Kinetics Model of Relationship of Ozone And Precusor (NOx And HCHO) Di Urban Area (Case Study : Jakarta)

HCHO is toxic and plays an important role in atmospheric chemical reaction as radical source and oxidant precursor (Ozone). HCHO is contributed from primary source (motor vehicle) and secondary source (photochemical reaction). However, monitoring and research about carbonyl compound concentration...

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Bibliographic Details
Main Author: Rahmatikal Wasi'ah, Nadiyatur
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/44448
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:HCHO is toxic and plays an important role in atmospheric chemical reaction as radical source and oxidant precursor (Ozone). HCHO is contributed from primary source (motor vehicle) and secondary source (photochemical reaction). However, monitoring and research about carbonyl compound concentration and its role in chemical reaction in urban area of Indonesia is limited. This study is conducted to investigate the relationships between ozone, HCHO, and meteorological factors using statistical analysis (Generalized Linear Mode/GLM) and kinetic modeling . Ozone was predicted using 3 methods, namely GLM, MIR (Maximum Incremental Reactivity) and propanaequivalent. GLM is a statistical method to describe nonlinear relationship between response variable (Ozone/HCHO) and predictor variable (primary pollutant concentration/meteorological factors). There are 3 variations used in GLM, consist of Ozone/HCHO-meteorological factors (1st variation), Ozone/HCHO-precursors (2nd variations) and Ozone/HCHO-meteorological factors and precursors (3rd variations). Model input data were HCHO, Ozone, NOx, CO, SO, PM10, Total hydrocarbon (THC), Non-methane hydrocarbon (NMHC)), wind speed and direction, temperature, sun radiation and humidity. The best predictors of ozone in GLM with p value<0,0001 were ln(NO), ln(NO2), sqrt(HCHO), log(solar radiation), sqrt(humidity) dan reflect.sqrt(temperature). Then, GLM HCHO input data are ln(NO), ln(CO), ln(O3), log(sun radiation), dan reflect.sqrt(temperature). Best ozone GLM was found with the highest multiple R2 Value of 57.45% and significant predictors of ln (NO2), sqrt(humidity) dan reflect.sqrt(temperature). Best GLM found for HCHO with multiple R2 of 32,62% was based on significant predictor of log(solar radiation). RMSE values showed that GLM was found to be the best method. Ozone production on a micro time scale was also explained by kinetic model using Kintekus®. Kinetic model shows that by assuming HCHO is the only hydrocarbon in CSTR non steady state condition, ozone was depended on HCHO reaction. There are 3 most important time scales on the production of ozone, that showing significant concentration change, which were at 48s, 63s and 65s after the first reaction.