Unbalanced emission reductions of different species and sectors in China during COVID-19 lockdown derived by multi-species surface observation assimilation

The unprecedented lockdown of human activities during the COVID-19 pandemic has significantly influenced social life in China. However, understanding the impact of this unique event on the emissions of different species is still insufficient, prohibiting the proper assessment of the environmental impacts of COVID-19 restrictions. Here we developed a multi-air-pollutant inversion system to simultaneously estimate the emissions of NOx, SO2, CO, PM2.5 and PM10 in China during COVID-19 restrictions with high temporal (daily) and horizontal (15 km) resolutions. Subsequently, contributions of emission changes versus meteorological variations during the COVID-19 lockdown were separated and quantified. The results demonstrated that the inversion system effectively reproduced the actual emission variations in multi-air pollutants in China during different periods of COVID-19 lockdown, which indicate that the lockdown is largely a nationwide road traffic control measure with NOx emissions decreasing substantially by ∼40 %. However, emissions of other air pollutants were found to only decrease by∼10% because power generation and heavy industrial processes were not halted during lockdown, and residential activities may actually have increased due to the stay-at-home orders. Consequently, although obvious reductions of PM2.5 concentrations occurred over the North China Plain (NCP) during the lockdown period, the emission change only accounted for 8.6 % of PM2.5 reductions and even led to substantial increases in O3. The meteorological variation instead dominated the changes in PM2.5 concentrations over the NCP, which contributed 90 % of the PM2.5 reductions over most parts of the NCP region. Meanwhile, our results suggest that the local stagnant meteorological conditions, together with inefficient reductions of PM2.5 emissions, were the main drivers of the unexpected PM2.5 pollution in Beijing during the lockdown period. These results highlighted that traffic control as a separate pollution control measure has limited effects on the coordinated control of O3 and PM2.5 concentrations under current complex air pollution conditions in China. More comprehensive and balanced regulations for multiple precursors from different sectors are required to address O3 and PM2.5 pollution in China.

Quantification of oil and gas methane emissions in the Delaware and Marcellus basins using a network of continuous tower-based measurements

According to the United States Environmental Protection Agency (US EPA), emissions from oil and gas infrastructure contribute 30 % of all anthropogenic methane (CH4) emissions in the US. Studies in the last decade have shown emissions from this sector to be substantially larger than bottom-up assessments, including the EPA inventory, highlighting both the increased importance of methane emissions from the oil and gas sector in terms of their overall climatological impact and the need for independent monitoring of these emissions. In this study we present continuous monitoring of regional methane emissions from two oil and gas basins using tower-based observing networks. Continuous methane measurements were taken at four tower sites in the northeastern Marcellus basin from May 2015 through December 2016 and five tower sites in the Delaware basin in the western Permian from March 2020 through April 2022. These measurements, an atmospheric transport model, and prior emission fields are combined using an atmospheric inversion to estimate monthly methane emissions in the two regions. This study finds the mean overall emission rate from the Delaware basin during the measurement period to be 146–210 Mg CH4 h-1 (energy-normalized loss rate of 1.1 %–1.5 %, gas-normalized rate of 2.5 %–3.5 %). Strong temporal variability in the emissions was present, with the lowest emission rates occurring during the onset of the COVID-19 pandemic. Additionally, a synthetic model–data experiment performed using the Delaware tower network shows that the presence of intermittent sources is not a significant source of uncertainty in monthly quantification of the mean emission rate. In the Marcellus, this study finds the overall mean emission rate to be 19–28 Mg CH4 h-1 (gas-normalized loss rate of 0.30 %–0.45 %), with relative consistency in the emission rate over time. These totals align with aircraft top-down estimates from the same time periods. In both basins, the tower network was able to constrain monthly flux estimates within ±20 % uncertainty in the Delaware and ±24 % uncertainty in the Marcellus. The results from this study demonstrate the ability to monitor emissions continuously and detect changes in the emissions field, even in a basin with relatively low emissions and complex background conditions.

Two years of volatile organic compound online in situ measurements at the Site Instrumental de Recherche par Télédétection Atmosphérique (Paris region, France) using proton-transfer-reaction mass spectrometry

