黄忠伟
黄忠伟，教授，博士生导师，澳门新葡官网进入网站8883萃英学者，甘肃省领军人才，教育部青年长江学者，现任澳门新葡官网进入网站8883副院长。长期从事激光雷达大气遥感、生物气溶胶探测及其气候效应研究，已发表SCI论文90余篇（H-index27），主持科技部国家重点研发计划项目课题、国家自然科学基金委面上项目、青年基金项目等国家级科研项目，获批国家发明专利10项、美国发明专利1项、德国发明专利1项，实用新型专利12项、软件著作权4项；2017年作为骨干成员入选首批全国高校黄大年式教师团队；2018年荣获甘肃省科技进步一等奖（4/12）；2020年荣获甘肃省环境科学技术一等奖（3/9）；2021年荣获兰州市优秀科技工作者称号，2022年荣获第十届甘肃青年科技奖、澳门新葡官网进入网站8883国华青年英才奖。
黄忠伟教授立足于西北，在澳门新葡官网进入网站8883建成了具有一定国际影响力、体系完备的激光雷达大气遥感研究中心，带领团队建设了“一带一路”气候与环境观测网（已建成7个国内站，2个国外站），该观测网将是丝绸之路经济带世界一流的气候与环境综合观测平台，并有望成为由澳门新葡官网进入网站8883发起的国际大科学工程。
讲授课程：
1、国家精品课程《大气探测学》（本科生）
2、省级精品课程《雷达气象学》（本科生）
3、《大气遥感及应用》（研究生）
教育经历：
2003.09-2007.07澳门新葡官网进入网站8883物理科学与技术学院物理学专业（学士）
2007.09-2012.07澳门新葡官网进入网站8883大气物理学与大气环境专业（博士）
2009.10-2010.10日本东北大学理学部（国家公派联合培养）
2010.10-2011.10日本国立环境研究所大气遥感研究中心（国家公派联合培养）
2013.01-2013.06台湾中央大学物理系（博士后）
工作经历：
2009.09-2012.07澳门新葡官网进入网站8883 助教
2012.07-2016.07澳门新葡官网进入网站8883 讲师
2016.07-2019.11澳门新葡官网进入网站8883 副教授
2018.09-至今 澳门新葡官网进入网站8883 副院长
2019.10-至今 澳门新葡官网进入网站8883 教授
荣誉获奖：
教育部国家级教学成果奖（2023年，5/15）
澳门新葡官网进入网站8883国华青年英才奖（2022年）
第十届甘肃青年科技奖（2022年）
甘肃领军人才称号（2021年）
兰州市优秀科技工作者称号（2021年）
甘肃省环境科学技术一等奖（2020年，3/9）
澳门新葡官网进入网站8883青年五四奖章（2020年）
澳门新葡官网进入网站8883萃英学者（2019年）
教育部青年长江学者（2018年）
甘肃省科技进步一等奖（2018年，4/12）
甘肃省第九届大学生创新创业大赛二等奖（2018年，指导老师）
首批全国高校黄大年式教师团队（2017年，骨干成员）
澳门新葡官网进入网站8883本科生毕业论文“优秀指导教师”称号（2016年）
澳门新葡官网进入网站8883“优秀班主任”称号（2015年）
学术兼职：
甘肃省气象学会青年工作委员会副主任委员（2023.06-）
中国核学会计算物理分会第九届理事会理事（2023.10-）
中国激光杂志社第三届青年编辑委员会委员、《光学学报》青年编委（2023.01-2025.12）
国际大气环境遥感学会（“AERSS学会”）学会理事、第五工作组（Lidar group）联合主席；（2022.01-）
《大气与环境光学学报》青年编委（2020.12-2024.12）
代表性论文：
1. Huang, Z., Yu, X., Liu, Q., Maki, T., Alam, K., Wang, Y., Xue, F., Tang, S., Du, P., Dong, Q., Wang, D., Huang, J.*, 2023. Bioaerosols in the atmosphere: A comprehensive review on detection methods, concentration and influencing factors. Science of The Total Environment 912, 168818. doi.org/10.1016/j.scitotenv.2023.168818
2. Qi, J., Huang, Z.*, Xue, F., Gao, Z., Maki, T., Zhang, Z., Liu, K., Ji, M., Liu, Y., 2023. Aridification alters the diversity of airborne bacteria in drylands of China. Atmospheric Environment 315, 120135. doi.org/10.1016/j.atmosenv.2023.120135
3. Ali, Md.A., Wang, Y., Bilal, M., Assiri, M.E., Islam, A.R.M.T., Malafaia, G., Huang, Z.*, Mhawish, A., Islam, M.N., Qiu, Z., Ahmed, R., Almazroui, M., 2023. Trace Gases over Land and Ocean Surfaces of China: Hotspots, Trends, and Source Contributions. Earth Systems and Environment, doi.org/10.1007/s41748-023-00354-0
4. Zhou, T., Zhou, X., Yang, Z., Córdoba-Jabonero, C., Wang, Y., Huang, Z.*, Da, P., Luo, Q., Zhang, Z., Shi, J., Bi, J., Alikhodja, H., 2023. Transboundary transport of non-east and East Asian dust observed at Dunhuang, northwest China. Atmospheric Environment 318, 120197. doi.org/10.1016/j.atmosenv.2023.120197
