본 연구는 일본 하코네지구의 경관특성을 파악하고, 지역 내에 건축물이 건설될 경우 조망경관에 미치는 영향의 정도를 평가하는데 그 목적이 있다. 이를 위해, 경사와 토지이용상태를 조사하였으며 이를 GIS와 MESH 분석을 통하여 11개의 경관타입으로 구분하였다. 한편, 건축물이 경관에 미치는 여향의 정도는 Y=0.47X+32.652(Y는 자연성의 평가치, X는 시거리, R2는 0.877)의 회귀식으로 나타낼 수 있으며, 조사지역에서 건축물의 신축이 지역경관에 미치는 영향의 정도를 예측하였다. 이러한 연구결과는 체계적인 경관관리를 위한 자료와 지표로 활용될 수 있을 것이다.

우리나라에 분포하고 있는 재래꿀벌(Apis cerana)의 일벌을 대상으로 춘계 11지역 및 하계 12지역 개체군을 선발하였으며, 총 47개 정량형질에 대해 지역별로 판별분석을 실시 하였고, 또한 양 계절간 변이도 분석하였다. 그 결과, 지역별 비교에서는 춘계 91.67%, 하계 88.44%의 평균분리율을 보였으며, 양계절간 비교에서는 97.58%로 나타났다. 반면에 양계절을 통합한 비교에서는 70.16%로 낮았다.

우리나라에 분포하고 있는 재래꿀벌(Apis cerana)의 일벌(worker)을 대상으로 춘계 15지역 및 하계 16지역 개체군을 선택하였으며, 총 47개 정량형질에 대해 계절 및 개체군별로 판별분석(discriminant analysis)을 실시하였다. 그 결과, 각 계절별 및 개체군별 분리도는 모든 비교방법에서 매우 뚜렷하였다. 특히, 전체 47형질 중 앞다리 경절 길이(FTL)가 분리 기여도가 가장 큰 형질로 나타났다.

지리산 대원계곡의 입지환경구배에 따른 삼림군집구조분석을 위하여 89개소의 조사지(1조사구당 500m2)를 설정하고 식생조사를 실시하여 얻은 자료에 대하여 TWINSPAN에 의한 classification 및 ordination의 한 기법인 DCA를 적용하여 분석하였다. Classification에 의하여 낮은 해발고의 건조지에서 소나무군집, 굴참나무군집, 졸참나무-굴참나무군집으로. 습윤지에서 서어나무군집으로 분류되었고, 높은 해발고의 건조지에서 신갈나무군집, 습윤지에서 층층나무-신갈나무군집으로 분류되었으며, DCA기법에 의한 ordination분석결과에서도 classification 분석결과와 같은 경향을 나타내었다. 종에 대한 두 기법분석에 의해 추정된 천이과정은 교목상층에서 해발고가 낮은 지역은 소나무→굴참나무, 졸참나무→서어나무 순이었고, 해발고가 높은 지위는 신갈나무→층층나무 순이었으며, 교목하층은 진달래, 개옻나무, 때죽나무→사람주나무, 나도밤나무, 대팻집나무→참개암나무, 당단풍, 함박꽃나무 순이었다. 환경인자의 ordination 분석에서 소나무군집과 굴참나무군집은 토양수분함량, 유기물함량, 전질소함량, 유효인산. 치환성용량 등의 토양양료가 낮은 지위에 분포하고 신갈나무군집과 층층나무군집은 토양양료가 높은 지위에 분포하였으며, 서어나무군집은 중간지위에 주로 분포하였다.

