A Comparative Validation of the RAM and PTMTP Models for Short-Term SO₂Concentrations in Two Urban Areas

A Comparative Validation of the RAM and Modified SAI Models for Short Term SO2Concentrations in Detroit

“…While its overall capability to predict the temporal and spatial behavior of the SO2 concentration is limited, its capacity to predict the magnitude of the worst events is quite good, and there is no overprediction as found by Guldberg and Kern. 4 …”

“…Since publication of the guidelines there has been one published validation study of RAM, that of Guldberg and Kern. 4 Unfortunately their results indicated that the RAM Urban model "was highly inaccurate in predicting maximum short-term SO2 concentrations." Overpredictions of factors of two or three were observed.…”

Evaluation of RAM Model for Cleveland, Ohio, Part II

“…Several other distributions similar in shape to the lognormal distribution may also be useful models for describing air pollution data. 1 One such model is the pseudo-lognormal distribution (PLD) that has been derived by Preston and Norris. 2 In this note, the …”

“…With the increasing emphasis on shortterm atmospheric dispersion modeling for regulation development in recent years, several studies 1 " 4 have been performed to evaluate the accuracy of these models. Hodanbosi and Peters 5 completed an analysis comparing the predicted and observed concentrations of SO2 in Cleveland, Ohio for 24-h averaging times using the RAM (Urban) 6 model.…”