RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
          펼치기
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
          펼치기
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        환경공간정보를 이용한 식생부문 환경영향평가 고도화 방안 연구

        최유영,이지연,성현찬 한국환경생물학회 2022 환경생물 : 환경생물학회지 Vol.40 No.1

        Vegetation is the basis for biodiversity conservation and sustainable development. In the Environmental Impact Assessment (EIA), which is the most direct and efficient policy measure to prevent degradation of nature, vegetation-related assessment has limitations as it is not based on quantitative and scientific methods. In addition, it focuses on the presence of protected species; hence, it does not take into account the role of vegetation as a habitat on a wide-area scale. As a way to overcome these limitations, this study aims to contribute to the quantification and advancement of future EIA on vegetation. Through the review of previous studies, core areas, connectivity, and vegetation condition were derived as the items to be dealt within the macroscopic aspect of vegetation impact assessment. Each item was spatially constructed using land cover maps and satellite imageries, and time series change analysis was performed. As a result, it was found that vegetation has been continuously deteriorating due to development in all aspects, and in particular, development adversely affects not only the inside of the project site but also the surrounding area. Although this study suggested the direction for improvement of the EIA in the vegetation sector based on data analysis, a more specific methodology needs to be established in order to apply it to the actual EIA process. By actively utilizing various environmental spatial data, the impact of the development on the natural ecosystem can be minimized. 생태계를 구성하는 주요 요소인 식생은 생물다양성 보전과 지속가능 발전의 기반으로 보전의 필요성이 높다. 개발로 인한 자연훼손을 방지할 수 있는 가장 직접적이고 효율적인 정책 수단인 환경영향평가에서 식생 관련한 평가는 정량적·객관적이지 못한 한계가 존재한다. 또한, 영향평가가 보호종의 존재 여부에 집중되어 있어 광역적 차원에서 서식처로서 식생의 역할을 고려하지 못하고 있다. 본 연구에서는 다양한 공간데이터를 활용하여 개발사업으로 인해 식생이 받는 영향을 다각도로 검토하고 향후 식생 환경영향평가의 정량화·고도화에 기여하는 것을 목표로 한다. 이를 위해 선행연구 검토를 통해 거시적인 측면에서 식생 영향평가 시 다루어야 하는 항목으로 현재 활용하고 있는 식생보전등급 외에 핵심 면적, 연결성, 식생상태를 도출하였다. 각 항목을 토지피복도와 위성영상을 활용하여 공간적으로 구축하고 시계열 변화분석을 수행하였다. 연구 결과, 모든 항목에서 개발로 인해 식생이 지속적으로 악화되고 있으며, 특히 환경영향평가 대상사업지 내부뿐 아니라 주변 지역에도 악영향이 있음을 규명하였다. 본 연구를 통해 데이터를 기반으로 한 식생부문 환경영향평가의 개선방향을 제시하였으나, 실제 환경영향평가에 적용하기 위해서는 보다 구체적인 방법론이 정립될 필요성이 있다. 다양한 환경공간자료를 적극 활용하여 개발사업으로 인해 자연생태계가 받는 영향을 보다 정량적·과학적으로 평가함으로써 개발사업이 자연생태계에 미치는 영향을 최소화하고, 효과적인 저감대책 수립에 기여할 수 있을 것이다.

      • KCI등재

        수용 전념 치료(ACT)가 부정적인 신체 상을 가진 여대생의 신체 상 존중감, 회피 및 자아존중감에 미치는 효과

        최유영,손정락 한국건강심리학회 2011 한국심리학회지 건강 Vol.16 No.4

        The purpose of this study is to explore the effects of Acceptance and Commitment Therapy(ACT) on Body Image Esteem, Avoidance, and Self-Esteem of College Women with Negative Body Image. Three hundred fifty nine women college students who lived in chonbuk province completed the Body Esteem Test, the Body Cathexis Scale, the K-BICSI and the Self Esteem Scale. Eighteen patients who selected by those scales were randomly assigned to 9 in the ACT group and 9 in the waiting-list control group. All participants completed Body Esteem Test, Body Cathexis Scale, K-BICSI and Self Esteem Scale at pretreatment, end of treatment, and at 4 weeks follow-up periods. ACT program was administered for 8 sessions. The results of this study were as follows: Body Esteem, Self Esteem of therapy group were increased more than those of the waiting-list control group , and Avoidance was decrease in therapy group. Finally, the implications and the limitations of this study, and the suggestions for future study were also discussed. 본 연구는 수용 전념 치료(ACT) 프로그램이 여자 대학생의 신체 상 존중감, 회피 대처전략, 자아 존중감에 미치는 효과를 알아보았다. 사전 검사에서 신체 존중감 검사, 신체 만족 척도, 한국판 신체 상 대처 전략 척도(K-BICSI), 자아 존중감 척도를 실시하여, 신체 존중감 검사와 신체 만족 척도에서 하위 25%에 해당하고 높은 회피 대처 점수를 보이는 여자 대학생 18명을 선발하여 수용전념 치료 집단에 9명, 대기통제집단에 9명으로 무선할당 하였다. 그 후 치료집단에 대해 총 8회기에 걸쳐 수용전념 치료 프로그램을 실시하였다. 프로그램 종료 후 사후 검사가 실시되었고 4주 후 추적 검사가 이루어졌다. 그 결과, 수용 전념 치료 프로그램에 참여한 집단이 대기 통제 집단보다 신체 만족도와 자아 존중감이 증가하였고 회피 대처 전략이 감소하였으며 그 수준이 추적검사까지 유지되었다. 마지막으로 본 연구의 의의, 제한점 및 후속 연구를 위한 시사점이 논의되었다.

