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Volume 10, issue 11
Geosci. Model Dev., 10, 4245–4256, 2017
https://doi.org/10.5194/gmd-10-4245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 10, 4245–4256, 2017
https://doi.org/10.5194/gmd-10-4245-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Methods for assessment of models 24 Nov 2017

Methods for assessment of models | 24 Nov 2017

Source apportionment and sensitivity analysis: two methodologies with two different purposes

Alain Clappier et al.
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Blanchard, C. L.: Methods for attributing ambient air pollutants to emission sources, Annu. Rev. Ener. Env., 24, 329–365, 1999.
Burr, M. J. and Zhang, Y.: Source-apportionment of fine particulate matter over the Eastern U.S. Part II: source apportionment simulations using CAMx/PSAT and comparisons with CMAQ source sensitivity simulations, Atmos. Pollut. Res., 2, 318–336, 2011a.
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This work demonstrates that when the relationship between emissions and concentrations is nonlinear, sensitivity approaches, generally used for air quality planning, are not suitable to retrieve source contributions and source apportionment methods are not appropriate to evaluate the impact of abatement strategies on air quality. A simple theoretical example is used highlighting differences and potential implications for policy.
This work demonstrates that when the relationship between emissions and concentrations is...
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