Use of dispersion modeling and a differential optical absorption spectroscopy (DOAS) monitor for improving pollution prevention procedures around an industrial site

摘要

Several procedures have been used in the past 20 years for limiting pollution peaks around industrial sites in the lower SEINE Valley, in France. Some deal with general anticyclonic situations where pollutant dispersion is very slow. Some newer procedures deal with 'plume type' peaks where steady winds direct pollution toward communities nearby. In order to demonstrate improvement possibilities of these procedures, two measurement campaigns have been performed using several techniques including: (1) Dispersion models (both Gaussian and Lagrangian). The dispersion models were used both a predictive tools and a-posteriori to judge the effect of emission reduction. The models were part of the ADSO software suite from Aria Technologies. (2) A long path (integrating) monitor, the SANOA UV-DOAS, in order to assess average pollutant concentrations along a line as opposed to point monitoring. During this program, an original set-up for checking the performances and calibration of DOAS instruments was developed at INERIS. (3) A large set (11) of point monitors for SO2. (4) Several wind sensors, including ultrasonic anemometers, and a SOund raDAR (SODAR). (5) Mesoscale wind forecasts (the ALADIN prediction from METEO France). During the campaign, all data was collected in real time and wind model predictions were input periodically into dispersion models. Measurement and model data have been analyzed a-posteriori to determine a better tailoring of emission reduction to real situations. The European Commission supported this program through the LIFE financial instrument.