      • KCI등재

        식생 베타 다양성의 공간화 기법 연구 - Generalized Dissimilarity Model의 국내적용 및 활용 -

        최유영,Choi, Yu-Young 한국환경복원기술학회 2022 한국환경복원기술학회지 Vol.25 No.3

        For biodiversity conservation, the importance of beta-diversity which is changes in the composition of species according to environmental changes has become emphasized. However, given the systematic investigation of species distribution and the accumulation of large amounts of data in the Republic of Korea(ROK), research on the spatialization of beta-diversity using them is insufficient. Accordingly, this research investigated the applicability of the Generalized Dissimilarity Modeling(GDM) to ROK, which can predict and map the similarity of compositional turnover (beta-diversity) based on environmental variables. A brief overview of the statistical description on using GDM was presented, and a model was fitted using the flora distribution data(410,621points) from the National Ecosystem Survey and various environmental spatial data including climate, soil, topography, and land cover. Procedures and appropriated spatial units required to improve the explanatory power of the model were presented. As a result, it was found that geographical distance, temperature annual range, summer temperature, winter precipitation, and soil factors affect the dissimilarity of the vegetation community composition. In addition, as a result of predicting the similarity of vegetation composition across the nation, and classifying them into 20 and 100 zones, the similarity was high mainly in the central inland area, and tends to decrease toward the mountainous areas, southern coastal regions, and island including Jeju island, which means the composition of the vegetation community is unique and beta diversity is high. In addition, it was identified that the number of common species between zones decreased as the geographic distance between zones increased. It classified the spatial distribution of plant community composition in a quantitative and objective way, but additional research and verification are needed for practical application. It is expected that research on community-level biodiversity modeling in the ROK will be conducted more actively based on this study.

      • KCI등재

        남한의 생물기후권역 구분과 특성 규명

        최유영 ( Choi Yu-young ),임철희 ( Lim Chul-hee ),류지은 ( Ryu J I-eun ),( Dongfan Piao ),강진영 ( Kang J In-young ),( Weihong Zhu ),( Guishan Cui ),이우균 ( Lee Woo-kyun ),전성우 ( Jeon Seong-woo ) 한국환경복원기술학회(구 한국환경복원녹화기술학회) 2017 한국환경복원기술학회지 Vol.20 No.3

        This study constructed a high-resolution bioclimatic classification map of South Korea which classifies land into homogeneous zones by similar environment properties using advanced statistical techniques compared to existing ecological area classification studies. The climate data provided by WorldClim(1960-1990) were used to generate 27 bioclimatic variables affecting biological habitats, and key environmental variables were derived from Correlation Analysis and Principal Component Analysis. Clustering Analysis was performed using the ISODATA method to construct a 30`(~1km) resolution bioclimatic classification map. South Korea was divided into 21 regions and the results of classification were verified by correlation analysis with the Gross Primary Production(GPP), Actual Vegetation map made by the Ministry of Environment. Each zones` were described and named by its environmental characteristics and major vegetation distribution. This study could provide useful spatial frameworks to support ecosystem research, monitoring and policy decisions.

