最小相关系数法(MRS)估算二次有机碳气溶胶(SOC)
在以黑碳气溶胶作为示踪物的研究方面,通过新开发的数值模型,系统地对黑碳示踪法中几种计算一次比值方法之间的性能进行了定量评估,自黑碳示踪法问世30年以来,首次量化地给出了几种计算一次比值方法误差范围。该研究证实最小相关系数法(MRS)是目前示踪法中估算二次有机碳气溶胶的最优方法,并开发了免费的MRS软件供同行使用,目前MRS方法及软件在世界各地(华北,华东,华南,希腊,日本,韩国,印度,中东,意大利)多个科研团队的43项气溶胶研究中获得了广泛的应用。
Related Publications:
Wu, C. and Yu, J. Z*.: Determination of primary combustion source organic carbon-to-elemental carbon (OC / EC) ratio using ambient OC and EC measurements: secondary OC-EC correlation minimization method, Atmos. Chem. Phys., 16, 5453-5465, doi:10.5194/acp-16-5453-2016, 2016.
Wu, C*., Wu, D., and Yu, J. Z*.: Estimation and Uncertainty Analysis of Secondary Organic Carbon Using One‐Year of Hourly Organic and Elemental Carbon Data. J. Geophys. Res.-Atmos, 124, 2774-2795 doi:10.1029/2018JD029290, 2019
黑碳吸光增强 Black Carbon light absorption enhancement
![](https://www.x-mol.com/showImage/showUeImage?fileSource=upload:webue/20200228/67251582879624014.png)
We developed a new method to quantify light absorption enhancement.
Related Publications:
Wu, C. , Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys. , 18, 289-309, doi:10.5194/acp-18-289-2018 , 2018.
Sun, J. Y., Wu, C.*, Wu, D.*, Cheng, C., Li, M., Li, L., Deng, T., Yu, J. Z., Li, Y. J., Zhou, Q., Liang, Y., Sun, T., Song, L., Cheng, P., Yang, W., Pei, C., Chen, Y., Cen, Y., Nian, H., and Zhou, Z.*: Amplification of black carbon light absorption induced by atmospheric aging: temporal variation at seasonal and diel scales in urban Guangzhou, Atmos. Chem. Phys., 20, 2445-2470, doi: 10.5194/acp-20-2445-2020, 2020.
污染物垂直廓线观测 vertical profiling measurements
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该研究由国家自然科学基金资助(41605002, 使用旋翼无人机和气象铁塔协同观测细粒子及黑碳气溶胶的近地层垂直分布)
Related Publications:
Liang, Y., Wu, C.*, Wu, D., Liu, B., Li, Y. J., Sun, J., Yang, H., Mao, X., Tan, J., Xia, R., Deng, T., Li, M., and Zhou, Z.: Vertical distributions of atmospheric black carbon in dry and wet seasons observed at a 356-m meteorological tower in Shenzhen, South China, Sci. Total. Environ., 853, 158657, doi: https://doi.org/10.1016/j.scitotenv.2022.158657, 2022.
Wu, C.*, Liu, B., Wu, D., Yang, H., Mao, X., Tan, J., Liang, Y., Sun, J. Y., Xia, R., Sun, J., He, G., Li, M., Deng, T., Zhou, Z., and Li, Y. J.*: Vertical profiling of black carbon and ozone using a multicopter unmanned aerial vehicle (UAV) in urban Shenzhen of South China, Sci. Total. Environ., 801, 149689, doi: https://doi.org/10.1016/j.scitotenv.2021.149689, 2021.
Sun, T., Wu, C.*, Wu, D.*, Liu, B., Sun, J. Y., Mao, X., Yang, H., Deng, T., Song, L., Li, M., Li, Y. J., and Zhou, Z.*: Time-resolved black carbon aerosol vertical distribution measurements using a 356-m meteorological tower in Shenzhen, Theor. Appl. Climatol.,140,1263–1276, doi: 10.1007/s00704-020-03168-6 , 2020.
