MODLES

The models listed below are developed by our group and/or collaborators (Dr. Guoliang Shi and Dr. Yinchang Feng)  at Nankai University (http://env.nankai.edu.cn/air/).  These receptor models are designed for source apportionment of particulate matter.  Please feel free to download, but the authors accept no legal liability for their use.

Models

  • CMB-GC1.0 (Chemcial Mass Balance-Gas Constraint) 

This is an extension to the more traditional CMB model and can be applied to estimate the contribution of sources to particulate matter, using gas phase concentrations to set additional constraints.

Download:      CMB-GC%201.0.zip

cmbgc
  • CMBGC-Iteration 1.0 (Chemcial Mass Balance Gas Constraint- Iteration)

This is an extension to the more traditional CMB model and can be applied to estimate the contribution of sources to particulate matter, using  gas phase species  concentration constraints. In this model, the uncertainties of ambient dataset and source profiles are involved in the iterative solution.

Download:  CMBGC-Iteration.zip  

cmbgciteration
  • NCAPCA 1.0 (Non‐negative Constrained Absolute Principle Component Analysis)

This is a factor analytic approach and can be applied to estimate the contribution of sources to particulate matter, based on the PCA method. Non-negative contributions are obtained.

Download:   NCAPCA.zip

ncapca
  • WALSPMF 1.0 (Weighted Alternating Least Squares‐Positive Matrix Factorization)

This is an extension to the more traditional PMF model and can be applied to estimate the contributions of sources to particulate matter, based on the Weighted Alternating Least Squares and Positive Matrix Factorization method.

Download:   WALSPMF.zip

WALSPMF
  • CMB-Iteration 1.0 (SOC) (Chemical mass balance‐Iteration  SOC estimation)

This is an extension to the more traditional CMB model and can be applied to estimate the concentrations of SOC and contribution of the sources.

Download:  CMBI%28SOC%29.zip

CMBISOC
  • Three-dimensional WFA  1.0  (Three-dimensional weighted factor model)

This is a three-dimensional weighted factor model and can be applied to estimate the contribution of sources to particulate matter, for analyzing the multi-site data.

Download: WFA3.zip

3FA
  • SSAPO  1.0  (Simultaneous Source Apportionment with Profile Optimization model)

This is a simultaneous source apportionment with profile optimization model and can generated new local source profiles, based on the reference (original) profile and local ambient dataset. The simulated (new) profile can be more compatible for local areas, comparing with the reference profile.

Download: SSAPO.zip

Untitled

User Guide

CMB-GC                       CMB-GC%201.0%20User%20Guide.pdf

CMBGC-Iteration       CMBGC-Iteration%201.0%20User%20Guide.pdf

NCAPCA                     NCAPCA%20User%20Guide.pdf

WALSPMF                  WALSPMF%20User%20Guide.pdf

CMB-Iteration (SOC)  CMB-Iteration%20%28SOC%29%201.0%20User%20Guide.pdf

Three-dimensional WFA  WFA3%20User%20Guide.pdf

SSAPO                        SSAPO%201.0%20User%20Guide.pdf

Documents

  • Shi, G.L.*, Xu, J., Peng, X., Xiao, Z.M., Chen, K., Tian, Y.Z., Guan, X.B., Feng, Y.C., Yu, H.F., Nenes, A., Russell, A.G*. pH of Aerosols in a Polluted Atmosphere: Source Contributions to Highly Acidic Aerosol. Environmental Science & Technology, 2017, 51, 4289−4296.
  • Shi, G.L., Peng, X., Huangfu, Y.Q., Wang, W., Xu, J., Tian, Y.Z., Feng, Y.C.*, Ivey, C.E., Russell, A.G. Quantification of source impact to PM using three-dimensional weighted factor model analysis on multi-site data. Atmospheric Environment, 2017, 160, 89-96.
  • Shi, G.L., Xu, J., Peng, X., Tian, Y.Z., Wang, W., Han, B., Zhang, Y.F., Feng, Y.C., Russell, A.G. Using a new WALSPMF model to quantify the source contributions to  PM2.5 at a harbour site in China. Atmos. Environ. 2016, 126, 66‐75. http://www.sciencedirect.com/science/article/pii/S1352231015305537/pdfft…
  • Maier, M.L., Balachandran, S., Sarnat, S.E., Turner, J.R., Mulholland, J.A., Russell, A.G. Application of an Ensemble‐Trained Source Apportionment Approach at a Site Impacted by Multiple Point Sources. Environ. Sci. Technol. 2013, 47, 3743−3751. http://pubs.acs.org/doi/pdfplus/10.1021/es304255u
  • Marmur, A., Unal, A., Mulholland, J.A., Russell, A.G. Optimization‐Based Source Apportionment of PM2.5 Incorporating Gas‐to‐Particle Ratios. Environ. Sci. Technol. 2005, 39, 3245‐3254.  http://pubs.acs.org/doi/pdfplus/10.1021/es0490121