Department of Civil and Environmental Engineering , The Hong Kong University of Science and Technology , Clear Water Bay , Hong Kong , China.
HKUST Jockey Club Institute for Advanced Study , The Hong Kong University of Science and Technology , Clear Water Bay , Hong Kong , China.
Environ Sci Technol. 2019 Jan 15;53(2):808-819. doi: 10.1021/acs.est.8b04474. Epub 2018 Dec 28.
Ambient PM concentrations measured at fixed site monitors (FSM) are often biased with respect to exposure concentrations because of spatial variability and infiltration. Based on comparison of ambient concentrations from 14 FSMs and of exposure concentrations measured indoors and outdoors at two schools in Hong Kong for winter and summer seasons, the magnitude and sources of exposure error based on using FSMs as a surrogate for exposure are quantified. An approach for bias correcting surrogate exposure estimates from FSMs is demonstrated. The approach is based on a proximity factor (PF) that accounts for differences in spatial locations, proximity to emissions and deviation from dominant wind direction, and an infiltration factor (IF) that varies by season. The combination of the PF and IF reduce bias in mean school exposure estimates from ±90% to ±20%. Bias in exposure estimates from using FSMs as surrogates tend to be smaller for which the exposure site and FSM are aligned with wind direction, have similar sampling height, and are in close proximity. The methodology demonstrated to assess concordance between FSMs and exposure measurement sites can be applied more broadly to help reduce exposure error, which may help to interpret seasonal variations in health estimates.
由于空间变异性和渗透作用,固定监测站(FSM)测量的环境 PM 浓度通常与暴露浓度存在偏差。本研究通过比较香港两所学校冬季和夏季的 14 个 FSM 测量的环境浓度以及室内外暴露浓度,量化了基于 FSM 作为暴露替代物的暴露误差的大小和来源。本文还展示了一种用于纠正 FSM 替代暴露估计值偏差的方法。该方法基于接近度因子(PF),该因子考虑了空间位置、与排放源的接近程度以及与主导风向的偏差等差异,以及随季节变化的渗透因子(IF)。PF 和 IF 的组合将学校暴露估计值的平均偏差从±90%降低至±20%。当暴露点和 FSM 与风向一致、具有相似的采样高度且彼此靠近时,使用 FSM 作为替代物进行暴露估计的偏差往往较小。本文演示的评估 FSM 和暴露测量点之间一致性的方法可以更广泛地应用,以帮助减少暴露误差,这可能有助于解释健康估计值的季节性变化。