도로 비산먼지(PM10) 농도에 영향을 미치는 요인 분석

서지정보

ㆍ발행기관 : 한국도로학회 ㆍ수록지정보 : 한국도로학회논문집 / 25권 / 3호
ㆍ저자명 : 조정연, 홍성진, 류호준, 이민철, 김인태

목차

ABSTRACT
1. 서론
1.1. 연구의 배경 및 목적
1.2. 연구의 범위 및 방법
2. 선행연구 검토
3. 도로 비산먼지 측정 및 분석방법
3.1. 조사구간 개요
3.2. 도로 비산먼지 측정 방법
3.3. 교통·기상·환경 데이터 수집 방법
4. 도로 비산먼지 발생 요인 분석
4.1. 속도에 따른 도로 비산먼지의 발생
4.2. 교통량 수준에 따른 도로 비산먼지의 발생
4.3. 기상·환경 조건에 따른 도로 비산먼지의 발생
4.4. 다중회귀분석기반 도로 비산먼지 영향요인 분석
4.5. 모형 예측식 및 적정성 검증
5. 결론
REFERENCES

영어 초록

PURPOSES : This study predicts the concentration of suspended road dust (PM10) by analyzing meteorological, traffic, and atmospheric environmental data acquired at various angles, and attains a comprehensive understanding of the influencing factors of suspended road dust.
METHODS : Experimental field methods were applied and statistical analyses were conducted. Field experiments were conducted using a vehicle-based measurement of suspended dust (PM10) to measure its concentration at the measurement site while maintaining a constant driving vehicular speed. Statistical analysis demonstrated the effects of the concentration of suspended dust on changes in meteorological and environmental factors and lanes per traffic volume at the time of measurement. Finally, a multiple linear regression model was applied to identify the factors which affected the generation of suspended dust.
RESULTS : The analysis of suspended road dust concentrations according to the lanes per traffic volume and environmental factors showed that suspended dust concentrations increased at increasing driving speeds. In addition, the background concentration at the monitoring station was higher at high-wind speeds (>3.0 m/s) than at low-wind speeds (<1.6 m/s), but the suspended dust concentrations were higher at low-wind speeds. During the temperature inversion period from evening to morning, the suspended effects of traffic and meteorological factors were greater than the background concentration at the station. Multiple linear regression analysis showed that excluding yellow-dust days, which are known to affect atmospheric pollution levels, the accuracy of the model improved and resulted in increases in background PM10, vapor pressure, sea-level pressure, visibility, after-rainfall time, and in decreases in insolation and precipitation during low-wind speed conditions.
CONCLUSIONS : At low-wind speeds, 5 days after rain, and when the relative humidity was higher than 72%, suspended dust was found to be higher than atmospheric PM10 concentration and may increase at increasing driving speeds and section lane traffic volumes. However, the volume of measured data in this study is limited to determining the patterns of suspended dust, as the silt loading of the operational road or the effects of prominent variables were not considered in this study. However, we identified prominent factors related to road-suspended dust for real-time road-dust predictions.

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