On-site Multi Monitoring of Isoprene and Related Compounds in Forest Air

Toda, Kei; Hirota, Kazutoshi; Tokunaga, Wataru; Suda, Daisaku; Gushiken, Yosuke; Ohira, Shin Ichi

doi:10.2116/bunsekikagaku.60.489

Cited by 8 publications

(15 citation statements)

References 26 publications

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“…Isoprene from vegetation is the most probable precursor of HCHO in forest and rural areas. The diurnal variation of isoprene concentration in forest is very sharp in Japan (Toda et al 2011(Toda et al , 2012. It increases with increasing solar radiation and reaches the highest level at about noon, after which it gradually subsides and almost reaches zero at nighttime.…”

Section: Diurnal Variation Of Hcho Vs Solar Radiation/temperaturementioning

confidence: 98%

“…Therefore, a significant research has been dedicated to atmospheric pollution that is caused by HCHO (Satsumabayashi et al 1995;Solberg et al 2001;Frost et al 2002;Possanzini et al 2002; National Institute for Environmental Studies of Japan 2014, https://www.env.go.jp/ air/osen/monitoring/mon_h26/ref01_2-1.pdf). Information regarding the source of primary HCHO emissions and the precursors required for the secondary formation of HCHO in large cities and forests is of significant importance for determining ambient HCHO levels (Kesselmeier et al 2000;Garcia et al 2006;Pang et al 2009;Corrêa et al 2010;Curci et al 2010;Dasgupta et al 2005;Dutta et al 2010;Guven and Olaguer 2011;Parrish et al 2012;Lui et al 2017;Marvin et al 2017;Toda et al 2011Toda et al , 2012.…”

Section: Introductionmentioning

confidence: 99%

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Investigation and modeling of diurnal variation in suburban ambient formaldehyde concentration

Taguchi

Hagiwara

Shibata

et al. 2020

Environ Sci Pollut Res

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Formaldehyde (HCHO) is a naturally occurring compound found in ambient air which can induce cancer and sick-building syndrome. It plays an important role in the formation of OH radicals, which are connected to the formation of various airborne chemicals. Herein, we present a simple modeling for the simulation of diurnal variations in the HCHO concentration of ambient air. This was achieved using data collected during different seasons from November 2015 to March 2017 at a suburban location in Toyama City (Japan), where non-methane hydrocarbon (NMHC) levels were low at sub carbon ppm (ppmC) order. The modeling was based on the assumption that photochemical reactions of methane were the major factor of secondary HCHO formation. The model took into account the production and decomposition of HCHO by photochemical reactions as well as its loss due to other reactions such as dry deposition. Accordingly, the model's equation contained terms for solar radiation, temperature, and methane concentration. The results predicted using the model showed good agreement with the experimental data observed on fine days, i.e., except rainy, foggy, and heavily cloudy days. The relationships between HCHO concentration and solar radiation/temperature on different days as well as the seasonal variation of HCHO concentration were also interpreted by the proposed model. This study contributes to the evaluation of the pollution levels of formaldehyde. Moreover, the model may be used to demonstrate the impact of increasing methane levels, with regard to global warming and the background levels of HCHO in the atmosphere.

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Section: Diurnal Variation Of Hcho Vs Solar Radiation/temperaturementioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Investigation and modeling of diurnal variation in suburban ambient formaldehyde concentration

Taguchi

Hagiwara

Shibata

et al. 2020

Environ Sci Pollut Res

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show abstract

“…Outside air was aspirated into the laboratory via a manifold and then applied to a NO x monitor (model 42i, Nippon Thermo, Kyoto), portable GC (RGM-1, Round Science, Kyoto) and our original instrument, a single column trapping/separation-chemiluminescence detection (SCTS-CL) system for isoprene analysis. [37][38][39] An O 3 monitor (model 49i, Nippon Thermo) aspirated air separately because its high aspiration rate interfered with samplings of the other instruments. A PTFE filter (4 47 mm) (PF020, Advantec, Tokyo) was placed at the inlet of the gas sampling line.…”

Section: Field Application and Validationmentioning

confidence: 99%

Mobile monitoring along a street canyon and stationary forest air monitoring of formaldehyde by means of a micro-gas analysis system

et al. 2012

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A micro-gas analysis system (μGAS) was developed for mobile monitoring and continuous measurements of atmospheric HCHO. HCHO gas was trapped into an absorbing/reaction solution continuously using a microchannel scrubber in which the microchannels were patterned in a honeycomb structure to form a wide absorbing area with a thin absorbing solution layer. Fluorescence was monitored after reaction of the collected HCHO with 2,4-pentanedione (PD) in the presence of acetic acid/ammonium acetate. The system was portable, battery-driven, highly sensitive (limit of detection = 0.01 ppbv) and had good time resolution (response time 50 s). The results revealed that the PD chemistry was subject to interference from O(3). The mechanism of this interference was investigated and the problem was addressed by incorporating a wet denuder. Mobile monitoring was performed along traffic roads, and elevated HCHO levels in a street canyon were evident upon mapping of the obtained data. The system was also applied to stationary monitoring in a forest in which HCHO formed naturally via reaction of biogenic compounds with oxidants. Concentrations of a few ppbv-HCHO and several-tens of ppbv of O(3) were then simultaneously monitored with the μGAS in forest air monitoring campaigns. The obtained 1 h average data were compared with those obtained by 1 h impinger collection and offsite GC-MS analysis after derivatization with o-(2,3,4,5,6-pentafluorobenzyl)hydroxylamine (PFBOA). From the obtained data in the forest, daily variations of chemical HCHO production and loss are discussed.

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“…The cell made of stainless-steel was the same as that used in our previous studies for sulfur gases 25,26 and isoprene. 27,28 AsH3 and O3 were introduced to the cell by different inlets. Although relatively good responses were obtained for the 100 μg L -1 arsenic solution, the intensities decreased gradually because of corrosion of the cell during AsH3 detection.…”

Section: Investigation Of CL Cellmentioning

confidence: 99%

High Sensitivity Arsenic Analyzer Based on Liquid-reagent-free Hydride Generation and Chemiluminescence Detection for On-site Water Analysis

et al. 2011

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In this work, a portable and reliable instrument based on manual hydride generation and subsequent ozone induced chemiluminescence analysis was developed and optimized for measurement of aqueous arsenic in drinking water. The aim was to develop a system for use in the field in villages in developing countries where water treatment systems have been installed. Consequently, it is beneficial that the system could be operated without reagent solutions or purified water. Arsenic trihydride (arsine) was generated by reaction with solid acid and solid borohydride, and then introduced to a chemiluminescence cell where the arsine was mixed with ozone to generate chemiluminescence. The measurement could be repeated with the throughput of 60 times h -1 , and the limit of detection was 0.4 μg L -1. The measurable arsenic concentration was up to 1 mg L -1 for 2 mL samples. The system was evaluated for analysis of natural water samples, and the obtained data agreed well with those from ICP-MS and sequential hydride generation flow analysis. We expect this small and inexpensive instrument will be used in developing countries.

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On-site Multi Monitoring of Isoprene and Related Compounds in Forest Air

Cited by 8 publications

References 26 publications

Investigation and modeling of diurnal variation in suburban ambient formaldehyde concentration

Investigation and modeling of diurnal variation in suburban ambient formaldehyde concentration

Mobile monitoring along a street canyon and stationary forest air monitoring of formaldehyde by means of a micro-gas analysis system

High Sensitivity Arsenic Analyzer Based on Liquid-reagent-free Hydride Generation and Chemiluminescence Detection for On-site Water Analysis

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