Prioritising climate change actions post COVID-19 amongst university students, a Q methodology perspective in the United Arab Emirates

The COVID-19 pandemic caused strict regulations to lower transmission rates. Industries were shut down, people were in lockdown, and travel was curtailed. Restrictions were in effect for an enough period for people's behaviour to change. For example, online meetings rather than needing to travel. This opens the possibility for alterations to the perception that it is possible to commit to effective climate change actions. A Q methodology study was conducted to analyse how 33 university environmental students across the United Arab Emirates perceive the importance of prioritising climate change actions post-pandemic. Statistical analysis yielded four discourses. The first emphasises the need to learn lessons about climate sustainability and sustain them post-pandemic. The second, more pessimistic but advocates preventing a return to pre-pandemic norms by implementing post-pandemic climate change regulations. The third expects economic recovery to take priority over reducing emissions. The fourth raises opportunities and challenges for environmental sustainability post-COVID-19.

Is irrigation fit for purpose? A review of the relationships between scheme size and performance of irrigation systems

Irrigation is increasingly being called upon to help stabilize and grow food and water security in the face of multiple crises;these crises include climate change, but also recent global food and energy price crises, including the 2007/08 food and energy price crises, and the more recent crises triggered by the COVID-19 pandemic and the war on Ukraine. While irrigation development used to focus on public, large-scale, surface- and reservoir-fed systems, over the last several decades, private small-scale investments in groundwater irrigation have grown in importance and are expected to see rapid future growth, particularly in connection with solar-powered pumping systems. But is irrigation 'fit-for-purpose' to support population growth, economic development, and multiple food, energy and climate crises? This paper reviews how fit-for-purpose irrigation is with a focus on economies of scale of surface and groundwater systems, and a particular examination of systems in Sub-Saharan Africa where the need for expansion is largest. The review finds challenges for both larger surface and smaller groundwater systems in the face of growing demand for irrigated agriculture and dwindling and less reliable water supplies. To support resilience of the sector, we propose both a holistic design and management improvement agenda for larger surface systems, and a series of suggestions to improve sustainability concerns of groundwater systems.

COVID-19, climate shocks, and food security linkages: evidence and perceptions from smallholder farming communities in Tanzania

Insights on the indirect effects of the COVID-19 pandemic are critical for designing and implementing policies to alleviate the food security burden it may have caused, and for bolstering rural communities against similar macroeconomic shocks in the future. Yet estimating the causal effects of the pandemic is difficult due to its ubiquitous nature and entanglement with other shocks. In this descriptive study, we combine high-resolution satellite imagery to control for plot-level rainfall with household socio-economic panel data from 2014, 2016, 2019 and 2020, to differentiate the effect of the pandemic from climatic shocks on food security in Morogoro, Tanzania. We find evidence of decreased incomes, increased prices of staple foods, and increased food insecurity in 2020 relative to previous years, and link these changes to the pandemic by asking households about their perceptions of COVID-19. Respondents overwhelmingly attribute economic hardships to the pandemic, with perceived impacts differing by asset level.

Surveillance of SARS CoV-2 and other respiratory viruses in 2020-2021 winter season

Aim: The global COVID-19 pandemic and new variants continue to seriously threaten society. In this study;It was aimed to investigate surveillance of SARS CoV-2 and other respiratory viruses in respiratory tract samples in the winter season of 2020-2021 in Sakarya province. Material and Method: The study was carried out at Sakarya Training and Research Hospital between 2020-2021. e study was carried out with respiratory tract samples (Nasopharyngeal swab) stored in the laboratory. Clinical samples included in study were stored in a Bio-SpeedyRvNATRtransfer tube (Bioeksen,Turkey) and no extraction was performed in accordance with manufacturer's instructions. All analyzes were recorded on BIO-RAD CFX-96C1000 Touch Real-time system device using Diagnovital influenza A/B, SARS CoV-2, RSV multiplex Real Time PCR amplification kit. Results: Of the 200 patients diagnosed with URTI/LRTI, 54.5% were male and 45.5% female. e most common clinical symptoms;sore throat 74%, cough 73.5%, fatigue 71%, fever 57%, runny nose 56%, headache 48.5%, sneezing 41.5%, loss of smell / taste 39.5%, diarrhea 36%, dyspnea was 31.5% and myalgia was 23.5%. PCR positivity rates of samples were analyzed as 28.5% for SARS COV-2 and 1.5% for RSV, respectively. PCR positivity for influenza A/B was not defined in the study. Considering the statistical significance between PCR results and COVID-19 symptoms in patients;symptoms of dyspnea (n=63), fever(n= 62) and sneezing(n=56), respectively, were statistically significant(p<0.05). Conclusion: Due to the circumstances, only three main viral agents could be investigated in the study. RSV was frequently identified as an important factor in pediatric patients, whereas influenza-which may be related to social and individual measures (mask,distance,hygiene)- was not detected in any sample. More comprehensive scientific studies are needed to support the data.

