43 research outputs found

    Temperature influence on total volatile compounds (TVOCs) inside the car cabin of visible light transmittance

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    In the automotive industry indoor air quality or Vehicle Indoor Air Quality (VIAQ) are caused by various substances emitted from interior materials inside a vehicle. The volatile organic compounds (VOCs) are an example of emitted substances from the interior materials which is harmful to the human body. As stated by previous researches, there is a strong correlation between the total VOCs emission and interior temperature. This occurs due to the solar radiation through the back window glasses, windscreen and side window glasses. This trapped heat can accelerate the melting process of trim materials such as hard plastic and rubber, thus causing the emission of total VOCs (TVOCs). Therefore, reducing the percentage of visible light transmittance (VLT) will help to reduce radiation process. The aim of this study is to investigate the effect of VLT level on TVOCs emission in the vehicle cabin under static condition (parked and unventilated) and operating condition (driving and air-conditioned). For static condition the result shows that the TVOCs concentration linearly decreases whenever the percentage of VLT level decreases. However, for operating condition the percentage of VLT have less significance after 50 minutes driving time. In conclusion, the VLT levels have a strong relationship to the TVOCs concentration despite after a long driving time

    The effect of the composting time on the gaseous emissions and the compost stability in a full-scale sewage sludge composting plant

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    Volatile organic compounds (VOCs) and ammonia are some of the compounds present in gaseous emissions from waste treatment facilities that contribute to odour pollution. In the present work, the effect of the residence time on the biological stability of raw sludge (RS) composted in dynamic windrows and the gaseous emissions generated were studied at a full-scale composting plant, aiming to provide specific pollutant emission factors and to determine their variability depending on the composting time. Waste stability and emissions analysis considered both a first phase where mixed RS and vegetal fraction (RS - VF) is actively composted in dynamic windrows and a second standard curing phase in turned piles, which lasted 31 days. Two windrows were operated at 4 days of composting time while two other windrows were operated simultaneously at 14 days composting time. Increasing the residence time leads to a better waste stabilization in the first composting phase, providing a 50% reduction ofthe Dynamic Respiration Index. A decrease of the ammonia emission factor was achieved when increasing the composting time (from 168.5 g NH 3 ยทMg โˆ’1 RS - VF d โˆ’1 to 114.3 g NH 3 ยทMg โˆ’1 RS - VF d โˆ’1 ), whereas the VOCs emission factor was maintained for the same process conditions (between 26.0 and 28.0 g C-VOCยทMg โˆ’1 RS - VF d โˆ’1 ). However, an increase of the emission masses of both pollutants was observed (from 0.16 to 0.39 kg tVOCsยทMg โˆ’1 RS โˆ’ VF and from 1.21 to 1.60 kg NH 3 ยทMg โˆ’1 RS - VF). Finally, ammonia and VOCs emissions generated at the curing piles were nearly avoided when increasing the composting time of the first phase

    Interior Materials Combination and Perceived Indoor Air Quality

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    The materials used in the buildings, either as surface structural materials or as furnishings, are mostly the sources of indoor air pollution. Interior surfaces are generally accepted as the main source of indoor TVOCs emissions. The poor indoor microclimate quality can cause the sick building syndrome, as well as negatively affects the people activities and wellbeing. In recent years the needs of indoor air quality and building performance improvement have been increasing. The indoor materials impact on perceived indoor air quality for various surface interior materials and its combination was studied within this paper. Traditional and progressive materials comparison reveals new fact regarding the TVOCs concentration. The task of the study was to investigate the possibility using individual material surfaces sorption ability. The chemical analysis and sensory assessments identifies health adverse of indoor air pollutants (TVOCs). Also we can use knowledge about the targeted use of sorption effect already in the building design phase. The results demonstrate the various sorption abilities of various indoor materials as well as various sorption ability of the same indoor material in various combinations

    Characterization of odorous compounds and odor load in indoor air of modern complex MBT facilities

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    Gaseous emissions and chemical compounds responsible for odor nuisance are the most common social concerns arising from modern municipal mechanical-biological waste treatment (MBT) facilities. Regarding to this, an inventory of indoor concentrations of hydrogen sulfide and volatile organic compounds (VOCs) along with odor analyses were carried out at three different full-scale MBT facilities. 48-h profiles of total volatile organic compounds (tVOCs) and hydrogen sulfide were performed in selected areas (reception warehouse, pretreatment, anaerobic digestion and composting areas) and a complete gases and odor characterization were performed at two selected moments of the day according to maximum and minimum tVOCs concentrations, which corresponded to day/night variations. Terpenoids, aromatic hydrocarbons and aliphatic hydrocarbons were the families of VOCs more often detected. The average percentage of contribution of these three VOCs families was 32, 21 and 24%, respectively, while the average percentage of contribution of other VOCs families ranged from 0.2 to 5.5%. A multiple regression method was developed as a simple tool for odor modeling and prediction, showing that 98.5% (p < 0.001) of the variance in odor concentration could be explained by the concentrations of hydrogen sulfide and tVOCs. Results obtained suggested that optimization of indoor ventilation systems and, concomitantly, operational costs of MBT facilities was possible in certain locations where ventilation could be reduced up to 20-25% during night hours

    TVOCs and PM 2.5 in Naturally Ventilated Homes: Three Case Studies in a Mild Climate

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    In southern Europe, the present stock of social housing is ventilated naturally, with practice varying in the di erent seasons of the year. In winter, windows are kept closed most of the day with the exception of short periods for ventilation, whereas the rest of the year the windows are almost permanently open. In cold weather, air changes depend primarily on the air infiltrating across the envelope and when the temperature is warm, on the air flowing in through open windows. CO2, PM2.5, and TVOC concentration patterns were gathered over a yearโ€™s time in three social housing developments in southern Europe with di erent airtightness conditions and analyzed to determine possible relationships between environmental parameters and occupantsโ€™ use profiles. Correlations were found between TVOC and CO2 concentrations, for human activity was identified as the primary source of indoor contaminants: peak TVOC concentrations were related to specific household activities such as cooking or leisure. Indoor and outdoor PM2.5 concentrations were likewise observed to be correlated, although not linearly due to the presence of indoor sources. Ventilation as presently practiced in winter appears to be insufficient to dilute indoor contaminants in all three buildings, nor does summertime behavior guarantee air quality

