CO2 and climatic change: An overview of the science

Smith, Irene M.

doi:10.1016/0196-8904(93)90014-2

Cited by 10 publications

(2 citation statements)

References 8 publications

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“…This decrease is consistent with the estimated decline in CO2 emissions that has also been observed by Le Quéré et al (2020). Our results show that even with the intense cutback of human activities and emissions, background CO2 concentrations will continue to rise due to the long-lived characteristics of CO2 that remain in the atmosphere for about 120 years (Smith, 1993). However, the marked decline in urban enhancements of CO2 concentrations from social distancing emphasizes the potential of urban areas impacting and reducing local contributions of CO2 in the atmosphere with the decrease of emissions.…”

Section: Accepted Manuscriptsupporting

confidence: 89%

Lessons from COVID-19 and Seoul: Effects of Reduced Human Activity from Social Distancing on Urban CO2 Concentration and Air Quality

Park

Jeong

Koo

et al. 2021

Aerosol Air Qual. Res.

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Social restriction in cities to curb infection rates of COVID-19 has become an opportunity to investigate the relationship between humans and the urban atmosphere. We evaluate the impact of the decline in human activities as a result of social distancing on the urban CO2 concentrations and air quality in Seoul during February and March of 2020 compared to 2019. Due to the reduction in human activity in 2020, local measurements of CO and NO2 show a decrease in background concentration (up to 11.9% and 41.7%, respectively) and urban enhancement (up to 16.7% and 38.1%, respectively) compared to the previous year. In contrast, the background concentration of CO2 increases by 3.9% in 2020. Ratios of CO:CO2 and NO2:CO2 also show a decrease in 2020 compared to the previous year, signaling an improvement in the urban air quality of Seoul. Moreover, the insignificant change in wind speed and wind direction during the months of February and March 2020 compared to 2019 implies that CO2, CO, and NO2 concentrations have not been influenced by meteorological conditions, but mainly by changes in emissions from decreased human activity. Despite the rise in background CO2 concentration, urban contributions of CO2 show a decline of 12.6%, indicating that cities with high emissions have the potential to reduce urban CO2 enhancements and air pollutant concentrations, and ultimately impact the global atmosphere.

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Section: Accepted Manuscriptsupporting

confidence: 89%

Lessons from COVID-19 and Seoul: Effects of Reduced Human Activity from Social Distancing on Urban CO2 Concentration and Air Quality

Park

Jeong

Koo

et al. 2021

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…With the development of the global economy and the increasing demand for energy, the use of fossil fuel, the world's main energy source, has been increasing yearly [1]. High growth of fossil fuel consumption has led to large amounts of carbon dioxide (CO 2 ) emissions, which has resulted in a severe 'greenhouse effect' [2]. At present, more than 120 countries have proposed carbon neutrality commitments [3], and China has also announced that it will peak carbon emissions in 2030 and achieve carbon neutrality by 2060 [4].…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Micro-Scale Model to Estimate the CO2 Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

et al. 2022

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On-road carbon dioxide (CO2) emissions from light-duty diesel trucks (LDDTs) are greatly affected by driving conditions, which may be better predicted with the sequence deep learning model as compared to traditional models. In this study, two typical LDDTs were selected to investigate the on-road CO2 emission characteristics with a portable emission measurement system (PEMS) and a global position system (GPS). A deep learning-based LDDT CO2 emission model (DL-DTCEM) was developed based on the long short-term memory network (LSTM) and trained by the measured data with the PEMS. Results show that the vehicle speed, acceleration, VSP, and road slope had obvious impacts on the transient CO2 emission rates. There was a rough positive correlation between the vehicle speed, road slope, and CO2 emission rates. The CO2 emission rate increased significantly when the speed was >5 m/s, especially at high acceleration. The correlation coefficient (R2) and the root mean square error (RMSE) between the monitored CO2 emissions with PEMS and the predicted values with the DL-DTCEM were 0.986–0.990 and 0.165–0.167, respectively. The results proved that the model proposed in this study can predict very well the on-road CO2 emissions from LDDTs.

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Mitigation of CO2 greenhouse effect. Combined disposal and utilisation by photocatalysis

Malati¹

1996

Energy Conversion and Management

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CO2 and climatic change: An overview of the science

Cited by 10 publications

References 8 publications

Lessons from COVID-19 and Seoul: Effects of Reduced Human Activity from Social Distancing on Urban CO2 Concentration and Air Quality

Lessons from COVID-19 and Seoul: Effects of Reduced Human Activity from Social Distancing on Urban CO2 Concentration and Air Quality

A Deep Learning Micro-Scale Model to Estimate the CO2 Emissions from Light-Duty Diesel Trucks Based on Real-World Driving

Mitigation of CO2 greenhouse effect. Combined disposal and utilisation by photocatalysis

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