인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study analyzed consulation data for the environmental impact assessment consultation data focusing on onshore wind power and solar power generation projects, which make up the largest share of renewable energy generation, to identify annual trends and the number of consultation cases by type. The GIS Database(DB) construction and location characteristics of existing onshore wind and solar power generation complexes were analyzed. Based on business code and project name, the number of consultations on wind power generation was 127, with another 7,700 solar power generation, showing sharp increases in both 2014 and 2017. By examining project progress based on aerial photographs and satellite images, GIS DB was constructed. Location characteristics were analyzed for wind (31 cases) and solar (42 cases) power generation complexes, which displayed accurate business boundaries. Most wind power generation plants were located in forest areas with an average annual wind speed of more than 6m/s and gentle slopes in alpine areas. In addition, they are located in areas with an excellent ecological environment, such as Ecological Zoning Map first-level areas, Ecological Conservarion Value Assessment Map first-level areas, and core and buffer regions of the Baekdudaegan protected areas. Most solar power generation plants were generated in low altitude flat forest and farmland, forestry-conservation forest, and natural environment conservation area. The results of this study can be used as basic data for effective environmental impact assessment consultations, such as creation of new power generation complexes and improved location standards.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2020-453-000890298