    ์ผ๋ถ€ ๋„์˜ˆ ์ž‘์—…์žฅ์˜ ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ์„ ํฌํ•จํ•œ ์ž…์ž์ƒ ๋ฌผ์งˆ ๋ฐ ์ผ์‚ฐํ™”ํƒ„์†Œ, ์ด ํœ˜๋ฐœ์„ฑ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ํ™˜๊ฒฝ๋ณด๊ฑดํ•™๊ณผ, 2022. 8. ์œค์ถฉ์‹.์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ: ์ „ํ†ต์ ์ธ ๋„์ž๊ธฐ๋ฅผ ์ œ์กฐํ•˜๋Š” ์ž‘์—…์žฅ์€ ์›์žฌ๋ฃŒ ์ ํ† ์™€ ์œ ์•ฝ์œผ๋กœ ๋„์ž๊ธฐ๋ฅผ ๋นš๊ณ , ๊ทธ๊ฒƒ๋“ค์„ ๊ฐ€๋งˆ์— ์†Œ์„ฑํ•˜๋Š” ๊ณผ์ •์—์„œ ๊ฑด๊ฐ•์ƒ์— ์•…์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ž…์ž์ƒ ๋ฌผ์งˆ๊ณผ ๊ฐ€์Šค์ƒ ๋ฌผ์งˆ์ด ๋ฐœ์ƒ๋œ๋‹ค. ํ•˜์ง€๋งŒ, ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์ž‘์—…๊ณต์ •๊ณผ ๊ฐ€๋งˆ ์ข…๋ฅ˜๋ณ„๋กœ ์ˆ˜ํ–‰๋œ ๋…ธ์ถœํ‰๊ฐ€ ์—ฐ๊ตฌ๋Š” ์•„์ง๊นŒ์ง€๋„ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ€๋งˆ ์ข…๋ฅ˜๋ณ„๋กœ ๋ฐœ์ƒํ•˜๋Š” ์ผ์‚ฐํ™”ํƒ„์†Œ์™€ ์ด ํœ˜๋ฐœ์„ฑ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ(TVOCs)๋ฅผ ๋ชจ๋‹ˆํ„ฐ๋ง ํ•˜๊ณ , ๊ฐ€๋งˆ ์ข…๋ฅ˜์™€ ์ž‘์—… ๊ณต์ •๋ณ„๋กœ ๋„์˜ˆ ์ž‘์—…์žฅ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ์„ ํฌํ•จํ•˜๋Š” ์ž…๊ฒฝ ๋ถ„ํฌ๋ณ„ ์ž…์ž์ƒ ๋ฌผ์งˆ์˜ ๋…ธ์ถœ ์ˆ˜์ค€์„ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ๋ชฉ์ ์ด ์žˆ๋‹ค. ๋˜ํ•œ, ์ž…์ž์ƒ ๋ฌผ์งˆ๋“ค์˜ ๋…ธ์ถœ ์ˆ˜์ค€์„ ๋ณ€ํ™”์‹œํ‚ค๋Š” ์š”์ธ๋“ค๋„ ํ‰๊ฐ€ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•: ๋Œ€ํ•œ๋ฏผ๊ตญ์— ์†Œ์žฌํ•œ ์†Œ๊ทœ๋ชจ ๋„์˜ˆ ๊ณต๋ฐฉ, ๋ฏธ์ˆ ๋Œ€ํ•™๊ต ๊ณต์˜ˆ๊ณผ ์‹ค๊ธฐ์‹ค, ์žฅ์ž‘ ์˜ค๋ฆ„๊ฐ€๋งˆ์™€ ๊ทธ๊ณณ์—์„œ ์ž‘์—…ํ•˜๋Š” ๋„์˜ˆ๊ฐ€๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ฐœ์ธ์‹œ๋ฃŒ๋Š” ์ด๋ถ„์ง„๊ณผ ํ˜ธํก์„ฑ ๋ถ„์ง„, ๊ทธ๋ฆฌ๊ณ  ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ์„ ์ธก์ •ํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ง€์—ญ ์‹œ๋ฃŒ๋กœ๋Š” ๊ฐ๊ฐ์˜ ์ž‘์—… ์žฅ์†Œ์™€ ๊ฐ€๋งˆ ๊ทผ์ฒ˜์—์„œ, ์ด๋ถ„์ง„๊ณผ ํ˜ธํก์„ฑ ๋ถ„์ง„, ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ, 10nm~10,000nm์˜ ์ž…๊ฒฝ๋ถ„ํฌ๋ฅผ ์ง€๋‹Œ ์ž…์ž์ƒ ๋ฌผ์งˆ, ์ผ์‚ฐํ™”ํƒ„์†Œ, TVOCs์„ ์ธก์ •ํ•˜์˜€๋‹ค. ์ด๋ถ„์ง„, ํ˜ธํก์„ฑ ๋ถ„์ง„์€ ์ „์ž ์ €์šธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์—ฌ๊ณผ์ง€๋ฅผ ์ค‘๋Ÿ‰ ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ˜ธํก์„ฑ ๋ถ„์ง„์„ ํฌ์ง‘ํ•œ ํ•„ํ„ฐ๋Š” ํ‘ธ๋ฆฌ์— ๋ณ€ํ™˜ ์ ์™ธ์„  ๋ถ„๊ด‘๋ฒ•(FT-IR)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ ๋ถ„์„์— ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. 10-10,000 nm ์ž…์ž ํฌ๊ธฐ ๋ถ„ํฌ๋ฅผ ๊ฐ–๋Š” ์ž…์ž๋Š” ๊ด‘ํ•™ ์ž…์ž ๊ณ„์ˆ˜๊ธฐ(OPS)์™€ ๋ณ‘๋ ฌ๋กœ ์„ค์น˜๋œ ๋‚˜๋…ธ ์—์–ด๋กœ์กธ ์ž…๊ฒฝ๋ถ„ํฌ ์ธก์ •๊ธฐ(SMPS)์— ์˜ํ•ด ๋ถ„์„๋˜์—ˆ๋‹ค. ์ผ์‚ฐํ™”ํƒ„์†Œ ๋ฐ TVOCs๋Š” ๊ด‘์ด์˜จํ™” ๊ฐ์ง€๊ธฐ์™€ ์‹ค๋‚ด ๊ณต๊ธฐ์งˆ ์ธก์ •๊ธฐ(IAQ-Calc)๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ: ์„ธ ๊ณณ์˜ ๋„์˜ˆ ์ž‘์—…์‹ค์—์„œ ์ธก์ •ํ•œ ์ด๋ถ„์ง„, ํ˜ธํก์„ฑ๋ถ„์ง„, ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ์˜ ๊ธฐํ•˜ํ‰๊ท ์€ 146.46 ฮผg/m3, 49.10 ฮผg/m3, 1.89 ฮผg/m3 ์ด์—ˆ๋‹ค. ๊ทธ ์ค‘ 4๊ฐœ์˜ ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ ๊ฐœ์ธ์‹œ๋ฃŒ์˜ ๋†๋„๋Š” ACGIH TLV์„ ์ดˆ๊ณผํ–ˆ์œผ๋ฉฐ, 4๊ฐœ ์‹œ๋ฃŒ ๋ชจ๋‘ ์„ฑํ˜•&์ •ํ˜• ์ž‘์—…์ด์—ˆ๋‹ค. ์†Œ๊ทœ๋ชจ ๋„์ž๊ธฐ ๊ณต๋ฐฉ์˜ ์ „๊ธฐ๊ฐ€๋งˆ์—์„œ 10 nmโ€“420 nm์˜ ์ง๊ฒฝ์„ ๊ฐ–๋Š” ์ž…์ž ์ˆ˜ ๋†๋„๋Š” ์ดˆ๋ฒŒ ์†Œ์„ฑ ์ค‘๊ธฐ ๋™์•ˆ ์ˆ˜๋ถ„ ๋ฐฐ์ถœ๊ตฌ๊ฐ€ ์—ด๋ ค ์žˆ์„ ๋•Œ(1.61 ร— 10^5)๊ฐ€ ๋‹ซํ˜€์žˆ์„ ๋•Œ(2.16 ร— 10^4)๋ณด๋‹ค ์•ฝ 7.5๋ฐฐ ๋” ๋†’์•˜๋‹ค. ๋ฏธ์ˆ ๋Œ€ ๋„์˜ˆ๊ณผ์—์„œ๋Š”, ์œ ์•ฝ ๋ถ„๋ง์„ ๋ฌผ๊ณผ ์„ž๊ณ  ๋“œ๋ฆด๋กœ ํ˜ผํ•ฉํ•˜๋Š” ์žฅ์†Œ์ธ ์œ ์•ฝ ๋ฒค์น˜(5.61 ร— 10^4)์—์„œ์˜ ์ž…์ž ์ˆ˜๋†๋„(10 nm-420 nm)๊ฐ€ ์œ ์•ฝ ์Šคํ”„๋ ˆ์ด ๋ถ€์Šค (6.73 ร— 10^3)์˜ ์ž…์ž ์ˆ˜๋†๋„ ๋ณด๋‹ค ์•ฝ 8.3๋ฐฐ ๋†’์•˜๋‹ค. ์ผ์‚ฐํ™”ํƒ„์†Œ ๋†๋„๋Š” ์ „๊ธฐ์‚ฐํ™”(์ดˆ๋ฒŒ ์†Œ์„ฑ)์—์„œ ํ‰๊ท ๊ณผ ์ตœ๊ณ ๋†๋„ ๋ชจ๋‘ ๊ฐ๊ฐ 3.55 ppm, 23.7 ppm์œผ๋กœ ๊ฐ€์žฅ ๋†’์•˜๋‹ค. ๋ฐ˜๋ฉด์—, TVOCs ๋†๋„๋Š” ์žฅ์ž‘ ๊ฐ€๋งˆ(2์ธต ~ ์ตœ๊ณ ์ธต)์—์„œ ํ‰๊ท ๊ณผ ์ตœ๊ณ ๋†๋„ ๋ชจ๋‘ ๊ฐ๊ฐ 5,732.31 ppb, 12,034 ppb๋กœ ๊ฐ€์žฅ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๋ก : ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋„์ž๊ธฐ ์ œ์กฐ ๊ณต์ •๊ณผ ๊ฐ€๋งˆ ์ข…๋ฅ˜๋ณ„๋กœ ์ผ๋ถ€ ์ž…์ž์ƒ ๋ฌผ์งˆ์˜ ๋†๋„์—์„œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ๊ณผ, ํ˜ธํก์„ฑ ์œ ๋ฆฌ๊ทœ์‚ฐ์„ ํฌํ•จํ•œ ์ž…์ž์ƒ ๋ฌผ์งˆ, ์ผ์‚ฐํ™”ํƒ„์†Œ ๋ฐ TVOC๊ฐ€ ๋„์˜ˆ๊ฐ€์—๊ฒŒ ๋…ธ์ถœ๋  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์‹ค์ œ๋กœ ์ „๊ธฐ์‚ฐํ™”๊ฐ€๋งˆ์˜ ์ˆ˜๋ถ„๋ฐฐ์ถœ๊ตฌ ๊ฐœ๋ฐฉ ์—ฌ๋ถ€, ์œ ์•ฝ ์Šคํ”„๋ ˆ์ด ์‹œ ๊ตญ์†Œ๋ฐฐ๊ธฐ์˜ ์ž‘๋™, ๊ฐ€๋งˆ์— ์žฅ์ž‘์„ ๋„ฃ๋Š” ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋“ฑ์ด ๊ฐ์ข… ์œ ํ•ด๋ฌผ์งˆ ๋†๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด์ฒ˜๋Ÿผ, ๋„์˜ˆ ์ž‘์—… ์‹œ ์ž…์ž์ƒ ๋ฌผ์งˆ ๋ฐ ์œ ํ•ด ๊ฐ€์Šค ๋“ฑ์— ๋…ธ์ถœ๋  ์œ„ํ—˜์„ฑ์ด ๋†’์€ ๋ฐ”, ์ ์ ˆํ•œ ํ˜ธํก ๋ณดํ˜ธ๊ตฌ์˜ ์ฐฉ์šฉ๊ณผ ๊ตญ์†Œ๋ฐฐ๊ธฐ์žฅ์น˜์˜ ์„ค์น˜๊ฐ€ ๊ถŒ์žฅ๋œ๋‹ค.Objective: Ceramics with raw clay and glaze are made in traditional pottery workplaces. When firing them in a kiln, particulate matter and gaseous substances that cause adverse health effects are generated. However, exposure assessment studies of the various pottery manufacturing processes or kiln types are insufficient. Therefore, this study aimed to compare the particulate matter concentrations by particle size distribution and respirable crystalline silica (RCS) generated in pottery workplaces by each kiln type and work process, and assess factors that change the concentration levels of particulate matter, monitor carbon monoxide (CO) and total volatile compounds (TVOCs) generated by each kiln type. Methods: The research was conducted in small-sized pottery workshops in Korea, a college of fine art pottery studio, and an outdoor climbing kiln and included the potters working there. Personal samples for the exposure assessment were collected by measuring total suspended particulates (TSP), respirable suspended particulates (RSP), and RCS. As an area sample, TSP, RSP, RCS, particulates with 10โ€“10,000 nm particle size distribution, CO, and TVOCs were measured for each workplace and pottery manufacturing process. TSP, RSP were analyzed by the gravimetric analysis using an electronic balance for weighing membrane filters. And filters which collected RSP were used for evaluate RCS by fourier transform infrared spectroscopy (FT-IR). Particulates with 10โ€“10,000 nm particle size distribution were analyzed by a scanning mobility particle sizer (SMPS) installed in parallel with the optical particle sizer (OPS). CO and TVOCs were analyzed by a photoionization detector and an indoor air quality meter (IAQ-Calc). Results: The TSPโ€™s, RSPโ€™s, and RCSโ€™s geometric mean, except for background