지리산 국립공원 화엄사계곡(해발 220-1,200m)과 피아골계곡(해발 500-1,225m)의 삼림군집을 대상으로 TWINSPAN에 의한 classification 및 DCA에 의한 ordination 방법을 이용하여 삼림군집구조를 분석비교하고 천이계열을 추정하기 위하여 화엄사계곡 30개 조사구, 피아골계곡 39개 조사구로 총 69개 조사구를 설치하였다. 각 조사구의 크기는 20m ×25m로 500m2이었으며 흉고직경이 2cm 이상인 목본류만 대상으로 조사분석하였다. 화엄사계곡은 소나무군집, 서어나무류.졸참나무군집, 졸참나무.서어나무류군집, 신갈나무군집 등의 4개 군집으로 분리되었다. 서어나무류.졸참나무군집은 졸참나무.서어나무류군집과는 달리 소나무가 부차적인 수종이었다. 피아골계곡은 서어나무류군집, 졸참나무.서어나무류군집, 신갈나무군집 등의 3개 군집으로 구분되었다. 군집분리 환경인자는 2개 계곡 모두 해발고가 1차적인 요인이었다. 천이계열은 화엄사계곡에서 소나무 및 신갈나무→졸참나무→서어나무류, 피아골계곡에서는 신갈나무→졸참나무→서어나무류로 추정되었다. 화엄사계곡은 피아골계곡보다 인간의 간섭정도가 비교적 심했으며, 극상림으로의 천이진행정도가 비교적 심화되지 않은 것으로 추정되었다.

속리산국립공원 법주사지역의 삼림군집을 대상으로 TWINSPAN에 의한 classification 및 DCA의 ordination 기법을 이용하여 식물군집구조를 밝히고 천이계열을 추정하기 위하여 70개 조사구(1조사구당 500m2)를 설치하였다. TWINSPAN에 의한 classification 분석에서 6개의 군집으로 분리되어 소나무 군집, 신갈나무-소나무 군집, 졸참나무-신갈나무 군집, 신갈나무 군집, 서어나무-졸참나무 군집, 졸참나무 군집으로 나뉘었고, 분리환경인자는 해발 고와 토양습도였다. 본 연구에서는 DCA기법이 TWINSPAN보다 효율성이 더 좋았다. 천이계열은 교목상층에서는 소나무, 팥배나무→졸참나무→서어나무와 소나무, 쇠물푸래나무→신갈나무이었고, 교목하층 및 관목층에서는 참싸리, 개옻나무. 산초나무→철쭉, 참개암나무, 생강나무, 함박꽃나무→참회나무로 추정되었다. 산화발생에 의해서 식물군집의 종다양성은 매우 감소하였고, 참나무류의 상대우점치는 증가하였다.

One of fundamental bases for the desirable Science Education is effective evaluation, and the objectives of the Science Education can be used for the reasonable basis of this evaluation. In this paper, to study the current state of the high school Earth Science Education, comparison was made between the objectives of Education proposed by textbook and those to be measured by Scholastic Achievement test, and the result was analyzed. 1. The objectives of both the textbook and Scolastic Achievement test are highly oriented to obtain theory and comprehension. 2. The objectives which measure the Process of Scientific Inquiry are to some extent satisfied by the textbook but not by the Scholastic Achievement test. Consequently the future evaluation process should be modified in order to evaluate properly the ability for the process of Scientific Inquiry of the students properly.

가야산 국립공원과 홍류동 및 치인지구의 삼림군집을 대상으로 ordination 및 classification의 정량적 분석기법을 사용하여 식물군집구조를 밝히고 천이계열을 추정하기 위하여 40개의 조사구(1조사구당 500m2)를 설치하였다. TWINSPAN에 의한 Classification분석에서 최종적으로 8개의 군집으로 분리되었고, 건조형군집은 소나무 및 잣나무가 우점종이었으며, 습윤형은 졸참나무, 신갈나무, 서어나무, 까치박달나무가 우점종이었다. 습윤형은 다시 표고에 의해 구분할 수 있었으며 낮은 표고에서의 군집은 졸참나무가, 높은 표고에서의 군집은 신갈나무가 우점종이었다. DCA에 의한 ordination결과는 제1축에서 소나무가 우점종인 군집과 졸참나무, 신갈나무, 서어나무, 까치박달나무가 우점종인 군집으로 분리되었고, TWINSPAN의 제1 division의 결과와 거의 일치하였다. DCA의 제1축과 토양수분, 토양산도, 표고, 최대종다양도, Shannon의 종다양도지수와는 고도의 부의 상관관계를 나타냈다. 유사도지수는 각군집간에 매우 낮은 값이었으며, 각 군집의 종다양성분석에서는 각 군집의 우점종에 따라 큰 차이가 있었다. 개체수와 종수와의 관계는 개체수가 증가할 수록 종수는 감소하였으며, 개체수가 증가할 수록 종다양성지수는 감소하였다.