5. Wang, Y., Z. Huang*, T. Zhou, J. Bi, and J. Shi, 2023: Identification of fluorescent aerosol observed by a spectroscopic lidar over northwest China, Opt. Express, 31, 13, doi.org/10.1364/OE.493557
6. Md. Arfan Ali, Z. Huang*, Muhammad Bilal, Mazen E. Assiri, Alaa Mhawish, Janet E. Nichol, Gerrit de Leeuw, Mansour Almazroui, Yu Wang, and Yazeed Alsubhi, 2023: Long-term PM2.5 pollution over China: Identification of PM2.5 pollution hotspots and source contributions, Science of the Total Environment, 893, doi.org/10.1016/j.scitotenv.2023.164871
7. Du, Peng., Z. Huang*, S. Tang, Q. Dong, J. Bi , X. Yu , and Q. Gu, 2023: Long-term Variation of Dust Devilsin East Asia during 1959-2021, JGR Atmospheres, 10, 1029, doi. org/10.1029/2022JD038013
8. Huang, Z., Q. Dong, B. Chen, T. Wang, J. Bi, T. Zhou, K. Alam, J. Shi, and S. Zhang, 2023: Method for retrieving range-resolved aerosol microphysical properties from polarization lidar measurements, Opt. Express, 31, 5, doi.org/10.1364/OE.481252
9. Huang, Z., M. Li, J. Bi *, X. Shen, S. Zhang, and Q. Liu,2023: Small lidar ratio of dust aerosol observed by Raman-polarization lidar near desert sources, Opt. Express, 31, 10, doi.org/10.1364/OE.484501
10. Huang, Z., X. Shen, S. Tang, T. Zhou, Q. Dong, S. Zhang, M. Li, and Y. Wang, 2023: Simulated depolarization ratios for dust and smoke at laser wavelengths: implications for lidar application, Opt. Express, 31, 6, doi.org/10.1364/OE.484335
11. Zhang, S., Z. Huang*, K. Alam, M. Li, Q. Dong, Y. Wang, X. Shen, J. Bi , J. Zhang, W. Li, Z. Li, W. Wang, Z. Cui, and X. Song, 2023: Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations, RemoteSensing, 2023, 15, 1216. doi.org/10.3390/rs15051216
12. Liu. Q., Z. Huang*, Z. Hu, Q. Dong, and S. Li, 2022: Long-Range Transport and Evolution of Saharan Dust Over East Asia From 2007 to 2020, JGR Atmospheres, 10.1029/2022JD036974
13. 黄忠伟, 王雍恺, 闭建荣, 王天河, 李武仁, 李泽, 周天, 2022: 气溶胶激光雷达的国内外研究进展与展望, 遥感学报, 26(5), doi: 10.11834/jrs.20221388.
14. Zhang, S., Z. Huang*, M. Li, X. Shen, Y. Wang, Q. Dong, J. Bi, J. Zhang, W. Li, Z. Li, X.Song,2022: Vertical Structure of Dust Aerosols Observed by a Ground-Based Raman Lidar with Polarization Capabilities in the Center of the Taklimakan Desert, RemoteSensing, 14, 2461.doi.org/10.3390/rs14102461
15. Dong, Q., Z. Huang*, W. Li, Z. Li, X. Song, W. Liu, T. Wang, J. Bi, J. Shi, 2021: Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert?Tibetan Plateau, RemoteSensing, 13, doi.org/10.3390/rs14030558
16. Huang, Z., J. Huang*, Q. Gu, P. Du, H. Liang, and Q. Dong, 2020: Optimal temperature zone for the dispersal of COVID-19, Science of the Total Environment, 721, doi:10.1016/j.scitotenv.2020.139487.
