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Dyah Lukita Sari
Pusat Penelitian dan Pengembangan, Badan Meteorologi Klimatologi dan Geofisika Jln. Angkasa I No. 2 Jakarta
Aerospace Engineering Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Physics

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INFLUENCES OF METEOROLOGICAL PARAMETERS AND OZONE PRECURSORS TO NEURAL NETWORK MODEL IN OZONE TROPOSPHERIC CONCENTRATION (STUDY IN BANDUNG CITY) Dyah Lukita Sari; R. Driejana
Widyariset Vol 14, No 3 (2011): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.536 KB) | DOI: 10.14203/widyariset.14.3.2011.615-622

Abstract

As an air pollutant, the fate of ozone is determined by the movement and chemistry of atmospheric dynamics and the precursors of ozone are emitted from the source. In that case the effect of each of meteorological param- eters and ozone precursors need to be known so that the ozone concentration can be predicted. In this research the concentration of ozone precursors (NO and NO2), temperature, solar global radiation, humidity, and wind speed as meteorology parameters were used as input in artifi cial neural network program to obtain model which can predict concentration of tropospheric ozone in Bandung city. The relation between ozone precursors concentration and meteorological parameters to ozone concentration was indicated by the correlation value. Positive correlation values, the increase in ozone concentration, was infl uenced by variables of temperature and solar radiation. A negative correlation value, the decline in ozone concentration, is affected by humidity variables. Modelling results indicate that the use of temperature and concentrations NO2 as data input appeared to be a dominant contributors rather than the other input parameters.
INFLUENCES OF METEOROLOGICAL PARAMETERS AND OZONE PRECURSORS TO NEURAL NETWORK MODEL IN OZONE TROPOSPHERIC CONCENTRATION (STUDY IN BANDUNG CITY) Dyah Lukita Sari; R. Driejana
Widyariset Vol 14, No 3 (2011): Widyariset
Publisher : Pusbindiklat - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.536 KB) | DOI: 10.14203/widyariset.14.3.2011.615-622

Abstract

As an air pollutant, the fate of ozone is determined by the movement and chemistry of atmospheric dynamics and the precursors of ozone are emitted from the source. In that case the effect of each of meteorological param- eters and ozone precursors need to be known so that the ozone concentration can be predicted. In this research the concentration of ozone precursors (NO and NO2), temperature, solar global radiation, humidity, and wind speed as meteorology parameters were used as input in artifi cial neural network program to obtain model which can predict concentration of tropospheric ozone in Bandung city. The relation between ozone precursors concentration and meteorological parameters to ozone concentration was indicated by the correlation value. Positive correlation values, the increase in ozone concentration, was infl uenced by variables of temperature and solar radiation. A negative correlation value, the decline in ozone concentration, is affected by humidity variables. Modelling results indicate that the use of temperature and concentrations NO2 as data input appeared to be a dominant contributors rather than the other input parameters.
Co-Authors R. Driejana