Volatile organic compounds (VOCs) have direct influences on air quality and climate. They indeed play a key role in atmospheric chemistry as precursors of secondary pollutants, such as ozone (O3) and secondary organic aerosols (SOA). In this respect, long-term datasets of in situ atmospheric measurements are crucial for characterizing the variability of atmospheric chemical composition, its sources, and trends. The ongoing establishment of the Aerosols, Cloud, and Trace gases Research InfraStructure (ACTRIS) allows implementation of the collection and provision of such high-quality datasets. In this context, online and continuous measurements of O3, nitrogen oxides (NOx), and aerosols have been carried out since 2012 at the SIRTA (Site Instrumental de Recherche par Télédétection Atmosphérique) observatory, located in the Paris region, France. Within the last decade, VOC measurements were conducted offline at SIRTA, until the implementation of real-time monitoring which started in January 2020 using a proton-transfer-reaction quadrupole mass spectrometer (PTR-Q-MS).The dataset acquired during the first 2 years of online VOC measurements provides insights into their seasonal and diurnal variabilities. The additional long-term datasets obtained from co-located measurements (NOx, aerosol physical and chemical properties, meteorological parameters) are used to better characterize the atmospheric conditions and to further interpret the obtained results. Results also include insights into VOC main sources and the influence of meteorological conditions and air mass origin on their levels in the Paris region. Due to the COVID-19 pandemic, the year 2020 notably saw a quasi-total lockdown in France in spring and a lighter one in autumn. Therefore, the focus is placed on the impact of these lockdowns on the VOC variability and sources. A change in the behaviour of VOC markers for anthropogenic sources was observed during the first lockdown, reflecting a change in human activities. A comparison with gas chromatography data from the Paris city centre consolidates the regional representativity of the SIRTA station for benzene, while differences are observed for shorter-lived compounds with a notable impact of their local sources. This dataset could be further used as input for atmospheric models and can be found at 10.14768/f8c46735-e6c3-45e2-8f6f-26c6d67c4723 (Simon et al., 2022a).

INVESTIGATION OF COVID-19 IMPACT ON AEROSOL OPTICAL DEPTH OVER MALAYSIA AND INDONESIA

Lockdown or movement control order (MCO) was implemented all over the world, including Malaysia and Indonesia, during the coronavirus disease 2019 (COVID-19) pandemic. During the lockdown period, human activities were restricted. The restriction led to the reduction of human-made particulate matter released to the atmosphere. One of the indicators that could be used to estimate the concentration of particulate matter in the atmosphere is aerosol optical depth (AOD). The aim of this study is to investigate the variation in AOD level over the Malaysia and Indonesia region during this restriction period. This study has utilized monthly and daily Moderate Resolution Imaging Spectroradiometer (MODIS) Terra AOD product that can be accessed through National Aeronautics and Space Administration (NASA)'s Geospatial Interactive Online Visualization and Analysis Infrastructure (GIOVANNI) system. The developed long-term time-averaged map showed a high AOD level over Sumatera and South Kalimantan, with the maximum value being 0.4. The comparison among during, pre- and post-lockdown periods showed a reduction in the AOD level. The maximum AOD level decreased to 0.3 during the lockdown period compared to 0.4 in the pre- (2019) and post-lockdown periods (2021 and 2022). Average monthly time series showed no spike in the AOD level in 2020 and 2021. Hovmöller diagram showed low AOD throughout the latitude and longitude during lockdown compared to the pre- and post-lockdown periods. Analyses of the yearly AOD level showed reduction in the AOD level from +11.31% in 2019 to -18.17% and -18.01% in 2020 and 2021, respectively. The result also showed that the average daily AOD percentage during the lockdown period in 2020 had decreased to -5.34% from -3.18% in 2019 and had increased to +1.26 in 2021.

Preface

Climate change has led to the increase of heat exposure or natural hazard due to extreme weather. This anthropological climate change phenomenon has negatively altered the most fundamental natural resources for living organism: air, water, and soil. Air has been polluted and warming due to human activities. The quantity of freshwater keeps on depleting, while the ground water recharge intervened with chemical and biological contamination. The sustainability of soil as the natural planting media is under threat due to land use conversion and soil quality degradation. Water acidification and temperature increase have been proved to change the salinity of seawater. Those are the impact of the increasing greenhouse gas emission in the earth's atmosphere.The 8th International Conference on Climate Change (ICCC) aims to accommodate and to discuss the regional findings related the adaptation and mitigation strategies on climate change worldwide. The meaning to hold ICCC is getting more and more important. This conference can alert the creeping disaster. The contribution of all the participants, distinguished guests to this conference would make our world better and progress our scientific knowledge. Sharing the insight into the recent research and the cutting-edge technologies should enhance our ability and it might give us the breakthrough ideas on our sustainability under climate change. ICCC would be fruitful for every participant and be a great chance to approach the scientific solution for our common goals.Faculty of Agriculture of Sebelas Maret University, Surakarta, Indonesia is very proud to organize the 8th International Conference on Climate Change (ICCC). International Conference on Climate Change has been playing a significant contribution to formulate the strategies to cope with the emerged problems due to the climate change, as well as to support the sustainable development goal achievement. Sebelas Maret University has been seriously taking part to minimize the climate change impact, by promoting environment-friend programs, such as the green campus program and prohibiting the motor-vehicle to enter the campus every month. Sebelas Maret University also realizes that the responsibility of maintaining this earth should be by everyone. Each of us plays a significant contribution to minimize the global warming of this earth. That is why Faculty of Agriculture of Sebelas Maret University organize such events to discuss the findings related the earth-protection.We hope this conference will resulting into valuable recommendations in focusing and improving the natural resources management as well as improving the human's living efficiency to bring the greenhouse gas emission down. We need to produce alternative technologies as the climatic resilience strategies to overcome the key climate-change sensitive pathways, as well as to support the achievements some global goals in the Sustainable Development Goals (SDG). Accordingly, the topic of the 8th ICCC is "Environmental Management towards Sustainable Development Goals (SDGs) under the Changing Climate”.The 8th ICCC was organized by Faculty of Agriculture, Sebelas Maret University, Indonesia, in collaboration with Asian Institute of Technology, Thailand and The United Graduate School of Agricultural Sciences, Gifu University, Japan. The 8th ICCC was held at The Asian Institute of Technology Conference Center, Thailand from 17-18 November 2022. The 8th ICCC was conducted in the Hybrid method because travel restrictions are still enforced by some countries to prevent the spread of Covid-19. Besides, providing options for attending the 8th ICCC virtually is more comfortable for participants and presenters with limitedness of budgets.The 8th ICCC 2022 delivers great appreciation to Prof. Dr. Samanhudi, Dean of Faculty of Agriculture, Sebelas Maret University, Indonesia;Professor Dr. Shobhakar Dhakal, Vice President for Academic Affairs, Asian Institute of Technology, Thailand;and Prof. Dr. Ken Hiramatsu, Dean of United Graduate School of Agricultural Science, ifu University, Japan;for formal support to the conference.Gratitude presented to the invited speakers: Prof. Dr. Avishek Datta from Head of Department of Food, Agriculture, and Bioresources, Asian Institute of Technology, Thailand;Prof. Dr. Eric van Hullenbusch from Institut de Physique du Globe de Paris, France;Dr. Taku M. Saitoh from Gifu University, Japan;Dr. Jauhari Syamsiyah from Sebelas Maret University, Indonesia;and Dr. James MacGregor from Eco-Plannet, Canada.List of Committee of the 8th ICCC 202 is available in this Pdf.

