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        검색결과 26

        21.
        2013.12 KCI 등재 서비스 종료(열람 제한)
        The selection of land for fishing village development project, and the standard used to classify fishing villages has been determined based on the guidelines developed by fishing village cooperatives. The approach fishing village cooperatives follows is likely to classify fishing villages without first reflecting on the overall development environment of the region, such as other industries and workers in the area. It also acts as a barrier for business promotion or evaluation, because the cooperatives do not match the administrative districts, which are the units of administration, and the main policy enforcement agent in regional development. Against this background, this study aimed to identify categories to situate the development direction, as well as the size and distribution of fishing villages based on eup, myeon, and dong administrative units as defined by the Fishing Villages and Fishery Harbors Act. This study was based on the Census of Agriculture, Forestry, and Fisheries of 2010, and analyzed 826 eups, myeon, and dongs with fishery households using the principal component analysis, and 2-Step cluster analysis methods. Therefore, 95% of the variance was explained using the covariance matrix for types of fishing villages, but it was analyzed as one component focusing on the number and ratio of fishery households, and used the cluster-type analysis, which focused on the sizes of fishing villages. The clusters were categorized into three types: (1) the development type based on the number of fishermen in the eups, myeons and dongs was analyzed as village size (682); (2) administrative district size (121); and (3) total eups, myeons and dongs (23), which revealed that the size of most fishing villages was small. We could explain 73% of the variance using the correlation coefficient matrix, which was divided into three types according to the three principal component scores, namely fishery household power, fishery industry power, and fishing village tourism power. Most fishing villages did not have a clear development direction because all business areas within the region were diversified, and 552 regions could be categorized under the harmonious development type, which is in need of balanced development. The fishery industry type typified by industrial strength included 159 regions in need of an approach based on industrialization of fishery product processing. Specialized production areas, which specialized in producing fishery products, were 115 regions with a high percentage of fishermen. The analysis results indicated that various situations in terms of size and development of fishing villages existed. However, because several regions exist in the form of small village units, it was necessary to approach the project in a manner that directed the diversification of regional development projects, such as places for local residents to relax or enjoy tourism experiences within the region, while considering the overall conditions of the relevant eups, myeons, and dongs. Reinforcement of individual support for fishermen based on the Fisheries Act must take precedence over providing support for fishermen through regional development. In addition, it is necessary to approach the development of fishing villages by focusing on industrializing the processing techniques of fishery products. Areas specialized in the production of fishery products are required to consider the facilities for fisheries production, and must make efforts to increase fishery resources, such as releasing fry.
        22.
        2011.02 서비스 종료(열람 제한)
        지진피해예측시스템(HAZUS)을 이용하여 지진발생 시 지역별 재해규모를 예측할 수 있으며, 이 결과는 실제상황에서는 신속하고 효과적인 피해복구대책을, 가상지진상황에서는 실효성 있는 종합 지진재해대비책을 수립하는데 큰 도움을 줄 수 있다. 지역적 지반특성에 따라 지진동의 크기가 다르게 나타나므로, 지역적 지반특성을 반영한 지반특성분류도를 작성하여 지진재해예측시스템 구현에 적용하면 보다 신뢰성 높은 피해예측 결과를 산출 할 수 있다. 이번 연구에서는 경주지역에서 발생하는 규모 6.7의 가상지진에 대하여 지반특성분류도를 적용한 경우와 그렇지 아니한 경우 지역별 지진재해예측 결과에 차이가 있음을 확인하였다. 지반특성분류도를 적용하지 않았을 경우에는 지진발생위치로부터 거리가 멀어질수록 점차적으로 재해가 작아지는 일정한 형태를 보인다. 그러나 지반특성분류도를 적용한 경우에는 지진발생위치와 지반특성이 동시에 지역별 재해크기에 영향을 미친다. 경주시의 경우 지진발생위치와 가까이 위치하기 때문에 피해규모가 크고, 포항시 남구의 경우 이 지역에 광범위하게 분포하고 있는 연약지반의 영향으로 경주와 비슷한 피해규모가 예상된다.
        23.
