Area of Influence (AOI) Development: Fast Generation of Receptor-Oriented Sensitivity Fields for Use in Regional Air Quality Modeling

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• 作者：Florian D. Habermacher ; Sergey L. Napelenok ; Farhan Akhtar ; Yongtao Hu ; Armistead G. Russell
• 刊名：Environmental Science & Technology
• 出版年：2007
• 出版时间：June 1, 2007
• 年：2007
• 卷：41
• 期：11
• 页码：3997 - 4003
• 全文大小：351K
• 年卷期：v.41,no.11(June 1, 2007)
• ISSN：1520-5851

文摘

An approach is developed and tested to extend discrete,source-based sensitivity results to provide a complete set ofinformation for source-air quality impacts, includinginversion of those results to develop receptor-oriented source-impact sensitivities. First, the decoupled direct sensitivityanalysis method in 3D (DDM-3D) is used to calculate a finitenumber of forward sensitivities from discrete points.These results are then interpolated using tessellation toprovide complete fields of forward, emissions-basedsensitivities, i.e., how emissions in any one grid cell withinthe domain impact any other cell. Receptor-orientedsensitivities are then found by inverting the set of forwardsensitivities and can be used to identify the area ofinfluence (AOI). This economically provides results similarto what would be found using an adjoint model. Thepresent approach is computationally less intensive thanadjoint modeling for a large number of receptors, and providesboth source-oriented and receptor-oriented pollutantresponse fields that can be used for air quality managementand health impact analyses. The forward sensitivityinterpolation procedure, as well as the receptor-orientedsensitivities, is evaluated using data withholding.