Impact of Anthropogenic Emission Reduction during COVID-19 on Air Quality in Nanjing, China

To avoid the spread of COVID-19, China has implemented strict lockdown policies and control measures, resulting in a dramatic decrease in air pollution and improved air quality. In this study, the air quality model WRF-Chem and the latest MEIC2019 and MEIC2020 anthropogenic emission inventories were used to simulate the air quality during the COVID-19 lockdown in 2020 and the same period in 2019. By designing different emission scenarios, this study explored the impact of the COVID-19 lockdown on the concentration of air pollutants emitted by different sectors (industrial sector and transportation sector) in Nanjing for the first time. The results indicate that influenced by the COVID-19 lockdown policies, compared with the same period in 2019, the concentrations of PM2.5, PM10, and NO2 in Nanjing decreased by 15%, 17.1%, and 20.3%, respectively, while the concentration of O3 increased by 45.1% in comparison;the concentrations of PM2.5, PM10 and NO2 emitted by industrial sector decreased by 30.7%, 30.8% and 14.0% respectively;the concentrations of PM2.5, PM10 and NO2 emitted by transportation sector decreased by 15.6%, 15.7% and 26.2% respectively. The COVID-19 lockdown has a greater impact on the concentrations of PM2.5 and PM10 emitted by the industrial sector, while the impact on air pollutants emitted by the transportation sector is more reflected in the concentration of NO2. This study provides some theoretical basis for the treatment of air pollutants in different departments in Nanjing.

The Impact of COVID-19 on the Academic Performance of Students: A Psychosocial Study Using Association and Regression Model

The novel coronavirus (COVID-19) has affected every sector of human activities. The outbreak has not only resulted in the risk of death from infection but has greatly affected the education system globally. While universities around the world have adapted to academic changes because of this pandemic, some other universities such as in Nigeria seem to be far behind. Therefore, this study aims to understand the impact of COVID-19 on students in higher institutions in Nigeria. The study utilizes an interactive survey design to get responses from 1533 respondents who are students of tertiary institutions. Two sampling techniques, namely snow-balling and purposive, are used to administer the questionnaire. The participants are representative samples from across the 6 geo-political zones of Nigeria. The results from the descriptive analysis reveals that 11.6% of the respondents have been able to continue school online and 41.4% have a level of doubt about the ability of their school can adapt to the learning mode occurring globally. Inferential analysis was carried out to understand the association and regression between variables. Results from Chi-Square Test of association show that students from public universities are economically more affected than those from private universities (P-value < .005). The ordinal logistic model considered multiple independent variables. Results from the logistic model showed that the future effect of COVID-19 on career/academic progression of students hold, irrespective of discipline or degree of study or university category or level/year of study. Furthermore, 30% of the students, regardless of their discipline, degree of study, or university category expressed extreme or moderate hopelessness about their academic future concerning the pandemic. The study has shown that the pandemic did not only lead to physical, technological, and economical challenges to education for Nigerian students, but also psychosocial challenges (such as hopelessness and high level of distrust for the existing educational systems) that may affect the way student engage and commit to their education in the post-pandemic world. This provides educational stakeholders including policy makers the adequate data needed to understand how exactly students have been affected and supportive measure to implement as tertiary institutions reopen for learning.

