A Study on Emission Estimation and Method establishment of VOCs - the examples of air quality in central Taiwan

碩士 === 崑山科技大學 === 環境工程研究所 === 95 === This research is based on Taiwan Emission Databases, TEDs, and uses USA FIRE Date System and SPECITE Date System. This study investigates the emission assessment and photochemical reactivity of VOC released from stationary and area sources and discusses the ratio...

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Bibliographic Details
Main Authors: HoYi-ting, 何伊婷
Other Authors: Yi-chyun Hsu
Format: Others
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/18908757183142695826
Description
Summary:碩士 === 崑山科技大學 === 環境工程研究所 === 95 === This research is based on Taiwan Emission Databases, TEDs, and uses USA FIRE Date System and SPECITE Date System. This study investigates the emission assessment and photochemical reactivity of VOC released from stationary and area sources and discusses the rationality of data system using. According to data of TEDs, it also focuses on the example of air quality in central Taiwan by connecting to Source Classify Code and reducing from weight percentage of organic pollutant emission to set up the emission of stationary and area sources. Additionally, we built up local emission factors, practically examining VOCs from main organic pollutant, and then compared with oversea data system to understand the difference. Furthermore, in order to understand ozone incremental reactivity of stationary and area sources of the example of air quality in central Taiwan. According to the maximum incremental reactivity (MIR), the ozone formation potential of VOCs will be estimated. The importance of VOC from the special photochemical characteristics of stationary and area sources will be also discussed. Results of this research display that estimated amount of emission of SPECIATE Data System is higher than FIRE Data System because there are serious omission in the basic data of TEDs 6.0 Data System and Source Classify Code of FIRE Data System is not so completed that major species can’t be built up completely and total emission amount are underestimated. According to the assessed emissions for TEDs 6.0 database, the VOC emissions from the stationary sources and area sources are 40 and 68 thousands ton/yr. Emission amount is highest in Taichung County between central 4 counties, reaching 40% and 37 %. In addition, main stationary pollutants are Mineral spirits, Isomers of xylene and Toluene and main area pollutants are Toluene, Ethyl alcohol, Isomers of pentane and Styrene. Besides, ozone formation of VOCs was initially calculated on the respective MIR values for each VOC. Then the annual O3 formation for the major processes were 23 (stationary sources) and 58 (area sources) ton/yr determined in this research. Overall, the average O3 yield of the stationary sources and area sources exhibited 0.4g-O3/g-VOC and 0.95g-O3/g-VOC. The characteristic manufacturing processes for the higher O3 formation of stationary sources are metal manufacturing, plastic goods manufacturing and manufacturing of goods made from paper and its major VOCs species are Toluene, Mehtyl ethyl ketone and Styrene. In addition, the characteristic manufacturing processes for the higher O3 formation of area sources are surface coating for industrial products and its major species are Toluene and O-Xylen. Furthermore, comparing with local and oversea emission factors, the differences between FIRE Data System and data system from locally survey comes from diversity of production materials, difference of control efficiency affecting the resultant emission factors and diverseness of throughput and product amounts.