Purpose – The current study is to compare the cognition of stakeholders on hosting a mega sports event between Korea and the United States. In particular, to understand their cognition and perceptual conflict towards hosting a mega sports event, the study employed conflict theory. Furthermore, the study reviewed the role of social capital in the process of managing the mega sports events. Research Design, Data, and Methodology – Of homogeneous sampling, purposeful sampling method and criterion-based selection approach were used to collect interview data from key stakeholders who have been involved in hosting a mega sports events in Korea and the United States. In-depth interview transcripts were reviewed multiple tiems after transcription to extract concepts and meanings that were pertinenet to the experience involving hosting a mega sports event. Further member checks was conducted to increase the credibility of the results. Results – Results can be summarized as followed: First, stakeholders of Korea have a strong desire for positive economic effects of a mega sports event, compared to those in the United States who are more concerned in enhancing the public interests and concerns. Second, in Korea, various socio-political issues emerged at the same time and conflicts among multiple stakeholders have aggravated the situations to coordinate the issues. This was because legal system supporting socio-trust has not been established. On the other hand, major stakeholders of the United States consisted of community members who have socio-trust and networks. Thereby these social resources have been found playing a key role in building social capital that assists the stakeholders to coordinate the current issues and to solve them. Conclusions – The current study analyzed the cognition and perceptual conflict of stakehoders in a mega sports event. Social capital has beend found as a key catalyst to increase a network and cooperation among stakeholders. In order to enhance social capital in managing a mega sports event hosted in Korea, legal systems that establish networks and relationships among the related stakeholders need to be developed. Furthermore, the systematic guideline needs to be developed, organizing the sub-committees according to the types of stakeholders and the categorized common needs.

한국의 농업유산 정책은 2002년 FAO가 도입한 GIAHS 제도를 바탕으로 2012년에 농림축산식품부가 도입하였다. 현재 한국 국가중요농업유산(KIAHS)지역으로 지정이 되면, 농림축산식품부의 다원적 자원 활용사업에 의해 3년간 보전 관리를 위한 예산지원을 받도록 제도화되어 있다. 그렇지만, 다원적 자원 활용사업 종료 이후 KIAHS 지역에 대한 실질적인 관리체계는 마련되어 있지 않은 상황으로, 이에 대한 연구가 시급한 상황이다. 따라서 본 연구는 KIAHS 지역에 대한 지속적 관찰 및 데이터 구축을 위한 모니터링 지표 개발을 통하여, 지속가능하고 효율적인 KIAHS 지역의 보전관리체계를 마련하는 것을 목적으로 한다. 이를 위해, 본 연구는 문헌고찰, 해외사례 조사, 전문가 그룹 인터뷰를 통한 지표의 검증 및 현장 적용의 연구방법을 통하여 모니터링 지표 및 관리체계를 도출하였다. 모니터링 지표는 단계별 검증절차를 거쳐서 총 17개의 공통지표와 각 지구의 특성을 반영하는 자율지표로 구성하여 제시하였다. 제시한 모니터링 지표들은 준비-지정-관리의 3단계로 구분하여 단계별로 적용가능한 지표를 제시하고, 측정시기와 방법, 측정주체 등 관리체계 구축에 필요한 항목들을 함께 제시하였다. 본 연구는 한국 국가중요농업유산의 보전과 관리를 위한 정책적 시사점을 제시하는 데 의의가 있다.

The purpose of this study was to minimize salt water intrusion into freshwater aquifers and limit the development of freshwater aquifers, by selecting an appropriate excavation depth of in the western coastal area of Jeju Island. The study site was mostly basaltic lava, which was mainly composed of trachy basalt. A vertical logging test was conducted to investigate the vertical distribution of the groundwater and saline groundwater interface in the study well. It was found that freshwater groundwater, saline groundwater, and freshwater groundwater are distributed from the surface to approximately 16 m, 16∼50 m, and 50∼60 m, below the ground, respectively. In order obtain saline groundwater and minimize the inflow of freshwater into this well, the drilling depth should be limited in the range of 16∼50 m from the surface. Thus, saline groundwater well development should be carried out with reference to the measurement results, which depend on the drilling depth and EC (electrical conductivity) obtained with drilling apparatus for geology and ground handling.