Relationship between Lightning, Lightning Fire and Human Activities

Lightning is the main source of natural fire, and lightning fire and other types of forest fires together constitute the global forest fire system. It is generally believed that lightning fire, as a natural fire source, has nothing to do with human beings and is different from man-made fire sources, but in fact, human activities have inextricable links with the occurrence of lightning fire. Since 2019, due to the severe impact of COVID-19 lockdowns, non-essential activities and mobility have decreased, which has led to a significant decrease in pollutant concentrations and lightning. In this paper, we linked the lightning fire with modernization process of human beings, the expansion of habitation, the change of underlying surface, the development of prediction technology and firefighting technology, and the laws and regulations of the country, to explore the impact of human activities on the occurrences of lightning and the forest lightning fire. Lightning is the fire source of the three elements in lightning fire occurrence, the lightning that can cause lightning fire is mainly cloud-to-ground lightning. The human activities in recent decades have profoundly affected the content of aerosols in environment. Aerosols are the main factors affecting lightning, and the large amount of pollution aerosols emitted from urban areas, soot aerosols emitted from biomass combustion and urban heat island effect have all increased the probability of lightning occurrence. The average annual ground lightning density of different land cover types is obviously different, and the construction land has the highest average annual ground lightning density. Intense lightning in forest areas has a higher density and slope. Most of the forests are located in high altitude areas, which is consistent with previous studies showing high lightning frequency in high altitude areas. The lightning in forests is intenser, steeper and more destructive, so forest areas are prone to lightning strikes. Lightning has the characteristic of selective discharge, that is, it will discharge into some special areas, which are also known as lightning selection areas, such as the place groundwater is exposed to the ground, where different conductive soils are connected, and where there are underground metal mines, such as copper and iron mines, and underground lake and water reservoir areas. Lightning strikes are caused by changes in soil conductivity caused by human activities such as mining waste rock sites, reservoir construction on mountain tops, and power transmission lines in mountainous areas. At the same time, due to the abundant trees in the mountainous area, it is also important to avoid the resulting lightning fire. With the development of lightning monitoring technology, a lightning location monitoring system has been established in some areas of China. Especially in 2021, the National Forestry and Grassland Administration launched the "Enlisting and Leading" emergency science and technology project of forest lightning fire prevention and control, and the project team has constructed a lightning fire sensing system in the Daxing'anling region with three-dimensional lightning full-wave detection network as the main body, covering the forest area of the Daxing'anling forest region, which can accurately locate the location of cloud-to-ground lightning in real time, improve the monitoring and warning ability of lightning fires, and improve the efficiency of lightning fire discovery. National laws and regulations indirectly affect lightning fires by affecting forest cover and climate change. This paper is expected to provide reference for the occurrence, prevention and control of forest lightning fire in the future, and provide a basis for the formulation of corresponding policies.

Challenge of Supplying Power with Renewable Energy Due to the Impact of COVID-19 on Power Demands in the Lao PDR: Analysis Using Metaheuristic Optimization

Human activities have been limited by coronavirus disease 2019 (COVID-19), and the normal conditions of our lifestyles have changed, particularly in terms of electricity usage. The aim of this study was to investigate the impact of COVID-19 on the power sector in the Lao PDR in 2020, as well as the challenge of using solar energy to supply power to the network using an optimal approach. The returns on investment of network extension and the purchase of solar energy were also evaluated. Furthermore, load conditions caused by the country's lockdown policy were analyzed. We analyzed the optimal sizing and location of solar energy using a particle swarm optimization method based on the main objective functions, with the system's power loss decreasing and its reliability improved. The results demonstrated that the suddenly reduced load from industry and commercial business did not have a large impact on its operations;however, revenue was reduced. The optimal method for connecting solar energy to a network can reduce power loss and improve system reliability. In addition, we discovered that the location and capacity of solar generation can reduce the investment costs of extensions for new lines, with the surplus power being exported.

China's Largest City-Wide Lockdown: How Extensively Did Shanghai COVID-19 Affect Intensity of Human Activities in the Yangtze River Delta?

COVID-19 has been the most widespread and far-reaching public health emergency since the beginning of the 21st century. The Chinese COVID-19 lockdown has been the most comprehensive and strict in the world. Based on the Shanghai COVID-19 outbreak in 2022, we analyzed the heterogeneous impact of the COVID-19 lockdown on human activities and urban economy using monthly nighttime light data. We found that the impact of lockdown on human activities in the Yangtze River Delta is very obvious. The number of counties in Shanghai, Jiangsu, Zhejiang and Anhui showing a downward trend of MNLR (Mean of Nighttime Light Radiation) is 100%, 97%, 99% and 85%, respectively. Before the outbreak of COVID-19, the proportion of counties with a downward trend of MNLR was 19%, 67%, 22% and 33%, respectively. Although the MNLR of some counties also decreased in 2019, the scope and intensity was far less than 2022. Under regular containment (2020 and 2021), MNLR in the Yangtze River Delta also showed a significant increase (MNLR change > 0). According to NLRI (Nighttime Light Radiation Influence), the Shanghai lockdown has significantly affected the surrounding provinces (Average NLRI < 0). Jiangsu is the most affected province other than Shanghai. At the same time, Chengdu-Chongqing, Guangdong–Hong Kong–Macao and the Triangle of Central China have no obvious linkage effect.

