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Spectral analysis of weekly variation in PM10 mass concentration and meteorological conditions over China

机译:中国PM10质量浓度和气象条件每周变化的光谱分析

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摘要

This study investigates the region-dependent anthropogenic weekly variation in air pollutants and its relationship with the meteorological conditions over China for the summers of 2001-2005. Spectral analysis was applied to the local daily observations of PM10 (aerosol particulate matter with a diameter < 10 μm) mass concentrations and precipitation from 31 ground stations, reanalysis estimates of regional atmospheric variables, and satellite retrievals of clouds. Our analysis shows that the 6-8-day variance of PM10 concentrations from the periodogram is closely correlated with the mean PM10 concentration, which may depend on the size (population) and geographical setting of a city, its prevailing climatic conditions, and the type/degree of human activities. We define normalized variance as the ratio of the 6-8-day to 2-14-day variance of PM10 concentrations, possibly indicating the relative anthropogenic signal to the noise of natural weather variability. The normalized variance of PM10 concentrations has a distinct regional rainfall distribution from that of the mean PM10 concentration in China. As compared to regions with lower normalized variance of PM10 concentrations, the regions with higher normalized variance generally show higher normalized variance of rainfall events, 1000hPa wind speeds, sea-level pressure, size spectrum and phase of cloud particles, cloud optical depth, and cloud top pressure. Our results confirm the presence of the interaction between PM10 and the meteorological conditions in the boundary layer, and suggest a possible link of cloud formation to PM10 on a weekly scale.
机译:本研究调查了2001-2005年夏季中国空气污染物的区域性人为每周变化及其与气象条件的关系。光谱分析应用于本地每日观测的31个地面站的PM10(直径<10μm的气溶胶颗粒物质)质量浓度和降水,区域大气变量的重新分析估计以及卫星云的检索。我们的分析表明,周期图中PM10浓度的6-8天变化与PM10的平均浓度密切相关,这可能取决于城市的规模(人口)和地理环境,其主要气候条件以及类型/人类活动的程度。我们将归一化方差定义为PM10浓度在6-8天与2-14天之间变化的比率,这可能表明相对人为信号相对于自然天气变化的噪声。 PM10浓度的归一化方差与中国PM10的平均浓度具有明显的区域降雨分布。与PM10浓度归一化方差较低的区域相比,归一化方差较高的区域通常表现出降雨事件,1000hPa风速,海平面压力,云颗粒的尺寸谱和相位,云的光学深度和云的归一化方差更高。最高压力。我们的研究结果证实了PM10与边界层气象条件之间相互作用的存在,并暗示了每周一次云与PM10形成可能的联系。

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