Minimum R Squared Method (MRS)
由Millet (2005)最初提出的最小相关系数法(MRS)是确定性示踪法中的一次比值的有效方法。本程序的目的是通过一个用户友好的图形界面来执行MRS计算。MRS的应用不仅限于OC/ EC示踪法,只要一个可靠示踪物,就可扩展到其他的应用中(例如计算黑碳吸光增强系数Eabs)。
本程序的MRS计算可以通过不同的时间维度(批处理计算)来完成:年,年/季,季,年/月,月,按年及月和小时。数据筛选功能也被提供了用以抓去特定的数据子集进行MRS计算。
详情关于MRS方法的模式论证及应用,请参考 (如果你在文章中用到了本软件,请引用以下文章)
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.: 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.
本程序的最新信息可以在我的网站找到:
https://wucheng.weebly.com/
https://sites.google.com/site/wuchengust/
https://zenodo.org/record/832396
本程序的MRS计算可以通过不同的时间维度(批处理计算)来完成:年,年/季,季,年/月,月,按年及月和小时。数据筛选功能也被提供了用以抓去特定的数据子集进行MRS计算。
详情关于MRS方法的模式论证及应用,请参考 (如果你在文章中用到了本软件,请引用以下文章)
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.: 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.
本程序的最新信息可以在我的网站找到:
https://wucheng.weebly.com/
https://sites.google.com/site/wuchengust/
https://zenodo.org/record/832396
也可以在QQ群(258975942)的群共享文件中下载:
使用了该工具包的已发表文章:
MRS approach adoption in literature:
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
Ji, D., Gao, M., Maenhaut, W., He, J., Wu, C., Cheng, L., Gao, W., Sun, Y., Sun, J., Xin, J., Wang, L., and Wang, Y.: The carbonaceous aerosol levels still remain a challenge in the Beijing-Tianjin-Hebei region of China: Insights from continuous high temporal resolution measurements in multiple cities, Environment International, 126, 171-183, doi: https://doi.org/10.1016/j.envint.2019.02.034, 2019.
Ying, Q., Feng, M., Song, D., Wu, L., Hu, J., Zhang, H., Kleeman, M. J., and Li, X.: Improve regional distribution and source apportionment of PM2.5 trace elements in China using inventory-observation constrained emission factors, Sci.Total.Environ., 624, 355-365, doi: https://doi.org/10.1016/j.scitotenv.2017.12.138 2018.
Ji, Y., Qin, X., Wang, B., Xu, J., Shen, J., Chen, J., Huang, K., Deng, C., Yan, R., Xu, K., and Zhang, T.: Counteractive effects of regional transport and emission control on the formation of fine particles: a case study during the Hangzhou G20 summit, Atmos. Chem. Phys., 18, 13581-13600, https://doi.org/10.5194/acp-18-13581-2018, 2018.
Bian, Q., Alharbi, B., Shareef, M. M., Husain, T., Pasha, M. J., Atwood, S. A., and Kreidenweis, S. M.: Sources of PM2.5 carbonaceous aerosol in Riyadh, Saudi Arabia, Atmos. Chem. Phys., 18, 3969-3985, doi: https://doi.org/10.5194/acp-18-3969-2018, 2018.
Xu, J., Wang, Q., Deng, C., McNeill, V. F., Fankhauser, A., Wang, F., Zheng, X., Shen, J., Huang, K., and Zhuang, G.: Insights into the characteristics and sources of primary and secondary organic carbon: High time resolution observation in urban Shanghai, Environ Pollut, https://doi.org/10.1016/j.envpol.2017.10.003, 2017.
MRS approach adoption in literature:
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
Ji, D., Gao, M., Maenhaut, W., He, J., Wu, C., Cheng, L., Gao, W., Sun, Y., Sun, J., Xin, J., Wang, L., and Wang, Y.: The carbonaceous aerosol levels still remain a challenge in the Beijing-Tianjin-Hebei region of China: Insights from continuous high temporal resolution measurements in multiple cities, Environment International, 126, 171-183, doi: https://doi.org/10.1016/j.envint.2019.02.034, 2019.
Ying, Q., Feng, M., Song, D., Wu, L., Hu, J., Zhang, H., Kleeman, M. J., and Li, X.: Improve regional distribution and source apportionment of PM2.5 trace elements in China using inventory-observation constrained emission factors, Sci.Total.Environ., 624, 355-365, doi: https://doi.org/10.1016/j.scitotenv.2017.12.138 2018.
Ji, Y., Qin, X., Wang, B., Xu, J., Shen, J., Chen, J., Huang, K., Deng, C., Yan, R., Xu, K., and Zhang, T.: Counteractive effects of regional transport and emission control on the formation of fine particles: a case study during the Hangzhou G20 summit, Atmos. Chem. Phys., 18, 13581-13600, https://doi.org/10.5194/acp-18-13581-2018, 2018.
Bian, Q., Alharbi, B., Shareef, M. M., Husain, T., Pasha, M. J., Atwood, S. A., and Kreidenweis, S. M.: Sources of PM2.5 carbonaceous aerosol in Riyadh, Saudi Arabia, Atmos. Chem. Phys., 18, 3969-3985, doi: https://doi.org/10.5194/acp-18-3969-2018, 2018.
Xu, J., Wang, Q., Deng, C., McNeill, V. F., Fankhauser, A., Wang, F., Zheng, X., Shen, J., Huang, K., and Zhuang, G.: Insights into the characteristics and sources of primary and secondary organic carbon: High time resolution observation in urban Shanghai, Environ Pollut, https://doi.org/10.1016/j.envpol.2017.10.003, 2017.