Liu, B., Wu, C., Ma, N., Chen, Q., Li, Y., Ye, J., Martin, S. T., and Li, Y. J.*: Vertical profiling of fine particulate matter and black carbon by using unmanned aerial vehicle in Macau, China, Sci.Total.Environ., 136109, doi: 10.1016/j.scitotenv.2019.136109, 2020.
Li, Y., Liu, B., Ye, J., Jia, T., Khuzestani, R. B., Sun, J. Y., Cheng, X., Zheng, Y., Li, X., Wu, C., Xin, J., Wu, Z., Tomoto, M. A., McKinney, K. A., Martin, S. T., Li, Y. J., and Chen, Q.*: Unmanned Aerial Vehicle Measurements of Volatile Organic Compounds over a Subtropical Forest in China and Implications for Emission Heterogeneity, ACS Earth Space Chem., 5, 247-256, doi: https://doi.org/10.1021/acsearthspacechem.0c00271, 2021.
Igor toolkits | 工具包
我们开发了一系列基于Igor Pro的大气数据处理及可视化的工具包,免费提供给同行使用。
I have developed a set of computer programs to meet specific research purposes. These toolkits are open-sourced and free to use.
关于工具包的最新信息可以在微信公众号和QQ群获得
已开发的Igor程序包:
List of programs I developed:
ScatterPlot
Histogram and Boxplot
MRS
RT-ECOC raw data processor
Benchtop Sunset ECOC analyzer data processor
DRI 2001A data Sorter
SMPS Toolkit
Mie Scattering
Aethalometer data correction
各工具包的介绍和下载链接可以参见 https://www.x-mol.com/groups/wucheng/igor
珠三角黑碳长期变化趋势Long term measurements of black carbon in Pearl River Delta
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Wu, D.*, Wu, C., Liao, B., Chen, H., Wu, M., Li, F., Tan, H., Deng, T., Li, H., Jiang, D., and Yu, J. Z.*: Black carbon over the South China Sea and in various continental locations in South China, Atmos Chem Phys , 13, 12257-12270, doi:10.5194/acp-13-12257-2013, 2013.
暨南大学大气超级站Jinan University (JNU) super site
![](https://www.x-mol.com/showImage/showUeImage?fileSource=upload:webue/20191217/79661576558561205.png)
Related Publications:
Liang, Y., Wu, C.*, Jiang, S., Li, Y. J., Wu, D., Li, M., Cheng, P., Yang, W., Cheng, C., Li, L., Deng, T., Sun, J. Y., He, G., Liu, B., Yao, T., Wu, M., and Zhou, Z.: Field comparison of electrochemical gas sensor data correction algorithms for ambient air measurements, Sens. Actuators B Chem., 327, 128897, doi: https://doi.org/10.1016/j.snb.2020.128897, 2021.
珠三角PM2.5化学组分的长期观测
Long term trend of PM2.5 Speciation in the Pearl River Delta region
We work closely with Prof. Jian zhen YU (HKUST) to track the long term trend of PM2.5 speciation in the Pearl River Delta region.
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Related Publications:
有机碳/元素碳分析方法
OC/EC analysis techniques
![](https://www.x-mol.com/showImage/showUeImage?fileSource=upload:webue/20191217/74961576558624373.png)
Wu, C ., Huang, X. H. H., Ng, W. M., Griffith, S. M., and Yu, J. Z*.: Inter-comparison of NIOSH and IMPROVE protocols for OC and EC determination: Implications for inter-protocol data conversion, Atmos. Meas. Tech., doi: https://doi.org/10.5194/amt-9-4547-2016 2016.
Wu, C ., Ng, W. M., Huang, J., Wu, D., and Yu, J. Z*.: Determination of Elemental and Organic Carbon in PM 2.5 in the Pearl River Delta Region: Inter-Instrument (Sunset vs. DRI Model 2001 Thermal/Optical Carbon Analyzer) and Inter-Protocol Comparisons (IMPROVE vs. ACE-Asia Protocol), Aerosol Sci Tech, 46, 610-621, doi: https://doi.org/10.1080/02786826.2011.649313 , 2012