정지가동상태에서 자동차에 의한 오염물질 배출에 관한 연구 = A Study on the Level of Exhaust Emission of Motor Vehicles on Idling Condition
This study was conducted to evaluate the levels of exhaust emission of vehicles from Yesan Gun area. During 1995 through 1996, 360 vehicles were sampled randomly and analyzed by vehicle owner's characteristics, owner's vehicle manufacturing companies, owner's vehicle purchase types(new or used), owner's vehicle residence, owner's vehicle types, vehicle fuels used, vehicle mileages, and vehicle model years, also vehicle exhaust emissions on idling condition were measured. To evaluate the exhaust emissions of the diesel engine vehicles(n=140) by particulate, those of the gasoline engine vehicles (n=220) were examined by CO and HC.
The results were as follows;
1. The frequency of vehicle owner's gender was 287 persons in male and 18 persons in female, whereas that of vehicle purchase types(new or used) was 306 persons in new vehicles and 53 person in used vehicles.
The frequency of owner's vehicle residence was 214 persons in town area and 144 persons in rural area, whereas that of owner's vehicle manufacturing companies was 141 persons in A company vehicles, 141 person in B company, 42 persons in C company, and 35 persons in D company.
2. The mean value of vehicle model years was 3.2±2.9 years in gasoline engine vehicles and 3.1±1.8 years in diesel engine vehicles, whereas that of vehicle mileage was 5.6±4.3(10,000Km) in gasoline engine vehicles and 6.1±6.5(10,000Km) in diesel engine vehicles. But no significant difference in vehicle model years and vehicle mileages between the diesel engine vehicles and the gasoline engine vehicles was observed
The mean value of vehicle exhaust emission of CO or HC was 0.70 ± 1.75 ppm (CO) and 93.29 ± 127.96 ppm (HC) in gasoline engine vehicles, respectively, whereas that of vehicle exhaust emission of particulate was 34.31 ± 12.02 in diesel engine vehicles.
3. In pearson's correlation analysis of gasoline engine vehicles, HC was correlated with CO(r=0.64, p=0.0001), vehicle mileage(r=0.25, p=0.0002), vehicle model year(r=0.23, p=0.0006), and remnant period of regular exhaust emission examination(r=0.09, p=0.1925).
In pearson's correlation analysis of diesel engine vehicles, particulate was correlated with remnant period of regular exhaust emission examination(r=0.16, p=0.0599), vehicle model year(r=0.09, p=0.2745), and vehicle mileage(r=0.01, p=0.8297).
4. Multiple linear regression analysis using CO as dependent variable and selected variables(owner's gender, owner's age, vehicle manufacturing company, vehicle purchase type, remnant period of regular exhaust emission examination, vehicle mileage, and vehicle model year) as independent variables, revealed that none of them was significant to the dependent variable.
Multiple linear regression analysis using HC as dependent variable and selected variables as independent variables, revealed that owner's gender was significant(p=0.012) to the dependent variable, and vehicle model year was marginally significant(p=0.063).
Multiple linear regression analysis using particulate as dependent variable and selected variables as independent variables, revealed that vehicle model year was significant(p=0.015) to the dependent variable, and vehicle mileage was marginally significant(p=0.096).
5. Logistic analysis of the excess of exhaust emission criteria of CO with selected independent variables(owner's gender, owner's age, vehicle manufacturing company, vehicle purchase type, remnant period of regular exhaust emission examination, vehicle mileage, and vehicle model year) indicated that only vehicle model year was significant to the dependent variable(odds ration=1.233, 95% confidence interval : 1.094- 1.389).
Logistic analysis of the excess of exhaust emission criteria of HC or particulate with selected independent variables indicated that none was significant to the dependent variable, respectively.
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