concentration, was 146.46 ฮผg/m3, 49.10 ฮผg/m3, and 1.89 ฮผg/m3, respectively. Among those, four personal RCS samplesโ€™ concentration exceeded American conference of governmental industrial hygienists threshold limit values (ACGIH TLV), all of which were shaping and trimming procedures. Particle number concentrations (PNCs) with a diameter of 10 nmโ€“420 nm were approximately 7.5 times higher when the peepholes were left open (1.61 ร— 10^5) than when they were closed (2.16 ร— 10^4) during mid-term firing of the electric oxidation kiln of small-sized pottery studio. In addition, the PNC (10 nmโ€“420 nm) in the glaze dipping bench (5.61 ร— 10^4), where the glaze powder was blended with water and mixed with a drill before the unglazed bisqueware was dipped, was 8.3 times higher than that in the glaze spray booth (6.73 ร— 10^3) in glaze room of collge of fine arts studio. The CO concentration was the highest in the electric oxidation kiln (when oxidation firing), with average and maximum concentrations of 3.55 ppm and 23.7 ppm, respectively. Conversely, the TVOCs concentration was the highest in the climbing kiln (2ndโ€“top floor), with average and maximum concentrations of 5,732.31 ppb and 12,034 ppb, respectively. Conclusion: We confirmed that some particulate matter concentrations differed with the pottery manufacturing process and kiln type. The results showed that particulates including RCS, CO, and TVOCs could be exposed to potters. Indeed, whether the plugs are opened in the electric oxidation kiln, operation of exhaust vent during glaze spraying, and an time interval of adding firewood to the climbing kiln affect the concentration of various hazardous substances. Since there is a high risk of exposure to particulate matter and harmful gases during pottery manufacturing, wearing appropriate personal protective equipment for potters when shaping and trimming the clay and installing the local exhaust system near kilns or glaze spraying booths is recommended.1. Introduction 1 2. Methods 3 2.1. Workplace description 3 2.2. Sampling and evaluating methods 6 2.2.1. Sampling design 6 2.2.2. Evaluating for TSP, RSP and RCS 7 2.2.3. Real-time measurement of particle number concentration 8 2.2.4. Real-time measurement of CO, TVOCs 8 2.3. Statistical methods 9 3. Results 10 3.1. TSP, RSP, and RCS concentrations between study subjects 10 3.2. Number concentration and size distribution of particulates 16 3.3. Concentrations of CO and TVOCs 19 4. Discussion 20 5. Conclusion 25 References 26 Appendix 29 ๊ตญ๋ฌธ์ดˆ๋ก 33์„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ, 2021. 2. ์œค์ถฉ์‹.๊ฑด์„ค์—…์€ ๋…ธ๋™์˜์กด๋„๊ฐ€ ๋งค์šฐ ๋†’์€ ์‚ฐ์—…์œผ๋กœ, ๊ฑด์„ค์—… ๊ทผ๋กœ์ž๋Š” ์ž‘์—…๊ณผ์ • ์ค‘ ๋‹ค์–‘ํ•œ ์œ ํ•ด์ธ์ž์— ๋ณตํ•ฉ์ ์œผ๋กœ ๋…ธ์ถœ๋˜๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ž‘์—…์žฅ ์ด๋™์ด ๋งŽ๊ณ , ๋‹จ์œ„์ž‘์—… ์žฅ์†Œ์—์„œ์˜ ์ž‘์—…์‹œ๊ฐ„์ด ์งง์œผ๋ฉฐ, ์ž‘์—…ํ™˜๊ฒฝ์ด ์ง€์†์ ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ํŠน์„ฑ์œผ๋กœ ์ธํ•ด ๋…ธ์ถœ๋˜๋Š” ์œ ํ•ด์ธ์ž์˜ ๋†๋„์ˆ˜์ค€ ๋ฐ ํŠน์„ฑ์— ๋Œ€ํ•ด์„œ๋Š” ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์ง€ ๋ชปํ•˜๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋Š” ๊ฑด์„ค์—… ๊ทผ๋กœ์ž์˜ ์ง์ข…๋ณ„ ๋…ธ์ถœ ์œ ํ•ด์ธ์ž๋ฅผ ์กฐ์‚ฌํ•˜๊ณ , ์ง์—…์„ฑ ์•” ๋“ฑ ๊ฑด๊ฐ•์žฅํ•ด ๋ฐœ์ƒ ์œ„ํ—˜์ด ๋†’์€ ์ง์ข…(์ง€ํ•˜ ๊ตด์ฐฉ๊ณต, ์ฝ˜ํฌ๋ฆฌํŠธ ๋งˆ๊ฐ๊ณต, ๋ฐฉ์ˆ˜๋„์žฅ๊ณต, ์šฉ์ ‘๊ณต, ์•„์ŠคํŒ”ํŠธ ๋„๋กœํฌ์žฅ๊ณต)์„ ์šฐ์„ ๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์—ฌ ๋ฐœ์•”์„ฑ ๋ฌผ์งˆ์„ ์ค‘์‹ฌ์œผ๋กœ ์œ ํ•ด์ธ์ž ๋…ธ์ถœ๋†๋„ ์ˆ˜์ค€ ๋ฐ ๋†๋„์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ํ™˜๊ฒฝ๋ณ€์ˆ˜ ๋“ฑ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋จผ์ €, ํƒ‘๋‹ค์šด ๊ณต๋ฒ•์„ ์ ์šฉํ•œ ์ฃผ์ƒ๋ณตํ•ฉ ๊ฑด์ถ•๋ฌผ ์‹ ์ถ•ํ˜„์žฅ 4๊ฐœ์†Œ์˜ ์ง€ํ•˜ ๊ตด์ฐฉ์ž‘์—… ์ค‘ ๋ฐœ์ƒํ•˜๋Š” ์›์†Œํƒ„์†Œ (elemental carbon, EC), ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ (polycyclic aromatic hydrocarbons, PAHs), ํ˜ธํก์„ฑ ์‚ฐํ™”๊ทœ์†Œ ๊ฒฐ์ •์ฒด (respirable crystalline silica, RCS)์˜ ๋…ธ์ถœ๋†๋„ ์ˆ˜์ค€์„ ์‚ดํŽด๋ณด์•˜๋‹ค. EC ๋†๋„๋Š” ๊ถŒ๊ณ ๊ธฐ์ค€์ธ 20 ใŽ/ใŽฅ์„ ์ดˆ๊ณผํ•˜๋Š” ์‹œ๋ฃŒ๊ฐ€ ์ „์ฒด์˜ ์•ฝ 50 %๋ฅผ ์ฐจ์ง€ํ•˜์˜€๋‹ค. RCS์˜ ๊ธฐํ•˜ํ‰๊ท (geometric mean, GM)๋†๋„๋Š” ๋…ธ์ถœ๊ธฐ์ค€์ธ 0.05 ใŽŽ/ใŽฅ์˜ 1.5๋ฐฐ๋ฅผ ์ดˆ๊ณผํ•˜์˜€๋‹ค. ์ฃผ์š” ํ™˜๊ฒฝ๋ณ€์ˆ˜๋กœ ์•”์„์ง€๋ฐ˜, ๋†’์€ ์žฅ๋น„ ๋ฐ€์ง‘๋„, ๋ฐœํŒŒ์ž‘์—…, ํ™˜๊ธฐ์กฐ๊ฑด์ด ๋‚˜์ ์ˆ˜๋ก EC ๋ฐ RCS ๋†๋„์ˆ˜์ค€์ด ๋†’์€ ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํŠนํžˆ, ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์ด ๊ฐ€์žฅ ์šฐ์„  ์ ์šฉ๋˜์–ด์•ผํ•  ๋Œ€์ƒ์€ ์ƒ๋ถ€๊ฐ€ ๋ฐ€ํ๋œ ๊ฒฝ์•” ์ง€๋ฐ˜์˜ ํ˜„์žฅ์ด์—ˆ๋‹ค. ์ง€ํ•˜ ๊ตด์ฐฉ์ž‘์—…์žฅ์—์„œ ๋””์ ค์—”์ง„๋ฐฐ์ถœ๋ฌผ ๋ฐ ์‚ฐํ™”๊ทœ์†Œ ๋…ธ์ถœ์„ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ๋ ฅ์œผ๋กœ ์ž‘์—…์žฅ ์ƒ๋ถ€๋ฅผ ์ตœ๋Œ€ํ•œ ๊ฐœ๋ฐฉํ•˜์—ฌ ์ถฉ๋ถ„ํ•œ ํ™˜๊ธฐ๋ฅผ ์‹ค์‹œํ•˜๊ณ , ์‚ด์ˆ˜๋ฅผ ํ†ตํ•œ ์Šต์‹์ž‘์—…ํ™˜๊ฒฝ ์กฐ์„ฑ, ๋…ธํ›„ ์ฐจ๋Ÿ‰์˜ ๊ต์ฒด, ์ฐจ๋Ÿ‰์˜ ์ •๊ธฐ ์ ๊ฒ€ ๋ฐ ์œ ์ง€ ๋ณด์ˆ˜, ๋ฐ ์ €์œ ํ™ฉ์œ  ์‚ฌ์šฉ ๋“ฑ์˜ ๊ฐœ์„ ์กฐ์น˜๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์•„ํŒŒํŠธ ๊ฑด์„คํ˜„์žฅ 8๊ฐœ์†Œ์˜ ์ฝ˜ํฌ๋ฆฌํŠธ ๋งˆ๊ฐ์ž‘์—…(ํ• ์„, ๊ทธ๋ผ์ธ๋”ฉ, ๋ฏธ์žฅ์ž‘์—…)์— ๋Œ€ํ•œ RCS ๋…ธ์ถœ ๋†๋„๋ฅผ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. RCS์˜ GM ๋†๋„๋Š” ์ฝ˜ํฌ๋ฆฌํŠธ ๊ทธ๋ผ์ธ๋”ฉ ์ž‘์—…์—์„œ 2.06 ใŽŽ/ใŽฅ, ํ• ์„์ž‘์—…์—์„œ 0.12 ใŽŽ/ใŽฅ๋กœ ๋…ธ์ถœ๊ธฐ์ค€์ธ 0.05 ใŽŽ/ใŽฅ์˜ ๊ฐ 40๋ฐฐ ๋ฐ 2๋ฐฐ๋ฅผ ์ดˆ๊ณผํ•˜์˜€๋‹ค. ์ฝ˜ํฌ๋ฆฌํŠธ ๊ทธ๋ผ์ธ๋”ฉ ์ž‘์—… ์ค‘ RCS ๋†๋„๋Š” ๊ณ„๋‹จ์‹ค (4.18 ใŽŽ/ใŽฅ), ์„ธ๋Œ€๋‚ด๋ถ€ (2.76 ใŽŽ/ใŽฅ), ์ง€ํ•˜์ž‘์—…์žฅ (1.30 ใŽŽ/ใŽฅ) ๋“ฑ ์ž‘์—… ๊ณต๊ฐ„ ์ฒด์ ์ด ์ž‘์„์ˆ˜๋ก ๋†๋„์ˆ˜์ค€์ด ๋†’์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์ด ๊ฐ€์žฅ ์šฐ์„  ์ ์šฉ๋˜์–ด์•ผํ•  ๋Œ€์ƒ์€ ์ž‘์—…๊ณต๊ฐ„์ด ์ž‘์€ ์žฅ์†Œ์—์„œ์˜ ์ฝ˜ํฌ๋ฆฌํŠธ ์—ฐ๋งˆ์ž‘์—…์ด์—ˆ๋‹ค. ๊ฑด์„คํ˜„์žฅ ์ฝ˜ํฌ๋ฆฌํŠธ ๋งˆ๊ฐ ์ž‘์—… ์ค‘์—์„œ RCS ๋…ธ์ถœ์„ ์ €๊ฐํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ™˜๊ธฐ์บก์„ ์ ์šฉํ•œ ๊ตญ์†Œ๋ฐฐ๊ธฐ์žฅ์น˜์˜ ์‚ฌ์šฉ, ์Šต์‹์ž‘์—… ๋“ฑ์˜ ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์ด ์‹œ๊ธ‰ํ•˜๋ฉฐ, ๊ณตํ•™์  ๊ฐœ์„ ๊ณผ ํ•จ๊ป˜ ํ˜ธํก๋ณดํ˜ธ๊ตฌ์˜ ์ฒ ์ €ํ•œ ์ง€๊ธ‰โ€ค์ฐฉ์šฉ ๋ฐ ๋ฐ€์ฐฉ๋„ ๊ฒ€์‚ฌ, ์ฃผ๊ธฐ์ ์ธ ๊ฑด๊ฐ•๊ฒ€์ง„ ๋ชจ๋‹ˆํ„ฐ๋ง์ด ํ•„์š”ํ•˜๋‹ค. ๊ฑด์„คํ˜„์žฅ ๋„์žฅ์ž‘์—…์ž์— ๋Œ€ํ•œ ํœ˜๋ฐœ์„ฑ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ(volatile organic compounds, VOCs) ๋…ธ์ถœ์ˆ˜์ค€์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด 8๊ฐœ ๊ฑด์„คํ˜„์žฅ์—์„œ ์šฐ๋ ˆํƒ„ ๋ฐฉ์ˆ˜์ž‘์—…์— ๋Œ€ํ•ด