Research on the emission reduction effects of carbon trading mechanism on power industry: plant-level evidence from China

PurposeCarbon trading mechanism has been adopted to foster the green transformation of the economy on a global scale, but its effectiveness for the power industry remains controversial. Given that energy-related greenhouse gas emissions account for most of all anthropogenic emissions, this paper aims to evaluate the effectiveness of this trading mechanism at the plant level to support relevant decision-making and mechanism design.Design/methodology/approachThis paper constructs a novel spatiotemporal data set by matching satellite-based high-resolution (1 × 1 km) CO2 and PM2.5 emission data with accurate geolocation of power plants. It then applies a difference-in-differences model to analyse the impact of carbon trading mechanism on emission reduction for the power industry in China from 2007 to 2016.FindingsResults suggest that the carbon trading mechanism induces 2.7% of CO2 emission reduction and 6.7% of PM2.5 emission reduction in power plants in pilot areas on average. However, the reduction effect is significant only in coal-fired power plants but not in gas-fired power plants. Besides, the reduction effect is significant for power plants operated with different technologies and is more pronounced for those with outdated production technology, indicating the strong potential for green development of backward power plants. The reduction effect is also more intense for power plants without affiliation relationships than those affiliated with particular manufacturers.Originality/valueThis paper identifies the causal relationship between the carbon trading mechanism and emission reduction in the power industry by providing an innovative methodology for identifying plant-level emissions based on high-resolution satellite data, which has been practically absent in previous studies. It serves as a reference for stakeholders involved in detailed policy formulation and execution, including policymakers, power plant managers and green investors.

Updating and Evaluating Anthropogenic Emissions for NOAA's Global Ensemble Forecast Systems for Aerosols (GEFS-Aerosols): Application of an SO2 Bias-Scaling Method

We updated the anthropogenic emissions inventory in NOAA's operational Global Ensemble Forecast for Aerosols (GEFS-Aerosols) to improve the model's prediction of aerosol optical depth (AOD). We used a methodology to quickly update the pivotal global anthropogenic sulfur dioxide (SO2) emissions using a speciated AOD bias-scaling method. The AOD bias-scaling method is based on the latest model predictions compared to NASA's Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA2). The model bias was subsequently applied to the CEDS 2019 SO2 emissions for adjustment. The monthly mean GEFS-Aerosols AOD predictions were evaluated against a suite of satellite observations (e.g., MISR, VIIRS, and MODIS), ground-based AERONET observations, and the International Cooperative for Aerosol Prediction (ICAP) ensemble results. The results show that transitioning from CEDS 2014 to CEDS 2019 emissions data led to a significant improvement in the operational GEFS-Aerosols model performance, and applying the bias-scaled SO2 emissions could further improve global AOD distributions. The biases of the simulated AODs against the observed AODs varied with observation type and seasons by a factor of 3~13 and 2~10, respectively. The global AOD distributions showed that the differences in the simulations against ICAP, MISR, VIIRS, and MODIS were the largest in March–May (MAM) and the smallest in December–February (DJF). When evaluating against the ground-truth AERONET data, the bias-scaling methods improved the global seasonal correlation (r), Index of Agreement (IOA), and mean biases, except for the MAM season, when the negative regional biases were exacerbated compared to the positive regional biases. The effect of bias-scaling had the most beneficial impact on model performance in the regions dominated by anthropogenic emissions, such as East Asia. However, it showed less improvement in other areas impacted by the greater relative transport of natural emissions sources, such as India. The accuracies of the reference observation or assimilation data for the adjusted inputs and the model physics for outputs, and the selection of regions with less seasonal emissions of natural aerosols determine the success of the bias-scaling methods. A companion study on emission scaling of anthropogenic absorbing aerosols needs further improved aerosol prediction.

Positive Matrix Factorization as Source Apportionment of Paddy Soil Heavy Metals in Black Shale Areas in Western Zhejiang Province, China

The source apportionment of pollutants is the key to preventing and controlling the pollution caused by heavy metals in soils. The aim of this study was to investigate the main sources of heavy metals in the soils of black shale areas in western Zhejiang, China. Based on geostatistical spatial analysis, this research employed positive matrix factorization (PMF) for the source apportionment of heavy metals in paddy soil. The results showed that contaminated arable soils were concentrated in the western and southern study areas. At least five major sources of heavy metals were screened in this study: natural sources (39.66%), traffic emissions (32.85%), industrial emissions (9.23%), agricultural activities (9.17%), and mining (9.10%). To be specific, Cd was mainly from mining;As originated from agricultural inputs such as fertilizers and pesticides;and Hg, as an industrial pollutant, was transported by atmospheric deposition in the study area. The accumulation of Pb, Zn, and Cu was mainly influenced by natural sources and anthropogenic sources, i.e., traffic emissions, while that of Cr and Ni was controlled by natural sources.

