Donghong-dong and Gosan) with strong wind speed and the westerly/northwesterly winds. This was likely to be caused by the transport effect (from the polluted regions of China) rather than the contribution of local emission sources. The PM10 concentrations in “Asian dust” and “Haze” weather types were higher, whereas those in “Precipitation”, “Fog”, and “Thunder and Lighting” weather types were lower. The contribution of long-range transport to the observed PM10 levels in the urban center (Ido-dong, Yeon-dong, and Donghong-dong), if estimated by comparison to the data of the background site (Gosan), was found to explain about 80% (on average) of its input.