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Insignificant effect of climate change on winter haze pollution in Beijing

机译:气候变化对北京冬季阴霾污染的微不足道的影响

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Several recent studies have suggested that 21st century climate change will significantly worsen the meteorological conditions, leading to very high concentrations of fine particulate matter (PM2.5) in Beijing in winter (Beijing haze). We find that 81% of the variance in observed monthly PM2.5 during 2010-2017 winters can be explained by a single meteorological mode, the first principal component (PC1) of the 850 hPa meridional wind velocity (V850) and relative humidity (RH). V850 and RH drive stagnation and chemical production of PM2.5, respectively, and thus have a clear causal link to Beijing haze. PC1 explains more of the variance in PM2.5 than either V850 or RH alone. Using additional meteorological variables does not explain more of the variance in PM2.5. Therefore PC1 can serve as a proxy for Beijing haze in the interpretation of long-term climate records and in future climate projections. Previous studies suggested that shrinking Arctic sea ice would worsen winter haze conditions in eastern China, but we show with the PC1 proxy that Beijing haze is correlated with a dipole structure in the Arctic sea ice rather than with the total amount of sea ice. Beijing haze is also correlated with dipole patterns in Pacific sea surface temperatures (SSTs). We find that these dipole patterns of Arctic sea ice and Pacific SSTs shift and change sign on interdecadal scales, so that they cannot be used reliably as future predictors for the haze. Future 21st century trends of the PC1 haze proxy computed from the CMIP5 ensemble of climate models are statistically insignificant. We conclude that climate change is unlikely to significantly offset current efforts to decrease Beijing haze through emission controls.
机译:最近的几项研究表明,21世纪的气候变化将显着恶化气象条件,导致冬季北京的非常高浓度的细颗粒物质(PM2.5)(北京阴霾)。我们发现,2010-2017冬季观察到的每月PM2.5中的81%的差异可以通过单一的气象模式来解释,850 HPA化学风速(V850)和相对湿度(RH)的第一主成分(PC1)。 )。 V850和RH驱动器的停滞和化学生产分别为PM2.5,因此具有明显的因果关系,北京雾霾。 PC1仅解释了PM2.5的更多方差,而不是单独的V850或RH。使用其他气象变量无法解释PM2.5中的更多方差。因此,PC1可以作为北京阴霾的代理,以解释长期气候记录和未来的气候预测。以前的研究表明,北极海冰会恶化中国的冬季阴霾条件,但我们展示了北京阴霾与北极海冰中的偶极结构相关的PC1代理,而不是海冰总量。北京阴霾也与太平洋海景温度(SST)的偶极图案相关联。我们发现,北极海冰和太平洋SSTS的偶极模式转变和改变签署的跨越式鳞片,因此它们不能可靠地作为阴霾的未来预测因子。未来21世纪从气候模型的CMIP5集合计算的PC1 Haze代理的趋势是统计上微不足道的。我们得出结论,气候变化不太可能大大抵消当前通过排放控制减少北京雾气的努力。

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