Development of multiple-species 1km×1km resolution hourly basis emissions inventory for Japan

Kannari, Akiyoshi; Tonooka, Yutaka; Baba, Tsuyoshi; Murano, Kentaro

doi:10.1016/j.atmosenv.2006.12.015

Cited by 139 publications

(97 citation statements)

References 4 publications

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“…Figure 3a-d shows the example of the spatial structure of the OWE changes under the meteorological conditions for the 70th to 98th percentile ranks of O 3max . For comparison, the spatial distributions of NO x and VOC emission fluxes from 06:00 to 15:00 LT in July 2000 (Kannari et al, 2007) are shown in Fig. 3e and f. The VOC emission flux values include the flux from biogenic sources.…”

Section: Reversals Of the Ozone Weekend Effectmentioning

confidence: 99%

Theoretical implication of reversals of the ozone weekend effect systematically observed in Japan

Kannari

Ohara

2010

Atmos. Chem. Phys.

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Abstract. Systematic changes of the ozone weekend effect are found over broad areas of Japan. These changes are characterized by (1) spatial reversals from a weekend increase in the vicinity of huge precursor source areas to a weekend decrease in the surrounding rural areas, and (2) temporal reversals from a weekend increase under relatively unsuitable meteorological conditions for ozone formation to a weekend decrease under relatively suitable conditions. We developed a simple numerical advection-reaction model to explain the relationship between the duration of advection and the supplied solar energy, which causes the daily maximum ozone concentration to be lower near the precursor source. Ozone isopleth diagrams for individual advection durations (equivalent to the distance from the source) for a wide range of initial precursor conditions show that both VOC-limited and NO x -limited regimes exist for each advection duration, but the area of NO x -limited regime becomes dominant as the advection duration increases because of the increased exposure of the air mass to solar energy. For given initial VOC and NO x concentrations, the area remote from the source becomes a NO x -limited regime even if the precursor source area is in the VOC-limited regime. The rate of reduction of weekend emissions of NO x is larger than that of VOC, causing a weekend increase in ozone inside an area of VOClimited regime near the source, but a weekend decrease in remote areas with a NO x -limited regime. The boundary between these two ozone formation regimes depends on meteorological conditions: when sunlight intensity and temperature are relatively low, the change from a VOC-limited to a NO x -limited regime occurs at a point more remote from the source than when they are relatively high, which causes a prevailing ozone weekend increase over a wide geographical area on days with lower ozone potential. Therefore, obserCorrespondence to: A. Kannari (kannari.akiyoshi@circus.ocn.ne.jp) vations of ozone weekend changes can be interpreted in light of the theoretical implications of our model; they can be used for determination of ozone formation regimes, which change in different locations and under different meteorological conditions.

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Section: Reversals Of the Ozone Weekend Effectmentioning

confidence: 99%

Theoretical implication of reversals of the ozone weekend effect systematically observed in Japan

Kannari

Ohara

2010

Atmos. Chem. Phys.

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“…Regarding VOCs emissions, we implemented NDVI as a predictor variable representing biogenic VOCs emissions, whereas anthropogenic VOCs were not considered. Kannari et al (2007) estimated biogenic and anthropogenic VOCs emissions in Japan as 1.5 and 2.1 (Tg/year) respectively. Thus, more than half of the emissions of VOCs were not considered in this study.…”

Section: Further Developmentmentioning

confidence: 99%

“…The NO x emissions from automobile traffic accounts for 40% of all NO x emissions in Japan (Kannari et al, 2007). Thus, more than half of NO 2 emissions were not included in our linear regression models.…”

Section: Further Developmentmentioning

confidence: 99%

Application of Regression Kriging to Air Pollutant Concentrations in Japan with High Spatial Resolution

Araki

Yamamoto

Kondo

2015

Aerosol Air Qual. Res.

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The application of regression kriging to air pollutants in Japan was examined for the purpose of providing a practical method to obtain a spatial distribution with sufficient accuracy and a high spatial resolution of 1 × 1 km. We used regulatory air monitoring data from the years 2009 and 2010. Predictor variables at 1 × 1 km resolution were prepared from various datasets to perform regression kriging. The prediction performance was assessed by indicators, including root mean squared error (RMSE) and R 2 , calculated from the leave-one-out cross validation results, and was compared to the results obtained from a linear regression method, often referred to as land use regression (LUR). Regression kriging wellexplained the spatial variability of NO 2 , with R 2 values of 0.77 and 0.78. Ozone (O 3 ) was moderately explained, with R 2 values of 0.52 and 0.66. The reason for this difference in performance between NO 2 and O 3 might be the characteristics of these pollutants -primary or secondary. Regression kriging outperformed the linear regression method with regard to RMSE and R 2 . The performance of regression kriging in this work was comparable to that found in previous studies. The results indicate that regression kriging is a practical procedure that can be applied for the prediction of the spatial distribution of air pollutants in Japan, with sufficient accuracy and a high spatial resolution.

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“…Emissions due to fossil fuel burning (FS) are prepared by combining values from two sources. (1) Over Japan, the industrial emissions are taken from the Japan Clean Air Program (JCAP) at a horizontal resolution of 1 × 1 km (Kannari et al 2007) and the emissions from automobiles are based on the East Asian Air Pollutant Emissions Grid Inventory (EAgrid, version: 2000). Diurnal and seasonal variations of these emissions are parameterized by an average variation prescribed in JCAP.…”

Section: Emission Inventorymentioning

confidence: 99%

Simulation of CO<sub>2</sub> Concentration over East Asia Using the Regional Transport Model WRF-CO<sub>2</sub>

Ballav

Patra

Takigawa

et al. 2012

Journal of the Meteorological Society of Japan

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The Weather Research and Forecasting (WRF) model is used for regional transport simulations of atmospheric carbon dioxide (referred to as WRF-CO 2 ) for the East Asia region at the horizontal resolution of 27 × 27 km. The domain extends from 18°N to 51°N in latitude and 101°E to 165°E in longitude, including the islands of Japan, South Korea, North Korea and a part of China. The simulation period is limited to the year 2002. To understand the role of surface fluxes and transport, we have simulated atmospheric CO 2 using 5 different CO 2 fluxes from ocean, fossil fuel and terrestrial biospheres at various horizontal resolutions, and at hourly to monthly time intervals. The model simulations are compared with observed time series at 9 stations, which are located under different ecological and climate

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Development of multiple-species 1km×1km resolution hourly basis emissions inventory for Japan

Cited by 139 publications

References 4 publications

Theoretical implication of reversals of the ozone weekend effect systematically observed in Japan

Theoretical implication of reversals of the ozone weekend effect systematically observed in Japan

Application of Regression Kriging to Air Pollutant Concentrations in Japan with High Spatial Resolution

Simulation of CO<sub>2</sub> Concentration over East Asia Using the Regional Transport Model WRF-CO<sub>2</sub>

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