ํ‰๊ฐ€ํ•˜์˜€๋‹ค. VOCs์˜ ํ˜ผํ•ฉ๋ฌผ์งˆ ๋…ธ์ถœ์ง€์ˆ˜(exposure index, EI; ๋…ธ์ถœ๊ธฐ์ค€=1)์˜ GM์€ ๊ตญ๋‚ด ๋…ธ์ถœ๊ธฐ์ค€(Korea occupational exposure limits, KOEL)์˜ ์•ฝ 78%์ˆ˜์ค€์ด์—ˆ์œผ๋ฉฐ, KOEL์„ ์ดˆ๊ณผํ•˜๋Š” ์‹œ๋ฃŒ๊ฐ€ ์ „์ฒด์‹œ๋ฃŒ์˜ ์•ฝ 38.6%๋กœ ์ž‘์—…ํ™˜๊ฒฝ๊ด€๋ฆฌ๊ฐ€ ์š”๊ตฌ๋˜๋Š” ์ˆ˜์ค€์ด๋‹ค. ๋”์šฑ์ด, EI๋ฅผ ๋ฏธ๊ตญ ACGIH TLVs์— ๋”ฐ๋ผ ์‚ฐ์ถœํ•˜๋ฉด, EI์˜ GM์ด 1.84๋กœ KOEL์˜ ์•ฝ 2๋ฐฐ ์ˆ˜์ค€์œผ๋กœ ๋งค์šฐ ๋†’์•˜๋‹ค. ํ˜ผํ•ฉ๋ฌผ์งˆ ํ‰๊ฐ€์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋ฌผ์งˆ์€ ํ†จ๋ฃจ์—”์ด์—ˆ๋‹ค. ์ž‘์—…๋ณ„๋กœ๋Š” ์‹ค๋‚ด ์šฐ๋ ˆํƒ„ ํ”„๋ผ์ด๋จธ ๋„ํฌ ์ž‘์—…์—์„œ ๋…ธ์ถœ๋†๋„๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๋‹ค. ๊ฑด์„คํ˜„์žฅ ๋„์žฅ์ž‘์—…์ž์˜ ๊ฑด๊ฐ•๊ด€๋ฆฌ๋ฅผ ์œ„ํ•ด ๋„๋ฃŒ ๊ตฌ์„ฑ์„ฑ๋ถ„ ์ค‘ ๋ฐœ์•”์„ฑ ๋ฌผ์งˆ๊ณผ ์ƒ์‹๋…์„ฑ๋ฌผ์งˆ์€ ์ตœ๋Œ€ํ•œ ์œ ํ•ด์„ฑ์ด ๋‚ฎ์€ ๋ฌผ์งˆ๋กœ ๋Œ€์ฒดํ•˜๊ณ , ๋†๋„์ˆ˜์ค€์— ๋”ฐ๋ผ ์ ์ ˆํ•œ ๋ณดํ˜ธ๊ณ„์ˆ˜๋ฅผ ๊ฐ–๋Š” ๊ฐœ์ธ๋ณดํ˜ธ๊ตฌ์˜ ์ง€๊ธ‰ ๋ฐ ์ฐฉ์šฉ ๋ฐ ์ง€์†์ ์ธ ๋…ธ์ถœํ‰๊ฐ€์™€ ๊ฑด๊ฐ•๊ฒ€์ง„ ์‹ค์‹œ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์‚ฌํ›„๊ด€๋ฆฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ, ์‹ค๋‚ด ์ž‘์—…์˜ ๊ฒฝ์šฐ๋Š” ํ™˜๊ธฐ์žฅ์น˜๋ฅผ ๊ฐ€๋™ํ•˜๊ณ  ์ž‘์—…์„ ์ง„ํ–‰ํ•˜์—ฌ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ ๋…ธ์ถœ์„ ์ตœ์†Œํ™” ํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ๊ฑด์„คํ˜„์žฅ ์ผ๋ฐ˜๊ฑด์ถ•๋ฌผ ๋ฐฐ๊ด€์šฉ์ ‘๊ณต, ํ™”ํ•™ํ”Œ๋žœํŠธ ๋ฐฐ๊ด€์šฉ์ ‘๊ณต, ์ฒ ๊ณจ์šฉ์ ‘๊ณต, ์†Œ๊ฐํ”Œ๋žœํŠธ ๋ณด์ผ๋Ÿฌ ์ œ์ž‘ ์šฉ์ ‘๊ณต, ๊ธˆ์†๋งˆ๊ฐ์šฉ์ ‘๊ณต์„ ๋Œ€์ƒ์œผ๋กœ ์šฉ์ ‘ํ„ ๋ฐ ๊ธˆ์†๋ฅ˜์— ๋Œ€ํ•œ ๋…ธ์ถœ๋†๋„(GM) ์ˆ˜์ค€์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ์šฉ์ ‘ํ„์˜ ๋†๋„๋Š” ์ผ๋ฐ˜๊ฑด์ถ•๋ฌผ ๋ฐฐ๊ด€๊ณต (4.75 ใŽŽ/ใŽฅ)> ์ฒ ๊ณจ์šฉ์ ‘๊ณต (3.77 ใŽŽ/ใŽฅ) > ๋ณด์ผ๋Ÿฌ์ œ์ž‘์šฉ์ ‘๊ณต (1.38 ใŽŽ/ใŽฅ)> ๊ธˆ์†๋งˆ๊ฐ์šฉ์ ‘๊ณต (0.78 ใŽŽ/ใŽฅ) > ํ™”ํ•™ํ”Œ๋žœํŠธ ๋ฐฐ๊ด€์šฉ์ ‘๊ณต(0.71 ใŽŽ/ใŽฅ) ์ˆœ์œผ๋กœ ๋†’์•˜๋‹ค. ์šฉ์ ‘๊ธฐ๋ฒ•์— ๋”ฐ๋ฅธ ์šฉ์ ‘ํ„ ๋†๋„๋Š” CO2์šฉ์ ‘ (2.08 ใŽŽ/ใŽฅ) > ํ”ผ๋ณต์•„ํฌ์šฉ์ ‘ (1.54 ใŽŽ/ใŽฅ) > TIG์šฉ์ ‘ (0.70 ใŽŽ/ใŽฅ) ์ˆœ์œผ๋กœ ๋†’์•˜๊ณ , ๋™์ผํ•œ ์ง์ข…์˜ ์ผ๋ฐ˜๊ฑด์ถ•๋ฌผ ๋ฐฐ๊ด€์šฉ์ ‘์ž‘์—…์—์„œ ์ง€ํ•˜๊ณต๊ฐ„ (7.75 ใŽŽ/ใŽฅ)๊ณผ ์ง€์ƒ์ธต ์‹ค๋‚ด๊ณต๊ฐ„ (2.15 ใŽŽ/ใŽฅ)์˜ ์šฉ์ ‘ํ„ ๋†๋„์ฐจ์ด๋Š” ์•ฝ 3.6๋ฐฐ๋กœ ๋”์šฑ ์ปค์„œ ์ž‘์—…์žฅ ํ™˜๊ธฐ์กฐ๊ฑด์ด ์šฉ์ ‘ํ„ ๋†๋„์— ์ค‘์š”ํ•œ ํ™˜๊ฒฝ๋ณ€์ˆ˜ ์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์šฉ์ ‘์ž‘์—… ์œ„ํ—˜๋„๊ฐ€ ๋†’์€ ์ผ๋ฐ˜๊ฑด์ถ•๋ฌผ์˜ ๋ฐฐ๊ด€์šฉ์ ‘๊ณผ ์ฒ ๊ณจ์šฉ์ ‘์ž‘์—…, ์ง€ํ•˜๊ณต๊ฐ„์—์„œ์˜ ์šฉ์ ‘์ž‘์—…, CO2 ์šฉ์ ‘์ž‘์—… ๋“ฑ์„ ์ˆ˜ํ–‰ํ•  ์‹œ์—๋Š” ํ™˜๊ธฐ์žฅ์น˜ ์‚ฌ์šฉ๊ณผ ํ˜ธํก์šฉ ๋ณดํ˜ธ๊ตฌ ์ฐฉ์šฉ ๋“ฑ ์ฒ ์ €ํ•œ ์ž‘์—…ํ™˜๊ฒฝ๊ด€๋ฆฌ์™€ ์ž‘์—… ์‹œ ์•„ํฌ๊นŒ์ง€ ์ผ์ •๊ฑฐ๋ฆฌ ์œ ์ง€, ์ ์ • ์šฉ์ ‘์ „๋ฅ˜ ์„ ํƒ ๋“ฑ ์šฉ์ ‘ํ„ ๋ฐœ์ƒ์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ๊ทผ๋กœ์ž ์•ˆ์ „๋ณด๊ฑด๊ต์œก์ด ํ•„์š”ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์•„์ŠคํŒ”ํŠธ ๋„๋กœํฌ์žฅ์„ ์‹ค์‹œํ•˜๋Š” ๊ฑด์„คํ˜„์žฅ 3๊ฐœ์†Œ์—์„œ ์•„์ŠคํŒ”ํŠธ ํ„(๋ฒค์  ์ถ”์ถœ๋ฒ•) ๋ฐ ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ(PAHs) ๋†๋„๋ฅผ ์ง์ข…๋ณ„๋กœ ์‚ดํŽด๋ณด์•˜๋‹ค. ์•„์ŠคํŒ”ํŠธ ํ„(๋ฒค์  ์ถ”์ถœ๋ฒ•) ๋†๋„์˜ ์ง์ข…๋ณ„ ์ฐจ์ด๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ํฌ์žฅํŠน๊ณต (42.32 ใŽ/ใŽฅ), ํฌ์„ค์žฅ๋น„ ์šด์ „์› (41.57 ใŽ/ใŽฅ), ๋จธ์บ๋ค ์šด์ „์› (31.9 ใŽ/ใŽฅ), ํƒ€์ด์–ด ์šด์ „์› (30.31 ใŽ/ใŽฅ) ์ˆœ์œผ๋กœ ๋†’์•˜๋‹ค. ์•„์ŠคํŒ”ํŠธ ํ„์€ ๋…ธ์ถœ๊ธฐ์ค€ 500 ใŽ/ใŽฅ์˜ ์•ฝ 10% ์ˆ˜์ค€์œผ๋กœ ๋งค์šฐ ๋‚ฎ์•˜์œผ๋‚˜, PAHs์˜ ๊ฒฝ์šฐ, ๋Œ€๊ธฐํ™˜๊ฒฝ ๋†๋„์™€ ๋น„๊ตํ•˜๋ฉด ์ˆ˜๋ฐฑ๋ฐฐ ๋†’์€ ๋†๋„์ˆ˜์ค€์ด์—ˆ์œผ๋ฉฐ, ๋„๋ฃŒ, ํƒ€๋ฅด ์ œ์กฐ์—… ๋“ฑ ํƒ€ ์—…์ข…๊ณผ ๋น„๊ตํ•˜์—ฌ ์ด PAHs ๋†๋„๋Š” ๋‚ฎ์•˜์œผ๋‚˜, ์„ธ๋ถ€๋ฌผ์งˆ ์ค‘ Benzo(a)pyrene ๋†๋„๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ํŠน์„ฑ์ด ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์•„์ŠคํŒ”ํŠธ ๋„๋กœํฌ์žฅ ์ž‘์—…์˜ ๊ฒฝ์šฐ ์ฃผ๋ณ€ ๊ฑด๋ฌผ ๋ฐ ํ’์† ๋“ฑ ํ™˜๊ฒฝ๋ณ€์ˆ˜์— ๋”ฐ๋ฅธ ๋†๋„๋ณ€์ด๊ฐ€ ๋งค์šฐ ํฐ ํŠน์„ฑ์ด ์žˆ์œผ๋ฏ€๋กœ ๋‹ค์–‘ํ•œ ์ž‘์—…ํ˜„์žฅ์„ ๋Œ€์ƒ์œผ๋กœ ์ถ”๊ฐ€์ ์ธ ๋…ธ์ถœํ‰๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ทธ๋™์•ˆ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์ง€ ๋ชปํ•œ ๊ฑด์„ค์—… ๊ทผ๋กœ์ž์˜ ์œ ํ•ด์ธ์ž ๋ฐ ๋…ธ์ถœ๋†๋„ ์ˆ˜์ค€์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ง์ข…๋ณ„ ๋…ธ์ถœํ‰๊ฐ€ ๊ฒฐ๊ณผ์—์„œ ๋Œ€๋ถ€๋ถ„์˜ ์ž‘์—…์ด ๋…ธ์ถœ๊ธฐ์ค€์„ ์ดˆ๊ณผํ•˜์—ฌ ์ง์—…์„ฑ ์•” ๋“ฑ ๊ฑด๊ฐ•์žฅํ•ด ๋ฐœ์ƒ ์œ„ํ—˜์ด ๋†’์€ ์ˆ˜์ค€์ž„์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ฒ ์ด์‹œ์•ˆ(Bayesian) ํ†ต๊ณ„๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ํ‰๊ฐ€์ž๋ฃŒ์˜ 95% ์ƒ์œ„๊ฐ’์ด ๋…ธ์ถœ๊ธฐ์ค€์„ ์ดˆ๊ณผํ•  ํ™•๋ฅ ์„ ์‚ดํŽด๋ณด๋ฉด, ์ง€ํ•˜๊ตด์ฐฉ๊ณต์˜ ์›์†Œํƒ„์†Œ ๋ฐ ์‚ฐํ™”๊ทœ์†Œ(๊ฒฐ์ •์ฒด), ์ฝ˜ํฌ๋ฆฌํŠธ ํ• ์„, ๊ทธ๋ผ์ธ๋”ฉ๊ณต์˜ ์‚ฐํ™”๊ทœ์†Œ(๊ฒฐ์ •์ฒด), ๋„์žฅ๊ณต์˜ ํœ˜๋ฐœ์„ฑ ์œ ๊ธฐํ™”ํ•ฉ๋ฌผ, ์ผ๋ฐ˜๊ฑด์ถ•๋ฌผ ๋ฐฐ๊ด€์šฉ์ ‘๊ณต ๋ฐ ์ฒ ๊ณจ์šฉ์ ‘๊ณต์˜ ์šฉ์ ‘ํ„ ๋†๋„๋Š” ์•ฝ 5% ์ด์ƒ์˜ ์ž‘์—…์ž๋Š” ๋…ธ์ถœ๊ธฐ์ค€์„ ์ดˆ๊ณผํ•  ์šฐ๋ ค๊ฐ€ ์žˆ์Œ์œผ๋กœ ํ‰๊ฐ€๋˜์–ด ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์ด ์š”๊ตฌ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ๊ฑด์„คํ˜„์žฅ์˜ ํŠน์„ฑ์ƒ ํ‰๊ฐ€๊ทธ๋ฃน๋ณ„ ๋†๋„์˜ ๋ณ€์ด์ˆ˜์ค€์ด ๋†’์Œ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ํ–ฅํ›„ ์ž‘์—…ํ™˜๊ฒฝ์ธก์ • ์‹œ ๋ณ€์ด๋ฅผ ๊ณ ๋ คํ•œ ์ ์ • ์‹œ๋ฃŒ์ˆ˜, ๋ฐ˜๋ณต์ธก์ • ๋ฐ ์œ ์‚ฌ๋…ธ์ถœ๊ทธ๋ฃน ์„ ์ •๊ณผ ์ถ”์ • ์ƒํ•œ์น˜ ๋“ฑ์„ ํ†ตํ•œ ์œ„ํ—˜์ˆ˜์ค€ ํ‰๊ฐ€ ์ ์šฉ์ด ํ•„์š”ํ•จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํ‰๊ฐ€๋†๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ํ™˜๊ฒฝ๋ณ€์ˆ˜๋Š” ์ž‘์—…์žฅ์˜ ํ™˜๊ธฐ์กฐ๊ฑด, ๊ฑด์ถ•์žฌ๋ฃŒ, ์ž‘์—…๋ฐฉ์‹ ๋“ฑ์ž„์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ง์ข…๋ณ„ ํŠน์„ฑ์— ๋งž๋Š” ์ง€์†์ ์ธ ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„  ๋…ธ๋ ฅ๊ณผ ์„ค๊ณ„๋‹จ๊ณ„์—์„œ๋ถ€ํ„ฐ ์œ ํ•ด์ธ์ž ๋…ธ์ถœ์„ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๊ณต๋ฒ•์˜ ๋„์ž… ๋“ฑ์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ, ํ–ฅํ›„ ๊ฑด์„ค์—… ํŠนํ™”๋œ ์ž‘์—…ํ™˜๊ฒฝ์ธก์ • ๋ฐ ๊ฑด๊ฐ•๊ด€๋ฆฌ์ œ๋„์˜ ๊ฐœ์„ ๊ณผ ์ง€์†์ ์ธ ๋…ธ์ถœํ‰๊ฐ€ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ์ด๋ฒˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๊ฑด์„ค๋…ธ๋™์ž์˜ ์—…๋ฌด์ƒ ์งˆ๋ณ‘ ์—ญํ•™์กฐ์‚ฌ ์‹œ, ๋…ธ์ถœ๋†๋„ ์˜ˆ์ธก์„ ์œ„ํ•œ ์ž๋ฃŒ๋กœ ํ™œ์šฉ๊ฐ€๋Šฅํ•˜๋ฉฐ, ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๋„์ถœ๋œ ๋†๋„์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์ฃผ์š” ํ™˜๊ฒฝ๋ณ€์ˆ˜ ๋ฐ ๊ฐœ์„ ๋ฐฉ์•ˆ์— ๋”ฐ๋ผ ๊ฑด์„คํ˜„์žฅ ์ž‘์—…ํ™˜๊ฒฝ๊ฐœ์„ ์—๋„ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.The construction industry is highly dependent upon human labor compared to other industries. Construction workers are exposed to various hazardous substances