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Quantification of emission estimates of CO2, CH4 and CO for East Asia derived from atmospheric radon-222 measurements over the western North Pacific Cover

Quantification of emission estimates of CO2, CH4 and CO for East Asia derived from atmospheric radon-222 measurements over the western North Pacific

Open Access
|Jan 2013

Figures & Tables

Fig. 1. 

Geographical locations of the observational sites of Minamitorishima (MNM) and Yonagunijima (YON).

Fig. 2. 

Hourly mean observed atmospheric 222Rn concentration at MNM (a), YON (b). White circles indicate monthly mean concentration of 222Rn calculated from hourly mean data.

Fig. 3. 

Time series of hourly mean concentrations of atmospheric 222Rn, CH4, CO2 and CO observed at MNM in January 2010. Arrows point to the peak of each enhanced 222Rn event. The dashed and solid lines for 222Rn (top panel) are the smoothed fitting curve and the upper threshold of smaller ΔRn variability, respectively. The black and grey dots represent the enhanced 222Rn (ERN) events and non-enhanced events, respectively (see text). The black dots for other gases relate to the corresponding periods of the ERN events.

Fig. 4. 

Scatter plots of ΔCH4, ΔCO2 and ΔCO as a function of ΔRn observed at MNM in January 2010. The circles, crosses, diamonds and triangles represent enhanced 222Rn events of 4, 7, 8 and 10 in Fig. 3, respectively. The solid line represents the RMA regression for each event.

Fig. 5. 

Scatter plots of ΔCH4, ΔCO2 and ΔCO as a function of decay-corrected ΔRn of the event of 4, 7, 8 and 10 in Fig. 3. The solid lines represent the RMA regressions for each plot.

Fig. 6. 

Frequency distribution of the enhancement ratios of ΔCO/ΔRn, ΔCH4/ΔRn and ΔCO2/ΔRn for the ERN events observed at MNM and YON from December to April. The open and grey bars represent the observed and preformed enhancement ratios, respectively. Data with correlation coefficients greater than 0.5 are used here.

Fig. 7. 

Simulated and observed atmospheric concentration of 222Rn at MNM (a) and YON (b) in 2010. The black dots represent 6-hourly mean observed 222Rn and the red solid line represents simulated 222Rn.

Fig. 8. 

Contributive percentage and its grid-point distributions for the 222Rn tagged traced experiments for MNM (left panel) and YON (right panel). The resolutions of the grid are 5°×5° for MNM and 1.875°×1.875° for YON.

Fig. 9. 

Identified catchment areas for MNM (a) and YON (b). The grey shaded area represents the identified catchment area, together with the CO emission field (red contour) of the EDGAR ver. 4.2.

Table 1. Comparison of estimated emissions of CO, CH4, CO2 for the catchment areas of MNM and YON

MNM YON CO CH4 CO2 CO CH4 CO2 Reference year TgCO yr−1 TgCH4 yr−1 PgC yr−1 TgCO yr−1 TgCH4 yr−1 PgC yr−1 This work 2007–2011 (MNM) 127 30 1.5** 63 9 0.9** 2008–2011 (YON) ±31 ±9.6 ±0.5 ±28 ±2.9 ±0.3 EDGAR ver. 4.2 2009* 71 35 1.6 36 10 0.6 REAS 2009* 104 No data 1.2 45 No data 0.6 CDIAC ver. 2011 2009* No data No data 1.4 No data No data 0.5

[i] The error (±) represents the estimated uncertainties for the catchment areas.

[ii] *The emissions of EDGAR and CDIAC were calculated by extrapolation of the data from 2005 to 2008, and the emissions of REAS are predictions by linear interpolation between 2003 and 2010 (estimated).

[iii] **The biogenic CO2 emissions based on CASA were subtracted from the 222Rn-derived CO2 emissions.

Fig. 10. 

Comparisons of the estimated emissions of CO, CH4 and CO2 between this study and three emission databases for the catchment areas of MNM and YON. The databases are derived from the EDGAR ver.4.2, REAS for 2009, CDIAC ver. 2011. The error bars represent the estimated uncertainties (see text).

Language: English
Page range: 18037 - 18037
Submitted on: Mar 6, 2012
Accepted on: Jan 7, 2013
Published on: Jan 1, 2013
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2013 A. Wada, H. Matsueda, S. Murayama, S. Taguchi, S. Hirao, H. Yamazawa, J. Moriizumi, K. Tsuboi, Y. Niwa, Y. Sawa, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.