| 来源类型 | Journal articles |
| 规范类型 | 论文 |
| DOI | 10.5194/acp-20-1757-2020 |
| Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015 | |
| Chris Malley | |
| 发表日期 | 2020-02-14 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 概述 | Artificial neural networks are developed and applied to empirically model long-term O3 exposure and assess impacts over the continental US from 2000 to 2015. |
| 摘要 | The paper describes a method to develop and apply artificial neural networks to empirically model long-term O3 exposure over the continental US from 2000–2015, and to generate a measurement-based assessment of impacts on human-health and crop yields. |
| 主题 | Air : Pollution, Short-lived climate pollutants |
| 标签 | air pollution ; methodology ; ozone |
| 区域 | SEI York |
| URL | https://www.sei.org/publications/magnitude-trends-impacts-of-long-term-o3-exposure-in-us-2000-to-2015/ |
| 来源智库 | Stockholm Environment Institute (Sweden) |
| 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/525553 |
| 推荐引用方式 GB/T 7714 | Chris Malley. Magnitude, trends, and impacts of ambient long-term ozone exposure in the United States from 2000 to 2015. 2020. |
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