The hydrochemistry of groundwater from 47 wells in the Chungwon area, Korea was analyzed to examine the occurrence of natural radionuclides like uranium and radon. The range of Electrical Conductivity (EC) value in the study area was 67∼1,404 μS/cm. In addition to the high EC value, the content of cations and anions also tends to increase. Uranium concentrations ranged from ND～178 μg/L (median value, 0.8 μg/L) and radon concentrations ranged from 80～12,900 pCi/L (median value, 1,250 pCi/L). Uranium concentrations in one well, that is 2.8% of the samples, exceeded 30 μg/L, which is the Maximum Contaminant Level (MCL) proposed by the US Environmental Protection Agency (EPA), based on the chemical toxicity of uranium. Radon concentrations in three wells, that is 6% of the samples, and one well, that is 2.8% of the samples, exceeded 4,000 pCi/L (AMCL of the US EPA) and 8,100 pCi/L (Finland’s guideline level), respectively. Concentrations of uranium and radon related to geology of the study area show the highest values in the groundwater of the granite area. The uranium and radon contents in the groundwater were found to be low compared to those of other countries with similar geological settings. It is likely that the measured value was lower than the actual content due to the inflow of shallow groundwater by the lack of casing and grouting.

본 시험은 전남지역에서 갈색날개매미충(Ricania shanthungensis) 발생현황을 조사하고 친환경 방제체계 확립을 위하여 2016년부터 2017년까지 2년간 수행하였다. 광주, 전남 도내 갈색날개매미충은 15시군 61읍면의 1,344 ha에 발생하였다. 정점지역 4개소 조사 결과 난괴나 약충밀도는 2016년에 비해 2017년에 낮아지고 부화율은 감소하고 첫 부화시기나 성충 출현, 산란 시작시기는 더 늦어지는 경향이었다. 갈색날개매미충의 알기생봉인 검정알벌류(Telenomus sp.)는 대부분의 지역에 발생하고 있으며, 기생률은 순천이 46.1%로 가장 높았고, 무안 40.6, 곡성 29.2, 구례 25.8, 광주 17 순이었다. 갈색날개매미충알 방제를 위한 살포적기는 3월 상순이었다. 살포자재와 희석배수는 친환경재배는 기계유 유제 10배액, 일반재배는 클로르피리포스수화제 500배액을 살포하면 95%가 부화하지 못했다. 기계유유제, 고삼+미생물추출물제, 피마자유제의 유기농업자재가 약충에 대하여 80% 이상의 살충효과가 있었고, 성충에는 고삼+미생물추출물제, 님추출물제, 기계유유제가 좋았다. 디노테퓨란수화제 등 4종의 화학농약은 모두 약충과 성충방제에 효과적이었다. 갈색날개매미충이 가장 선호하는 주광색 등과 행동습성을 이용하여 성충 유인포획장치를 개발하였다. 포획장치 구성은 주광색 컴팩트램프 2개(30W, 20W), 황색판, 포집수반으로 구성되었으며 하루에 700마리정도 포획되었다. 이상의 조사결과를 이용해 전남지역에서 갈색날개매미충 생활환과 친환경 방제체계를 확립하였다.

수문모형의 매개변수 추정에 필요한 유량 관측 자료의 수집은 시·공간적으로 제한이 있어 우리나라도 아직 상당수의 미계측유역이 존재하며, 이를 보완하고자 주변 유역의 정보를 활용하는 지역화 방법들이 연구되어 왔다. 그러나 지역적 특성이나 기후 조건에 따라 지역화 방법의 결과가 상이하여 어느 지역에 어떠한 지역화 방법이 가장 우수하다고 판단하기 어렵다. 본 연구에서는 보편적으로 사용되는 지역화 방법인 지역회귀모형의 설명 변수에 공간근접모형으로 추정한 수문모형의 매개변수를 추가하여 회귀모형의 적합성을 향상시켰으며, 이를 하이브리드 지역화모형이라 정의하고 기존 방법들과 비교하였다. 계측유역으로는 관측 자료가 충분한 남한의 37개 유역을 선정하였고, 수문모형은 개념적 수문모형인 GR4J를 사용하였으며, 계측유역에 대한 수문모형의 매개변수 산정은 Shuffled complex evolution 알고리즘을 사용하였다. 유역 특성변수들 간 다중공선성을 고려하기 위해 Variation inflation factor를 사용하였고, Stepwise regression을 통해 회귀모형의 최적 설명변수를 선택하였다. 통계 값을 통해 모형의 적합성을 비교한 결과, 하이브리드 지역화모형에서 가장 작은 RMSE 값을 나타내었으며, 유역별 모의 값의 변동성이 줄어들어 결과의 불확실성 또한 낮아짐을 확인할 수 있었다. 따라서 하이브리드 모형이 미계측유역의 유출량 산정을 위한 하나의 대안이 될 수 있음을 확인하였다.

