12:00 PM - 12:15 PM
[AAS07-25] Atmospheric transport and dispersion modelling of particulate matter from multiple sources in the Haifa bay area
Keywords:urban air quality, climatological analysis, pollutant dispersion modeling, turbulence statistics, particulate matter
The aim of this study was to expand the IIBR (Israel Institute for Biological research) in-house Lagrangian stochastic pollutant dispersion model in order to be able to provide a details three-dimensional description of the transport of dispersion of particulate matter, PM, which originates simultaneously from various sources in the Haifa bay area (HBA).
The study comprises of two parts. The first part consists of climatological analysis in order to characterize the micro-meteorology of Mount Carmel and the HBA. The second, involves Lagrangian-stochastic model (LSM) simulations for the two rush-hour periods of the day, namely the morning period, between 0800 – 0900 h, and the evening period, between 1800 – 1900 h.
The first part describes of analysis of data from a weather stations’ network which consisted of 16 stations, 10 in Mount Carmel and 6 in the Zevulun valley. This lead to a parametrizations for the turbulent momentum fluxes and a description of the distributions of atmospheric stability and diurnal wind pattern in the HBA. In addition, the morphological parameters in the canopy roughness sub-layer were statistically analyzed and the inventory data of pollution sources in the HBA, was converted into gridded surfaces. These sources originate from human activity, i.e., emissions of traffic and industrial facilities.
The LSM simulations were performed for the two rush-hour periods of the day and described a three-dimensional transport and dispersion of both PM10 and PM2.5. The LSM concentrations that were calculated for ground level were compared to three air quality monitoring stations that are located downstream in the affected area of the PM sources in the HBA (Figure). The LSM predictions for PM2.5 satisfy all acceptance criteria. Regarding the PM10 predictions, the LSM results comply with three out of four acceptance criteria.
The analysis of the three-dimensional concentration fields provided by the LSM has shown that the PM concentrations at 15 m AGL (above ground level) are very similar to the concentrations at ground level. The concentrations at 45 m AGL exhibit similar spatial pattern as in lower altitudes, however the nominal concentrations are smaller by factor of 2 approximately. This also applied to the concentrations at 105 m AGL, but while the overall pattern can be discerned, the concentration values are close to the background concentrations.
The study comprises of two parts. The first part consists of climatological analysis in order to characterize the micro-meteorology of Mount Carmel and the HBA. The second, involves Lagrangian-stochastic model (LSM) simulations for the two rush-hour periods of the day, namely the morning period, between 0800 – 0900 h, and the evening period, between 1800 – 1900 h.
The first part describes of analysis of data from a weather stations’ network which consisted of 16 stations, 10 in Mount Carmel and 6 in the Zevulun valley. This lead to a parametrizations for the turbulent momentum fluxes and a description of the distributions of atmospheric stability and diurnal wind pattern in the HBA. In addition, the morphological parameters in the canopy roughness sub-layer were statistically analyzed and the inventory data of pollution sources in the HBA, was converted into gridded surfaces. These sources originate from human activity, i.e., emissions of traffic and industrial facilities.
The LSM simulations were performed for the two rush-hour periods of the day and described a three-dimensional transport and dispersion of both PM10 and PM2.5. The LSM concentrations that were calculated for ground level were compared to three air quality monitoring stations that are located downstream in the affected area of the PM sources in the HBA (Figure). The LSM predictions for PM2.5 satisfy all acceptance criteria. Regarding the PM10 predictions, the LSM results comply with three out of four acceptance criteria.
The analysis of the three-dimensional concentration fields provided by the LSM has shown that the PM concentrations at 15 m AGL (above ground level) are very similar to the concentrations at ground level. The concentrations at 45 m AGL exhibit similar spatial pattern as in lower altitudes, however the nominal concentrations are smaller by factor of 2 approximately. This also applied to the concentrations at 105 m AGL, but while the overall pattern can be discerned, the concentration values are close to the background concentrations.