      • KCI등재

        다중기후모형을 활용한 동북아시아의 미래 생물기후권역 변화분석

        최유영 ( Yuyoung Choi ),임철희 ( Chul-hee Lim ),류지은 ( Jieun Ryu ),전성우 ( Seongwoo Jeon ) 한국환경영향평가학회 2018 환경영향평가 Vol.27 No.5

        기후변화에 대응하여 보다 적극적인 생물보전전략 수립을 위해 생물 서식환경의 변화예측이 필요하며, 생물기후권역은 유용한 생태계 관리체계를 제공할 수 있다. 이에 따라 본 연구에서는 생물기후권역구축을 통해 동북아시아의 생물 서식환경을 파악하고, 생물 서식관점에서 기후변화의 영향을 분석하였다. Worldclim에서 제공하는 현재(1970~2000년) 기후자료 및 17개 전 지구 기후모형의 예측자료(RCP4.5, RCP8.5)를 이용하여 2050년대와 2070년대의 변화를 모의하였다. 먼저 현재와 미래의 주요생물기후변수(Aridity index, growing degree days, potential evapotranspiration seasonality, temperature seasonality)를 구축하여 동북아시아의 생물기후환경 특성을 파악하고, 기후변화에 따른 시공간적 변화를 분석하였다. ISODATA 군집분석으로 현재의 생물기후권역을 구분하고, MLC(Maximum Likelihood Classification)를 통해 미래의 권역변화를 예측하였다. 기후변화에 따라 대부분의 권역이 북상하는 경향성을 확인할 수 있었으며, 권역의 면적과 위도 분포변화를 분석함으로써 권역의 축소가 가장 두드러지게 나타나는 중국 남부에 위치한 권역을 집중 관리권역으로 제시하였다. 본 연구는 한반도를 포함한 동북아시아 지역의 다양한 기후변화 시나리오에 따른 영향평가를 바탕으로 향후 기후변화에 대응한 생물종 혹은 생태계 관련 적응정책 수립 시 활용 가능한 기초자료를 제공할 수 있을 것으로 사료된다. As climate changes, it is necessary to predict changes in the habitat environment in order to establish more aggressive adaptation strategies. The bioclimatic classification which clusters of areas with similar habitats can provide a useful ecosystem management framework. Therefore, in this study, biological habitat environment of Northeast Asia was identified through the establishment of the bioclimatic zones, and the impac of climate change on the biological habitat was analyzed. An ISODATA clustering was used to classify Northeast Asia (NEA) into 15 bioclimatic zones, and climate change impacts were predicted by projecting the future spatial distribution of bioclimatic zones based upon an ensemble of 17 GCMs across RCP4.5 and 8.5 scenarios for 2050s, and 2070s. Results demonstrated that significant changes in bioclimatic conditions can be expected throughout the NEA by 2050s and 2070s. The overall zones moved upward, and some zones were predicted to be greatly expanded or shrunk where we suggested as regions requiring intensive management. This analysis provides the basis for understanding potential impacts of climate change on biodiversity and ecosystem. Also, this could be used more effectively to support decision making on climate change adaptation.

      • KCI등재

        환경영향평가 고도화를 위한 평가항목별 민원기반 데이터 수요 도출 연구

        최유영 ( Choi Yu-young ),조효진 ( Cho Hyo-jin ),황진후 ( Hwang Jin-hoo ),김윤지 ( Kim Yoon-ji ),임노을 ( Lim No-ol ),이지연 ( Lee Ji-yeon ),이준희 ( Lee Jun-hee ),성민준 ( Sung Min-jun ),전성우 ( Jeon Seong-woo ),성현찬 ( Sung Hyu 한국환경복원기술학회 2021 한국환경복원기술학회지 Vol.24 No.6

        Although the Environmental Impact Assessment (EIA) is continuously being advanced, the number of environmental disputes regarding it is still on the rise. In order to supplement this, it is necessary to analyze the accumulated complaint cases. In this study, through the analysis of complaint cases, it is possible to identify matters that need to be improved in the existing EIA stages as well as various damages and conflicts that were not previously considered or predicted. In the process, we dervied ‘complaint-based data demands’ that should be additionally examined to improve the EIA. To this end, a total of 348 news articles were collected by searching with combinations of ‘environmental impact assessment’ and a keyword for each of the six assessment groups. As a result of analysis of collected data, a total of 54 complaint-based data demands were suggested. Among those were 15 items including ‘impact of changes in seawater flow on water quality’ in the category of water environment; 13 items including ‘area of green buffer zone’ in atmospheric environment; 10 items including ‘impact of soundproof wall on wind corridor’ in living environment; 8 items including ‘expected number of users’ in socioeconomic environment, 4 items including ‘feasibility assessment of development site in terms of environmental and ecological aspects’ in natural ecological environment; and 4 items including ‘prediction of sediment runoff and damaged areas according to the increase in intensity and frequency of torrential rain’ in land environment. In future research, more systematic complaint collection and analysis as well as specific provision methods regarding stages, subjects, and forms of use should be sought to apply the derived data demands in the actual EIA process. It is expected that this study can serve to advance the prediction and assessment of EIA in the future and to minimize environmental impact as well as social conflict in advance.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