기후변화에 따른 강우특성의 변화 등 다양한 기상이변과 극한사상에 관련된 수자원 연구는 일반적으로 전지구 기후 모델(General Circulation Model, GCM) 산출물에 기반하여 생산된 미래 기상정보를 바탕으로 이루어진다. 사회 다양한 분야에서 기후변화 영향평가가 심층적으로 이루어지고 있는 가운데 과거기간에 대한 원시 모의결과 평가를 통한 GCM의 성능과 산출물에 대한 재현성 고찰 연구는 상대적으로 미흡한 실정이다. 본 연구에서는 한반도 지역에 대한 전지구 모델의 성능을 평가하기 위해 동아시아 지역의 격자단위 관측자료를 수집하여 과거기간(1970~2005)에 대한 강우특성 공간분포를 분석하고 이에 대한 GCM 산출물의 재현성을 평가하였다. 위도와 경도에 따른 강우특성의 공간적 변동성에 대한 GCM 결과의 상관성과 평균/절대오차를 산정하여 29개 CMIP5 GCM의 순위를 결정하여 제시하였다. 연구 결과 오차 통계와 대상지역에 따라 GCM 순위가 상이하게 나타났으며 특히 공간분포의 패턴과 절대적 오차를 기준으로 판단한 GCM 순위가 크게 다르게 나타났다. 대체로 Hadley Centre 계열 모델의 동아시아 지역에 대한 강우특성 재현성이 높게 나타났으며 한반도 지역만을 대상으로 평가한 경우 MPI_ESM_MR과 CMCC center 계열 모델의 재현성이 높게 나타났다. 본 연구결과는 향후 한반도 지역의 기후변화 영향평가에 가중있게 고려되어야 할 GCM의 선정과 GCM 성능고려에 따른 기후변화 예측 불확실성 평가에 적용될 수 있으며 다양한 영향 평가 연구결과의 신뢰도 제고에 기여할 것으로 기대된다.

This study observed particulate matter (PM2.5 and PM10) in the downtown area of Jeju City, South Korea, to understand the chemical composition of particulates based on an analysis of the water-soluble ionic species contained in the particles. The mass fraction of the ionic species in the sampled PM10 and PM2.5 was 44.3% and 42.2%, respectively. In contrast, in Daegu City and Suwon City, the mass fraction of the ionic species in PM2.5 was higher than that in PM10. The chloride depletion percentage of PM10 and PM2.5 in Jeju City was higher than 61% and 66%, respectively. The contribution of sea-salt to the mass of PM10 (5.9%) and PM2.5 (2.6%) in Jeju City was similar to that in several coastal regions of South Korea. The mass ratio of Cl- to Na+ in the downtown area of Jeju City was comparable to that in some coastal regions, such as the Gosan Area of Jeju Island, Deokjeok Island, and Taean City. The mass fraction of sea-salt in PM10 and PM2.5 was very low, and the concentration of sodium and chloride ions in PM10 was not correlated with those in PM2.5 (R2 < 0.2), suggesting that the effects of sea-salt on the formation of particulate matter in Jeju City might be insignificant. The relationship between NH4 + and several anions such as SO4 2-, NO3 -, and Cl-, as well as the relationship between the measurement and calculation of ammonium ion concentration, suggested that sea-salts may not react with H2SO4, and (NH4)2SO4 may be a major secondary inorganic aerosol component of PM2.5 and PM10 in Jeju City.

