An emissions inventory using flight information reveals the long-term changes of aviation CO2 emissions in China

The low-carbon development of air transport industry is of great significance for China to achieve the commitment of carbon peak and carbon neutrality goals. In order to improve the basic data of aviation CO2 emissions, this study continuously collected full flight information in China from January 2017 to December 2020, and established a flight information database and an aircraft-engine parameter database. On the basis of IPCC's Tier 3B accounting method, this study established a long-term aviation CO2 emissions inventory of China from 2017 to 2020 by calculating and accumulating CO2 emissions of each flight. And aviation CO2 emissions of various provinces and cities in China were calculated combined with spatial allocation method. The results showed that aviation CO2 emissions in China was 104.1, 120.1, 136.9, and 88.3 Mt in 2017, 2018, 2019, and 2020, respectively, with annual growth rates of 15.4%, 14.0%, and −35.3% in 2018, 2019, and 2020, respectively. Affected by the COVID-19 pandemic, aviation CO2 emissions in all 31 provinces and 93% of cities decreased in 2020 compared with 2019. China is in the stage of rapid development of air transport industry, and aviation fossil energy consumption and CO2 emissions have continued to grow in recent years.

The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level

A large proportion of carbon emissions emitted by human activities is from the household sector. Efforts to control such carbon emissions need a timely accounting. We attempt to establish a rapid accounting China Carbon Watch (CCW) system, through which we use an alternative solution for accounting household carbon emissions in China by applying monthly nighttime light (NTL) data. The compiled carbon emission accounting method is considered as timely with high accuracy by employing a 1-km grid dataset built from point-emission sources. The heterogeneities of carbon emissions in both urban and rural sectors are presented. Furthermore, this research calculates monthly data of urban and rural household carbon emissions at the provincial level from January to May 2020. Results show that the overall household carbon emissions slightly increased during the COVID-19 forced confinement due to the closure of international borders and the confinement of urbanists with significant heterogeneity between provinces.

Professional Identity of Chinese Medical Students During the COVID-19 Pandemic (preprint)

Background: Although professional identity is a strong predictor of career choice, only a few studies report on career attitudes of medical students during a public health emergency. This study investigates the changes in medical students’ professional identity and career attitude during the COVID-19 pandemic, evaluates their mental health and social support system under stress, and explores the relationship between their career attitude and other factors. Method: An online survey of 6226 Chinese medical students was conducted to collect information on demographics, professional identity, and career attitudes. The collected data were assessed using the Patient Health Questionnaire, the Generalized Anxiety Disorder Scale, and the Social Support Rating Scale. Results: The results revealed that most participants had their professional identity strengthened, did not change their career attitude, and preferred to participate in the frontline during the COVID-19 pandemic. Low social support, depressive symptoms, male gender, and senior year residency were factors that affected career attitude negatively. Conclusions: After the outbreak of the pandemic, it was necessary to carry out diversified professional identity research to support medical students, especially those with low social support and depressive symptoms.