17. Qi, J., Z. Huang*, T. Maki, S. Kang, J. Guo, K. Liu, and Y. Liu, 2020: Airborne bacterial communities over the Tibetan and Mongolian Plateaus: variations and their possible sources, Atmospheric Research, 721, doi: 10.1016/j.atmosres.2020.105215.
18. Ma, X., Z. Huang*, S. Qi, J. Huang, S. Zhang, Q. Dong, and X. Wang, 2020: Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations, Science of The Total Environment, 721, doi: 10.1016/j.scitotenv.2020.137699.
19. Huang, Z., S. Qi, T. Zhou*, Q. Dong, X. Ma, S. Zhang, J. Bi, and J. Shi, 2020: Investigation of aerosol absorption with dual-polarization lidar observations, Opt. Express, 28, 7028?7035, doi: 10.1364/OE.390475.
20. Huang*, Z., J. Nee *, C. Chiang, S. Zhang, H. Jin, W. Wang, and T. Zhou , 2018: Real-Time Observations of Dust?Cloud Interactions Based on Polarization and Raman Lidar Measurements, Remote Sens. 2018, 10, 1017, doi:10.3390/rs10071017.
21. Tang, K., Z. Huang*, J. Huang, T. Maki, S. Zhang, A. Shimizu, X. Ma, J. Shi, J. Bi, T. Zhou, G. Wang, and L. Zhang ,2018: Characterization of atmospheric bioaerosols along the transport pathway of Asian dust during the Dust-Bioaerosol 2016 Campaign, Atmos. Chem. Phys, 18, 7131?7148, 2018.
22. Huang, Z., J. Huang*, T. Hayasaka, S. Wang, T. Zhou and H. Jin, 2015: Short-cut transport path for Asian dust directly to the Arctic: a case study, Environ. Res. Lett. 10, 114018, doi:10.1088/1748-9326/10/11/114018.
23. Huang, Z., J. Huang*, J. Bi, G. Wang, W. Wang, Q. Fu, Z. Li, S.-C. Tsay, and J. Shi, 2010: Dust aerosol vertical structure measurements using three MPL lidars during 2008 China?U.S. joint dust field experiment, J. Geophys. Res, 115, D00K15, doi:10.1029/2009JD013273.
合作者论文：
1. Zhang, Z., Qi, J., Liu, Y.*, Ji, M., Wang, W., Wu, W., Liu, K., Huang, Z., 2023. Anthropogenic impact on airborne bacteria of the Tibetan Plateau. Environment International 183, 108370. doi.org/10.1016/j.envint.2023.108370
2. Dai, G., Wu, S., Long, W., Liu, J., Xie, Y., Sun, K., Meng, F., Song, X.*, Huang, Z., Chen, W., 2023. Aerosols and Clouds data processing and optical properties retrieval algorithms for the spaceborne ACDL/DQ-1. Aerosols/Remote Sensing/Data Processing and Information Retrieval. doi.org/10.5194/egusphere-2023-2182
3. Pan, H., Huang, J.*, Li, J., Huang, Z., Zhou, T., Kumar, K.R., 2023. The Tibetan Plateau Space-based Tropospheric Aerosol Climatology: 2007?2020. ESSD ? Atmosphere/Atmospheric chemistry and physics. doi.org/10.5194/essd-2023-290
4. Jin, S., Ma, Y.*, Huang, Z., Huang, J., Gong, W., Liu, B., Wang, W., Fan, R., Li, H., 2023. A comprehensive reappraisal of long-term aerosol characteristics, trends, and variability in Asia. Atmospheric Chemistry and Physics, 23, 8187?8210. doi.org/10.5194/acp-23-8187-2023
5. Chen, B.*, Dong, L., Huang, J., Wang, Y., Jing, Z., Yan, W., Wang, X., Song, Z., Huang, Z., Guan, X., Dong, X., Huang, Y., 2023. Analysis of Long?Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data. Journal of Geophysical Research: Atmospheres 128, e2022JD038066. doi.org/10.1029/2022JD038066
6. Ma, J., Li, R.*, Liu, H., Huang, Z., Wu, T., Wu, X., Zhao, L., Hu, G., Xiao, Y., Jiao, Y., Liu, W., Wang, S., Shi, J., Qiao, Y., 2023. Evaluation of CLM5.0 for simulating surface energy budget and soil hydrothermal regime in permafrost regions of the Qinghai-Tibet Plateau. Agricultural and Forest Meteorology 332, 109380. doi.org/10.1016/j.agrformet.2023.109380
