| 来源类型 | Article
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| 规范类型 | 其他
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| DOI | 10.1088/1748-9326/aa6cb4
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| Uncertainties in emissions estimates of greenhouse gases and air pollutants in India and their impacts on regional air quality. |
| Saikawa E; Trail M; Zhong M; Wu Q; Young CL; Janssens-Maenhout G; Klimont Z; Wagner F
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| 发表日期 | 2017
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| 出处 | Environmental Research Letters 12 (6): 065002
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| 出版年 | 2017
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| 语种 | 英语
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| 摘要 | Greenhouse gas and air pollutant precursor emissions have been increasing rapidly in India. Large uncertainties exist in emissions inventories and quantification of their uncertainties is essential for better understanding of the linkages among emissions and air quality, climate, and health. We use Monte Carlo methods to assess the uncertainties of the existing carbon dioxide (CO2), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), and particulate matter (PM) emission estimates from four source sectors for India. We also assess differences in the existing emissions estimates within the nine subnational regions. We find large uncertainties, higher than the current estimates for all species other than CO, when all the existing emissions estimates are combined. We further assess the impact of these differences in emissions on air quality using a chemical transport model. More efforts are needed to constrain emissions, especially in the Indo-Gangetic Plain, where not only the emissions differences are high but also the simulated concentrations using different inventories. Our study highlights the importance of constraining SO2, NOx, and NH3 emissions for secondary PM concentrations. |
| 主题 | Air Quality &
; Greenhouse Gases (AIR)
; Mitigation of Air Pollution (MAG)
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| URL | http://pure.iiasa.ac.at/id/eprint/14663/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131030
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推荐引用方式
GB/T 7714 |
Saikawa E,Trail M,Zhong M,et al. Uncertainties in emissions estimates of greenhouse gases and air pollutants in India and their impacts on regional air quality.. 2017.
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文件名：
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Saikawa_2017_Environ._Res._Lett._12_065002.pdf
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格式：
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Adobe PDF
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