激光与光电子学进展, 2017, 54 (1): 010101, 网络出版: 2017-01-17   

基于激光雷达的京津冀地区大气边界层高度特征研究 下载: 1014次

Characteristics of Boundary Layer Height in Jing-Jin-Ji Area Based on Lidar
作者单位
1 中国科学院安徽光学精密机械研究所环境光学与技术重点实验室, 安徽 合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
引用该论文

吕立慧, 刘文清, 张天舒, 董云升, 陈臻懿, 范广强, 刘洋, 项衍. 基于激光雷达的京津冀地区大气边界层高度特征研究[J]. 激光与光电子学进展, 2017, 54(1): 010101.

Lü Lihui, Liu Wenqing, Zhang Tianshu, Dong Yunsheng, Chen Zhenyi, Fan Guangqiang, Liu Yang, Xiang Yan. Characteristics of Boundary Layer Height in Jing-Jin-Ji Area Based on Lidar[J]. Laser & Optoelectronics Progress, 2017, 54(1): 010101.

参考文献

[1] Stull R B. An introduction to boundary layer meteorology[M]. Norwell: Kluwer Acad, 1988.

[2] 祝存兄, 曹念文, 扬丰恺, 等. 南京地区微脉冲激光雷达气溶胶观测[J]. 激光与光电子学进展, 2015, 52(5): 050101.

    Zhu Cunxiong, Cao Nianwen, Yang Fengkai, et al. Micro pulse lidar observations of aerosols in Nanjing[J]. Laser & Optoelectronics Progress, 2015, 52(5): 050101.

[3] 伯广宇, 刘 东, 吴德成, 等. 双波长激光雷达探测典型雾霾气溶胶的光学和吸湿性质[J]. 中国激光, 2014, 41(1): 0113001.

    Bo Guangyu, Liu Dong, Wu Decheng, et al. Two-wavelength lidar for observation of aerosol optical and hygroscopic properties in fog and haze days[J]. Chinese J Lasers, 2014, 41(1): 0113001.

[4] 季承荔, 陶宗明, 胡顺星, 等. 三波长激光雷达探测卷云有效激光雷达比[J]. 中国激光, 2016, 43(8): 0810003.

    Ji Chengli, Tao Zongming, Hu Shunxing, et al. The effective lidar ratio of cirrus cloud measured by three-wavelength lidar[J]. Chinese J Lasers, 2016, 43(8): 0810003.

[5] 项 衍, 叶擎昊, 刘建国, 等. 基于图像边缘检测法反演大气边界层高度[J]. 中国激光, 2016, 43(7): 0704003.

    Xiang Yan, Ye Qinghao, Liu Jianguo, et al. Retrieve of planetary boundary layer height based on image edge detection[J]. Chinese J Lasers, 2016, 43(7): 0704003.

[6] Menut L, Flamant C, Pelon J, et al. Urban boundary layer height determination from lidar measurements over the Paris area[J]. Applied Optics, 1999, 38(6): 945-954.

[7] Chen Z, Zhang J, ZhangT, et al. Haze observation by simultaneous lidar and WPS in Beijing before and during APEC, 2014 [J]. Science China Chemistry, 2015, 58(9): 1385-1392.

[8] 范广强, 张天舒, 付毅宾, 等. 差分吸收激光雷达监测北京灰霾天臭氧时空发布特征[J]. 中国激光, 2014, 41(10): 1014003.

    Fan Guangqiang, Zhang Tianshu, Fu Yibin, et al. Temporal and spatial distribution characteristics of ozone based on differential absorption lidar in Beijing[J]. Chinese J Lasers, 2014, 41(10): 1014003.

[9] 王 琳, 谢晨波, 韩 永, 等. 测量大气边界层高度的激光雷达数据反演方法研究[J]. 大气与环境光学学报, 2012, 7(4): 241-247.

    Wang Lin, Xie Chenbo, Han Yong, et al. Comparison of retrieval methods of planetary boundary layer height from lidar data[J]. Journal of Atmospheric and Environmental Optics, 2012, 7(4): 241-247.

[10] 张婉春, 张 莹, 吕 阳, 等. 利用激光雷达探测灰霾天气大气边界层高度[J]. 遥感学报, 2013, 17(4): 981-992.

    Zhang Wanchun, Zhang Ying, Lü Yang, et al. Observation of atmospheric boundary layer height by ground-based lidar during haze days[J]. Journal of Remote Sensing, 2013, 17(4): 981-992.

[11] 王珊珊. 基于被动DOAS的上海城区NO2和气溶胶污染的反演研究[D]. 上海: 复旦大学, 2012: 70-76.

    Wang Shanshan. Study on the retrieval of NO2 and aerosol pollution in Shanghai urban area based on th passive DOAS technique[D]. Shanghai: Fudan University, 2012: 70-76.

[12] 杨 辉, 刘文清, 陆亦怀, 等. 北京城区大气边界层的激光雷达观测[J]. 光学技术, 2005, 31(2): 221-226.

    Yang Hui, Liu Wenqing, Lu Yihuai, et al. PBL observations by lidar at Peaking[J]. Optical Technique, 2005, 31(2): 221-226.

[13] 胡欢陵, 吴永华, 谢晨波, 等. 北京地区夏冬季颗粒物污染边界层的激光雷达观测[J]. 环境科学研究, 2004, 17(1): 59-66.

    Hu Huanling, Wu Yonghua, Xie Chenbo, et al. Aerosol pollutant boundary later measured by lidar at Beijing[J]. Research of Environmental Sciences, 2004, 17(1): 59-66.

吕立慧, 刘文清, 张天舒, 董云升, 陈臻懿, 范广强, 刘洋, 项衍. 基于激光雷达的京津冀地区大气边界层高度特征研究[J]. 激光与光电子学进展, 2017, 54(1): 010101. Lü Lihui, Liu Wenqing, Zhang Tianshu, Dong Yunsheng, Chen Zhenyi, Fan Guangqiang, Liu Yang, Xiang Yan. Characteristics of Boundary Layer Height in Jing-Jin-Ji Area Based on Lidar[J]. Laser & Optoelectronics Progress, 2017, 54(1): 010101.

本文已被 8 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!