Minimum R Squared Method (MRS)

2020-01-16T18:28:48Z (GMT) by Cheng WU

Version 20190501

 

Minimum R Square Method (MRS) initially proposed by Millet et al. (2005) is a useful method to determine the primary ratio in the tracer method. The purpose of the program is to feasible MRS calculation via a user-friendly GUI.  The MRS application is not limited in OC/EC tracer method, but can also be extended to other applications as long as a reliable tracer is available.

 

MRS calculation can be done by different temporal cycles (batch calculation): by year, by year&season, by season, by year&month, by month, by year&month&hour. Data filter is also available to calculate MRS on a specific subset of data.

 

For more details regarding the evaluation of the MRS method, please refer to 

 

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.

 

Please cite these two papers if MRS is used in your publication.

 

The latest version of the program can be found on my website:

https://sites.google.com/site/wuchengust/

https://wucheng.weebly.com

 

 

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

 

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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.

 

本程序的相关信息可以在我的网站找到:

https://sites.google.com/site/wuchengust/

 

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 Polluthttps://doi.org/10.1016/j.envpol.2017.10.003, 2017.