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| 城市环境PM2.5空间分布监测方法研究进展 |
| A Review on Monitoring Methods for Spatial Distribution of Urban PM2.5 |
| 投稿时间：2015-02-10 修订日期：2015-08-28 |
| DOI：10.14050/j.cnki.1672-9250.2016.01.018 |
| 中文关键词: PM2.5;空间分布;健康;监测 |
| 英文关键词: PM2.5;source;health;monitor |
| 基金项目:国家自然科学基金项目(41101421,41471442);浙江省重点科技创新团队项目(2011R50027);浙江省省院合作项目(2014SY16);金华市科技局农业类重点项目(2014-2010) |
| 作者 | 单位 | E-mail | | 丁冰, 陈健, 王彬, 伊力塔 | 浙江农林大学 亚热带森林培育国家重点实验室培育基地, 浙江 临安 311300 | chenjian@126.com |
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| 中文摘要: |
| 随着城市化和工业化的发展,城市环境中日益增多的PM2.5对人类健康造成了严重威胁。本文旨在分析总结目前PM2.5空间分布的相关监测方法以及空气质量预测模型。当下,PM2.5浓度的监测不仅涉及大气化学、污染物的源解析、大气化学运输模型、线性及非线性空气质量模拟等方面,还涉及地理信息系统与卫星遥感等新技术的运用。本文在比较传统PM2.5监测与新型监测方法不同的基础上,分析了各自的优劣,为空气质量监测提供建议和指导。 |
| 英文摘要: |
| Recently, there has been enormous progress in the research area of atmospheric aerosol. The objective of this paper is to provide a comprehensive theoretical review on monitoring and computational methods for urban PM2.5 and air quality models. This review includes sources of air pollution, primary and secondary pollutants, atmospheric chemistry, atmospheric chemical transport models, computer programs for dispersion modeling, online and offline air quality modeling, data assimilation, parallel computing, applications of geographic information system in air quality modeling, air quality index, as well as the use of satellite and remote sensing data in air quality modeling. All above are comprehensively discussed and reviewed with respect to various literature and methods related. This paper may serve as a compendium for scientists who work in air quality modeling field. |
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