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All Journal IPTEK Journal of Proceedings Series Jurnal Riset Kesehatan Poltekkes Depkes Bandung
Nadiyatur Rahmatikal Wasiah
Institut Teknologi Bandung
Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Modelling of Tropospheric Ozone Concentration in Urban Environment Wasi’ah, Nadiyatur Rahmatikal; Driejana, Driejana
IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2017i6.3279

Abstract

Tropospheric ozone is harmful to human health and plants. It is resulted from photochemical processes involving NOx and VOCs from reactions of motor vehicle emissions and solar radiation in polluted urban environment. Historical data in Jakarta indicated that ozone concentrations often exceeded ambient standard threshold.  To minimize its impact to human health it is important to predict its concentration. This paper reports the use of multivariate statistical method to predict ozone concentration, using precursor concentration and meteorological parameters.  CH4, CO, NMHC, NO, NO2, THCdata concentration, wind direction and speed, temperature, solar radiation and relative humidity during 2011 - 2012 were used to build the model. Multiple linear regressions were applied to predict ozone concentration at Thamrin Station, Jakarta. These data were used as predictors at time (t) to estimate the ozone concentration at time (t +1). Meteorological conditions were found to strongly affect the concentration of ozone. The strongest relationship was found between ozone and temperature (0.513, p = 0.000). Weaker but significant positive correlations were found for  solar radiation and NO2 (r = 0.242, p= 0.000),. NMHC and NO correlation (r= 0.353, p= 0.000).  Both NO and NMHC are freshly emitted from exhaust gas.  Correlations between humidity, wind speed and direction were negative. Methana, NMHC, were negatively correlated with ozone due to their roles for producing NO2 as the main precursor, while NO was for its scavenging reaction with O3. Based on Adjusted R2 value, all predictors could explain variation in ozone concentration of approximately 46.32%. These findings will be useful as input in urban transportation planning and management in cities with tropical climate like Indonesia, as all precursors are emitted from vehicle combustion.
Kinetika Formaldehida (HCHO) Dan Ozon (O3) Di Daerah Urban (Studi Kasus Jakarta): (CASE STUDY: JAKARTA) Nadiyatur Rahmatikal Wasiah; Driejana Driejana
JURNAL RISET KESEHATAN POLTEKKES DEPKES BANDUNG, Online ISSN 2579-8103 Vol 12 No 1 (2020): Jurnal Riset Kesehatan Poltekkes DepKes Bandung
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.495 KB)

Abstract

Formaldehyde (HCHO) is a toxic compound and plays an important role in atmospheric chemical reactions as a source of radicals and precursor of oxidants (mainly ozone). HCHO generates from primary sources (motor vehicles) and secondary sources (photochemical reactions). However, carbonyl compounds monitoring and research on their roles in chemical reaction (ozone production) in Indonesia is still limited. This research investigated the contribution and relationship of hydrocarbons (formaldehyde) and ozone in urban areas. Formaldehyde measurements were carried out for two weeks using absorption method and samples were analyzed by spectrophotometric. Two empirical methods were used to predict ozone production, namely MIR (maximum incremental reactivity) method and propane equivalent method. MIR is a method to calculate organic compounds reactivity in ozone formation. Meanwhile, propane-equivalent method aims to determine ozone estimate using the rate of hydrocarbons oxidation (formaldehyde and propane). Based on ozone diurnal variation, the MIR method provided overestimation, while the propane equivalent method show underestimate predictions. The mean value ​​of ozone concentrations as the reference data in µg/m3) was 34.39 , while estimates resulted in 83.93 (MIR method) and 9.92 (propane equivalent method), respectively. RMSE (Root Mean Squared Error) calculated the error range of the two methods found the values of 81.23 µg/m3 (MIR) and 31.90 µg/ m3 (propane equivalent). It is found that these methods did not predict ozone well. However, both method were easy to applied and could estimated ozone concentration although the information of hydrocarbons data were limited. it is suggested that alternative method were applied by adding meteorological data and other hydrocarbons concentrations to produce better prediction ozone model
Co-Authors Driejana Driejana Driejana, Driejana