14C-AMS measurements in modern tree rings to trace local fossil fuel-derived CO2 in the greater Xi'an area, China

Hou, Yuanjun; Zhou, Weijian; Cheng, Peng; Xiong, Xiaozhen; Du, Hu; Niu, Zhenchuan; Yu, Xilong; Fu, Yang; Lu, Xuefeng

doi:10.1016/j.scitotenv.2020.136669

Cited by 17 publications

(8 citation statements)

References 109 publications

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“…However, there was no noticeable difference between the 14 C activities of rice husk and corn straw. This disparity can be attributed to the distinct growth cycles of these plant materials and the fluctuations in atmospheric 14 C activity over the past few decades, which have been influenced by the “Nuclear explosion effect” and “Suess effect” . The 14 C activity of annual plants, such as RH and CS, serves as an indicator of the atmospheric 14 C activity during the growing year, and it tended to be lower compared to perennial plants, which reflect the average atmospheric 14 C activity over multiple years.…”

Section: Resultsmentioning

confidence: 99%

“…This disparity can be attributed to the distinct growth cycles of these plant materials and the fluctuations in atmospheric 14 C activity over the past few decades, which have been influenced by the "Nuclear explosion effect" 11 and "Suess effect". 30 The 14 C activity of annual plants, such as RH and CS, serves as an indicator of the atmospheric 14 C activity during the growing year, and it tended to be lower compared to perennial plants, which reflect the average atmospheric 14 C activity over multiple years. However, the 14 C activity of annual plants may exhibit some degree of variation due to human factors such as the excessive use of fossil fuel 30,31 or some other factors such as variations in growing seasons.…”

Section: Calculation Of Biomass-coal Blendingmentioning

confidence: 99%

“…30 The 14 C activity of annual plants, such as RH and CS, serves as an indicator of the atmospheric 14 C activity during the growing year, and it tended to be lower compared to perennial plants, which reflect the average atmospheric 14 C activity over multiple years. However, the 14 C activity of annual plants may exhibit some degree of variation due to human factors such as the excessive use of fossil fuel 30,31 or some other factors such as variations in growing seasons. 11,32 This study provides evidence of this phenomenon.…”

Section: Calculation Of Biomass-coal Blendingmentioning

confidence: 99%

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Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method

Wang,

Luo,

et al. 2024

Energy Fuels

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Increased utilization of biomass gasification gas-coal cocombustion has created a need for an accurate method to measure biomass-coal blending ratios. The inexpensive and costeffective 14 C-liquid scintillation count (LSC) method has attracted worldwide attention. In this study, the blending ratios (in the range of 1−10%) during biomass gasification gas-coal cocombustion were determined using the 14 C-LSC method, and the accuracy and precision were analyzed in detail. Meanwhile, the blending ratio uncertainty caused by inaccuracies in each factor during the calculation process was quantitatively analyzed. The results of the blending ratios showed a perfect linear fit with the actual values. The absolute and relative uncertainties were both less than ±0.43% and ±9.27%, respectively. Additionally, the relative uncertainties of the majority of the groups were less than ±5%. The accuracy of the 14 C-LSC method was not affected by the types of fuel or the blending ratios. The absolute deviation was positively related to the blending ratio, while the relative deviation was negatively related to it. Both deviations decreased with increasing 14 C activity of the biomass gas. The primary factors that influenced the uncertainty in the measured blending ratio were the 14 C activities of the flue gas and the pure biomass. Except for the 14 C activity of biomass, the influence of the other factors on the uncertainty of the measured blending ratio decreased as the blending ratio increased.

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Section: Resultsmentioning

confidence: 99%

Section: Calculation Of Biomass-coal Blendingmentioning

confidence: 99%

Section: Calculation Of Biomass-coal Blendingmentioning

confidence: 99%

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Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method

Wang,

Luo,

et al. 2024

Energy Fuels

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“…This was achieved by analyzing data from various economic indicators of each city and combining them with the 14 C activity of the collected tree ring samples. Following the collection process described by Hou [20], representative samples of tree rings were obtained for each city's atmospheric 14 CO 2 activity in 2019.…”