This research investigated the characteristics of NO and NO2 concentration at roadside (Choryangdong) and residential (Sujeongdong) locations in Busan. The NO concentration at roadside and residential were 34.7 and 8.0 ppb, respectively, and NO2 at roadside and residential were 31.6 and 18.0 ppb ㎍/㎥ , respectively. The NO concentration was the highest in winter at roadside at 37.1 ppb, followed by 35.0 ppb and 34.0 ppb in summer and fall, respectively. NO2 concentration was the highest in spring at roadside at 39.6 ppb, followed by 30.4 ppb and 28.3 ppb in fall and winter, respectively. Number of exceedances per year of 1 hr limit value (0.10 ppm) for NO2 at roadside and residential were 3,585 and 3 hours, respectively. Number of exceedances per year of 24 hr limit value (0.06 ppm) for NO2 at roadside and residential were 32 and 1 days, respectively. Number of exceedances per year of 1 hr limit value (0.1 ppm) for O3 at roadside and residential were 1 and 14 days, respectively. These results indicated that understanding the relationship between roadside and residential could provide insight into establishing a strategy to control urban air quality.

This research investigated the characteristics of PM10 and PM2.5 concentration at roadside (Choryangdong) and residential (Sujeongdong) locations in Busan. The PM10 concentration at roadside and residential locations were 50.5 and 42.9 ㎍/m3, respectively, and PM2.5 at roadside and residential were 28.1 and 23.9 ㎍/m3, respectively. The roadside/residential ratio of PM10 and PM2.5 concentration were 1.18, and the PM2.5/PM10 ratio at roadside and residential were 0.55 and 0.56, respectively. The PM10 concentration in spring at roadside were 64.6 ㎍/m3, and were the highest, followed by 48.0 ㎍/m3 and 45.2 ㎍/m3 in winter and summer. Number of exceedances per year of the daily limit value for PM10 at roadside and residential were 66 and 39 days, respectively. The PM10 and PM2.5 concentration, and PM2.5/PM10 ratio at roadside were 53.0 ㎍/m3, 29.0 ㎍/m3 and 0.55 for day, and 45.5 ㎍/m3, 26.7 ㎍/m3 and 0.59 for night, respectively. These results indicate that understanding the relationship between roadside and residential could provide insight into establishing a strategy to control urban air quality.

Road freezing caused by snowfall during wintertime causes traffic congestion and many accidents. To prevent such problems, we developed, in this study, a system to predict road freezing based on weather forecast data and the freezing generation modules. The weather forecast data were obtained from a high-resolution model with 1 km resolution for Jeju Island from 00:00 KST on December 1, 2017, to 23:00 KST on February 28, 2018. The results of the weather forecast data show that index of agreement (IOA) temperature was higher than 0.85 at all points, and that for wind speed was higher than 0.7 except in Seogwipo city. In order to evaluate the results of the freezing predictions, we used model evaluation metrics obtained from a confusion matrix. These metrics revealed that, the Imacho module showed good performance in precision and accuracy and that the Karlsson module showed good performance in specificity and FP rate. In particular, Cohen’s kappa value was shown to be excellent for both modules, demonstrating that the algorithm is reliable. The superiority of both the modules shows that the new system can prevent traffic problems related to road freezing in the Jeju area during wintertime.

본 연구는 지역사회 자원을 활용한 유치원 가족 프로그램 활동을 구성하여 적용하는 과정에서 부모들이 어떠한 경험을 하는지 알아보기 위한 것이다. 이를 위해 연구자가 원장으로 근무하는 유치원의 만 5세 유아 26명과 그 가족들을 대상으로 2017년 7월 21일부터 2017년 11월 7일까지 부모와 협의한 일정에 따라 가족 프로그램을 실시하였다. 본 연구의 절차는 지역사회 자원을 활용한 가족 프로그램의 구성과 프로그램 전개의 두 단계로 이루어졌고 총 9회기의 프로그램 전개는 다시 사전단계(지역기관 탐색하기, 관련도서 찾아보기, 주제와 관련된 궁금증 알아오기)와 본 활동 단계(도입, 전개, 마무리)로 이루어졌다. 이상과 같은 절차를 통해 연구자의 참여관찰, 참여교사저널, 연구자 메모, 부모질문지 및 면담 등의 다면적 자료를 수집하였으며 자료 분석은 기술, 분류, 관련짓기의 순환적 과정을 거쳤다. 연구 결과, 지역사회자원을 활용한 유치원 가족프로그램에 참여한 부모들은 첫째, 지역사회자원에 대한 새로운 시각을 갖게 되었고, 둘째, 유치원 가족 프로그램에 대한 신뢰와 믿음이 향상되었으며, 셋째, 단위 가족에 국한된 것이 아닌 다른 가족들과의 유대와 연합을 통해 현대의 개인주의, 인간소외를 극복하는 협력과 화합의 장을 경험하였다. 본 연구의 결과는 지역사회자원을 활용한 유치원 가족 프로그램이 지역사회 공간에 대한 인식 변화를 비롯하여 유치원 구성원 전체에게 미치는 긍정적 영향력을 경험적으로 고찰하여 유치원 가족 프로그램의 가능성을 확장하였다는 데 의의를 둔다.