simultaneously. However, little is known about the exposure level of hazardous substances due to the characteristics of frequent workplace shifts, changes in the working environment, and the multi-level subcontractor structure. This study was aimed at (a) identifying the exposure hazards of construction workers, (b) conducting an exposure assessment of carcinogenic substances for high-risk construction workers (excavation workers, concrete finishers, waterproof painters, welders, and asphalt road pavers), and (c) determining the variables most affecting hazardous substances concentrations and work environment improvement methods for construction workers. Identification of the exposure hazards among construction workers by job type The exposure hazards of 27 construction jobs were identified and summarized through a literature review and walk-through survey. Construction workers were exposed to noise, vibrations, ultraviolet rays, solar radiation, various types of dust (cement, concrete, wood, glass wool, mineral, and gypsum), and chemicals such as crystalline silica, diesel engine exhaust, asphalt fumes, asbestos, lead, chromium, epoxy/urethane, isocyanate, carbon monoxide, metal fumes, and volatile organic compounds. The most frequently exposed seven hazards were noise, vibrations, solar radiation, crystalline silica, cement/concrete dust, metal fumes, and volatile organic compounds. As for the exposure characteristics, construction workers were exposed to various hazards simultaneously, including carcinogenic substances and those with adverse reproductive effects. Among construction workers, the job types with the highest risk of exposure to carcinogens, and in which occupational cancer has been reported, were excavation workers, concrete finishers, painters, welders, and asphalt road pavers. Exposure assessment of elemental carbon, polycyclic aromatic hydrocarbons and respirable crystalline silica among underground excavation workers The concentration of elemental carbon (EC), organic carbon (OC), and total carbon (TC) (n = 105), polycyclic aromatic hydrocarbons (PAHs) (n = 50), respirable dust (RD) (n = 34) and respirable crystalline silica (RCS) (n=34) were evaluated inside and outside the excavator at an underground excavation worksite in four different construction sites. EC, OC, and TC were collected on a quartz filter and analyzed using the thermal optical transmittance method. PAHs were collected on a polytetrafluoroethylene (PTFE) filter with an XAD-2 tube and analyzed using liquid chromatography with a fluorescence detector. RD and RCS were collected on a polyvinyl chloride (PVC) filter with aluminum cyclone and analyzed using Fourier-transform infrared spectroscopy. The geometric mean (GM) of respirable EC, OC, TC, total PAHs, RD, and RCS were 8.69 ใŽ/ใŽฅ, 34.32 ใŽ/ใŽฅ, 44.96 ใŽ/ใŽฅ, 6.82 ใŽ/ใŽฅ 0.13 ใŽŽ/ใŽฅ and 0.02 ใŽŽ/ใŽฅ inside the excavator and 33.20 ใŽ/ใŽฅ, 41.53 ใŽ/ใŽฅ, 78.21 ใŽ/ใŽฅ, 3.93 ใŽ/ใŽฅ, 0.9 ใŽŽ/ใŽฅ, and 0.08 ใŽŽ/ใŽฅ, respectively, outside the excavator at the underground excavation worksite. The EC concentrations exceeded the recommended exposure limits as of 20 ใŽ/ใŽฅ accounted for about 50% of the total samples, and the GM of RCS outside the excavator exceeded 1.5 times the occupational exposure limit (OEL) of 0.05 ใŽŽ/ใŽฅ. The worksites with hard rock ground, higher vehicle density, blasting work, and enclosed environments had higher worker exposure to EC than the other sites (p < 0.05). The most influential variables were the ground type and ventilation condition. In particular, in high-risk excavations in rocky ground and enclosed environments, more effort is needed to improve the working environment by introducing water-spraying facilities and supplying fresh air and ventilation. Furthermore, the replacement of old vehicles, regular vehicle maintenance, and the use of low sulfur oil is suggested. Exposure assessment of RD and RCS among concrete finishing workers The concentration of RD and RCS (n = 129) and the size distribution of the particles (n = 6) using a cascade impactor were evaluated at eight apartment complex construction sites. RD and RCS were collected on PVC filters with aluminum cyclone and analyzed using Fourier-transform infrared spectroscopy. The GM of RCS in concrete grinding (2.06 ใŽŽ/ใŽฅ) and concrete chipping (0.12 ใŽŽ/ใŽฅ) exceeded 40 times and two times the OEL of 0.05 ใŽŽ/ใŽฅ, respectively. The highest concentration of RCS in concrete grinding work was found in the staircases (4.18 ใŽŽ/ใŽฅ), followed by the inside walls of the apartment units (2.76 ใŽŽ/ใŽฅ), underground parking lots (1.30 ใŽŽ/ใŽฅ), and exterior walls (0.89 ใŽŽ/ใŽฅ). The GM of RD from concrete chipping, grinding, and plastering was 1.78 ใŽŽ/ใŽฅ, 49.96 ใŽŽ/ใŽฅ, and 0.37 ใŽŽ/ใŽฅ, respectively. The mass fraction of inhalable, thoracic, and respirable crystalline silica from concrete chipping was 73.9%, 40.2%, and 17.9% and 76.0%, 46.3%, and 19.7% from concrete grinding, respectively. The highest RCS concentration was reported in concrete grinding tasks, and the smaller the space, the higher the concentration. The most influential variables were the type of task and size of the workplace. During concrete grinding work, multiple control methods must apply to improve the work environment such as local exhaust ventilation system or water-spraying facilities targeting fine-dust (less than 10 ใŽ›), simultaneously with the application of high-efficiency respirators. Exposure assessment of total volatile organic compounds among construction waterproofing painters The concentration of total volatile organic compounds (TVOCs) in waterproof painting work was monitored at eight construction sites using an organic vapor monitor (n = 88). Gas chromatography with flame ionization detection was used to identify and quantify the individual organic chemicals. The GM of the TVOCs exposure index (EI, OEL = 1) by work type was the highest when primer roller painting (1.2), followed by urethane resin spread painting (0.85), workplace area samples (0.83), mixing paint (0.53), and assisting the painter (0.35). The GM of the TVOCs EI by workplace was highest in the bathroom (1.4), followed by the swimming pool (1.37), pilot floor (0.89), ground parking lot (0.82), and rooftop (0.57). From this study, the GM of the TVOCs EI was about 78% the level of the Korea OEL (KOEL), and 38.6% of the total samples exceeded the OEL. However, when calculating the EI, according to the ACGIH-TLVs, the GM of TVOCs EI was 1.84, which was more than twice as high as when the KOEL was applied. The highest TVOCs concentration was reported in primer painting tasks in an indoor workplace. The most influential variables were the work environment (indoor vs. outdoor) and the solvent content of the paint. Indoor painting work must apply a ventilation system, and personal protective devices with an appropriate protection factor, and efforts are needed to substitute paints with fewer toxic substances. Exposure assessment of welding fumes and metals among construction welders. The concentration of welding fumes and metals (n = 206) was evaluated using PVC filters with gravimetric analysis and inductively coupled plasma at eight construction sites, including three apartments, two offices, two plant buildings, and one hospital. Among the different welding tasks, the welding fume exposure was the highest for general building pipefitters (4.75 ใŽŽ/ใŽฅ), followed by ironworkers (3.77 ใŽŽ/ใŽฅ), boilermakers (1.38 ใŽŽ/ใŽฅ), metal finishing welders (0.78 ใŽŽ/ใŽฅ), and chemical pipefitters (0.71 ใŽŽ/ใŽฅ). Among the different welding techniques, welding fume concentrations were highest when CO2 welding (2.08 ใŽŽ/m3), followed by shield metal arc welding (SMAW, 1.54 ใŽŽ/ใŽฅ), and tungsten inert gas welding (TIG, 0.70 ใŽŽ/ใŽฅ). Among the different workplaces, welding fume concentrations were highest at the underground workplace (7.75 ใŽŽ/ใŽฅ) followed by the ground level workplace (2.15 ใŽŽ/ใŽฅ). In particular, high-risk welding tasks as general building pipefitters and ironworkers, underground welding work, and CO2 welding techniques require more attention to occupational health management, including air supply and exhaust systems, and worker training on welding fume characteristics by welding base material and welding methods. Exposure assessment of asphalt fumes and PAHs among road pavers. The concentration of asphalt fume (benzene soluble, n = 42) and PAHs (n = 41) was analyzed at three asphalt road pavement construction sites. Asphalt fumes were sampled using PTFE filters. PAHs were sampled using an XAD-2 tube with a glass fiber filter and analyzed using liquid chromatography with fluorescence detection. The exposure to asphalt fumes as benzene soluble aerosols was highest to road pavers (42.32 ใŽ/ใŽฅ), followed by paver finisher operators (41.57 ใŽ/ใŽฅ), macadam roller operators (31.9 ใŽ/ใŽฅ), and tire roller operators (30.31 ใŽ/ใŽฅ). The most influential variables were the asphalt temperature, the installation of hopper ventilation systems in the paver finisher, and the surrounding building conditions. The benzo(a)pyrene equivalent concentration (BaPeq) was 2.81 for paver finisher operators, 2.07 for road pavers, 0.41 for tire roller operators, and 0.25 for macadam roller operators. The BaPeq values for asphalt road paving workers was higher than that for workers in other PAHs exposure occupations even though at lower total PAHs concentrations. This study confirmed the carcinogenic exposure hazards of asphalt road paving workers. This study identified hazardous substance exposure among construction workers. Construction workers were exposed to various hazards simultaneously. The exposure assessment of construction workers demonstrated that excavation workers (respirable EC and RCS), concrete finishers (RD and RCS), construction painters (TVOCs), and welders (welding fume for pipefitters, boilermakers, and ironworkers) had possibilities of at least more than 5% of the exposure evaluation samples exceeded the exposure limits and their work environment was evaluated as poorly controlled. Efforts are needed to eliminate hazards during design, substitute with less toxic materials and processes, remove workers from hazardous work, select appropriate equipment, reduce the time exposed to hazards, wear protective equipment and conduct regular health checks and concentration monitoring. The characteristics of the exposure in the construction industry showed large day-to-day variations due to the mobile and varied tasks. Therefore, in the future, it is necessary to apply weights for variability when evaluating the work environment monitoring results for construction workers and manage the hazard concentration within the exposure limits. These variations should be applied to the decisions regarding the appropriate sample number, homogeneous exposure groups and the estimated upper limit of concentrations for risk assessment. This research data can be used to estimate the hazards exposure levels of construction workers when adjudicating occupational disease in health compensation insurance claims, and can contribute to improving the work environment at construction sites.1. Introduction 1 1.1. Characteristics of construction workers 1 1.2. Construction job types and hazards 3 1.3. High-risk construction workers 9 1.4. Research scope and overview 17 1.5. Objectives 19 2. Exposure Assessment of Elemental Carbon, Polycyclic Aromatic Hydrocarbons and Respirable Crystalline Silica among Underground Excavation Workers 20 2.1. Introduction 20 2.2. Materials and methods 23 2.3. Results 29 2.4. Discussion 46 2.5. Conclusions 53 3. Exposure Assessment of Respirable Dust and Crystalline Silica among Concrete Finishing Workers 54 3.1. Introduction 54 3.2. Materials and methods 56 3.3. Results 62 3.4. Discussion 74 3.5. Conclusions 77 4. Exposure Assessment of Total Volatile Organic Compounds among Construction Painters 84 4.1. Introduction 84 4.2. Materials and methods 85 4.3. Results 90 4.4. Discussion 100 4.5. Conclusions 103 5. Exposure Assessment of Welding Fumes and Metals among Construction Welders 104 5.1. Introduction 104 5.2. Materials and methods 106 5.3. Results 109 5.4. Discussion 129 5.5. Conclusions 133 6. Exposure Assessment of Asphalt Fumes and Polycyclic Aromatic Hydrocarbons among Road Pavers 134 6.1. Introduction 134 6.2. Materials and methods 136 6.3. Results 139 6.4. Discussion 147 6.5. Conclusions 151 7. Summary of conclusions 152 References 167 Appendix 185 ๊ตญ๋ฌธ์ดˆ๋ก 219Docto