7. Haq, M., Iqbal, M.J., Alam, K., Huang, Z., Blaschke, T., Qureshi, S., Muhammad, S.*, 2023. Assessment of Runoff Components of River Flow in the Karakoram Mountains, Pakistan, during 1995?2010. Remote Sensing 15, 399. doi.org/10.3390/rs15020399
8. Cai, J., Zhou, Z., Huang, Z., Dai, W., Yu, F.R., 2023. Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains. IEEE Trans. Netw. Serv. Manage. 1?1. doi.org/10.1109/TNSM.2023.3311587
9. Ahmad, M., Hussain, K., Nasir, J., Huang, Z., Alam*, K., Liaquat, S., Wang, P., Hussain, W., Mihaylova, L., Ali, A., Farhan, S.B., 2022. Air Quality Assessment along China-Pakistan Economic Corridor at the Confluence of Himalaya-Karakoram-Hindukush. Atmosphere 13, 1994. doi.org/10.3390/atmos13121994
10. Ma, J., Li, R.*, Huang, Z., Wu, T., Wu, X., Zhao, L., Liu, H., Hu, G., Xiao, Y., Du, Y., Yang, S., Liu, W., Jiao, Y., Wang, S., 2022. Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models. International Journal of Digital Earth 15, 1947?1965. doi.org/10.1080/17538947.2022.2142307
11. Chen, S., Tong, B., Russell, L.M., Wei, J., Guo, J., Mao, F., Liu, D.*, Huang, Z., Xie, Y., Qi, B., Zhang, H., Sun, Y., Zhang, B., Xu, C., Wu, L., Liu, D., 2022. Lidar-based daytime boundary layer height variation and impact on the regional satellite-based PM2.5 estimate. Remote Sensing of Environment 281, 113224. doi.org/10.1016/j.rse.2022.113224
12. Han, B., Zhou, T.*, Zhou, X., Fang, S., Huang, J., He, Q., Huang, Z., Wang, M., 2022. A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar. Remote Sensing 14, 5436. https://doi.org/10.3390/rs14215436
13. Maki, T.*, Noda, J., Morimoto, K., Aoki, K., Kurosaki, Y., Huang, Z., Chen, B., Matsuki, A., Miyata, H., Mitarai, S., 2022. Long-range transport of airborne bacteria over East Asia: Asian dust events carry potentially nontuberculous Mycobacterium populations. Environment International 168, 107471. doi.org/10.1016/j.envint.2022.107471
14. Anwar, K., Alam, K.*, Liu, Yangang, Huang, Z., Huang, J., Liu, Yuzhi, 2022. Analysis of aerosol cloud interactions with a consistent signal of meteorology and other influencing parameters. Atmospheric Research 275, 106241. doi.org/10.1016/j.atmosres.2022.106241
15. Han, Y., Wang, T.*, Tang, J., Wang, C., Jian, B., Huang, Z., Huang, J., 2022. New insights into the Asian dust cycle derived from CALIPSO lidar measurements. Remote Sensing of Environment 272, 112906. doi.org/10.1016/j.rse.2022.112906
16. Bi, J.*, Li, Z., Zuo, D., Yang, F., Li, B., Ma, J., Huang, Z., He, Q., 2022. Dust Aerosol Vertical Profiles in the Hinterland of Taklimakan Desert During Summer 2019. Frontiers in Environmental Science, 10, 851915. doi.org/10.3389/fenvs.2022.851915
17. Liu, C., Huang, Z., Huang, J.*, Liang, C., Ding, L., Lian, X., Liu, X., Zhang, L., Wang, D., 2022. Comparison of PM2.5 and CO2 Concentrations in Large Cities of China during the COVID-19 Lockdown. Advances in Atmospheric Science, 39, 861?875. doi.org/10.1007/s00376-021-1281-x
18. Qi, J., Ji, M., Wang, W., Zhang, Z., Liu, K., Huang, Z., Liu, Y.*, 2022. Effect of Indian monsoon on the glacial airborne bacteria over the Tibetan Plateau. Science of The Total Environment 831, 154980. doi.org/10.1016/j.scitotenv.2022.154980
