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中国中东部地区冬季雾霾发生的年代际变化与太平洋年代际振荡有关。

Decadal variability in the occurrence of wintertime haze in central eastern China tied to the Pacific Decadal Oscillation.

作者信息

Zhao Sen, Li Jianping, Sun Cheng

机构信息

College of Global Change and Earth System Science (GCESS), Beijing Normal University, Beijing 100875, China.

Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China.

出版信息

Sci Rep. 2016 Jun 10;6:27424. doi: 10.1038/srep27424.

DOI:10.1038/srep27424
PMID:27282140
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4901280/
Abstract

Haze is a serious issue in China with increasing concerns, and understanding the factors driving decadal-scale variations in haze occurrence is relevant for government policymaking. Using a comprehensive observational haze dataset, we demonstrate notable decadal fluctuations in the number of haze days (HD) during winter in central eastern China, showing a decline since the mid-1980s. The leading mode of the wintertime HD features an increasing trend for 1959-2012 in eastern China, highly correlated with China's gross domestic product (GDP) that represents increasing trend of pollutant emissions, and to a lesser extent meteorological factors. The second mode shows decadal variations in central eastern China associated with Pacific Decadal Oscillation (PDO). Observations and numerical simulations suggest that Mongolia High and corresponding descending motion tend to be enhanced (weakened) in central eastern China during the positive (negative) phase of PDO. With PDO shifting towards a negative phase, the weakened Mongolia High and ascending anomalies make the air unstable and conduce to the spread of pollutants, leading to the decline in the wintertime HD over central eastern China since the mid-1980s. Based on above physical mechanisms, a linear model based on PDO and GDP metrics provided a good fit to the observed HD.

摘要

雾霾是中国一个日益受到关注的严重问题,了解驱动雾霾发生年代际变化的因素对政府决策具有重要意义。利用一个综合的观测雾霾数据集,我们展示了中国中东部冬季雾霾天数(HD)显著的年代际波动,自20世纪80年代中期以来呈下降趋势。冬季HD的主导模式显示,1959 - 2012年中国东部呈上升趋势,与代表污染物排放增加趋势的中国国内生产总值(GDP)高度相关,在较小程度上与气象因素相关。第二种模式显示了中国中东部与太平洋年代际振荡(PDO)相关的年代际变化。观测和数值模拟表明,在PDO的正(负)相位期间,蒙古高压及相应的下沉运动在中国中东部往往会增强(减弱)。随着PDO转向负相位,减弱的蒙古高压和上升异常使空气不稳定,有利于污染物扩散,导致自20世纪80年代中期以来中国中东部冬季HD下降。基于上述物理机制,一个基于PDO和GDP指标的线性模型与观测到的HD拟合良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/bd5477d5b1a2/srep27424-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/1d7b75e1d159/srep27424-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/79953b98b8a0/srep27424-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/cd5eff199d0d/srep27424-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/9ef0101ab854/srep27424-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/8fedbcb63f4a/srep27424-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/bd5477d5b1a2/srep27424-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/1d7b75e1d159/srep27424-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/79953b98b8a0/srep27424-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/cd5eff199d0d/srep27424-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/9ef0101ab854/srep27424-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/8fedbcb63f4a/srep27424-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a91/4901280/bd5477d5b1a2/srep27424-f6.jpg

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