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
학위논문
저자정보

이주희 (충남대학교, 忠南大學校 大學院)

지도교수
이윤곤
발행연도
2019
저작권
충남대학교 논문은 저작권에 의해 보호받습니다.

이용수7

표지
AI에게 요청하기
추천
검색

이 논문의 연구 히스토리 (5)

초록· 키워드

오류제보하기
Aerosols in the atmosphere are not only affecting the air quality but also the climate change. Especially, since the variation in radiative forcing varies depending on the radiation absorption and size of aerosol types, research on analyzing particle types based on long-term observations needs to be continued. This study compares the aerosol optical properties on the Korean Peninsula using the variables provided by the AERONET (AErosol RObotic NETwork), a ground-based observation device for aerosols, and aerosol type classification methods presented in various prior studies were applied to classify and compare aerosol types. For this purpose, the level 2.0 daily average of the 500 nm Aerosol Optical Thickness (AOT), Total Precipitable Water (TPW, cm), 440-870 nm Angstrom Exponent (AE), 500 nm Fine Mode Fraction (FMF), 440 nm Single Scattering Albedo (SSA) and Volume Size Distribution (VSD) observed at six observatories (Anmyon, Baengnyeong, Gangneung_WNU, Gosan_SNU, Gwangju_GIST, Yonsei University) on the Korean Peninsula was used. It is also expected that version 3 data considered by the improved cloud screened and quality control algorithms will be used in the analysis to examine the improved results. The aerosol optical properties on the Korean Peninsula vary in magnitude of values, but all of 500 nm AOT, TPW, 440-870 nm AE, 500 nm FMF and 440 nm SSA showed the highest values in summer. For FMF and AE, variables with positive correlation relationship, indicating aerosol size information, the effect of hygroscopic growth decreasing of AE in summer at high FMF were also common. The aerosol type classification was compared in four different ways. First, the application result of the method in Lee et al., (2010), which is classified using 440 nm SSA and 550 nm FMF, was shown the case of mixture type on the Korean Peninsula (Method 1). And it is showed the Dust type in spring. Second, the application result of the method proposed in Zhu et al., (2016), which compares the Extinction/Absorption AE, resulted in the predominance of Urban/Industrial type (Method 2), and some observations showed a biomass burning type. Also, in spring, they showed some Dust types like Method 1. Third, the application result of the method proposed in Schmeiser et al., (2018) (Method 3), which compares median value of Scattering/Absorption AE, Black Carbon type appeared mainly in the Korean peninsula, and in spring, we could often see types with the characteristics of dust. Finally, the results of the method proposed in Gharibzadeh et al., (2018) classifying aerosol types (Method 4), using a correlative scatter plot among the AERONET variables, the Korean Peninsula was dominated by Urban/Industrial type characteristics, and Dust particles appeared in the spring, similar to the results of Method 3. The four different methods were applied to the Korean Peninsula and found that they were divided into relatively similar types overall, but they were divided into different types by region and season.

목차

제 1 장 서론 1
제 2 장 관측소, 자료 및 에어로졸 유형 분류 방법론 4
2.1 관측소 4
2.2 자료 7
2.2.1 AERONET data 7
2.2.2 기상자료 14
2.2.3 HYSPLIT data 14
2.3 에어로졸 유형 분류 방법 15
2.3.1 440 nm SSA와 550 nm FMF의 비교를 통한 에어로졸 유형 분류 방법 (M1) 15
2.3.2 440-870 nm EAE와 440-870 nm AAE의 비교를 통한 에어로졸 유형 분류 방법 (M2) 19
2.3.3 440-870 nm SAE와 440-870 nm AAE의 중간값을 이용한 에어로졸 유형 분류 방법 (M3) 22
2.3.4 두 변수 간 산포도 분포의 비교를 통한 에어로졸 유형 분류 방법 (M4) 25
제 3 장 한반도 지역 에어로졸의 광학적 특성 및 유형 분류 26
3.1 한반도 지역 에어로졸의 시공간 변화 26
3.1.1 한반도 지역 에어로졸의 월별, 계절별 시공간 특징 26
3.1.2 산포도 분포를 통한 한반도 지역 에어로졸의 시공간 특징 42
3.1.2.1 에어로졸 양에 따른 크기 변화 특징 43
3.1.2.2 에어로졸 산란 또는 흡수성에 따른 크기 변화 특징 48
3.2 한반도 지역 에어로졸의 유형 분류 54
3.2.1 에어로졸 유형 분류 및 비교분석 55
3.2.2 한반도로 유입되는 에어로졸의 계절별 특징 77
제 4 장 요약 및 결론 82
약자 일람표 88
참고문헌 89
Abstract 100

최근 본 자료

전체보기

댓글(0)

0