Impact of COVID-19 Pandemic Outbreak: CO2 and SO2 Emission Reduction over China

Nsabimana, Abel; Foday, Edward Hingha

doi:10.4236/oalib.1106899

Cited by 4 publications

(4 citation statements)

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“…However, the long-term trend of increasing temperatures in these regions is expected to continue. Before the pandemic, temperatures in China were increasing at a rate of approximately 0.2°C per decade (Nsabimana, 2020). In the United States, temperatures have been increasing at a rate of approximately 0.15°C per decade.…”

Section: Comparison Of Temperature and Co2 Emission Before And After ...mentioning

confidence: 99%

“…As China's population has increased, so has its economic activity, which has led to increased demand for energy and contributed to carbon dioxide emissions. Another reason why China's annual carbon dioxide emissions are highly correlated with population is the economy's reliance on the burning of fossil fuels such as coal, oil, and gas (Nsabimana, 2020). These fossil fuels are China's main source of energy and the main source of its carbon dioxide emissions.…”

Section: Relationship Among Co2 Emission Economics and Climatementioning

confidence: 99%

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The Impacts Of COVID-19 Pandemic on Greenhouse Gas Emissions and Climate Change

Zhang¹

2023

HSET

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The outbreak of COVID-19 in 2020 has brought enormous damage to human life and health and socioeconomic development. Yet, the influence of COVID-19 outbreak on the environment within the context of global warming has not been fully understood. Detailed and accurate explanation for the relationship between COVID-19 and economy, carbon emissions, and methane emissions remains a challenge. This study aims to highlight the significant impact of the COVID-19 pandemic on greenhouse gas emissions and climate change through a systematic literature review and comprehensive analysis of data from the U.S., China, Canada, and 27 European countries. To clarify the impact of COVID-19 on climate, the study outlines changes in carbon dioxide emissions by comparing data from pre-pandemic, during-pandemic, and post-pandemic (projected) scenarios. The correlation among carbon dioxide, temperature, GDP, and Population in countries is further examined with different levels of development using Pearson's Linear Correlation analysis and significance test. This study will potentially provide insights into future preparation and management of the impact of global emergency disaster emergencies.

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Section: Comparison Of Temperature and Co2 Emission Before And After ...mentioning

confidence: 99%

Section: Relationship Among Co2 Emission Economics and Climatementioning

confidence: 99%

The Impacts Of COVID-19 Pandemic on Greenhouse Gas Emissions and Climate Change

Zhang¹

2023

HSET

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“…By implementing quarantine policies and limiting travel, we have greatly reduced our carbon emissions. For example, in China, a significant drop in the density of Nitrogen Dioxide in the air was recorded over the same period between January and February 2020 [35,39,36,6], as seen in Figure 9. Improved air quality is due to reduced mobility during the lockdown.…”

Section: Environmental Impact and Mobilitymentioning

confidence: 99%

Multi-scale simulation of COVID-19 epidemics

Benoit¹,

Adam²,

Duby³

2021

Preprint

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Over a year after the start of the COVID-19 epidemics, we are still facing the virus and it is hard to correctly predict its future spread over weeks to come, as well as the impacts of potential political interventions. Current epidemic models mainly fall in two approaches: compartmental models divide the population in epidemiological classes and rely on the mathematical resolution of differential equations to give a macroscopic view of the epidemical dynamics, allowing to evaluate its spread a posteriori; agent-based models are computer models that give a microscopic view of the situation, since each human is modelled as one autonomous agent, allowing to study the epidemical dynamics in relation to (heterogeneous) individual behaviours. In this work, we compared both methodologies and combined them to try and take advantage of the benefits of each, and to overcome their limits. In particular, agent-based simulation can be used to refine the values of the parameters of a compartmental model, or to predict how these values evolve depending on sanitary policies applied. In this report we discuss the conditions of such a combination of approaches, and future improvements. * This work has been published and presented at the international GAMA days held in June 2021 [18].† This internship and report have been validated for completion of the ENSIMAG engineering degree in 2021.

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“…The concentrations of CO, SO 2 , O 3 , PM 10 , and AQI indices all decreased significantly during the lockdown period, but all air pollutants rebounded after the lockdown ended ( Taoa et al, 2021 ). Nsabimana and Foday Jr (2020) believed that the decrease in coal consumption in China during the 63-day lockdown period after the Spring Festival resulted in 3458.175 tons of SO 2 and 1745.33 tons of CO 2 not being emitted into the atmosphere. The mandatory suspension of social activities inevitably had an impact on air quality and could lead to sudden changes in CO 2 and air pollutant emissions.…”

Section: Introductionmentioning

confidence: 99%