RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Integrated GIS and air dispersion modeling approach for roadside pollutant mapping: a case study in Baguio City, Philippines

        Roseanne V. Ramos,Ariel C. Blanco 대한공간정보학회 2022 Spatial Information Research Vol.30 No.3

        Air quality reports in the Philippines are primarily based on ground measurements from only 75 regional monitoring stations across the country. The sparse distribution of monitoring stations translates to the lack of a comprehensive and sufficient air quality information in urban areas. In Baguio City, one of the highly polluted cities in the Philippines, the ambient air quality condition is based on data from a single continuous monitoring station located in its Central Business District (CBD), failing to quantify pollution levels near roads. This study aims to provide reliable information on roadside air quality, particularly coarse particulate matter (PM10), in the CBD using Geographic Information Systems (GIS) and numerical modeling techniques. Vehicular traffic was identified as a significant contributor in the poor air quality in Baguio City, hence, an air dispersion model characterizing the effect of vehicular emissions was developed. The PM10 dispersion model combined with geostatistical techniques generated detailed roadside concentration estimates with low mean prediction errors (0.0003 to 0.0008 lg/m3) and low root mean square error (2.95 to 5.43 lg/m3). Results describe the spatio-temporal variations of roadside PM10 and indicate that high PM10 concentrations occur on roads with high vehicular emissions in northern CBD during nighttime conditions. Wind velocity variations have significant effects on the PM10 dispersion, as observed on the hourly pollution maps. As demonstrated in this study, integrating GIS, dispersion modeling and geostatistical techniques can address the information gap in reporting roadside air quality of urban areas with limited number of monitoring stations.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