The atmospheric stability is one of the most important factors concerning with the atmospheric diffusion of pollutants.
For studying the air pollution potential in the wide plain area, a simple semiquantitative method which expresses the periodical variation of the stability was developed and applied to Osaka area.
There are 20 stations in the air monitoring network of Osaka Prefecture. For every air monitoring stations, the hourly differences of air temperature between the station and the top of Mt. Ikoma (626 meter high) were accumulated in time series. These accumulated values were displayed graphically. The figures thus obtained were called the accumulation curve of air temperature difference (TDA Curve). The time scale was taken from 9 o'clock of previous night to 9 o'clock in the morning. These TDA curves were classified into several typical patterns, and the relationship between the type of pattern of TDA curve and observed hourly average SO₂ concentrations was analyzed. The observed of the data from November '71 to March '72 were used in this report. The results are as follows:
1. The type of TDA curves were classified into three basic patterns (A, B, & C) and three variations (C-1, C-2 & C-3).
2. These patterns of TDA curves, based upon meteorological factors, also represent local characteristics around each monitoring station in the plain area.
3. Using threse patterns of TDA curves, the high concentration of SO₂ episode was successfully predicted.
4. These facts prove the capability of this predictive method of air pollution.

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Ozone effect on the glutathione (GSH) content of mouse lung was studied.
In acute experiments mice were exposed to various concentrations of O₃ ranging from 1.2 to 8.2 ppm for 4 hours. There was a significant decrease in GSH content immediatly after the exposure to 8.2 ppm O₃; however, there was no changes in GSH content of mouse exposed to below 4.0 ppm O₃. Two days after the exposure to 4.0 ppm O₃, GSH content increased, and the level of the GSH content lasted for several days.
In chronic experiments mice were expoed to 0.2, 0.5 and 1.0 ppm of O₃ 4 hours daily for 30 days, respectively. There was a progressive increase in GSH content according to the concentrations of O₃ and period of exposure. In addition, the activities of peroxidative metabolic pathway enzymes (glucose-6-phosphate dehydrogenase, glutathione reductase and glutathione peroxidase) increased in lungs of mice exposed repeatedly. Those mice exposed repeatedly for 7 days were found to be resistant to subsequent challange with lethal doses of O₃.
These results suggest that the enzyme activites of peroxidative metabolic pathway as well as GSH levels in lungs are usable as sensitive biochemical indicators of chronic effects of low concentrations of O₃.

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Vitamin C (VC) levels in mouse lung decreased significantly following acute exposure to 1.2 ppm O₃ or higher for 4 hours, and returned to control levels 24 hours after exposure. In repeated exposure (0.2 to 1.0 ppm O₃, 4 hours daily, 30 days), there was a progressive increase in VC levels in lung according to the concentrations of O₃ and exposure period; however, the rate of increace in VC level was lower than that in glutathione.
Administration of VC retarded partially the biochemical changes in lung caused by the repeated exposuie to O₃.

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It is necessary to establish more rational model of Air Pollutants.
Usually the Cumulative Frequency Distribution of Sulfur Oxides are treated as a Log-Normal Distribution. But, in many cases this assumption is not satisfied sufficiently.
In this paper the Cumulative Frequency Distribution of C+C', where C is a Original Data and C' is a Constant Value obtained from the curve of Cumulative Frequency Distribution plotted on Log-Normal Probability Paper by least mean square method, treated approximately Log-Normally Distributed.
Only, we know the Arithmetic Mean Value and Frequency-Distribution of Annual Observed Date C, we can describe the Distribution of C+C'.
By this method, percentile value of air pollutant C can be obtain easily and we can estimate the characteristics of air pollutants more vividly.

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The Cumulative Frequency Distribution of C+C', where C is a Original Data of Sulfur Oxides and C' is a Constant Value obtained from the curve of Cumulative Frequency Distribution plotted on Log-Normal Probability Paper, shows approximately Log-Normal Distribution.
In order to control air pollutions we have to know the relationship between Annual Mean and percentile value.
In this paper, a fundamental approach is proposed to forcast the Annual Mean, using the movement of the distribution in Log-Normal Probability Paper.
When the Standard value A (ppb) and not exceed frequency below A ppb are proposed as a Environmental Standard, “What's Level of Annual Mean Concentration is acceptable” are discussed.

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