An emphasized analysis and reviews on the progress of pesticide managements for the past 10 years through the statistics in Korea are summarized in this continued studies in connection with the fundmental aspects and direction of advanced pesticide industry and improved plantprotection policies for 1980's. Remarkable development and changes are observed in the plant species and varieties, plantation practices and production techniques as well as pest infestations and controls in the last decade, but no normal achievement and operations are recognised on the pesticide management and marketing system especially. Realistic plant protection adminstration and pesticide regulations in accordance to the industrial modernization and pest management advancement must be adjusted in accordance with national economic progress and desirable agricultural structure for 1980's. Special considerations are stated on the strengthening of research and inspection program for the quality products and control with the efficacy and safety use of pesticides. More serious attentions are noted on the over production and flooded stocks under struggled market demands and sales competitions with lethal financial difficulties by producers. Through the status analyzed for the last decade, the integrated past management and cooperative basic control pattern under positive self-forecasting system by farmers are also urged for the effective and economic pest control measures. The problems and solutions discussed here ell the advanced pesticide management as well as the cooperation on the self-ordered quality control and market managing systems in 1980's as it is a desired projection for the further improvement. Most of outstanding and necessary statistics and data in the past decade are also summarized here for references in connection with the previous report.

This study was carried out to identify the problems of the underground watersheds on Jeju Island, and to establish the hydraulic groundwater basin to be used as basis for the analysis of the groundwater model. In order to evaluate the adequacy of the groundwater basin on Jeju Island, a correlation analysis between elevation and groundwater level was conducted using data from 125 observation wells. The analysis, conducted with an elevation step of 100 m, exhibited values of R2 in the range 0.1653-0.8011. No clear correlation was observed between elevation and groundwater level. In particular, the eastern and western areas showed an inverse proportionality between elevation and groundwater level. The Kriging technique was used to analyze the underground water level data and to define the equipotential lines for all areas of Jeju Island. Eight groundwater watersheds were delineated by considering the direction of groundwater flow, the positions of the observation wells, and the long and short axes of the watersheds.

This paper proposes a deep learning-based underground object classification technique incorporated with phase analysis of ground penetrating radar (GPR) for enhancing the underground object classification capability. Deep convolutional neural network (CNN) using the combination of the B- and C-scan images has recently emerged for automated underground object classification. However, it often leads to misclassification because arbitrary underground objects may have similar signal features. To overcome the drawback, the combination of B- and C-scan images as well as phase information of GPR are simultaneously used for CNN in this study, enabling to have more distinguishable signal features among various underground objects. The proposed technique is validated using in-situ GPR data obtained from urban roads in Seoul, South Korea. The validation results show that the false alarm is significantly reduced compared to the CNN results using only B- and C-scan images.

Climate change is intensifying storms and floods around the world. Where nature has been destroyed by development, communities are at risk from these intensified climate patterns. This study was to suggest a methodology for estimating flood vulnerability using Potential Flood Damage(PFD) concept and classify city/county about Potential Flood Damage(PFD) using various typology techniques. To evaluate the PFD at a spatial resolutions of city/county units, the 20 representative evaluation indexing factors were carefully selected for the three categories such as damage target(FDT), damage potential(FDP) and prevention ability(FPA). The three flood vulnerability indices of FDT, FDP and FPA were applied for the 167 cities and counties in Korea for the pattern classification of potential flood damage. Potential Flood Damage(PFD) was classified by using grouping analysis, decision tree analysis, and cluster analysis, and characteristics of each type were analyzed. It is expected that the suggested PFD can be utilized as the useful flood vulnerability index for more rational and practical risk management plans against flood damage.

