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城市环境PM2.5空间分布监测方法研究进展
引用本文:丁冰,陈健,王彬,伊力塔.城市环境PM2.5空间分布监测方法研究进展[J].地球与环境,2016,44(1):130-138.
作者姓名:丁冰  陈健  王彬  伊力塔
作者单位:;1.浙江农林大学亚热带森林培育国家重点实验室培育基地
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)
摘    要:随着城市化和工业化的发展,城市环境中日益增多的PM_(2.5)对人类健康造成了严重威胁。本文旨在分析总结目前PM_(2.5)空间分布的相关监测方法以及空气质量预测模型。当下,PM_(2.5)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PM_(2.5)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。

关 键 词:PM2.5  空间分布  健康  监测
收稿时间:2015/2/10 0:00:00
修稿时间:2015/8/28 0:00:00

A Review on Monitoring Methods for Spatial Distribution of Urban PM2.5
DING Bing,CHEN Jian,WANG Bin,YI Lita.A Review on Monitoring Methods for Spatial Distribution of Urban PM2.5[J].Earth and Environment,2016,44(1):130-138.
Authors:DING Bing  CHEN Jian  WANG Bin  YI Lita
Affiliation:The Nurturing Station for the State Key Laboratory of Subtropical Silviculture, Zhejiang Agriculture and Forestry University, Lin''an 311300, China
Abstract: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.
Keywords:PM2  5  source  health  monitor
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