Presentation on theme: "Yoojung kim Air Pollution Modeling Lab. Dept. Environmental Engineering, Konkuk Univ. Seoul, Korea."— Presentation transcript:
Yoojung kim Air Pollution Modeling Lab. Dept. Environmental Engineering, Konkuk Univ. Seoul, Korea.
Introduce of Konkuk Univ. since 1946 No. of Student : 18,856 (2001) faculty : 590 (2001) The undergraduate school 13 colleges 58 major fields the graduate school 54 major fields on the master's level 41 major fields on the doctoral level
Introduce of Air Pollution Modeling Lab. Faculty Prof. Young Sunwoo Research Regional/Local scale air quality Air pollution modeling, measurement & analysis, EIA Project Long-Range Transboundary Air Pollutants In background area (collaboration with 4 Univ.) Regional air quality measurement 5 stations Emission inventories for air pollutants (collaboration with 2 Univ.) Developing on emission factor for anthropogenic VOCs in Korea (ex. Printing, dry cleaning, gas station) Members 6 post-graduate collaborator 9 graduate students
The study of fugitive dust impact under construction Title The study of fugitive dust impact under the secondary construction of Inchon International Airport Purpose The prediction of fugitive dust concentration on the airport facility & the residence site nearby construction site of the Inchon airport extension and mountain cutting (the source of fill up the field) The possible abrasion influence for aircraft Period Oct. 2002 ~ July 2003 (10 months)
Inchon International Airport reclaim field Passenger Terminal Building runway
Inchon International Airport Map Main Source (2005) Reclaim land from the sea to build a new airport Main Source (2007)
Emission of fugitive dust Emission Source Blasting, Crush Plant Transit Paved load, Unpaved load Reclaimation Transfer of equipment in the work area, Pre-loading Emission factor by EPA, NDC Critical parameter of Emission factor silt ratio, wind speed, wet-day per year Two case 2005 & 2007 year
Meteorological data & Parameter for Model Use the ISCST3 (Inderstrial Source Complex) Model Gaussian model Useful for non-reaction pollutant Meteorological data The data from the AWS at Inchon airport(2001) Wind direction, wind speed, temp., stability, mixing height Domain 13km x 10km Receptor Grid (500m by 500m) Add on the receptor point at Airport facility & residence Pollutant PM10 Annual/24h average conc.
Discussion In 2005, the level of ambient PM10 conc. would not meet air quality standard The residence area nearby the source (mountain) In annual/24h average Air quality standard of PM10 70 ㎛ / ㎥ (annual avg.) and 120 ㎛ / ㎥ (24h avg.) In 2007, meet air quality standard at the residence and the airport Crush Plant is the important source of PM10 Dust influence for aircraft Very little reference are available so far Based on wind-blown dust events experience(100~500 ㎍ / ㎥ ), the level of conc. from the construction (maximum 200 ㎍ / ㎥ ) may not be very critical. Need further investigation
The study of the Long-range Transboundary Air Pollutant in the background conc. area Purpose Building monitoring Network for the long-range transport air pollution in north-east Asia (Korea, China and Japan) The measurement of air pollutant conc. in remote area The analysis of the behavior of air pollutant in conjunction with the meteorological analysis Compilation of monitoring data
The Location of observation site 5 site (Ganghwa, Taean, Geoje, Goseong, Gosan)
History 1st project(1995~1999) The study of the long-range transboundary air pollutant in north-east Asia & collaboration for preservation of Environment 1st year(1995) Determination of measurement method at surface station and analysis. 2nd year(1996) Continue measurement Add DMS meteorological analysis international research
3rd year(1997) Add measurement station(3 in Korea, 1 in China) Total 7 measurement station Add PM10 on measurement list Measurement DMS(at Gosan), MSA(at Ganghwa) & Estimate emission amount Estimate incoming quantity of air pollutant 4th year intensively measurement in 3 period at 6 station Measurement Every 6 day Estimate dry deposition Estimate incoming quantity of air pollutant Comparison with other country’s data Enhancing data quality
2nd project(2000~2003) The study of the Long-range Transboundary Air Pollutant in the background conc. area 1st year(2000) Continue analysis for 1st Project (for four years) Measurement of aerosol size distribution VOCs monitoring Measurement in background area 2nd year(2001) Enhancing cooperative network of remote monitoring for better data quality in background area 3rd year(2002) Back trajectory Analysis from PM2.5 mass conc. & ionic conc. of soluble property Intensively measurement of PM2.5 (March, April, December)
MESUREMENT ITEMS Measurement Categories PM 10, PM 2.5, aerosol size distribution, elemental properties, major gas species, VOCs, carbon species and metals Each category have been measured for once a day Analysis Categories Mass conc. (PM 10, PM 2.5. size distribution) Water-soluble ionic elements of PM 10, PM 2.5 Cl-, NO3-, SO42-, HCl, HNO3, NH3, Na+, NH4+, K+, Mg2+, Ca2+ Carbon analyze OC, EC (Organic Carbon, Elemental Carbon) metals elements Fe, Al, Ca, K, Na, Mg, S, Zn, Pb, Ti, Mn, Cu, V, Sr, Ni, Ba, Cd, Cr VOCs VOCs were detected which based on POCP (Photochemical Ozone Creation Potential) Measurement period Three times a year (During consequently 15days-April, 10days-May, 10days- november) West wind is the prevaily wind direction for spring/fall
Characteristics Among Site (2002. March, April, Dec.) Overall PM 2.5 mass ANOVA(p<0.05) : Group Ⅰ (KH,TA, GS), Group Ⅱ (KS, GJ) Group 1 Group ІІ
Define geographical sectors for back trajectory analysis
Back Trajectory Analysis Among 5 Sites (2002. March, April) 2002. 3. 5 2002. 3. 10 Sector Ⅰ Sector Ⅱ
PM 2.5 mass Sector Ⅰ (3/5), Ⅱ (3/10) : highest PM 2.5 mass conc., Except GJ Sector Ⅲ (4/22) : lowest PM 2.5 mass conc., From south sea S ІS ІІS ІІІ S Ⅳ
Plan Need for quantitative transport analysis LRT analysis using CTM is required (ex. STEM) Mainly focus on aerosols (my interest) Gas phases modeling will be conducted by one of my colleague. Initial step for STEM will be a tracer mode for aerosol.
What I did in Iowa Learning “how to” run MM5 Learning “how to” import emission data Learning “how to” run STEM What I will do in Seoul Install & Run MM5/STEM Building cluster system (maybe 5 node or more)
Appreciation prof. Carmichael, prof. Sunwoo Dr. Tang, Ms. Tongboonchoo, Dr. Woo, Mr. Hwang, Mr. Jeremie moen, Ms. Frank and thens Thank you