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在北京以500米分辨率绘制每日PM,并提升雾霾天的表现。

Mapping daily PM at 500 m resolution over Beijing with improved hazy day performance.

作者信息

Xie Yuanyu, Wang Yuxuan, Bilal Muhammad, Dong Wenhao

机构信息

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Joint Center for Global Change Studies (JCGCS), Tsinghua University, Beijing 100084, China.

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Joint Center for Global Change Studies (JCGCS), Tsinghua University, Beijing 100084, China; Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA.

出版信息

Sci Total Environ. 2019 Apr 1;659:410-418. doi: 10.1016/j.scitotenv.2018.12.365. Epub 2018 Dec 27.

Abstract

The application of satellite-derived aerosol optical depth (AOD) to infer surface PM has significantly increased the spatial coverage and resolutions (1-10 km) of ground-level PM mapping as required for accurate exposure estimation. The remaining challenge is to further increase the mapping resolution to the sub-km level with improved algorithms to minimize misrepresentation of severe haze as clouds. In this study, we provide the first daily PM estimation over Beijing at a 500 m resolution using AOD from the Simplified Aerosol Retrieval Algorithm (SARA) and linear mixed effects model. A novel cloud screen method is developed which significantly improves data availability during hazy days. The cross-validation R for PM estimations is 0.82 with the cloud-screened SARA AOD. Based on the satellite-predicted high-resolution PM map, all-day population-weighted PM is estimated to be 81.4 μg m over Beijing (2.3 times higher than China's NAAQS of 35 μg m). Compared to the standard MODIS Dark Target 3 km product which presents a significant percentage of missing data, the 500 m resolution PM mapping derived from SARA AOD reveals distinct pollution patterns and population exposure conditions during severe hazy days, thereby providing valuable information for pollution control and epidemiological studies.

摘要

利用卫星反演的气溶胶光学厚度(AOD)来推断地表颗粒物(PM),显著增加了地面PM制图的空间覆盖范围和分辨率(1 - 10千米),以满足准确暴露评估的需求。剩下的挑战是通过改进算法将制图分辨率进一步提高到亚千米级别,以尽量减少将严重雾霾误判为云的情况。在本研究中,我们使用简化气溶胶反演算法(SARA)的AOD和线性混合效应模型,首次以500米分辨率提供了北京每日的PM估计值。开发了一种新颖的云屏蔽方法,该方法显著提高了雾霾天的数据可用性。经云屏蔽的SARA AOD用于PM估计的交叉验证R值为0.82。基于卫星预测的高分辨率PM地图,北京全天人口加权PM估计值为81.4微克/立方米(比中国35微克/立方米的国家空气质量标准高2.3倍)。与存在大量缺失数据的标准MODIS暗目标3千米产品相比,源自SARA AOD的500米分辨率PM制图揭示了严重雾霾天不同的污染模式和人群暴露状况,从而为污染控制和流行病学研究提供了有价值的信息。

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