        2005.02 KCI 등재 서비스 종료(열람 제한)
        경남지역의 자생 둥굴레속 47개 수집종의 유연관계를 분석하기 위한 기초자료로서 수집종의 생장 몇 형태 관련 형질, 잎마름병 감염정도, 이들 형질간 상관관계를 분석하였던 바 그 결과는 다음과 같다. 1. 초장은 산둥굴레에서 가장 길었던 반면, 용둥굴레에서 가장 짧았다. 한편 줄기의 생장형태는 직립형을 포함한 3개군으로, 줄기색깔은 녹색을 포함한 3개군으로 분류하였다. 2. 염의 형태로는 타원형을 포함한 5개군으로, 엽병은 존재 유무로부터 2개군으로, 엽병의 색깔은 녹색을 포함한 3개군으로 분류되었으며, 그 중에 특이하게 피침 형태로 엽연이 자색인 1개종이 수집되었다. 3. 꽃은 화형이 항아리형, 통형, 조롱박형의 3개군으로, 화색은 흰색을 포함한 3개군으로 분류되었으며, 특별하게 조롱박형인 1개 수집종은 연녹색을 띄고 있었다. 화사는 실린더형과 편평형으로, 화경의 색깔은 자색을 포함한 4개군으로 분류되었으며, 포의 존재 유무와 형태에 따라 4개군으로 분류하였다. 4. 과실은 둥근형 등 3개군으로 분류되었으며, 백과중은 둥굴레에서 가장 무거웠던 반면, 용둥굴레에서 가장 가벼웠다. 5. 둥굴레 잎마름병에 대한 저항성이 아주 강한 것은 2종, 이병율이 7% 이하인 것은 7개종으로 조사되어서 근경수량을 증대할 수 있는 저항성 유전자원이 자생하고 있음을 알 수 있었다. 6. 제형질의 상관관계에서 근경수량과 관련된 근경중은 초장, 경직경, 엽수, 엽장, 엽폭, 지하경 직경과 정의상관을 보였으나 근경수량에 가장 큰 영향을 미치는 잎마름병 이병율은 초장, 경직경, 엽수, 엽장, 백립중, 근경중, 지하경 직경과 부의상관을 보였다.
        24.
        2003.02 KCI 등재 서비스 종료(열람 제한)
        This study was carried out to present rural functional resources through classification and preparation of checklist for ecological and cultural resources which considered various aspect of agriculture and rural area. In this study the function of ecological and cultural resources classified 6 functions such as natural environment, free environmentally agricultural products, experience of agricultural products, recreational places, rural life experience, and Interchanges of human resources. Prepared evaluation list through this study can explain a local characteristics based on 6 functions of agricultural and mountain village. This evaluation list was focused on the magnitude of the resources which motivate the visiting of city-dweller as a consumer, for an actual regional plan, investigation of the inhabitant consciousness survey should be needed, simultaneously.
        25.
        1996.03 KCI 등재 서비스 종료(열람 제한)
        As a rational decision-making process of county-level area development, this study designed 3-step framework : function-giving(areal analysis) on unit planning area by decision matrix of land suitability, check of typical characteristics of each function area and formulation of its future development strategies. Two alternatives were suggested as the areal analysis method, of which one is equal ordering / valuing technique of checking indices for land suitability classfication and the other preferential weighting technique. And then, under the algorithm specially defined in this study, land suitability maps(Fig.2,3) of the case study area (Seungju-county area, Chonnam-province, Korea) were drawn from the areal analysis results. By use of land suitability classification results, unique characteristics of typical function areas were defined (on 7 types of alternative 1 , 8 types of II ) and their future development strategies were formulated in the case study area, According to the categorization criteria in this study, all the villages of the case area were classfied as a suitable type of function areas illustrated in this study.
        26.
        1995.03 KCI 등재 서비스 종료(열람 제한)
        As a initial methodological approach to rational land use planning in the county-level area, three types of land suitability classification techniques were examined from the viewpoint of their practical applicability through the case study of Seungju-gun area, Chonnam-province, Korea : major factors' criteria(method I ), principal component analysis( I ), and local monitoring( R( ). Each method has its strong and weak points as shown in Tab.-5. Therefore, when its practical application, there seem to be wide-range methodological selectivities from exclusive use of the best one to intermethodological combination of related ones In the beginning stage, intermethodological combination of all three types were tried to formulate the best solution possible. However, because of reliability problem of method R accrued from non- uniformity of evaluators'quality, only two methods( 1 , E ) were combined into a new evaluation method The applied results of the new combined method to case study area are shown in Fig.-2, 3 and 4.
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