Regional Δ14C patterns and fossil fuel derived CO2 distribution in the Beijing area using annual plants

Xi, XianTing; Ding, Xifeng; Fu, De Liang; Zhou, Liping; Liu, Kexin

doi:10.1007/s11434-011-4453-8

Cited by 26 publications

(18 citation statements)

References 30 publications

(33 reference statements)

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“…If taking the D 14 C value of the Tibetan Plateau as CO 2 background in China, 1 ppm of CO 2 derived from fossil fuels deplete the atmospheric D 14 C by approximately 2.70‰ [13]. Therefore, CO 2 in the atmosphere derived from fossil fuel emissions can be estimated (see Table 1).…”

Section: Resultsmentioning

confidence: 99%

“…It also displays a trend of decreasing D 14 C from the outer suburbs to inner suburbs and then to the urban centre. The mean value is about 0.4‰, corresponding to the D 14 C value in the area between inner and outer suburb without big mountains [13].…”

Section: Introductionmentioning

confidence: 93%

“…In this study we expand our investigations [13] into wider areas across China, including high mountains in the Tibetan Plateau, grassland in Inner Mongolia, and inland and coastal cities. We measured the D 14 C levels of the collected corn leaves, estimated the fossil fuel derived CO 2 concentrations of the local atmosphere and then compared them with human activities in these regions.…”

Section: Introductionmentioning

confidence: 99%

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Δ14C level of annual plants and fossil fuel derived CO2 distribution across different regions of China

Ding

et al. 2013

Nuclear Instruments and Methods in Physics Research Section B:

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Δ14C level of annual plants and fossil fuel derived CO2 distribution across different regions of China

Ding

et al. 2013

Nuclear Instruments and Methods in Physics Research Section B:

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“…The most significant anthropogenic greenhouse gas is CO 2 . The situation is that global CO 2 emissions have increased by about 80% during the period of 1970-2004, mainly as a result of using fossil fuels [1].…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Optimization Model in Automotive Supply Chain Networks

Sadrnia

Ismail

Zulkifli

et al. 2013

Mathematical Problems in Engineering

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In the new decade, green investment decisions are attracting more interest in design supply chains due to the hidden economic benefits and environmental legislative barriers. In this paper, a supply chain network design problem with both economic and environmental concerns is presented. Therefore, a multiobjective optimization model that captures the trade-off between the total logistics cost and CO 2 emissions is proposed. With regard to the complexity of logistic networks, a new multiobjective swarm intelligence algorithm known as a multiobjective Gravitational search algorithm (MOGSA) has been implemented for solving the proposed mathematical model. To evaluate the effectiveness of the model, a comprehensive set of numerical experiments is explained. The results obtained show that the proposed model can be applied as an effective tool in strategic planning for optimizing cost and CO 2 emissions in an environmentally friendly automotive supply chain.

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“…Depletion in atmospheric Δ 14 C due to fossil fuel CO 2 emissions was first noted by Seuss [1955]. Previous studies have also evaluated the 14 C content of plant material as an integrated signal of fossil fuel‐derived CO 2 in Europe [ Palstra et al , 2008], Japan [ Shibata et al 2005], China [ Xi et al , 2011], across the United States [ Hsueh et al , 2007], California [ Riley et al , 2008] and the Los Angeles basin [ Wang and Pataki , 2010]. These studies have demonstrated that the spatial heterogeneity of plant 14 C signatures is based on proximity to fossil fuel combustion sources and atmospheric transport of emissions.…”

Section: Introductionmentioning

confidence: 99%

The radiocarbon composition of tree rings as a tracer of local fossil fuel emissions in the Los Angeles basin: 1980–2008

Djuricin

Pataki

2012

J. Geophys. Res.

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[1] Quantifying local fossil fuel CO 2 emissions in urban areas is challenging due to the heterogeneity in emissions and in atmospheric mixing ratios of CO 2 . Measurements of the radiocarbon content of urban tree rings are an alternative to large networks of CO 2 monitoring stations. In this study, we calculated 3-year averages of CO 2 mixing ratios from fossil fuel combustion from 1980 to 2008 using tree rings sampled at six sites within the Los Angeles basin and adjacent mountains. We observed CO 2 mixing ratios from fossil fuel combustion of up to 23 mmolÁmol À1 in the inland basin and $5-10 mmolÁmol À1 at coastal sites. Although we expected to see increasing trends of fossil fuel-derived CO 2 over time, not all sites showed a significant increase. Analysis of correlations between fossil fuel-derived CO 2 and socioeconomic variables revealed that fossil fuel-derived CO 2 followed trends in census tract and/or city population or in vehicle statistics at most sites. We also calculated CO/CO 2 combustion ratios from tree ring radiocarbon and nearby measurements of atmospheric CO mixing ratios. We observed widespread declines in the combustion ratio that support increases in the efficiency of the automobile fleet over the past few decades. This study demonstrates the utility of tree ring radiocarbon measurements for quantifying temporal and spatial patterns in fossil fuel-derived CO 2 emissions in urban areas.

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Regional Δ14C patterns and fossil fuel derived CO2 distribution in the Beijing area using annual plants

Cited by 26 publications

References 30 publications

Δ14C level of annual plants and fossil fuel derived CO2 distribution across different regions of China

Δ14C level of annual plants and fossil fuel derived CO2 distribution across different regions of China

A Multiobjective Optimization Model in Automotive Supply Chain Networks

The radiocarbon composition of tree rings as a tracer of local fossil fuel emissions in the Los Angeles basin: 1980–2008

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