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
허려화 (아주대학교) 김형택 (아주대학교) 남궁훤 (한국에너지기술연구원)
저널정보
한국에너지기후변화학회 에너지기후변화학회지 에너지기후변화학회지 Vol.13 No.1
발행연도
2018.6
수록면
23 - 32 (10page)

이용수

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

초록· 키워드

오류제보하기
According to the fast industrial development and a lot of fossil fuel consumption, the emission of sulfur oxide, nitrogen oxide, ozone and particulate matters have continuously increased. In particular, urban air pollution problems have dominantly issued in China. In 2013, many provinces and cities in China were influenced by serious dust haze that extremely caused low visibility and air quality. To inhibit this environmental problem, China’s State Council issued a policy document, such as the Ten Measures of the State Council in June, 2013 and officially released the Action Plan for Air Pollution Prevention and Control (the Action Plan) in September at the same year, which was the forth road map for the nation’s air pollution prevention and control efforts for the period of 2013-2017. Subsequently, Chinese central and local governments promulgated a series of policies, laws, regulations, standards and technical guidelines to implement the Action Plan. And specific indicators are as follows. By 2017, the concentration of urban Particulate Matters (PM10) is going to be reduced by 10% compared to PM10 concentration of 2012. In addition, Chinese government will try to promote increase of annual number of days with fairly good air quality. Meanwhile, concentration of fine particulate matter (PM2.5) in Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta region is going to be reduced by approximately 25%, 20% and 15%, respectively. Especially, annual PM2.5 concentration in Beijing is planned to be controlled below 60 mg/㎥.

목차

ABSTRACT
1. 서론
2. 중국 대기 오염 현황
3. 중국 대기 오염 개선 관련 정책 현황
4. 결론
References

참고문헌 (15)

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