The safety of the future mankind becomes a world issue due to the climate change driven by global warming. It is inevitable to observe everywhere in daily life the impact of climate change. The level of emergency differs between long-term, mid-term, and short-term, which depends on situation. The impact of climate change in daily life is fairly diverse, and therefore multiple research units of different backgrounds often work together on the measuring and forecasting of the impacts. This paper aims to study the potentially useful methods to analyze and forecast the impact on the changes in transport activities of Canadian Inuit. This is part of the research on the climate change’s impact on the Northern Sea Route area. Either natural or man-made change of external environment forces human to adjust their daily life in order to maintain their utility level of life. Individual or individuals’ group react to the external impact, the way of which differ from others. This fact calls a simulation research on the whole set of input-intermediate process-output. Agents representing individuals or certain subpopulation are given a set of rules to react to stimulus and interact with other agents behave in the realm of simulation. This paper provides methodological discussions on how analyzing and forecasting future change in transport activities in response to climate change. The discussion goes around activity-based approaches that are recently popular in urban planning and transportation planning among available simulation approaches. This paper then discusses the implication and future research agenda.

Obstacle avoidance is one of the most important parts of autonomous mobile robot. In this study, we proposed safe and efficient local path planning of robot for obstacle avoidance. The proposed method detects and tracks obstacles using the 3D depth information of an RGB-D sensor for path prediction. Based on the tracked information of obstacles, the paths of the obstacles are predicted with probability circle-based spatial search (PCSS) method and Gaussian modeling is performed to reduce uncertainty and to create the cost function of caution. The possibility of collision with the robot is considered through the predicted path of the obstacles, and a local path is generated. This enables safe and efficient navigation of the robot. The results in various experiments show that the proposed method enables robots to navigate safely and effectively.

The purpose of this study is to identify the effectiveness of satellite images in detecting the areas of rice production in the Barisal of Bangladesh. We also investigated the effect of climate change on the crop production through comparative analysis of rice production area and production statistics with climate data at multi-temporal time scale. This analysis found that the classification of rice fields extracted through satellite image and made as the number of rice cultivation areas did not exceed 10 percent of the statistical data. Climate data analysis showed that the average temperature during the ripening stage has the greatest impact on Boro’s production. It would be more make sense if you can describe the results of how precipitation is also important for rice production in addition to temperature. Therefore, it is believed that this research could serve as a key basis for solving food security issues due to climate change.

This study aims to identify more reasonable and efficient development plans to engage local university students in landscape improvement projects in rural areas. To survey university students, residents, administrators and experts involved in such projects on important considerations in this regard, SWOT analysis was employed to identify important factors, followed by analytic hierarchy process (AHP) to evaluate their relative importance, identify problems and suggest implications for improvement. The results are summarized as follows: the relative importance of the SWOT group was in the order of opportunity, strength, threat, and weakness. For each SWOT factor, the relative importance of strengths was in the order of students’ aspiration and passion, availability of creative ideas and designs, and improved attachment to their community. The relative importance of weaknesses was in the order of the lack of spontaneous participation of residents, short preparation periods and insufficient budgets, and the lack of experience in similar projects. The relative importance of opportunities was in the order of young students’ activity itself being a boost factor to the community, students’ endeavors arising a consensus among residents, and students feeling a sense of duty as representatives of their school. The relative importance of threats was in the order of projects being one-shot, temporary events, immaturity, and differences in preferences between older and younger generations. To draw an overall ranking of the sub-factors evaluated, the overall relative importance of the decision-making factors was evaluated. Among the sub-factors for each SWOT group, young students’ activity itself being a boost factor to the community as an opportunity factor was shown to be the most important, while the lack of experience in similar projects was shown to be the least important as administrators and experts made appropriate interventions in each stage.

