利用风廓线雷达资料对北京地区边界层日变化特征的分析研究

大气与环境光学学报 ›› 2017, Vol. 12 ›› Issue (1): 1-7.

• “先进环境监测技术与设备”专辑 • 下一篇

利用风廓线雷达资料对北京地区边界层日变化特征的分析研究

张舒婷1，苏德斌2，徐文静1，韦涛1

（1 中国气象局北京城市气象研究所，北京，100089；
2 成都信息工程大学，四川成都，610225）

收稿日期:2016-07-04 修回日期:2016-11-15 出版日期:2017-01-28 发布日期:2017-01-13
通讯作者: 张舒婷 (1987-)，女，内蒙古呼和浩特人，博士，工程师，主要从事大气物理与大气环境、风廓线雷达探测与技术支持方面的研究。 E-mail:zhangst_15@163.com
作者简介:张舒婷 (1987-)，女，内蒙古呼和浩特人，博士，工程师，主要从事大气物理与大气环境、风廓线雷达探测与技术支持方面的研究。
基金资助:
Supported by National High Technology Research and Development Program of China(国家863计划, 2014AA06A512)

Analysis and Research on Daily Variation Characteristics of Boundary Layer in Beijing Area by Wind Profile Radar Data

ZHANG Shuting1, SU Debin2, XU Wenjing1, WEI Tao1

(1 Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China;
2 Chengdu University of Information and Technology, Chengdu 610225, China )

Received:2016-07-04 Revised:2016-11-15 Published:2017-01-28 Online:2017-01-13

摘要/Abstract

摘要：

利用2015年全年AQI和风廓线雷达资料，对北京地区严重污染天气条件下的边界层日变化特征进行分析。结论表明：（1）严重污染天气水平风速很小，尤其在近地面风速接近0 m/s，全天垂直风速分布平均，各层过渡平缓，边界层非常稳定，几乎没有起伏。（2）高浓度污染物的存在阻挡了太阳辐射对地面的传输，同时地表的长波辐射也难以向上扩散，积累到一定程度才会向上发展。缺少热动力使得边界层更加稳定，不利于污染物扩散，形成稳定边界层利于污染天气维持。这一过程形成了污染物与稳定边界层互相促进的恶性循环。（3）风场的动力作用不足，热力湍流起主导作用，湍流强度相比晴空天气要小很多。

关键词: 大气探测, 边界层演变特征, 风廓线雷达, 折射率结构常数

Abstract:

Based on the data of AQI and wind profiler for the whole year of 2015, the daily variation characteristics of boundary layer under severe polluted weather conditions in Beijing were analyzed. The results show that: (1) Wind speed is very small at severe pollution weather, especially near-surface wind speed is nearly 0 m/s. Vertical wind velocity is evenly distributed, Layer is gentle and boundary layer is stable and almost undulating. (2) The existence of high concentrations of pollutants blocked the transmission of solar radiation on the ground, while the surface of the long-wave radiation is difficult to spread, it will be accumulated to the development when upward to a certain extent. The lack of thermal power makes the boundary layer more stable. The stable boundary layer is not conducive to the spread of pollutants, and the formation of a stable boundary layer is conducive to pollution weather maintenance. This process forms a vicious circle of mutual promotion between pollutants and stable boundary layers. (3) The dynamical effect of the wind field is insufficient, the thermal turbulence plays the leading role, and the turbulence intensity is much smaller than that of the clear sky.

Key words: atmospheric exploration, boundary layer evolution characteristics, wind profile radar, refractive index structure constant

中图分类号:

P412

张舒婷, 苏德斌, 徐文静, 韦涛. 利用风廓线雷达资料对北京地区边界层日变化特征的分析研究[J]. 大气与环境光学学报, 2017, 12(1): 1-7.

ZHANG Shu-Ting, SU De-Bin, XU Wen-Jing, WEI Tao. Analysis and Research on Daily Variation Characteristics of Boundary Layer in Beijing Area by Wind Profile Radar Data[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(1): 1-7.