Global warming in the minds of Mexican higher education students: an exploratory study

Purpose>The Sustainable Development Goal (SDG) 13 is at the core of many sustainability initiatives on Mexican higher education institutions (HEIs). Yet, progress to SDG 13 and the entire 2030 Agenda might today appear unlikely to meet. To change this situation, it is necessary to form professionals aware of the impacts of climate change and competent to respond efficiently to its adaptation and mitigation. In this context, the purpose of this study is to reveal the beliefs and concerns about global warming of Mexican students enrolled in engineering bachelor's degrees at higher education institutes that promote sustainability.Design/methodology/approach>In an exploratory study, engineering university students at six large public universities in Mexico answered questions regarding their beliefs and concerns regarding climate change. The study was carried out by using the Global Warming's Six Americas survey questionnaire. The questionnaire was developed by a research team from the Yale Program on Climate Change Communication at Yale University to identify different audiences within the American public regarding climate change. Participants were recruited via convenience/snowball techniques which provided access to a diverse sample. Those who agreed to partake in the study were directed to an online platform via Google forms. Data were collected from January to April 2021. Coding and data treatment was conducted according to the developers' codebook and SPSS scripts. After running the statistical program scripts to determine the respondents' segment, a univariate descriptive analysis was performed for each item in the questionnaire to describe general properties in each variable. Subsequently, a series of correspondence analyses was conducted to examine the existence of clusters or patterns that could indicate relationships among selected questions.Findings>The findings of this study revealed that the majority of the Mexican engineering higher education students participating in the survey fell in the segment of alarmed, 47.3%, or the segment of concerned, 46.%. Furthermore, 78.6% of higher education students in the alarmed segment were extremely sure that global warming is happening. In addition, 98% believed that it is caused mostly by human activities. Furthermore, 89% stated that global warming would harm them personally significantly and 96% thought that future generations would be harmed considerably. About 78% believed that people in Mexico and the USA are currently being harmed by global warming. On the other hand, about 45% of students in the concerned group noted they were extremely sure. In addition, 96% of them thought that global warming is being produced mostly by anthropogenic activities. Furthermore, 39% said global warming will harm them personally to a great deal. However, nearly 80% noted that global warming would also hurt future generations. Although those students in the alarmed and concerned group show similar beliefs and concerns about global warming, the magnitude of concern was more significant for those in the alarmed segment.Research limitations/implications>There are several limitations to the study. First, the online questionnaire did not allow for clarification or follow-up on behalf of the respondents. Therefore, it could be possible that respondents misunderstood some items. However, the research team took the following measures to limit confusion: (1) The questionnaire had been previously used in several studies. None of these studies reported problems related to confusion, so the research team took this fact as evidence of the acceptable reliability of the questionnaire. (2) A face-to-face pilot test was carried out with 30 university students where no problems of comprehension were reported. (3) The target population had adequate prior knowledge of climate change, so the possibility of misunderstandings was likely low. A second limitation relates to the nature of the study. Fighting to mitigate the global climate crisis is a positive social norm. Respondents may have provided answ rs in line with this social norm and presented themselves as more pro-environmental than they actually are. Second, because of our selection criteria, our data may overestimate the general public's "worldviews” on climate change. Finally, this study was carried on during the COVID-19 pandemic, which could have impacted items' responses. These limitations constitute future opportunities for future research. Specifically, future research might ideally use a large-scale comprehensive study evaluating the broader Mexican public's beliefs and views about climate change. Furthermore, because our data showed that our respondents were very concerned about climate change, but did little in terms of behavioral mitigation, future research should continue to examine and explore differences in various measures of climate friendly behaviors among different segments of the population.Practical implications>This study's findings have at least twofold implications for university authorities and sustainability practitioners in their pursuit of meeting SDG 13. The first implication is related to academic life. Undoubtedly, having a high percentage of students believing in global warming and mainly that this phenomenon is by anthropogenic activities is a strong indication of their knowledge. But, indirectly, these results validate the sustainability teaching and research efforts in their HEIs, implying the commitment to sustaining and improving the quality of their sustainability-educational initiatives in all institutional areas. The second implication of our findings is related to HEIs' future commitments to address the target of SDG 13 during the present Decade of Actions. Results also lead us to reflect on the role of Mexican HEIs as agents of change, beyond offering good instruction on climate science as an agent of socialization to encourage positive mitigation and adaptation behaviors among the general population.Social implications>The social implication behind the environmental values of younger people found in this study is that a deeper understanding of these millennials' beliefs and concerns toward global warming will help Mexican policymakers implement policies in this regard and hopefully will be endorsed by a significant proportion of the Mexican population.Originality/value>The originality of this study is the application of the Global Warming's Six Americas survey questionnaire in higher education settings. Therefore, the knowledge generated determines the quality of the article. As findings in this study revealed, there is apparently little disagreement among the Mexican engineering higher education students about the belief of the existence of global warming and this phenomenon is being caused mainly by human-related activities. Nevertheless, a minority of students still believe that global warming is caused naturally or not occurring. However, it is not possible to claim victory, as these achievements should not be considered, in any way, a guarantee that students will carry out behaviors in their daily lives that impact a reduction in global warming. Nevertheless, the study provides insights to allow university authorities to ensure that the current beliefs and concerns will not fade in the post-pandemic times. Thus, the COVID-19 pandemic should be taken a pivotal era toward the goal of increasing the global average temperature to well below 2°C above pre-industrial levels and pursuing efforts to limit the temperature increase to 1.5°C above pre-industrial levels.