19. Han, Y., Wang, T.*, Tan, R., Tang, J., Wang, C., He, S., Dong, Y., Huang, Z., Bi, J., 2022. CALIOP-Based Quantification of Central Asian Dust Transport. Remote Sensing 14, 1416. doi.org/10.3390/rs14061416
20. Bi, J.*, Zuo, D., Yang, F., Zhang, L., Huang, Z., Wang, T., 2022. Surface radiation characteristics and downward cloud radiative forcing in southern Xinjiang during summer 2019. Meteorology and Atmospheric Physics, 134, 11. doi.org/10.1007/s00703-021-00847-5
21. Usman, F., Zeb, B., Alam, K.*, Huang, Z., Shah, A., Ahmad, I., Ullah, S., 2022. In-Depth Analysis of Physicochemical Properties of Particulate Matter (PM10, PM2.5 and PM1) and Its Characterization through FTIR, XRD and SEM?EDX Techniques in the Foothills of the Hindu Kush Region of Northern Pakistan. Atmosphere 13, 124. doi.org/10.3390/atmos13010124
22. Ma, J., Li, R.*, Liu, H., Huang, Z., Wu, T., Hu, G., Xiao, Y., Zhao, L., Du, Y., Yang, S., 2022. The Surface Energy Budget and Its Impact on the Freeze-thaw Processes of Active Layer in Permafrost Regions of the Qinghai-Tibetan Plateau. Advances in Atmospheric Science, 39, 189?200. doi.org/10.1007/s00376-021-1066-2
23. Wang, T., Han, Y., Hua, W., Tang, J., Huang, J.*, Zhou, T., Huang, Z., Bi, J., Xie, H., 2021. Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting. Remote Sensing 13, 1099. doi.org/10.3390/rs13061099
24. Yang, L., Zhang, S.*, Huang, Z., Yang, Y., Wang, L., Han, W., Li, X., 2021. Characteristics of Dust Events in China from 2015 to 2020. Atmosphere 12, 952. doi.org/10.3390/atmos12080952
25. Wen, H., Zhou, Y., Xu, X., Wang, T., Chen, Quanliang, Chen, Qingcai, Li, W., Wang, Z., Huang, Z., Zhou, T., Shi, J., Bi, J., Ji, M., Wang, X.*, 2021. Water-soluble brown carbon in atmospheric aerosols along the transport pathway of Asian dust: Optical properties, chemical compositions, and potential sources. Science of The Total Environment 789, 147971. doi.org/10.1016/j.scitotenv.2021.147971
26. Yang, L., Hu, Z.*, Huang, Z., Wang, L., Han, W., Yang, Y., Tao, H., Wang, J., 2021. Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China. Remote Sensing 13, 1056. doi.org/10.3390/rs13061056
27. Liu, X., Huang, J.*, Li, C., Zhao, Y., Wang, D., Huang, Z., Yang, K., 2021. The role of seasonality in the spread of COVID-19 pandemic. Environmental Research 195, 110874. doi.org/10.1016/j.envres.2021.110874
28. Zhou, T., Xie, H., Jiang, T., Huang, J.*, Bi, J., Huang, Z., Shi, J., 2021. Seasonal characteristics of aerosol vertical structure and autumn enhancement of non-spherical particle over the semi-arid region of northwest China. Atmospheric Environment 244, 117912. doi.org/10.1016/j.atmosenv.2020.117912
29. Wang, T., Han, Y., Huang, J.*, Sun, M., Jian, B., Huang, Z., Yan, H., 2020. Climatology of Dust?Forced Radiative Heating Over the Tibetan Plateau and Its Surroundings. Journal of Geophysical Research: Atmospheres 125, e2020JD032942. doi.org/10.1029/2020JD032942
30. Huang, J.*, Zhang, L., Liu, X., Wei, Y., Liu, C., Lian, X., Huang, Z., Chou, J., Liu, Xingrong, Li, X., Yang, K., Wang, J., Liang, H., Gu, Q., Du, P., Zhang, T., 2020. Global prediction system for COVID-19 pandemic. Science Bulletin 65, 1884?1887. doi.org/10.1016/j.scib.2020.08.002
31. 陈怡璇, 王天河, 韩颖, 乔瀚洋, 孙梦仙, 黄忠伟, 2020: 矿物沙尘与盐尘典型区气溶胶光学特性的对比分析. 高原气象, 39(4), doi: 10. 7522/j. issn. 1000-0534. 2019. 00048.
