APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD
The online meteorological and chemical transport Weather Research and Forecasting with Chemistry (WRF-Chem) model is used to simulate air quality over Indonesia. GFS data were used for the WRF-Chem model as meteorological data input. The anthropogenic emissions database used as input was based on gl...
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id-itb.:311672018-01-15T10:23:54ZAPPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD FARKHAH MUFIDA NIM : 25315012, SWARI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/31167 The online meteorological and chemical transport Weather Research and Forecasting with Chemistry (WRF-Chem) model is used to simulate air quality over Indonesia. GFS data were used for the WRF-Chem model as meteorological data input. The anthropogenic emissions database used as input was based on global monthly emission data from EDGAR-HTAP and GOCART aerosol. Climatologic concentrations of particulate matter were generated from the Regional Acid Deposition Model (RADM) and the GOCART simple emission for input to the WRF-Chem model. The model was integrated for 60 hours, starting from 01 UTC on 14 February 2016 (for wet monsoon season) and 01 UTC on 14 August 2016 (for dry monsoon season). From the visual comparison, the WRF-Chem simulation results are able to capture wind variability during wet and dry monsoon in Indonesia, with sufficient correlation coefficient to the wind speed and direction of ERA Interim re-analysis data from ECMWF. Average surface temperature and relative humidity also have a good positive correlation with AWS station data from ISD NOAA. In addition, the PM10 concentration results could represent Indonesian population, number of vehicles, and industries as the sources of emission. Simulation results show that pollutant concentrations are dispersed following the dominat wind direction, towards East and Southeast in February, and towards West and Nortwest in August. The concentations of PM10, SO2, and NOx are higher at night than during the day due to the influence of atmospheric stability. Pollutants concentrations were also higher in August than in February due to the higher wet scavenging in rainy season. At Jakarta, as the example, PM10 concentration reach 302 µg/m3 at night in August. The present case study shows that the WRF-Chem model and the simulation method that had been done has an acceptable performance for dipersion simulation of PM10, SO2, and NOx concentration, and can be served as a reference for future air quality modeling in Indonesia. text |
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The online meteorological and chemical transport Weather Research and Forecasting with Chemistry (WRF-Chem) model is used to simulate air quality over Indonesia. GFS data were used for the WRF-Chem model as meteorological data input. The anthropogenic emissions database used as input was based on global monthly emission data from EDGAR-HTAP and GOCART aerosol. Climatologic concentrations of particulate matter were generated from the Regional Acid Deposition Model (RADM) and the GOCART simple emission for input to the WRF-Chem model. The model was integrated for 60 hours, starting from 01 UTC on 14 February 2016 (for wet monsoon season) and 01 UTC on 14 August 2016 (for dry monsoon season). From the visual comparison, the WRF-Chem simulation results are able to capture wind variability during wet and dry monsoon in Indonesia, with sufficient correlation coefficient to the wind speed and direction of ERA Interim re-analysis data from ECMWF. Average surface temperature and relative humidity also have a good positive correlation with AWS station data from ISD NOAA. In addition, the PM10 concentration results could represent Indonesian population, number of vehicles, and industries as the sources of emission. Simulation results show that pollutant concentrations are dispersed following the dominat wind direction, towards East and Southeast in February, and towards West and Nortwest in August. The concentations of PM10, SO2, and NOx are higher at night than during the day due to the influence of atmospheric stability. Pollutants concentrations were also higher in August than in February due to the higher wet scavenging in rainy season. At Jakarta, as the example, PM10 concentration reach 302 µg/m3 at night in August. The present case study shows that the WRF-Chem model and the simulation method that had been done has an acceptable performance for dipersion simulation of PM10, SO2, and NOx concentration, and can be served as a reference for future air quality modeling in Indonesia. |
format |
Theses |
author |
FARKHAH MUFIDA NIM : 25315012, SWARI |
spellingShingle |
FARKHAH MUFIDA NIM : 25315012, SWARI APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
author_facet |
FARKHAH MUFIDA NIM : 25315012, SWARI |
author_sort |
FARKHAH MUFIDA NIM : 25315012, SWARI |
title |
APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
title_short |
APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
title_full |
APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
title_fullStr |
APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
title_full_unstemmed |
APPLICATION OF WRF-CHEM AIR QUALITY MODEL ON ANTHROPOGENIC POLLUTANT (PM10, SO2, AND NOx) DISPERSION ANALYSIS OVER INDONESIA DURING MONSOON PERIOD |
title_sort |
application of wrf-chem air quality model on anthropogenic pollutant (pm10, so2, and nox) dispersion analysis over indonesia during monsoon period |
url |
https://digilib.itb.ac.id/gdl/view/31167 |
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