    Emissions of total volatile organic compounds during the digital printing process

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    The impact of the type of digital machine on increasing of total volatile organic compounds (TVOCs) in the ambient air of the digital printing office was analysed in this study. For that purpose, the TVOCs concentrations in gas samples were measured by mobile gas chromatograph Voyager-Photovac. The cumulative concentrations values of TVOCs for the single-color digital machine were in the range from 0.56 to 5.90 ppm and almost 4 and 25 times below compared to the same values for the four-color digital machine (14.01 - 24.84 ppm). The obtained results could be useful for the future risk assessment of indoor exposure of TVOCs, and for the creation of printing indoor air quality guidelines of the Republic of Serbia

    Analisis Karakteristik Vocs (Volatile Organic Compounds) Pada Asap Kebakaran Lahan Gambut Fase Pembaraan (Smouldering) Dan Rekomendasi Pencegahan Kebakaran Lahan Gambut (Studi Kasus: Kabupaten Siak Dan Kabupaten Kampar Provinsi Riau)

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    Salah satu sumber pencemaran udara adalah pembakaran biomasa (biomass burning). Di Indonesia, sulitnya mencari lahan untuk kegiatan perladangan menyebabkan sebagian masyarakat mulai beralih memanfaatkan lahan gambut untuk areal pertanian. Sebagian masyarakat mengambil jalan praktis untuk membuka areal pertanian dengan membakar lahan gambut. Kebakaran lahan gambut khsusnya fase smouldering menghasilkan lebih banyak gas berbahaya seperti volatile organic compounds (VOCs). Provinsi Riau di Indonesia merupakan salah satu provinsi yang sering mengalami kebakaran lahan gambut selama musim kemarau. Tujuan dari penelitian ini yaitu mengidentifikasi VOCs yang diemisikan dari kebakaran lahan gambut (smouldering fire) dengan cara sampling langsung di titik api (sumber emisi) di Provinsi Riau tepatnya di Desa Langkai Kabupaten Siak dan Desa Rimbo Panjang Kabupaten Kampar, Indonesia. Dari hasil identifikasi terdapat 15 VOCs yang belum pernah teridentifikasi sebelumnya yaitu Hydrazinebenzene, 1-Propanethiol, Cholestadiene, Cholesteryl Butyrate, Cholesteryl Benzoate, 2-Ethyl Nitrobenzene, 1,2,3-Benzotriazin-4(3H)-One, Nonadecane, 2-Ethylacridine, Cholesterol Acetate, Hexacosane, 2-Nitrobenzaldehyde, 2-Pyridinepropanoic Acid, 4-Nitrobenzohydrazide dan Cholesteryl Caprate. Kemudian diketahui terdapat peningkatan persentase VOCs di Desa Langkai Kabupaten Siak dan Desa Rimbo Panjang Kabupaten Kampar jika dibandingkan dengan VOCs pada background. Konsentrasi maksimum TVOCs di Kabupaten Siak sebesar 391.880 ยตg/m3 sedangkan di Kabupaten Kampar sebesar 195.940 ยตg/m3. Konsentrasi TVOCs di Kabupaten Siak 130,63 kali lebih besar dibanding baku mutu yang ada, sedangkan di Kabupaten Kampar 65,31 kalinya. 4. Rekomendasi yang diberikan untuk pencegahan kebakaran lahan gambut dimasa mendatang berupa manajemen hidrologi di lahan gambut dengan cara penyekatan parit-parit eksisting (canal blocking) untuk mengatur ketinggian muka air tanah dan penanaman vegetasi tahan api di sekeliling areal pertanian yang tetap menghasilkan nilai ekonomis seperti pisang, pinang dan pepaya sebagai sekat bakar buatan

