基于微波辐射计和气溶胶激光雷达的边界层高度研究及应用

黄俊; 廖碧婷; 沈子琦; 张志坚; 蓝静; 王春林

doi:10.16032/j.issn.1004-4965.2022.017

基于微波辐射计和气溶胶激光雷达的边界层高度研究及应用

doi: 10.16032/j.issn.1004-4965.2022.017

黄俊^{1, 2, 5},
廖碧婷³,
沈子琦¹,
张志坚⁴,
蓝静¹,
王春林^{1, 5, 6, ,}

1.
广州市气候与农业气象中心，广东广州 511430
2.
广州市气象台，广东广州 511430
3.
黄埔区气象局，广东广州 510530
4.
广州市突发事件预警信息发布中心，广东广州 511430
5.
中国气象局广州热带海洋气象研究所，广东广州 510641
6.
南方海洋科学与工程广东省实验室，广东珠海 519082

基金项目:

广州市科技计划项目 202002020065

广州市科技计划项目 202002020076

广东省科技计划项目 2019B121201002

广东省农业科技创新及推广项目 2020KJ102

详细信息

通讯作者:
王春林，男，江苏省人，研究员，博士，主要从事生态与环境气象研究。E-mail: 444217124@qq.com

中图分类号: P421.3
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- 文章访问数: 251
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- 被引次数: 0
出版历程
- 收稿日期: 2020-12-24
- 修回日期: 2022-02-18
- 网络出版日期: 2022-06-11
- 刊出日期: 2022-04-20

RESEARCH AND APPLICATION OF BOUNDARY LAYER HEIGHT BASED ON MICROWAVE RADIOMETER AND AEROSOL LIDAR

HUANG Jun^{1, 2, 5},
LIAO Biting³,
SHEN Ziqi¹,
ZHANG Zhijian⁴,
LAN Jing¹,
WANG Chunlin^{1, 5, 6
, ,}

1.
Guangzhou Climate and Agrometeorology Center, Guangzhou 511430, China
2.
Guangzhou Meteorological Observatory, Guangzhou 511430, China
3.
Meteorological Bureau of Huangpu District, Guangzhou 510530, China
4.
Guangzhou Emergency Warning Information Release Center, Guangzhou 511430, China
5.
Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510641, China
6.
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519082, China

摘要

摘要: 分别基于微波辐射计温湿度廓线资料的气块法、位温法和比湿法，地面气象资料的罗氏法及气溶胶激光雷达数据的梯度法，计算得出广州地区大气边界层高度，对比分析5种边界层高度结果及其与气象条件、空气质量之间的关系，结合典型大气污染过程分析边界层高度对PM_2.5、O₃浓度的影响。结果显示：（1）利用位温法、气块法、罗氏法、比湿法和梯度法计算得出广州地区平均边界层高度分别为2 207 m、1 239 m、901 m、717 m和660 m，位温法显著高估了广州地区的边界层高度；（2）利用气块法得出的混合层高度日变化能够较好地表征白天大气边界层演变特征，利用气块法和比湿法得出的白天混合层高度与近地面O₃浓度有显著的正相关关系，相关系数在0.5以上，在O₃污染防治中，应同时考虑边界层内垂直输送的影响；（3）利用梯度法得出的边界层高度在污染天气时与PM_2.5浓度的相关性较好，能较好地表现出大气污染情况，在PM_2.5污染天气过程分析中具有较好的应用价值。
- 微波辐射计 /
- 气溶胶激光雷达 /
- 边界层高度 /
- O₃
Abstract: Based on microwave radiometer temperature and humidity profile data, the atmospheric boundary layer height of Guangzhou was obtained by using the air parcel method, potential temperature method, specific humidity method, Roche method, and gradient method. The results of five kinds of boundary layer heights and their relationships with meteorological conditions and air quality were compared and analyzed, and the influence of boundary layer heights on PM_2.5 and O₃ concentrations were analyzed in combination with typical air pollution processes. The results showed that: (1) The average boundary layer height in Guangzhou calculated by using the potential temperature method, air parcel method, Rochel method, specific humidity method and gradient method is 2207 m, 1239 m, 901 m, 717 m and 660 m, respectively. The boundary layer height in Guangzhou is significantly overestimated by using the potential temperature method. (2) The diurnal variation of mixing layer height obtained by using the air parcel method can better characterize the evolution characteristics of the atmospheric boundary layer in the daytime. The daytime mixing layer height obtained by using the air parcel method and the specific humidity method has a significant positive correlation with the near-surface O₃ concentration, and the correlation coefficient is above 0.5. In the control of O₃ pollution, the influence of vertical transport in the boundary layer should be considered. (3) The boundary layer height obtained by using the gradient method has a good correlation with PM_2.5 concentration during pollution days, which can better show the atmospheric pollution, and can be applied to the analysis of PM_2.5 pollution process.
- microwave radiometer /
- aerosol lidar /
- boundary layer height /
- ozone

HTML全文

图 1 广州空气质量及气象要素逐时变化

下载: 全尺寸图片幻灯片

图 2 5种方法得到的逐时边界层高度变化(PBL_Parcel：气块法，PBL_Theta：位温法，PBL_q：比湿法，PBL_Lidar：激光雷达梯度法，PBL_LS：罗氏法，单位均为m)

下载: 全尺寸图片幻灯片

图 3 不同方法估算得到边界层高度日变化

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图 4 不同方法估算得到边界层高度总体对比

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图 5 PM_2.5浓度及激光雷达反演的大气边界层高度变化

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图 6 边界层高度与O₃浓度的变化

下载: 全尺寸图片幻灯片

表 1 气象条件与边界层高度的相关性分析

相关性	PBL_Parcel	PBL_Theta	PBL_Q	PBL_LS	PBL_Lidar
风速	0.428^*	0.196^*	0.006	0.375^*	0.003
气温	0.71^*	0.373^*	0.140^*	0.326^*	0.012
降水	-0.091^*	-0.183^*	-0.026	-0.062^*	0.09^*
相对湿度	-0.744^*	-0.14^*	-0.55^*	-0.574^*	-0.074^*
注：^*表示为通过0.05的显著性检验。

下载: 导出CSV

表 2 边界层高度与空气质量的相关性分析

相关系数	PM_2.5	PM₁₀	SO₂	NO₂	CO	O₃	AQI	O_3-15
PBL_Parcel	0.092^*	0.102^*	0.205^*	-0.460^*	-0.204^*	0.633^*	0.352^*	0.729^*
PBL_Theta	-0.275^*	-0.267^*	-0.191^*	-0.379^*	-0.308^*	0.042	-0.107^*	0.119
PBL_Qt	0.336^*	0.372^*	0.334^*	0.013	0.073	0.498^*	0.423^*	0.573^*
PBL_LS	0.058	0.102^*	0.173^*	-0.263^*	-0.157^*	0.408^*	0.172^*	0.110
PBL_Lidar	0.212^*	0.204^*	0.112^*	0.093^*	0.157^*	0.165^*	0.169^*	0.182
注：^*表示为通过0.05的显著性检验；O₃_15列为每天15时的O₃浓度和混合层高度的相关系数。

下载: 导出CSV

表 3 一次污染过程O₃浓度与混合层高度的相关性分析

相关系数	PBL_Parcel	PBL_Theta	PBL_Q	PBL_LS	PBL_Lidar
O₃浓度	0.671^*	0.325^*	0.392^*	0.392^*	-0.054
注：^*表示为通过0.05的显著性检验。

下载: 导出CSV

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