A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China.
A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China.
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DOI：
10.1016/j.envint.2023.107740
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发表时间：
2023-01
影响因子：
11.8
通讯作者：
Liu, Yang
中科院分区：
文献类型：
--
作者：
Meng, Xia;Hang, Yun;Lin, Xiuran;Li, Tiantian;Wang, Tijian;Cao, Junji;Fu, Qingyan;Dey, Sagnik;Huang, Kan;Liang, Fengchao;Kan, Haidong;Shi, Xiaoming;Liu, Yang
关键词：
大气细颗粒物（PM2.5）污染是中国面临的重大环境和公共卫生挑战。近十年来，PM2.5水平下降主要是由于燃煤电厂和工业设施大规模脱硫工作导致的颗粒硫酸盐减少。新出现的证据也指出了影响人类健康的颗粒硫酸盐的不同毒性。然而，由于中国尚未建立PM2.5组分的地面监测网络，因此很难估计硫酸盐的长期时空趋势。诸如多角度成像分光辐射计仪器等星载传感器可提供关于浮质大小和类型的补充信息。在最先进的机器学习技术的帮助下，我们开发了一个硫酸盐预测模型，该模型得到了可用地面测量、MISR检索的气溶胶微物理特性和大气再分析数据的支持，空间分辨率为0.1°。我们的硫酸盐模型表现良好，每日水平的袋外交叉验证R2为0.68，每月水平为0.93。我们发现，2013年《大气污染防治行动计划》实施前，全国人口加权硫酸盐平均浓度相对稳定，在10.4 ~ 11.5 μg m−3之间。但硫酸盐水平在2018年急剧下降至7.7 μg m−3，2013年至2018年的变化率为-28.7%。相应地，硫酸盐导致的非意外和心肺死亡的年平均总数分别下降了40.7%和42.3%。长期、全覆盖的硫酸盐水平估计将支持未来评估空气质量政策和了解颗粒硫酸盐对健康的不利影响的研究。
Ambient fine particulate matter (PM2.5) pollution is a major environmental and public health challenge in China. In the recent decade, the PM2.5 level has decreased mainly driven by reductions in particulate sulfate as a result of large-scale desulfurization efforts in coal-fired power plants and industrial facilities. Emerging evidence also points to the differential toxicity of particulate sulfate affecting human health. However, estimating the long-term spatiotemporal trend of sulfate is difficult because a ground monitoring network of PM2.5 constituents has not been established in China. Spaceborne sensors such as the Multi-angle Imaging SpectroRadiometer (MISR) instrument can provide complementary information on aerosol size and type. With the help of state-of-the-art machine learning techniques, we developed a sulfate prediction model under support from available ground measurements, MISR-retrieved aerosol microphysical properties, and atmospheric reanalysis data at a spatial resolution of 0.1°. Our sulfate model performed well with an out-of-bag cross-validation R2 of 0.68 at the daily level and 0.93 at the monthly level. We found that the national mean population-weighted sulfate concentration was relatively stable before the Air Pollution Prevention and Control Action Plan was enforced in 2013, ranging from 10.4 to 11.5 μg m−3. But the sulfate level dramatically decreased to 7.7 μg m−3 in 2018, with a change rate of −28.7 % from 2013 to 2018. Correspondingly, the annual mean total non-accidental and cardiopulmonary deaths attributed to sulfate decreased by 40.7 % and 42.3 %, respectively. The long-term, full-coverage sulfate level estimates will support future studies on evaluating air quality policies and understanding the adverse health effect of particulate sulfate.
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DOI：
10.1016/s0140-6736(17)30505-6
发表时间：
2017-05-13
期刊：
Lancet (London, England)
影响因子：
--
作者：
Cohen AJ;Brauer M;Burnett R;Anderson HR;Frostad J;Estep K;Balakrishnan K;Brunekreef B;Dandona L;Dandona R;Feigin V;Freedman G;Hubbell B;Jobling A;Kan H;Knibbs L;Liu Y;Martin R;Morawska L;Pope CA 3rd;Shin H;Straif K;Shaddick G;Thomas M;van Dingenen R;van Donkelaar A;Vos T;Murray CJL;Forouzanfar MH
通讯作者：
Forouzanfar MH
中国空气污染防治行动计划对健康的影响：全国空气质量监测和死亡率数据分析。
影响因子：
25.7
作者：
Huang, Jing;Pan, Xiaochuan;Li, Guoxing
通讯作者：
Li, Guoxing
影响因子：
11.8
作者：
Meng, Xia;Hand, Jenny L.;Liu, Yang
通讯作者：
Liu, Yang
影响因子：
8.8
作者：
Chen, Yun;Chen, Renjie;Fu, Chaowei
通讯作者：
Fu, Chaowei
DOI：
10.1073/pnas.1803222115
发表时间：
2018-09-18
影响因子：
11.1
作者：
Burnett R;Chen H;Szyszkowicz M;Fann N;Hubbell B;Pope CA 3rd;Apte JS;Brauer M;Cohen A;Weichenthal S;Coggins J;Di Q;Brunekreef B;Frostad J;Lim SS;Kan H;Walker KD;Thurston GD;Hayes RB;Lim CC;Turner MC;Jerrett M;Krewski D;Gapstur SM;Diver WR;Ostro B;Goldberg D;Crouse DL;Martin RV;Peters P;Pinault L;Tjepkema M;van Donkelaar A;Villeneuve PJ;Miller AB;Yin P;Zhou M;Wang L;Janssen NAH;Marra M;Atkinson RW;Tsang H;Quoc Thach T;Cannon JB;Allen RT;Hart JE;Laden F;Cesaroni G;Forastiere F;Weinmayr G;Jaensch A;Nagel G;Concin H;Spadaro JV
通讯作者：
Spadaro JV