Impacts of Detailed Land-Use Types and Urban Heat in an Urban Canopy Model on Local Meteorology and Ozone Levels for Air Quality Modeling in a Coastal City, Korea

Yoon-Hee Kang, Sang-Keun Song, Mi-Kyeong Hwang, Ju-Hee Jeong, Yoo-Keun Kim
2016 Terrestrial, Atmospheric and Oceanic Sciences  
An urban canopy model (UCM), with detailed urban land-use and anthropogenic heat information, is required to reproduce and understand the urbanization process and its impact on regional climate and urban air quality. This study investigates the UCM impact on simulated meteorology and surface ozone in the coastal city of Busan using the WRF-SMOKE-CMAQ model coupled with (UCM case), and without the UCM (NOUCM case). The UCM and NOUCM case results suggest that UCM case generally produces warmer
more » ... produces warmer temperatures and deeper planetary boundary layer (PBL) heights, especially in the early morning and night time, than the NOUCM case. Owing to urban heating and enhanced turbulent mixing incorporation in the center of the city, the sea breeze in the UCM case tends to penetrate faster and more strongly than in the NOUCM case. After sea breeze arrival at the urban center, the urban heat island effect prevents its penetration further inland. In the UCM case in the late afternoon, local meteorological changes induce remarkable increases in simulated O 3 concentrations over the downwind (up to 17.1 ppb) and downtown (up to 10.6 ppb) areas. This is probably due to an increase in temperature in the urban areas and the wind convergence zone movement due to the sea breeze interaction and offshore flows. The increase in O 3 concentration in the late afternoon results in the model bias reduction under previously underestimated O 3 conditions due to high NOx emissions. The simulated O 3 concentrations in the UCM case are more similar to the observed O 3 concentrations compared to those of the NOUCM case. , 2016: Impacts of detailed land-use types and urban heat in an urban canopy model on local meteorology and ozone levels for air quality modeling in a coastal city
doi:10.3319/tao.2016.01.13.01(a) fatcat:pn4rkkobcjfptffezp5l52s2g4