    Multipoint characterization of the emission of odour, volatile organic compounds and greenhouse gases from a full-scale membrane-based municipal WWTP

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    Altres ajuts: Acord transformatiu CRUE-CSICDifferent environmental and social concerns can arise due to the generation of gaseous emissions during the treatment of urban wastewater. However, there is not an extensive knowledge about which are the main potential odour and greenhouse gas (GHG) emission sources in a wastewater treatment plant (WWTP) and their variability. In this study, a multipoint characterization of the gaseous emissions generated in a full-scale municipal WWTP located in Barcelona was conducted, aiming at identifying the main odour and GHG emission sources. The WWTP under study treats an average inlet flow of 33,000 m3 dโˆ’1 using a Ludzack-Ettinger system with Membrane BioReactor (MBR) technology, and it has installed a gas caption and treatment system consisting of a biotrickling filter followed by a conventional biofilter to treat part of the off-gases produced during the wastewater treatment. For this work, gaseous emissions characterization campaigns were conducted to assess the proper performance of the gas treatment unit and to estimate the emission factors referred to odorants and GHGs for the different emission sources and to assess the proper performance of the gas treatment system. Besides, a chemical characterization of the different volatile organic compounds (VOC) present in the gaseous emissions was performed through TD-GC/MS. The main potential odour sources were the reception tank, the barscreens building and the primary settler, where odour concentrations were in the range of 1300 and 2600 ouยทmโˆ’3. Moreover, GHG emissions were found during the primary treatment and in the MBR units, ranging from 2.21 to 68,217.13 mg CO2eqยทmโˆ’3. Different VOCs such as aromatic hydrocarbons, alkanes and ketones were found in the gaseous emissions with a high variability among all the emission sources. The results obtained are valuable indicators that can be used to develop odour and GHG mitigation strategies in WWTPs and to estimate the environmental impact of these facilities
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