AirWare
air quality assessment & management
Reference and User Manual
     
      AirWare   On-line Reference Manual
        Release Level 6.1
        Release Date 2012 05
        Revision Level 1.0
      Last modified on:   Thursday, 19-Jul-12 11:17 CEST

      Environmental Impact Assessment: assessment results

      Assessment results

      The primary assessment result is a matrix of average annual concentrations In the domain source, shown as a color coded map overlay. The parallel statistical information includes:
      • the annual limit value for the substance simulated;
      • annual average and maximum concentration in the model domain;
      • areal extent where a (user defined) reference concentration (annual average) is exceeded;
      • for all building points or receptor points in the area, average, maximum hourly concentration and the number of hourly violations of a user defined reference value.
      The assessment can be embedded into a rule-based screening level EIA framework that provides a checklist of issues and criteria that are evaluated by classifying and interpreting the model results with a set of first-order production rules.

      Receptor Points

      Hourly values are extracted for all Receptor Points. These time series of hourly data for these locations are summarized in terms of:
      • annual average of hourly values;
      • hourly maximum during the year;
      • number of exceedances (hours) for the applicable hourly air quality standard.

      Buttons in the header of the receptor point list can

      • show:   toggle the display list,
      • recacl:   recalculate the values, e.g., after adding a new location, or modifying the reference calue (air quality standard);
      • export the time series data in CSV format.

      Compliance

      The time series extracted for each location can be further analyzed against a user-defined air quality standard, countingthe number of violations and computiung basic statistcis of the time series.

      Analysis of exceedances

      The spatial distribution of exceedances, and the statistics of the corresponding matrices are accessible in a separate bapge, triggered by the button in the main scenario header: Maxima.

      Complex optimization

      For a given source, the user can specify several emission control strategies (they can be mutually exclusive or freely combined) with their associated emission reduction efficiencies and cost functions (annualized investment, operating costs), as well as technical measure such as different stack height with their associated costs. The model find the minimum cost configuration to meet a set of user defined constraints. From the set of feasible solutions, an optimal solution can be found using a discrete multi-criteria optimization tool.

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