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Measurements of submicron particles vertical profiles by means of topographic relief in a typical valley city, China

机译:通过典型的山谷城市地形起伏法测量亚微米颗粒的垂直剖面

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摘要

To reveal PM1 vertical profiles and key affecting factors in a typical urban valley, daytime and nighttime PM1 (the particles with diameters less than 1 mu m) samples were collected with medium volume air samplers during 26 December 2017 to 11 January 2018 at five different altitudes by means of high topographic relief at urban areas of Lanzhou. The synchronous boundary layer temperature and humidity profiles were observed by a microwave radiometer. Daytime PM1 concentrations reduced by about 3.86 mu g m(-3) when the height above the surface increased by 100 m, which was much lower than that for nighttime (5.68 mu g m(-3 )100 m(-1)) as particles were easily accumulated near the surface when the air was stable during the nighttime. The three typical PM1 vertical profiles were identified by K-means clustering technique. The most frequent cluster with elevated PM1 concentrations near the surface was closely related to temperature inversion around the ground, while the cluster with relatively uniform PM1 within the boundary layer was mainly induced by unstable atmospheric stratification and thus relatively good vertical dispersion. About 50%-60% of PM1 variations could be attributed to atmospheric stratification near the surface in the valley city, which was much higher than that at the hilltop. The PM1 difference increased by 47.14 (36.91) mu g m(-3) when inversion layer thickness (intensity) increased by 100 m (1 degrees C 100 m(-1)). The newly calculated inversion index considering both inversion layer thickness and intensity explained about 87% of PM1 differences between near the surface and at the hilltop. The vertical dispersion had a more significant effect on PM1 than horizontal dispersion near the surface, while PM1 was more largely affected by horizontal dispersion at the hilltop, which was closely related to the valley terrain.
机译:为了揭示典型城市山谷中PM1的垂直剖面和主要影响因素,于2017年12月26日至2018年1月11日在五个不同的高度用中等容量的空气采样器收集了白天和夜间的PM1(直径小于1微米的颗粒)样品通过兰州市区的高地形起伏。用微波辐射计观察同步边界层的温度和湿度分布。当表面上方的高度增加100 m时,白天的PM1浓度降低了约3.86μgm(-3),这远远低于夜间的(5.68μgm(-3)100 m(-1))。夜间空气稳定时,容易在地表附近积聚。通过K-均值聚类技术确定了三个典型的PM1垂直剖面。地表附近PM1浓度升高的最常见簇与地面周围的温度反转密切相关,而边界层内PM1相对均匀的簇主要是由不稳定的大气分层引起的,因此垂直分散性也较好。大约50%-60%的PM1变化可归因于山谷城市地表附近的大气分层,远高于山顶的分层。当反型层厚度(强度)增加100 m(1摄氏度100 m(-1))时,PM1差增加47.14(36.91)g g(-3)。新计算的反演指数同时考虑了反演层的厚度和强度,解释了地表附近和山顶之间PM1差异的87%。垂直散布对PM1的影响比地表水平散布的影响更大,而PM1受山顶水平散布的影响更大,而山顶的水平散布与山谷地形密切相关。

著录项

  • 来源
    《Atmospheric environment》 |2019年第2期|102-113|共12页
  • 作者单位

    Chinese Acad Meteorol Sci, Key Lab Atmospher Chem CMA, Beijing 100081, Peoples R China;

    Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200433, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China;

    Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Gansu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    PM1; Vertical variations; Boundary layer; Valley city;

    机译:PM1;垂直变化;边界层;山谷城市;

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