2012
DOI: 10.1016/j.atmosenv.2011.12.045
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Temporal and spatial variation characteristics of atmospheric emissions of Cd, Cr, and Pb from coal in China

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Cited by 217 publications
(122 citation statements)
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“…The statistical data of coal consumption and detailed emission factors are adopted to calculate the atmospheric emissions of Cd from coal burning. In this study, the methodologies for determining the average content of Cd in coals as produced and consumed at provincial levels are consistent with the previous detailed analysis, the detail algorithms for determining Cd content in coals as consumed, cleaned coals, coal briquettes, and cokes as produced can be referred to the previous studies (Tian et al 2010(Tian et al , 2011(Tian et al , 2012a. The data sources and final Cd content in coal products as consumed are listed in Table S1-S4 of the Supplemental Information (SI).…”
Section: Coal Combustionsupporting
confidence: 56%
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“…The statistical data of coal consumption and detailed emission factors are adopted to calculate the atmospheric emissions of Cd from coal burning. In this study, the methodologies for determining the average content of Cd in coals as produced and consumed at provincial levels are consistent with the previous detailed analysis, the detail algorithms for determining Cd content in coals as consumed, cleaned coals, coal briquettes, and cokes as produced can be referred to the previous studies (Tian et al 2010(Tian et al , 2011(Tian et al , 2012a. The data sources and final Cd content in coal products as consumed are listed in Table S1-S4 of the Supplemental Information (SI).…”
Section: Coal Combustionsupporting
confidence: 56%
“…Based on the results of variability analysis of Cd content in coals by bootstrap simulation (Tian et al 2011(Tian et al , 2012a, the Monte Carlo simulation is used to quantify the uncertainty of Cd emissions depending on available activity data and emission factors distribution. The emissions of anthropogenic sources with uncertainty (95 % confidence interval around the arithmetic mean value) are shown in Table 3.…”
Section: Uncertainty Analysismentioning
confidence: 99%
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“…For CFPs, because of the quality diversity of coal produced and interprovincial coal flows, the ash content of coal consumed differs from one province to another. In this study, coal transfer matrixes were applied to determine the ash content of coal consumed in each province, which was consistent with the methodology in our previous studies (Tian et al, 2010(Tian et al, , 2012Cheng et al, 2015). The provincial ash content of coal produced was compiled from the averaged value of commercial coal from the primary mining area, as shown in SI Fig.…”
Section: Emission Factors Of Pm 25mentioning
confidence: 99%
“…With CWS and CWSP, the main emphasis is on the use of low-rank coals, organic wastes, and black oils [8][9][10]. This results from the need to meet several objectives [8,9]: to reduce the dispersion of sulfur and carbon oxides during coal combustion, to expand the raw material resources base in order to produce fuels from the corresponding wastes, to improve combustion efficiency of low-rank coals, and to utilize organic wastes and black oils more effectively.…”
Section: Introductionmentioning
confidence: 99%