The purpose of this study is to characterize the synoptic climatic patterns of extreme humansensible temperature (HST) events in Jeju Island, Korea under a subtropical climate condition as well as to examine their teleconnections with the large-scale climate systems. According to the extreme case analysis of the recent 30 years (1988-2017) data sets, the maximum daily average HST in the coastal areas of Jeju Island can rise up to about 40°C in mid-summer and even up to about 48°C during mid-daytime. These extreme HST events occur when the expansion of subtropical Pacific high pressure toward East Asia as well as the poleward shift of the Changma front provides hot and humid conditions over Jeju Island surrounded by seas, particularly in La Niña years with a positive (+) Arctic Oscillation mode. In contrast, the intensified western high and eastern low dipole pressure pattern in mid-winter, which accompanies the downward shear of upper tropospheric cold air toward the southern region of the Korean Peninsula under a negative (-) Arctic Oscillation mode, provides favorable conditions for frequent low HST extreme events. These conditions can lower daily average HST as much as -10°C in the coastal region of Jeju Island, and lower nighttime HST by -25°C on the peak areas of Mt. Halla due to wind chill effects. These findings will be used as a base for establishing prediction and warming systems of extreme HST events on Jeju Island, which is needed to mitigate the damage to the lives of Jeju residents and tourists under climate change.

The study aims to predict the behavior of tourists in Hadong County, which is registered as KIAHS. Based on the theory of planning behavior, we intend to verify the theory of planned behaviour, which adds descriptive parameters of the perceived value and prior knowledge of an agricultural heritage. In detail, first, the perceived value and prior knowledge of tourists about an agricultural heritage understand the influence of tourists’ Attitude. Second, we could see the role of the behavioral factors in the causal relationship of the planned behavioral theory. We have identified the planned behavioral theory that attitudes, subjective norms, and perceptual behavior controls affect the intention of the revisit. Hadong should remember that by sending and providing various information about Hadong Green Tea and World Agricultural Heritage sites, it is possible to elicit changes in visitor attitudes and revisit visits.

This study analyzed business ecosystems in 4 case regions(Yeongdong, Seocheon, Sunchang, and Hadong) that carry forward the regional 6th industrialization. The analysis aimed to draw implications to build a healthy ecosystem for the sustainable development of the regional 6th industrialization. As a result of the analysis, 4 districts show different characteristics for their growth stages, and these results provide implications for policy directions for the development of the regional industry. The following basic direction was set for the sustainable regional 6th industrialization based on the healthy ecosystem. First, policy support should be differentiated by considering each region’s growth stage. Second, to improve the regional innovation capacity, it is needed to lay the foundation continually and strengthen diverse support for it. Third, a stronger and efficient implementation system is necessary for the regional 6th industrialization.

본 연구에서는 SEAWAT을 이용하여 여수지역의 해수침투 피해 면적을 파악하고, 기후변화 시나리오 적용에 따른 미래의 해수침투 피해 예상 면적을 산출하였으며 해수침투 피해 저감 대책의 피해면적 저감 능력을 분석하였다. 2015년 기준 여수지역의 해수침투 피해 면적은 14.90 km2로 나타났고, 기후변화 시나리오를 적용하였을 때 2099년 여수지역의 예상 해수침투 피해 면적은 RCP 4.5의 경우 19.19 km2이며, RCP 8.5의 경우 20.43 km2로 나타났다. 이에 대한 저감대책으로 인공함양을 고려하였을 때, 총 300 m3/d, 100 m3/d, 50 m3/d의 함양 시나리오를 설정하였을때 RCP 4.5의 경우 해수침투 면적은 평균 7.03%, RCP 8.5의 경우 8.32% 감소하였다. 물리적 차수벽 대책의 경우는 차수벽의 두께를 0.8 m, 1.3 m, 1.8 m 로 설정하였을 때 RCP 4.5의 경우 해수침투 면적은 평균 9.80%, RCP 8.5의 경우 10.30% 감소하였다. 본 연구는 연안지역의 해수에 의한 지하수 오염과 그에 수반한 2차적인 피해를 막기 위한 대비책을 결정하기 위한 정량적인 근거로서 사용될 수 있을 것으로 기대된다.