메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
조승래 (동아대학교 대학원 도시계획.조경학과) 강영조 (동아대학교 도시계획.조경학부)
저널정보
한국조경학회 한국조경학회지 한국조경학회지 제35권 제1호
발행연도
2007.1
수록면
69 - 78 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to determine the basis for the names of mountain passes that have been different since antiquity, especially names such as those written in Chinese characters. For this purpose, this researcher focused on 108 mountain passes listed in the section of Gyeongsangdo that is a part of Joseon's representative human geographic literature, 'Sinjong Dongguk Yeoji Seungram'. Then the author found out their location by reviewing 'Joseon Hugi Jibang Jido', 'Daedong Yeojido' and 'Hanguk Jimyeong Chongram'. Out of the 180 passes, 30 were finally selected to be analyzed. Again 15 among 30 were found named as 'Hyeon', 7 as 'Ryeong' and remainder were called either term on occasion. The study tried to find out standards according to whether the 30 passes were named as 'Hyeon' or 'Ryeong'. To carry out the study, the author made 3 hypotheses. First, the passes' altitudes were examined. Then visual characteristics were investigated when seen from the summit of the passes. Finally, the number of the passes' turns was investigated to know whether this discriminates between 'Hyeon' and 'Ryeong'. The results of the study can be summarized as follows. With the altitudes and the visual characteristics as mentioned above, it was not possible to determine features that clearly discriminate 'Hyeon' from 'Ryeong'. However, the number of the turns was significantly different in accordance with the names of the passes, 'Hyeon', 'Ryeong' and 'Hyeon or Ryeong'. It seems that 'Hyeon' and 'Ryeong' were discriminatively used depending on how mountain passes were apparently perceived with the number of their turns.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0