To establish cultivation areas for the stable production of yacon, this study investigated the productivity and functional component contents of yacon in eight regions of Korea from 2011 to 2013. The results of principal component analysis using these data were as follows. A survey of 16 agricultural traits and meteorological data in the eight yacon cultivation areas showed that five factors (average temperature, maximum temperature, minimum temperature, frost-free days, and fructooligosaccharide content) were highly significant at the p < 0.001 level. Among the 16 agricultural traits and meteorological data used in the main component analysis of yacon cultivation areas, approximately eight contributed to the first principal component, and approximately four contributed to each of the second and third principal components. In particular, factors related to productivity, fructooligosaccharide content, and temperature change were considered important criteria for the classification of cultivation areas. The cultivation areas were divided into three groups by principal component analysis. In Group I, containing the Jinbu and Bonghwa areas in the mid-highland region at 500–560 m above sea level, the product yield was the highest at 2,622–3,196 kg/10a, the fructooligosaccharide content was also the highest at 9.04–9.62%, and the mean temperature was 17.3–18.5℃. In Group II, the areas Suncheon, Okcheon, Yeoju, and Gangneung, at 20–180 m above sea level, had the lowest yield, relatively lower fructooligosaccharide content, and the highest temperature. The areas in Group III showed values intermediate between those of Group I and Group II. For the different yacon cultivation areas, the product quantity and fructooligosaccharide content differed according to the environmental temperature, and the temperature conditions and number of frost-free days are considered important indicators for cultivation sites. Therefore, in terms of producing yacon with high quality, cultivation at 500–560 m is considered to give a higher yield and functional fructooligosaccharide content.

During the research period, error analysis of the amount of daily precipitation was performed with data obtained from 2DVD, Parsivel, and AWS, and from the results, 79 days were selected as research days. According to the results of a synoptic meteorological analysis, these days were classified into ‘LP type, CF type, HE type, and TY type’. The dates showing the maximum daily precipitation amount and precipitation intensity were ‘HE type and CF type', which were found to be attributed to atmospheric instability causing strong ascending flow, and leading to strong precipitation events. Of the 79 days, most days were found to be of the LP type. On July 27, 2011 the daily precipitation amount in the Korean Peninsula reached over 80 mm (HE type). The leading edge of the Northern Pacific high pressure was located over the Korean Peninsula with unstable atmospheric conditions and inflow of air with high temperature and high humidity caused ascending flow, 120 mm/h with an average precipitation intensity of over 9.57 mm/h. Considering these characteristics, precipitation in these sample dates could be classified into the convective rain type. The results of a precipitation scale distribution analysis showed that most precipitation were between 0.4-5.0 mm, and ‘Rain’ size precipitation was observed in most areas. On July 9, 2011, the daily precipitation amount was recorded to be over 80 mm (CF type) at the rainy season front (Jangma front) spreading across the middle Korean Peninsular. Inflow of air with high temperature and high humidity created unstable atmospheric conditions under which strong ascending air currents formed and led to convective rain type precipitation.

In this study, the intra-seasonal fluctuation (ISF) of wintertime temperature change in East Asia was classified by a cluster analysis of complete linkage. A ISF of temperature change was defined as a difference of synthesized harmonics (1 to 36 harmonic) of daily temperature averaged for 30 years (1951~1980, 1981~2010). Eight clusters were gained from the ISF curves of 96 stations in East Asia. Regions of the cluster C, G and A1 seem to be affected by the Siberian High (SH) center, whereas the cluster A1, A2, D, B and F by the SH main pathways. Regions of the cluster E are apart from the SH main pathways and appear to be in the area of influence of other factors. Wintertime temperatures in Northwest China (clusters C, G) and Northeast China (cluster A1) were increased very largely. In most clusters, around late January there were less warming periods than the winter mean of the mean ISF of the clusters, before and after this time there were more warming periods than the winter mean.