How to be prepared for the future

The chapter "Disease by Decision – human-induced threats to biosafety and biosecurity” starts with the 2001 anthrax attack in the USA, which was the event that led to the Fink Report, and a range of prescient interventions, including the creation of the National Science Advisory Board for Biosecurity, a committee that later considered gain-of-function (GOF) controversies. The risk of a lab accident is discussed, but Gostin concludes that an incident with global catastrophic impact has not yet occurred, thus dismissing the hypothesis that SARS-CoV-2 originated from a laboratory leak. Because of the anthrax attack in 2001, the USA have been the most advanced country in considering biosecurity risks. Gostin provides a very comprehensive plan for health system strengthening, financing, research and development, governance, equitable access to pharmaceuticals, and global cooperation.

The Digital Economy in the Context of Digital Transformation and Their Impact on the Electronification of Accounting Processes in the Slovak Republic

As a result of the explosive growth of scientific knowledge and the rapid development of ICT, the world economy is undergoing crucial global changes, which are the most significant since the industrial revolution. Digitization represents the most important element of the fourth industrial revolution, enabling the connection of technology and people. The digital economy is related to the rapid onset and penetration of information and communication technologies into all areas of human activity, which also requires new perspectives on the factors affecting the development and success of the economy. We digitize information and data, digitize the processes and systems that make up the functioning of the company, and digitally transform the company and its strategy. The main task of article is to determine the digital economy in the context of digital transformation and their impact on the electronification of accounting processes in the Slovak Republic. The article defines the progress and level of development of Europe's digital competitiveness in individual EU member states using the Digital Economy and Society Index (DESI). The position of Slovakia and the EU is compared for the period from 2018 to 2022. Slovakia needs to create conditions for the gradual digital transformation of all sectors of the economy. Digitization is also coming to the accounting. The article also describes how the approved amendment to the Act on Accounting as of January 1, 2022 creates space for streamlining the processing and archiving of accounting records. The current change in the amendment to the Act on Accounting thus offers completely new opportunities for working with corporate accounting in relation to internal processes in the company, but also in relation to financial administration or tax authorities. All entities, this also applies to agricultural entities keeping the double entry accounting, are obliged to follow the Act No. 431/2002 Coll. on Accounting as amended.

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations

Gaseous pollutants at the ground level seriously threaten the urban air quality environment and public health. There are few estimates of gaseous pollutants that are spatially and temporally resolved and continuous across China. This study takes advantage of big data and artificial-intelligence technologies to generate seamless daily maps of three major ambient pollutant gases, i.e., NO2, SO2, and CO, across China from 2013 to 2020 at a uniform spatial resolution of 10 km. Cross-validation between our estimates and ground observations illustrated a high data quality on a daily basis for surface NO2, SO2, and CO concentrations, with mean coefficients of determination (root-mean-square errors) of 0.84 (7.99 µg m-3), 0.84 (10.7 µg m-3), and 0.80 (0.29 mg m-3), respectively. We found that the COVID-19 lockdown had sustained impacts on gaseous pollutants, where surface CO recovered to its normal level in China on around the 34th day after the Lunar New Year, while surface SO2 and NO2 rebounded more than 2 times slower due to more CO emissions from residents' increased indoor cooking and atmospheric oxidation capacity. Surface NO2, SO2, and CO reached their peak annual concentrations of 21.3 ± 8.8 µg m-3, 23.1 ± 13.3 µg m-3, and 1.01 ± 0.29 mg m-3 in 2013, then continuously declined over time by 12 %, 55 %, and 17 %, respectively, until 2020. The declining rates were more prominent from 2013 to 2017 due to the sharper reductions in anthropogenic emissions but have slowed down in recent years. Nevertheless, people still suffer from high-frequency risk exposure to surface NO2 in eastern China, while surface SO2 and CO have almost reached the World Health Organization (WHO) recommended short-term air quality guidelines (AQG) level since 2018, benefiting from the implemented stricter "ultra-low” emission standards. This reconstructed dataset of surface gaseous pollutants will benefit future (especially short-term) air pollution and environmental health-related studies.

Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach

The connection between Earth's global temperature and carbon dioxide (CO2) emissions is one of the highest challenges in climate change science since there is some controversy about the real impact of CO2 emissions on the increase of global temperature. This work contributes to the existing literature by analyzing the relationship between CO2 emissions and the Earth's global temperature for 61 years, providing a recent review of the emerging literature as well. Through a statistical approach based on maximum entropy, this study supports the results of other techniques that identify a positive impact of CO2 in the increase of the Earth's global temperature. Given the well-known difficulties in the measurement of global temperature and CO2 emissions with high precision, this statistical approach is particularly appealing around climate change science, as it allows the replication of the original time series with the subsequent construction of confidence intervals for the model parameters. To prevent future risks, besides the present urgent decrease of greenhouse gas emissions, it is necessary to stop using the planet and nature as if resources were infinite.

