지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.6
- 수록면
- 110 - 117 (8page)
이용수
초록· 키워드
오류제보하기
A nested 3d-chemical transport model, GEOS-Chem, was used to estimate the burden of disease (BoD) from PM<SUB>2.5</SUB> exposure in fifty-three urban agglomerations (UAs) in India with population of 1 million or more, and the contribution of different chemical components to the PM<SUB>2.5</SUB> burden in these locations. Premature mortality due to four diseases (ischemic heart disease, IHD, chronic obstructive pulmonary disease, COPD, stroke and lung cancer) caused by exposure to PM<SUB>2.5</SUB> was estimated using an integrated exposure response function. The studied 53 UAs accounted for approximately 20% of the total premature mortality of 0.54 (0.45–0.63) million in India. Delhi had the maximum premature mortality (11945) followed by Kolkata (9204), Mumbai (8817), Bangalore (4528) Hyderabad (4157) and Chennai (3818). Premature mortality was 2% to 59% higher than the country average in model regions containing UAs. Contribution from different chemical components was in the order: organic carbon (18–30%) > NO₃<SUP>-</SUP> (8–21%) > SO₄<SUP>2-</SUP> (5–16%) > NH₄<SUP>+</SUP> (6–9%) > black carbon (2.5–4%). Our estimates suggest policies targeting multiple compounds are required to achieve large reductions in PM<SUB>2.5</SUB> pollution in urban regions.
목차
ABSTRACT
1. Introduction
2. Materials and Methods
3. Results
4. Conclusions
References
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