32. Huang, J*., Liu, X., Zhang, L., Yang, K., Chen, Y., Huang, Z., Liu, C., Lian, X., Wang, D., 2020. Projecting the second outbreaks for global COVID-19 pandemic. medRxiv preprint, doi.org/10.1101/2020.07.15.20154161
33. Sugimoto, N.*, Jin, Y., Nishizawa, T., Huang, Z., 2020. Pulsed Scheimpflug Lidar for Range-Resolved Measurement of Broadband Fluorescence Decay Time of Aerosols. 13th Bioaerosol Symposium
34. Zhang, Z., Huang, J.*, Chen, B., Yi, Y., Liu, J., Bi, J., Zhou, T., Huang, Z., Chen, S., 2019. Three?Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground?Based Lidar and Sun Photometer Data. Journal of Geophysical Research: Atmospheres 124, 1118?1131. doi.org/10.1029/2018JD028957
35. Dang, R., Yang, Y.*, Li, H., Hu, X.-M., Wang, Z., Huang, Z., Zhou, T., Zhang, T., 2019. Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar. Remote Sensing 11, 263. doi.org/10.3390/rs11030263
36. 华雯丽, 韩颖, 乔瀚洋, 王天河, 黄忠伟, 闭建荣, 周天, 2018: 敦煌沙尘气溶胶质量浓度垂直特征个例分析. 高原气象, 37(5),doi:10.7522/j.issn.1000-0534.2018.00017
37. Wu, X., Liu, J., Wu, Y., Wang, X.*, Yu, X., Shi, J., Bi, J., Huang, Z., Zhou, T., Zhang, R., 2018. Aerosol optical absorption coefficients at a rural site in Northwest China: The great contribution of dust particles. Atmospheric Environment 189, 145?152. doi.org/10.1016/j.atmosenv.2018.07.002
38. Zhou, T., Xie, H., Bi, J., Huang, Z., Huang, J.*, Shi, J., Zhang, B., Zhang, W., 2018. Lidar Measurements of Dust Aerosols during Three Field Campaigns in 2010, 2011 and 2012 over Northwestern China. Atmosphere 9, 173. doi.org/10.3390/atmos9050173
39. Wang, X.*, Wen, H., Shi, J., Bi, J., Huang, Z., Zhang, B., Zhou, T., Fu, K., Chen, Q., Xin, J., 2018. Optical and microphysical properties of natural mineral dust and anthropogenic soil dust near dust source regions over northwestern China. Atmospheric Chemistry and Physics, 18, 2119?2138. doi.org/10.5194/acp-18-2119-2018
40. Zhang, Z., Chen, B., Huang, J.*, Liu, J., Bi, J., Zhou, T., Huang, Z., 2017. Comparison of the optical properties of pure and transported anthropogenic dusts measured by ground-based Lidar (preprint) . Atmospheric Chemistry and Physics, doi.org/10.5194/acp-2017-1000
41. Xie, H., Zhou, T., Fu, Q., Huang, J.*, Huang, Z., Bi, J., Shi, J., Zhang, B., Ge, J., 2017. Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China. Optics Express 25, 30732. doi.org/10.1364/OE.25.030732
42. Bi, J., Huang, J.*, Shi, J., Hu, Z., Zhou, T., Zhang, G., Huang, Z., Wang, X., Jin, H., 2017. Measurement of scattering and absorption properties of dust aerosol in a Gobi farmland region of northwestern China ?a potential anthropogenic influence. Atmospheric Chemistry and Physics, 17, 7775?7792. doi.org/10.5194/acp-17-7775-2017
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