研究报告

  • 彭爽,康平,张小玲,Klaus Schaefer,袁亮,向卫国,雷雨.成都市大气颗粒物粒径分布及其对能见度的影响[J].环境科学学报,2020,40(12):4432-4441

  • 成都市大气颗粒物粒径分布及其对能见度的影响
  • Size distribution of atmospheric particles in Chengdu and its influence on visibility
  • 基金项目:四川省重大科技专项课题(No.2018SZDZX0023);国家重点研发计划(No.2018YFC0214001,2018YFC0214002);四川省科技计划重大前沿项目(No.2018JY0011);四川省国(境)外高端人才引进项目(No.SYZ201974);四川省教育厅理科重点项目(No.18ZA0086)
  • 作者
  • 单位
  • 彭爽
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • 康平
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • 张小玲
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • Klaus Schaefer
  • 1. 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225;2. 卡尔斯鲁厄理工学院, 气象气候与大气环境研究所, 加尔米施-帕滕基兴 82494
  • 袁亮
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • 向卫国
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • 雷雨
  • 成都信息工程大学大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
  • 摘要:使用环境颗粒物分析仪(GRIMM180)对成都市2018年10月—2019年9月0.25~32 μm的大气颗粒物数浓度粒径分布进行观测,结合细颗粒物(PM2.5)质量浓度以及相对湿度(RH)、能见度、降水量等气象要素数据,分析了成都市大气颗粒物粒径分布及其与能见度的关系.结果表明,观测期间成都市大气颗粒物以细粒子为主,0.25~0.5 μm的粒子数浓度占总数浓度的97.75%,数浓度谱呈单峰分布,2018年秋季、2019年夏季表面积谱呈双峰分布,2018年冬季、2019年春季表面积谱呈三峰,体积谱均为三峰分布;在不同RH区间,PM2.5质量浓度及数浓度均与能见度呈负相关,且其中0.25~0.5 μm粒径段的细颗粒物因为对可见光波段的米散射效应而对能见度产生较大影响;在不同RH情况下,不同粒径段颗粒物数浓度对能见度的影响程度有所差别:在低RH(<70%)下,0.25~0.3 μm粒径段粒子数浓度对能见度影响最大;在中等RH(70%~80%)下,0.3~0.5 μm粒径段粒子数浓度对能见度的影响最大;而在高RH(>80%)下,0.3~0.5 μm和0.5~1 μm粒径段粒子数浓度对能见度影响相当.
  • Abstract:In order to analyze the particle size distribution of atmospheric particles and its relationship with visibility, an environmental particulate matter analyzer (GRIMM180) was used to observe the particle number concentration and size distribution (0.25~32 μm) in Chengdu from October 2018 to September 2019, combining the mass concentration of fine particulate matter (PM2.5) and meteorological data (i.e. relative humidity (RH), visibility, and precipitation). The results showed that, during the observation period, the particle number concentration of 0.25~0.5 μm accounted for 97.75% of the total concentration (dominated by fine particles), and the number concentration spectrum showed a unimodal distribution. In summer 2019 and fall 2018, the surface area spectrum showed a double peak distribution; while in winter 2018 and spring 2019, the surface area spectrum showed a three-peak distribution. And the volume spectrum was three peak distribution in each season. In different RH intervals, PM2.5 mass concentration and number concentration were negatively correlated with visibility, and fine particles in the 0.25~0.5 μm particle size range had the greatest impact on visibility due to the Mie scattering in the visible light band. Under different RH conditions, the impact of particle number concentration in different particle size bands on visibility varies: at low RH (<70%), the number concentration of particle in 0.25~0.3 μm had the greatest effect on visibility; in the medium RH (70%~80%), the number concentration of particle in 0.3~0.5 μm had the largest effect on visibility; at high RH (80%), the number concentration of particle in 0.3~0.5 μm and 0.5~1 μm had a similar effect on visibility.

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