Developing Entrepreneurial Sustainability among Saudi Arabia’s University Students

The role of entrepreneurship has transformed to include issues beyond economic growth. This has twisted attention toward the drivers of entrepreneurial intentions across entrepreneurship types, particularly in sustainable entrepreneurship. Sustainable entrepreneurship is essential and a protagonist tool in protecting the environment, economy and society. This ensures employment opportunities, solves environmental problems and facilitates social and economic development. Keeping into consideration, the present study attempts to investigate sustainable entrepreneurial intention through Attitudes toward Sustainability (ATS), Perceived Desirability (PED), Perceived Feasibility (PEF) and Opportunity Recognition (OR) among Saudi Arabia’s university students. We employed the quantitative approach and used a survey questionnaire to obtain the responses from the respondents. We targeted the students of different public sector universities in Saudi Arabia using a random sampling technique. Finally, we utilized 292 valid samples to infer the results. Utilizing the Structural Equation Model (SEM) through analysis of moment structures (AMOS), we found a positive and significant effect of Attitudes towards Sustainability (ATS), Perceived Desirability (PED) and Perceived Feasibility (PEF) on Sustainable Entrepreneurial Intentions (SEI) and Opportunity Recognition (OR). This study provides valuable insights into the entrepreneurship domain and offers guidelines for policymakers and planners in shaping the policies that promote entrepreneurial sustainability and employment in Saudi Arabia. Moreover, the OR factor also significantly and positively affects SEI. Finally, the study’s findings would contribute to the literature review by adding another empirical confirmation from Saudi Arabian students’ viewpoint.

Paleofire Data for Public Health Nursing Wildfire Planning: A Planetary Perspective

Public health Is Increasingly threatened by global warming, land use, and changing wildfire patterns that shape vegetation type, structure, and biodiversity and ultimately affect ecosystem services and our society.1 Uncontrolled large wildfires emit greenhouse gases and aerosols that induce direct and indirect climate feedback through radiative forcing in the atmosphere2 and irreversible changes of natural vegetation, thereby further accelerating climate change and associated fire risks.3 Wildfires are also harmful to human health because they create high pollution concentrations of fine particulate matter that are 2.5 micrometers or smaller (PM2.5) and concentrations of coarse particulate matter that are between 2.5 and 10 micrometers in size. When inhaled, particulate matter significantly increases a myriad of health outcomes, including overall mortality, cardiovascular mortality, and emergency department visits for respiratory morbidity, congestive heart failure, chronic obstructive pulmonary disease, and angina.4,5 Between July and October 2020, high PM2.5 concentrations from massive wildfires surrounding a large regional hospital in the western United States were associated with a 6% increase in COVID-19 cases.6 Risks for developing adverse health effects from wildfire smoke are greatest among people who are living with chronic conditions;who are experiencing intergenerational racial, economic, and housing discrimination;and who are facing social inequities from the COVID-19 pandemic.4The unprecedented recent wildfires in the western United States and their ill effects on human health and society, as well as the multiple other threats to people and places brought about by climate change, draw attention to the increasing urgency of developing new public health approaches and long-term adaptation strategies to support future population health. Observational fire data covering the past few decades give valuable information on current wildfire events.1 However, these data hardly capture long-term trends (i.e., centennial to millennial time scales) of wildfires and associated atmospheric emissions that may help to improve future fire models and thereby provide the base to adapt public health systems.3 To understand long-term trends, natural archives preserve fire history on a wide range ofspatial scales in the past beyond the period of observational fire data;examples include polar and highalpine ice cores;lake, peat, and marine sediment cores.3,8,9 Such paleofire records are based on measurements of the gaseous tracers ammonium and nitrate or particulate matter, such as levoglucosan and black carbon, and charcoal that reflect different components of wildfire-induced atmospheric smoke pollution.8,9 These paleofire records have previously identified complex regional interactions of humans, ecosystems, and climate change.3 Submicron-sized (100-500 nm in diameter) black carbon particles from wildfires and fossil fuel during the industrial era (i.e., the past 250 years) measured in ice cores and lake sediments can be used as a direct tracer for the release of harmful PM2.5 to the atmosphere.8,10 Such paleo black carbon records have been established from both polar and high-alpine glaciers on several continents and are recently developed from lake sediments.10 These found significant changes of fire activity in response to climate and human impact and enhanced pollution levels varying both in time and space. With public health nurses being well positioned to understand population health needs, planetary health, and the health consequences of wildfires, public health nurses can improve upon wildfire adaptation planning and essential public health services by understanding historical perspectives from past fires.9,11,13 Paleofire data provide direct estimates of historical atmospheric emissions from past wildfires and associated harmful concentrations of particulate matter over long distances.