参考文献

[1] Stull R B. An Introduction to Boundary layer Meteorology [M]. Qingdao: Qingdao Ocean University Press, 1991: 1-17(in Chinese).
Stull R B. 边界层气象学导论 [M]. 青岛: 青岛海洋大学出版社，1991: 1-17.
[2] Garratt J R. Sensitivity of climate simulations to land-surface and atmospheric boundary-layer treatments-A review [J]. J. Clim., 1993, 6(3): 419-448.
[3] Coulter R L, Holdridge D H. A procedure for the automatic estimation of mixed layer height [C]. Proc. Eighth Atmospheric Radiation Measurement (ARM) Program Science Team Meeting, 1998: 177-180.
[4] Hooper W P, Eloranta E. Lidar measurements of wind in the planetary boundary layer: the method, accuracy and results from joint measurements with radiosonde and kytoon [J]. J. Clim. Appl. Meteor., 1986, 25(7): 990-1001.
[5] Basha G, Ratnam M V. Identification of atmospheric boundary layer height over a tropical station using high-resolution radiosonde refractivity profiles: comparison with GPS radio occultation measurements [J]. J. Geophys. Res., 2009, 114: D16101.
[6] Xie F, Wu D, Ao C O, et al. Advances and limitations of atmospheric boundary observations with GPS occultation over southeast Pacific Ocean [J]. Atmos. Chem. Phys., 2012, 12(2): 903-918.
[7] Friehe C A. Review of atmospheric boundary layer research, 1983-1986 [J]. Rev. Geophys., 1987, 25(3): 387-392.
[8] Gautam R, Hsu N C, Kafatos M, et al. Influences of winter haze on fog/low cloud over the Indo-Gangetic plains [J]. J. Geophys. Res., 2007, 112: D05207.
[9] Angevine W M, White A B, Avery S. Boundary-layer depth and entrainment zone characterization with a boundary-layer profiler [J]. Bound. Lay. Meteorol., 1994, 68(4): 375-385.
[10] Xie B, Fung J C H, Chan A, et al. Evaluation of nonlocal and local planetary boundary layer schemes in the WRF model [J]. J. Geophys. Res., 2012, 117: D12103.
[11] Simpson M, Raman S, Lundquist J K, et al. A study of the variation of urban mixed layer heights [J]. Atmos. Environ., 2007, 41(33): 6923-6930.
[12] Raghavan S. Radar Meteorology [M]. New York: Springer, 2003.
[13] Singh N, Joshi R R, Chun H Y, et al. Seasonal, annual and inter-annual features of turbulence parameter over the tropical station Pune observed with UHF wind profiler [J]. Ann. Geophys., 2008, 26(12): 3677-3692.
[14] Ruan Zheng, He Ping, Ge Runsheng. Determination of refractive index structure constant with wind profile radar data [J]. Chinese Journal of Atmospheric Sciences, 2008, 32(1): 133-140(in Chinese).
阮征，何平，葛润生. 风廓线雷达对大气折射率结构常数的探测研究 [J]. 大气科学, 2008, 32(1):133-140.
[15] Sun Gang, Weng Ningquan, Xiao Liming. Daily variation analysis of atmospheric turbulence profile in Hefei [J]. Journal of Atmospheric and Environmental Optics, 2007, 2(2): 94-98(in Chinese).
孙刚，翁宁泉，肖黎明. 合肥地区大气湍流随高度分布日变化特性分析 [J]. 大气与环境光学学报，2007, 2(2): 94-98.

利用风廓线雷达资料对北京地区边界层日变化特征的分析研究

Analysis and Research on Daily Variation Characteristics of Boundary Layer in Beijing Area by Wind Profile Radar Data

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	耿丹, 赵增亮, 范志强, 吴作伟, 李东阳, 张向星 . 利用气象火箭探测资料估算戈壁地区高空折射率结构常数廓线[J]. 大气与环境光学学报, 2023, 18(2): 99-107.
[2]	孙刚, 翁宁泉, 肖黎明, 刘庆, 李学彬. 典型地区大气湍流高度分布特性与模式研究[J]. 大气与环境光学学报, 2018, 13(6): 425-.
[3]	田晓敏刘东徐继伟王珍珠王邦新吴德成钟志庆谢晨波王英俭. 大气探测激光雷达技术综述[J]. 大气与环境光学学报, 2018, 13(5): 321-341.
[4]	孙凤萤梅海平武鹏飞饶瑞中. 地基天空背景辐射测量技术及其应用研究现状与展望[J]. 大气与环境光学学报, 2017, 12(2): 81-92.
[5]	孙振远孙刚刘庆李学彬翁宁泉. 近地层大气光学湍流自动观测系统[J]. 大气与环境光学学报, 2017, 12(2): 109-113.
[6]	肖铃刘东王英俭王珍珠谢晨波. 大气探测激光雷达自动准直方法综述[J]. 大气与环境光学学报, 2016, 11(3): 161-171.
[7]	青春王海涛汪平吴晓庆. 成都地区近地面大气折射率结构常数的统计分析[J]. 大气与环境光学学报, 2015, 10(5): 368-375.
[8]	黄文娟崔文煜易维宁孙斌胡亚东. 多光谱偏振大气探测系统定标处理[J]. 大气与环境光学学报, 2015, 10(4): 350-356.
[9]	吕炜煜苑克娥魏旭胡顺星王建国. 华南山区秋冬季节大气光学湍流初步测量分析[J]. 大气与环境光学学报, 2015, 10(3): 216-223.
[10]	吕炜煜苑克娥谈斌魏合理魏旭封双连姚东升邵士勇胡顺星. 闽西地区秋冬季节近地面大气折射率结构常数特性分析[J]. 大气与环境光学学报, 2013, 8(1): 18-25.
[11]	杨靖文李昂谢品华赵雪松吴丰成王杨. 被动DOAS污染源遥测中MM5风场数据准确性的研究[J]. 大气与环境光学学报, 2012, (5): 338-347.
[12]	朱行听,吴晓庆,李多扬 . 三维超声风速仪测量近地面湍流谱及C_n²的初步研究[J]. 大气与环境光学学报, 2012, 7(1): 6-12.
[13]	朱庚华张彩云翁宁泉孙刚刘庆 . 利用风廓线雷达测量数据反演大气湿度廓线[J]. 大气与环境光学学报, 2011, 6(5): 336-341.
[14]	赵乐至刘小勤卢伟. 温度脉动仪标定装置的初步设计[J]. 大气与环境光学学报, 2011, 6(4): 294-298.
[15]	孙刚翁宁泉肖黎明. 大气折射率结构常数Cn2高度分布统计特性分析[J]. 大气与环境光学学报, 2011, 6(2): 83-.