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
질문

논문 기본 정보

자료유형
학술저널
저자정보
강희주 (Dongshin University) 국찬 (Dongshin University) 신용규 (Dongshin University)
저널정보
한국소음진동공학회 한국소음진동공학회논문집 한국소음진동공학회논문집 제31권 제2호(통권 259호)
발행연도
2021.4
수록면
142 - 150 (9page)
DOI
10.5050/KSNVE.2021.31.2.142

이용수

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

초록· 키워드

오류제보하기
In this study, we measured and recorded the sound at various points in Soswaewon, and analyzed the soundscape characteristics in the garden space. The main conclusions were as follows: Soswaewon could be classified according to the cross-sectional level, such as “Gyewon (rigolet garden)” at the lower level, “Jeon Won (front garden)” at the middle level, and “Naewon (inner garden)” at the upper level. The sound of water could be used to describe the main environmental factors of “Gyewon,” “Jeon Won,” the space for moving with guests, and “Naewon,” the space where the owner resides, using the physical index representing the soundscape characteristics. The values of StdDev and REm in comparison with L90 could be ranked in the following order: “Gyewon” < “Jeon Won” < “Naewon,” which could be attributed to the sound of water. This could also be attributed to the differences in the upper, middle, and lower levels of the spatial section. In addition, as a result of the comparative analysis of L90 and unbiased annoyance, “Naewon” was found to have a relatively higher NbEm value, indicating the number of peaks, than that of the background sound in the space; however, the unbiased annoyance value appeared to be low. Thus, “Naewon” was believed to be a space dedicated for residences. In the future, the characteristics of the Soswaewon soundscape may be determined through further research, such as diversifying the measurement timing according to seasonal changes and conducting subjective evaluation of the secured sound sources.

목차

ABSTRACT
1. 서론
2. 연구 내용 및 방법
3. 결과 및 분석
4. 결론
References

참고문헌 (16)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0