Area of influence (AOI) development: Fast generation of receptor-oriented sensitivity fields for use in regional air quality modeling

Habermacher, FD; Napelenok, SL; Akhtar, F; Hu, YT; Russell, AG

HERO ID

607268

Reference Type

Journal Article

Year

2007

Language

English

PMID

17612181

HERO ID 607268
In Press No
Year 2007
Title Area of influence (AOI) development: Fast generation of receptor-oriented sensitivity fields for use in regional air quality modeling
Authors Habermacher, FD; Napelenok, SL; Akhtar, F; Hu, YT; Russell, AG
Journal Environmental Science & Technology
Volume 41
Issue 11
Page Numbers 3997-4003
Abstract An approach is developed and tested to extend discrete, source-based sensitivity results to provide a complete set of information for source-air quality impacts, including inversion of those results to develop receptor-oriented source-impact sensitivities. First, the decoupled direct sensitivity analysis method in 3D (DDM-3D) is used to calculate a finite number of forward sensitivities from discrete points. These results are then interpolated using tessellation to provide complete fields of forward, emissions-based sensitivities, i.e., how emissions in any one grid cell within the domain impact any other cell. Receptor-oriented sensitivities are then found by inverting the set of forward sensitivities and can be used to identify the area of influence (AOI). This economically provides results similar to what would be found using an adjoint model. The present approach is computationally less intensive than adjoint modeling for a large number of receptors, and provides both source-oriented and receptor-oriented pollutant response fields that can be used for air quality management and health impact analyses. The forward sensitivity interpolation procedure, as well as the receptor-oriented sensitivities, is evaluated using data withholding.
Doi 10.1021/es0621501
Pmid 17612181
Wosid WOS:000246843300029
Is Certified Translation No
Dupe Override No
Comments Source: Web of Science WOS:000246843300029
Is Public Yes
Language Text English
Is Qa No