The technology of the SWG (Smart Water Grid) as one of most important national projects results in significant assignment that is closely associated with systematic management and effective operation. The individual component technics are required to establish directory and classification for the purpose of effectively managing their information related to research and development (R&D). The national science technology (S&T) standard classification tree which results in the representative example has been established with an intention to manage R&D information, human resource, and budget. It has been also revised every five years and then used in the various fields related to the evaluation, administration, and prediction of the national R&D projects. In addition, the standard classification system for R&D projects has been widely used in the UNESCO (United Nations Educational, Scientific and Cultural Organization) and EU (European Union) since the Frascati Manual was established in the Organization for Economic Cooperation and Development (OECD). Therefore, it is necessary for SWG techniques to develop the standard S&T classification tree for research management and evaluation. For this, it is essential to draw the core techniques for the SWG, which are incorporated with IT (Information Technology), NT (Nano Technology), and BT (Biology Technology).

This study aimed at setting up the evaluation indicators system by rural village types to identify systematically the multi-valuedness embedded in rural villages. AHP(Analytic Hierarchy Process) was used for evaluating the relative importance weight evaluation of each indicator and quantitative analysis of rural village through computer works. The importance weight of evaluation indicators was converted into the score on the basis of maximum 1,000 point to increase the practicality. As a result, characteristics of 5 rural village types(Basic life-supporting, Agricultural promotion, Marketing/processing oriented, Urban-rural communication, Life-style choice types) differed in score of classified indicators. Also, These results are expected to be possible to quantitatively evaluate characteristics by rural village types.

최근까지 우리나라에서 수행된 자연재해 관련 연구는 태풍이나 집중호우에 관한 것이 대부분이나 폭풍이나 폭풍우에 의한 재해의 발생 빈도도 높다. 폭풍과 태풍에 의해 발생하는 강풍에 의한 피해는 현재까지 거의 연구가 수행되지 않고 있지만, 최근 지속적으로 발생하는 강풍 피해를 저감하기 위해서는 그에 대한 기초연구가 필요하다. 이에 본 연구에서는 종관 분석을 통해 우리나라에서 발생한 강풍을 분류하고 그 유형을 제시하였다. 본 연구에서의 ‘강풍 사례’는 2001년부터 2010년까지 전국 AWS와 ASOS의 시간평균풍속을 기준으로 14m/s(기상청 강풍주의보 기준)이상인 풍속이 10개소 이상이 나타난 경우로 정의하였다. 그리고 선정된 ‘강풍사례’의 24시간 전 일기도를 이용한 종관 분석을 실시하여 기압 배치에 따라 유형을 분류하였다. 강풍발생에 영향을 준 기압 유형에 따라 중국 화북, 화중, 화남지역에서 발생한 경우를 유형 CN, CC, CS으로 정의하였다. 그리고 우리나라 동해안에 저기압이 발생한 유형은 KE, 태풍은 유형 TY, 시베리아 고기압으로 인해 강풍이 발생한 유형은 H로 정의하였다. 연간 강풍 발생 횟수는 2004년, 2005년, 2006년이 각 10회로 가장 높게 나타났고, 최근 10년간의 강풍 사례 분석을 통해서는 발생 횟수의 증가·감소 경향을 판단할 수 없었다. 2001년과 2007년을 제외한 모든 해에는 유형 H가 발생하였고(총 22회) 강풍 사례 중 유형 H와 KE에 의한 것이 전체 사례의 53%로 나타났다. 유형 CN은 2004~2006년에만 총 4회 발생했다. 강풍 발생 유형의 빈도수는 H, KE, CC, TY, CS, CN으로 나타났다(유형 CC와 TY는 동일한 빈도수). 본 연구에서는 기상학적인 전문지식을 바탕으로 종관 분석을 통해 강풍사례를 분류하였지만, 이를 보다 객관적인 기준에 따라 분류한다면 일반인(비전문가)도 강풍유형 분류가 가능할 것이다. 따라서, 향후 더 많은 강풍 사례를 대상으로 하여 강풍 분류를 보다 객관적으로 할 수 있는 체계적인 방법을 제시할 필요성을 가진다.