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
임득용 (경희대학교) 이태정 (경희대학교) 김동술 (경희대학교)
저널정보
한국대기환경학회 한국대기환경학회지(국문) 한국대기환경학회지 제28권 제3호
발행연도
2012.6
수록면
325 - 347 (23page)

이용수

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

이 논문의 연구 히스토리 (5)

초록· 키워드

오류제보하기
Long-term air and weather data monitored during the period of 2000 to 2009 were analyzed to quantitatively estimate the precipitation scavenging and wind dispersion contributions of ambient PM<SUB>10</SUB> and NO₂ in Korea. Both air pollutants and meteorological data had been respectively collected from 120 stations by the Ministry of Environment and from 20 weather stations by the Korea Meteorological Administrations in all parts of Korea. To stochastically identify the relation between a meteorological factor and an air pollutant, we initially defined the SR (scavenging ratio) and the DR (dispersion ratio) to separately calculate the precipitation and wind speed effects on the removal of a specific air pollutant. We could then estimate the OSC (overall scavenging contribution) and the ODC (overall dispersion contribution) with considering sectoral precipitation and wind speed probability density distributions independently. In this study, the SRs for both PM<SUB>10</SUB> and NO₂ were generally increased with increasing the amounts of precipitation and then the OSCs for PM<SUB>10</SUB> and NO₂ were estimated by 22.3% and 15.7% on an average in Korea, respectively. However, the trend of the DR was quite different from that of SR. The DR for PM10 was increased with increasing wind speed up to 2.5 m/s and further the DR for NO2 showed a minimum in the range of 1?WS?1.5. The ODCs for PM10 and NO2 were estimated by 14.9% and 1.0% in Korea, respectively. Finally, we have also provided an interesting case study observed in Seoul.

목차

Abstract
1. 서론
2. 분석방법 및 분석자료
3. 분석결과
4. 결론
감사의 글
참고문헌

참고문헌 (0)

참고문헌 신청

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0