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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烟霾污染的影响不明显

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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 (PM sub2.5/sub) in Beijing in winter (Beijing haze). We find that 81?% of the variance in observed monthly PM sub2.5/sub 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 PM sub2.5/sub , respectively, and thus have a clear causal link to Beijing haze. PC1 explains more of the variance in PM sub2.5/sub than either V850 or RH alone. Using additional meteorological variables does not explain more of the variance in PM sub2.5/sub . 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,二十一世纪的气候变化将大大恶化气象条件,导致北京冬季(北京雾霾)的细颗粒物(PM 2.5 )浓度很高。我们发现,在2010-2017年冬季,观测到的每月PM 2.5 的变化的81%可通过单一的气象模式来解释,这是850?hPa经向风速的第一主要成分(PC1) (V850)和相对湿度(RH)。 V850和RH分别驱动PM 2.5 的停滞和化学生成,因此与北京雾霾有着明显的因果关系。与单独的V850或RH相比,PC1解释了PM 2.5 中更多的方差。使用其他气象变量并不能解释PM 2.5 中更多的方差。因此,在解释长期的气候记录和未来的气候预测中,PC1可以替代北京的阴霾。先前的研究表明,北极海冰的缩小会加剧中国东部冬季的雾霾天气,但是我们通过PC1代理表明,北京的雾霾与北极海冰中的偶极结构有关,而不是与海冰总量有关。北京的霾也与太平洋海表温度(SSTs)的偶极子模式有关。我们发现,北极海冰和太平洋海温的这些偶极子模式在年代际尺度上移动和变化,因此它们不能可靠地用作雾度的未来预测因子。从气候模型CMIP5集合计算得出的PC1霾代理的21世纪未来趋势在统计上不重要。我们得出的结论是,气候变化不太可能大大抵消当前通过排放控制来减少北京霾的努力。

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