A programme of large-scale experiments for atmospheric dispersion was carried out by INERIS over a period extending from December 1996 to April 1997. The objectives of the test campaign were to measure anhydrous ammonia concentrations in a range of few meters to 2 km from the release, in order to generate data to be used to improve 2-phase discharge and dispersion modelling.
The discharges were released from a 6-tonne storage tank of pressurised liquid ammonia and through a discharge device with an outlet diameter of 2 in. Fifteen trials were carried out with various release configurations corresponding to industrial situations (impinging jets on the ground and on a wall at various distances, release through a flange without seal…). The quantity of ammonia discharged from the liquid phase varied according to the tests, from 1.4 to 3.5 tons for durations between 7 and 14 min and, therefore, at flow rates between 2 and 4.5 kg/s. Approximately 200 sensors were settled downwind to measure ammonia concentrations and temperature in the plume. These tests showed that for discharges with identical flow rates the distances corresponding to the same concentration vary a lot according to the configurations. These distances tend to be reduced by the presence of obstacles or retention dikes that collected liquid ammonia. In the paper, the main experimental results are presented. In order to enable the comparisons with numerical predictions, more detailed information are given in [Bouet R. (1999). Ammoniac—Essais de dispersion atmosphérique à grande échelle. INERIS rapport, ref INERIS-DRA-RBo-1999-20410 (available at http://www.ineris.fr/recherches/recherches.htm). 相似文献
A discriminate analysis method for probability forecast of dust storms in Mongolia has been developed. The prediction method
uses data recorded at 23 meteorological stations in the Gobi and steppe regions of Mongolia, including surface air pressure
and geo-potential height at the 500-hPa level on grid points, and weather maps from 1975 to 1990.
Weather elements such as air temperature, pressure, geo-potential height etc, which influence the formation of dust storms,
are prepared as predictors. To select the most informative/important predictors (variables), we used a mean correlation matrix
of variables together with the Mahalonobis distance, and correlation coefficients between dust storms and predictors with
an orthogonalization for removing correlated predictors. The most informative predictors for dust storm prediction are intensities
of surface cyclones and migratory anticyclones, passage of cold fronts, the horizontal gradients of the surface air pressure
in the cold frontal zone, cyclonic circulations from the ground surface up to the 500-hPa level, the geo-potential height
at 500-hPa level and its temporal changes.
Selected predictors are used in discriminate analysis for formulating dust storm prediction equations. Sandstorm data have
been classified into three classes, viz., strong, moderate and weak dust storms, depending on their intensities, durations
and areas covered. Predictions of the probabilities of dust storm occurrence use the prediction equations for each class.
The prediction is made from 12 hours to 36 hours.
Verification of the probability forecasts of dust storms is also shown. The accuracy of forecasts is 72.2–79.9% with the data
used for developing equations (dependent variables), in contrast to 67.1–72.0% with unrelated data for deriving equations
(independent variables). 相似文献