Global S&T Development Trend Analysis Platform of Resources and Environment
| 项目编号 | 1559598 |
| Collaborative Research: Sizing Up the Smoke--Evaluating and Improving Our Ability to Predict Aged Wildfire Aerosol Size Distributions | |
| Matthew Alvarado | |
| 主持机构 | Atmospheric and Environmental Research Inc |
| 项目开始年 | 2016 |
| 2016-04-01 | |
| 项目结束日期 | 2019-03-31 |
| 资助机构 | US-NSF |
| 项目类别 | Standard Grant |
| 项目经费 | 227825(USD) |
| 国家 | 美国 |
| 语种 | 英语 |
| 英文摘要 | This research is focused on studying the aging of emissions from biomass burning. Small particles emitted from biomass combustion can react in the atmosphere, changing their size, number, and composition. These aging processes will be modeled and the model results will be tested against actual data from field campaigns. The following questions will be investigated: (1) What are the chemical processes that, when combined with the dispersion and coagulation of biomass-burning emissions, capture the evolution of aerosol size and number concentrations seen in the laboratory and the field? (2) Are the secondary organic aerosol (SOA) formation rates and size-distribution changes measured in lab experiments consistent with the field measurements of aerosol aging? If they are not, can we determine why (e.g. lack of continuous dilution or wall losses in chamber experiments)? (3) What properties most strongly determine the aged biomass-burning aerosol size and number? E.g. total mass emission flux, fresh particle size, fuel type, modified combustion efficiency, wind speed, fire area, vertical mixing depth, sunlight. (4) Can the variability in aged biomass-burning aerosol size and number be captured by a simple parameterization that is a function of the most important of the above properties? |
| 来源学科分类 | Geosciences - Atmospheric and Geospace Sciences |
| 文献类型 | 项目 |
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/69314 |
| 专题 | 环境与发展全球科技态势 |
| 推荐引用方式 GB/T 7714 | Matthew Alvarado.Collaborative Research: Sizing Up the Smoke--Evaluating and Improving Our Ability to Predict Aged Wildfire Aerosol Size Distributions.2016. |
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