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
이제승 (서울특별시보건환경연구원) 조석주 (서울특별시 보건환경연구원) 길혜경 (서울특별시보건환경연구원) 이목영 (서울특별시 보건환경연구원)
저널정보
한국환경분석학회 환경분석과 독성보건 환경분석과 독성보건 제23권 제3호
발행연도
2020.1
수록면
127 - 140 (14page)

이용수

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

이 논문의 연구 히스토리 (2)

초록· 키워드

오류제보하기
In this study, the concentration of polychlorinated biphenyls (PCBs) remaining in the sediment of Han River and its 4 tributaries was investigated in a cost-effective method using gas chromatography-electron capture detector (GC-ECD). The concentration of total PCBs was calculated by summing up the individual Aroclor concentration quantified using specific congeners of each Aroclor. By quantifying individual Aroclors, the concentration of dioxin-like PCBs (dl-PCBs) and toxicity equivalency quotient (TEQ) for sediment samples could be estimated using simple formulae derived from the information of dl-PCBs content in individual Aroclors. Although it was not possible to compare the estimated concentration of dl-PCBs with the concentration analyzed by high-resolution mass spectrometry (HRMS) for the same sample, acceptable results were obtained through comparison with the concentration of sediment samples at adjacent points in previous studies. As a result, PCB concentration remaining in the sediments in the urban stream was relatively high in the sediments near the industrial area. In the case of the two tributaries adjacent to the industrial area, the concentrations of PCBs in most sediment samples exceeded the effective range low (ERL) value and at certain points exceeded the effective range median (ERM) value. In addition, most high concentrations of PCBs were commonly detected at the junction of the river and its tributary where the flow rate slowed noticeably. Therefore, it is necessary to consider the junction of rivers as an important sampling point when investigating PCBs in sediments.

목차

등록된 정보가 없습니다.

참고문헌 (34)

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