摘要
源解析方法可分为排放清单法、源模型法和受体模型法等,将受体模型与风、气团轨迹结合起来,形成混合轨迹受体模型。混合轨迹受体模型考虑了大气输送对受体点大气污染物的影响,主要用于研究大气污染源的扩散分布。这类模型方法包括风分析受体模型和后向轨迹受体模型,风分析受体模型包括条件概率函数、非参数回归、伪确定性受体模型;后向轨迹受体模型包括轨迹方位分析、潜在源贡献、简化的定量输送偏差分析以及轨迹质量平衡(或轨迹质量平衡回归)。本文概述了这些模型的原理、特点、发展及应用,并认为它们都能从不同方面成功解析本地大气颗粒物的外来影响源。
Source apportionment methods include the emission inventory method, source model approach and receptor model method, which combines the receptor model with wind and air trajectory to form a mixed track receptor model.This kind of method can be divided into two mainly groups: wind analysis, including conditional probability function,nonparametric regression and pseudo deterministic receptor model; and back trajectory analysis, including trajectory sector analysis, potential source contribution function, simplified quantitative transport bias analysis and trajectory mass balance(regression). This paper is a critical review of these models and their applications in ambient pollution source apportionment, and proposes that they are successful in ambient particle mass source apportionment.
引文
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