Section: Tree Ring Samplesmentioning

confidence: 99%

“…This, in turn, can lead to notable disparities in the 14 C activities of C3 and C4 biomass [19]. Moreover, in certain regions, the extensive utilization of fossil fuels and human-induced activities may lead to a decrease in the local 14 CO 2 activity compared to the atmospheric background 14 CO 2 activity, and this reduction can result in a decrease in the 14 C activity of biomass within that specific area [20,21]. The aforementioned statement highlights the impact of growth location on the 14 C activity of biomass.…”

Section: Introductionmentioning

confidence: 99%

Improving the Methodology for Determining the Biomass/Coal Co-Combustion Ratio: Predictive Modeling of the 14C Activity of Pure Biomass

Wang,

Luo,

et al. 2024

Energies

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Sampling and 14C detection of biomass are now essential steps to ensure the accuracy of the 14C method, but they require additional time and economic investment. When there are multiple types of biomass fuels, it is not possible to guarantee the uniformity of sampling. The 14C activity of biomass fuels exhibits variability, and this value significantly impacts the precision of the 14C method. Therefore, this study aims to investigate the influencing factors of 14C activity in biomass fuels. It also provides predicted values of 14C activity for different types of biomass fuels for each year from 2020 to 2030. Additionally, this study discusses the potential blending ratio measurement errors that may arise due to the uncertainties of the predicted values. The reduction in the 14C activity of biomass fuels can occur due to the utilization of fossil fuels, human activities, and the photosynthesis mode of C3 plants. This study presents a prediction method for determining the reduction factor. The other component of the prediction methodology involves determining the original 14C activity of biomass fuels. The 14C activity of the annual biomass is equal to the 14CO2 activity (the 14C activity of CO2) of the surrounding environment, and it experiences a decline of 0.355 pMC/year. The 14C activity has ranges of five types of perennial biomass fuels, including wood chips and branches, bark, leaves, wasted furniture, and abandoned building wood, for the time period between 2020 and 2030, are 97.34~102.84, 96.35~106.27, 96.35~102.64, 111.00~118.60, and 111.32~129.47 pMC, respectively. Based on these, this study introduces a new formula for calculating blending ratios, which enhances the current methodology. The calculation errors of blending ratios caused by the uncertainties of the predicted values are generally negligible, with the exception of wasted furniture and construction wood. The annual decrease in the blending ratio calculation error, caused by the uncertainty associated with the predicted value, can be observed. This study aims to reduce the implementation time and economic cost of the 14C method while ensuring the accuracy of biomass blending ratio detection.

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Using radiocarbon of plants to track inequity in urban environments

Heskel,

Hrycyna,

Gomes

et al. 2024

Plants People Planet

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Societal Impact StatementOver half of Earth's human population lives in urban areas where pollution from fossil fuel combustion threatens urban air quality and public health. The isotopic composition of plant tissues can be used as a tool to estimate local variation in the amount of fossil fuel–derived carbon dioxide. We present a case study that examines this variation against the backdrop of historic discriminatory policies in Saint Paul, Minnesota, USA. Data suggest higher loads of atmospheric fossil carbon in neighborhood greenspaces that are situated closer to large roads, which often correspond with historical policies. Evidence of unequal fossil fuel combustion, and potentially pollution load, may precipitate changes in urban management or pollution mitigation strategies.

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14C-AMS measurements in modern tree rings to trace local fossil fuel-derived CO2 in the greater Xi'an area, China

Cited by 17 publications

References 109 publications

Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method

Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method

Improving the Methodology for Determining the Biomass/Coal Co-Combustion Ratio: Predictive Modeling of the 14C Activity of Pure Biomass

Using radiocarbon of plants to track inequity in urban environments

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14C-AMS measurements in modern tree rings to trace local fossil fuel-derived CO2 in the greater Xi'an area, China

Cited by 17 publications

References 109 publications

Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the 14C-Liquid Scintillation Count Method

Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the 14C-Liquid Scintillation Count Method

Improving the Methodology for Determining the Biomass/Coal Co-Combustion Ratio: Predictive Modeling of the 14C Activity of Pure Biomass

Using radiocarbon of plants to track inequity in urban environments

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Product

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Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method

Determination of Biomass-Coal Blending Ratio during Indirect Cocombustion by the ¹⁴C-Liquid Scintillation Count Method