| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.5194/acp-2016-880 |
| Global anthropogenic emissions of particulate matter including black carbon. | |
| Klimont Z; Kupiainen K; Heyes C; Purohit P; Cofala J; Rafaj P; Borken-Kleefeld J; Schöpp W | |
| 发表日期 | 2017 |
| 出处 | Atmospheric Chemistry and Physics Discussions 17 (14): 8681-8723 |
| 出版年 | 2017 |
| 语种 | 英语 |
| 摘要 | This paper presents the first comprehensive assessment of historical (1990–2010) global anthropogenic particulate matter (PM) emissions including consistent and harmonized calculation of mass-based size distribution (PM1, PM2.5, PM10) as well as primary carbonaceous aerosols including black carbon (BC) and organic carbon (OC). The estimates were developed with the integrated assessment model GAINS, where source- and region-specific technology characteristics are explicitly included. This assessment includes a number of previously unaccounted or often misallocated emission sources, i.e., kerosene lamps, gas flaring, diesel generators, trash burning; some of them were reported in the past for selected regions or in the context of a particular pollutant or sector but not included as part of a total estimate. Spatially, emissions were calculated for 170 source regions (as well as international shipping), presented for 25 global regions, and allocated to 0.5° x 0.5° longitude-latitude grids. No independent estimates of emissions from forest fires and savannah burning are provided and neither windblown dust nor unpaved roads emissions are included. |
| 主题 | Air Quality & ; Greenhouse Gases (AIR) ; Mitigation of Air Pollution (MAG) |
| URL | http://pure.iiasa.ac.at/id/eprint/13937/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/130848 |
| 推荐引用方式 GB/T 7714 | Klimont Z,Kupiainen K,Heyes C,et al. Global anthropogenic emissions of particulate matter including black carbon.. 2017. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| acp-2016-880-supplem（712KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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