Volcanic Gas Study of the 2000 Miyakejima Volcanic Activity: Degassing Environment Deduced from Adhered Gas Component on Ash and SO2 Emission Rate.

Kazahaya, Kohei; Hirabayashi, Jun-ichi; Mori, Hirokazu; Odai, Masanobu; Nakahori, Yasuhiro; Nogami, Keiji; Nakada, Setsuya; Shinohara, Hiroshi; Uto, Kozo

doi:10.5026/jgeography.110.2_271

Cited by 39 publications

(22 citation statements)

References 8 publications

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“…The effect could be estimated from this simulation's results because it is almost linear due to the simple atmospheric reactions for sulfur compounds (i.e., when the emissions of one region are uniformly two times greater, the effects from the region on deposition in other regions can be estimated as about two times greater as well). The volcanic eruptions from Miyakejima have substantially decreased in recent years and are about 1000 tons per day, 10 times smaller than those in 2002 (August, 2009; recent monitoring data provided by Dr. Kazahaya using the same method as in Kazahaya et al, 2001) and almost of the same order as other volcanoes in East Asia. The effect of this rapid change in volcanic emissions can also be roughly estimated in the SRR analysis in the same manner as the seasonal variations of emissions were assessed.…”

Section: Annual Mean and Seasonal Trends Of Surface Concentrations Anmentioning

confidence: 96%

“…Oyama is located in the northwest Pacific Ocean, 180 km south of the Tokyo metropolitan area, and it began to erupt on 8 July 2000. The Seismological and Volcanological Department of the Japan Meteorological Agency (SVD-JMA) has collected continuous measurements of the SO 2 emissions and smoke height above the crater since September 2000 (Kazahaya, 2001). It was reported that the daily amount of SO 2 emissions from Mt.…”

Section: Parameters Used In the Simulationmentioning

confidence: 99%

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Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia

et al. 2011

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Abstract. The spatial distribution of the source-receptor relationship (SRR) of sulfur over Northeast Asia was examined using a chemical transport model (RAQM) off-line coupled with a meteorological model (MM5). The simulation was conducted for the entire year of 2002. The results were evaluated using monitoring data for six remote stations of the Acid Deposition Monitoring Network in East Asia (EANET). The modeled SO 2 and O 3 concentrations agreed well with the observations quantitatively. The modeled aerosol and wet deposition fluxes of SO 2− 4 were underestimated by 30 % and 50 %, respectively. The domain was divided into 5 source-receptor regions: (I) North China; (II) Central China; (III) South China; (IV) South Korea; and (V) Japan. The sulfur deposition in each receptor region amounted to about 50-75 % of the emissions from the same region. The largest contribution to the deposition in each region was originated from the same region, accounting for 53-84 %. The second largest contribution was due to Region II, supplying 14-43 %. The spatial distributions of the SRRs revealed that subregional values varied by about two times more than regional averages due to nonuniformity across the deposition fields. Examining the spatial distributions of the deposition fields was important for identifying subregional areas where the deposition was highest within a receptor region. The horizontal distribution changed substantially according to season.

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Section: Annual Mean and Seasonal Trends Of Surface Concentrations Anmentioning

confidence: 96%

Section: Parameters Used In the Simulationmentioning

confidence: 99%

Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia

et al. 2011

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“…Mudflows eroded valleys deeply, overflowed bridges along the coastal road and destroyed some buildings. Kikuchi et al 2001;Sasai et al 2001;Furuya et al 2003;Kazahaya et al 2001). b GPS data for baselines of NiijimaKozushima (Fig.…”

Section: Magma Intrusion Stage (26 June-7 July)mentioning

confidence: 98%

Chronology and products of the 2000 eruption of Miyakejima Volcano, Japan

et al. 2005

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“…e Japan Meteorological Agency (Kazahaya et al, 2001). f Model of Emissions of Gases and Aerosols from Nature (Guenther et al, 2012).…”

Section: Pm 25 Observation Sites and Sampling Periodsmentioning

confidence: 99%

Verification of Chemical Transport Models for PM2.5 Chemical Composition Using Simultaneous Measurement Data over Japan

Morino

Nagashima

Sugata

et al. 2015

Aerosol Air Qual. Res.

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Evaluation of models for simulating temporal and spatial variations of PM 2.5 chemical composition in Japan has been limited by the lack of observational data. In this study, we used PM 2.5 chemical composition data measured simultaneously over several regions of Japan in winter, spring, and summer 2012 to evaluate three sensitivity simulations, one based on a secondary organic aerosol (SOA) yield model and two based on a volatility basis set (VBS) model. Concentrations of sulfate (SO 4 2-), nitrate (NO 3 -), and ammonium (NH 4 + ) were well reproduced by all the simulations in summer. However, in winter and spring, SO 4 2-concentrations were underestimated and NO 3 -concentrations were overestimated by the standard simulation. NO 3 -concentrations were better reproduced by a model with dry-deposition velocities of nitric acid and ammonia enhanced by a factor of 5, as was done in a previous study. Observed concentrations of elemental carbon and organic aerosol (OA) were higher at urban sites than at the surrounding remote sites, and this behavior was not adequately reproduced by models with a grid size of 15 km. Further refinements of emission inventories and models are necessary for better simulations of PM 2.5 chemical compositions. OA concentration was greatly underestimated by the simulation based on the SOA yield model over all the seasons but was better reproduced by the simulations based on the VBS model in spring and summer because aging reactions were considered in the VBS model-based simulations. The VBS model-based simulations reproduced the observations that primary OA predominated in winter and that the contribution of SOA was higher than that of primary OA in spring and summer. These contributions should be validated by means of observation-based source contributions of OA in future studies.

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Volcanic Gas Study of the 2000 Miyakejima Volcanic Activity: Degassing Environment Deduced from Adhered Gas Component on Ash and SO2 Emission Rate.

Cited by 39 publications

References 8 publications

Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia

Spatial distribution of the source-receptor relationship of sulfur in Northeast Asia

Chronology and products of the 2000 eruption of Miyakejima Volcano, Japan

Verification of Chemical Transport Models for PM2.5 Chemical Composition Using Simultaneous Measurement Data over Japan

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