On growth patterns and mechanisms in arctic-alpine shrubs. (Special Issue: The uneven geographies of the COVID-19 pandemic.)

Arctic-alpine ecosystems are considered hot-spots of environmental change, with rapidly warming conditions causing massive alterations in vegetational structure. These changes and their environmental controls are highly complex and variable across spatial and temporal scales. Yet, despite their numerous implications for the global climate system, the underlying physiological processes and mechanisms at the individual plant scale are still little explored. Using hourly recordings of shrub stem diameter change provided by dendrometers, paired with on-site environmental conditions, enabled us to shed light on these processes. In this way, growth patterns in three widely distributed shrub species were assessed and linked to thermal and hygric conditions. We started our analysis with a close examination of one evergreen species under extreme environmental conditions, followed by a comparison of evergreen and deciduous species, and, finally, a comparative look at growth patterns across local micro-habitats. The results revealed distinct growth strategies, closely linked to species-specific water-use dynamics and cambial rhythms. Within the heterogenous alpine landscape these conditions were mainly attributed to the variation in local micro-habitats, defined by fine-scale topography and consequent variation in snow conditions and exposure. Thus, the overall growth success was mainly controlled by complex seasonal dynamics of soil moisture availability, snow conditions, and associated freeze-thaw cycles. It was therefore in many cases decoupled from governing regional climate signals. At the same time, exceedingly high summer temperatures were limiting shrub growth during the main growing season, resulting in more or less pronounced bimodal growth patterns, indicating potential growth limitation with on-going summer warming. While shrubs are currently able to maximize their growth success through a high level of adaptation to local micro-site conditions, their continued growth under rapidly changing environmental conditions is uncertain. However, our results suggest a high level of heterogeneity across spatial and temporal scales. Thus, broad-scale vegetational shifts can not be explained by a singular driver or uniform response pattern. Instead, fine-scale physiological processes and on-site near-ground environmental conditions have to be incorporated into our understanding of these changes.

Vertical farming - smart urban agriculture for enhancing resilience and sustainability in food security

Global food security has been significantly threatened by the Covid-19 pandemic and several prolonged challenges such as climate change, population increases, shortage of natural resources, energy crisis, and rapid urbanisation worldwide. Although numerous attempts have been made to secure resilience in the food system, many countries are suffering from hunger and malnutrition, particularly in African and some Asian countries. This review paper presents one of the sustainable farming practices - vertical farming that could play a key role in mitigating global food security in the current uncertain world. It addresses the recent development of vertical farming with advanced precision monitoring and controlling system by the Internet of Things (IoT) applications. It also provides information about the opportunities and challenges of vertical-urban agriculture and how urban agriculture meets economic, social and educational needs.

The pandemic COVID-19 and its positive influences on the environment

The coronavirus disease (COVID-19) has emerged as the latest and serious public health threat throughout the world. In the absence of prevention and rehabilitation interventions, different countries have implemented shutdown and/or lockout policies to monitor the transmission of the epidemic, resulting of a significant reduction in anthropogenic activities. As a result, this kind of phenomenon is helped to inhibit the environmental degradation activity by reducing various pollutants from the air, water and soil. This condition provided 'a once-in-a-lifetime' chance for nature to evolve and recover. This paper discusses the nature of which in terms of its beneficial effect on water, air, the ozone layer, and waste deposition. Finally, the article also presents certain suggestive measures by highlighting the role of government, educational institutes, and a person as a whole in the sustenance of nature under pandemic. Based on the reported effect of the pandemic on the environment, it can be inferred that nature, with or without human intervention, can repair itself to some degree. However, human beings need to aware of saving and supporting to nature instead of involving in constant degradation.

Risk assessment on air environment control in ship negative pressure ward

OBJECTIVE: To explore the air environment control in ship negative pressure ward and conduct the risk assessment. METHODS: STARCCM+ simulation software was employed to simulate the air environment in the negative pressure ward of ships, and the impact of ventilation volume, non-equilibrium pressure difference and open/close door disturbance on the flow of polluted gas in the ward and the pressure control between compartments was observed. RESULTS: It was found that the pressure gradient and airflow direction of adjacent cabins were basically the same under different ventilation conditions;the pressure fluctuation of the medical corridor had the greatest impact on the buffer room, and when the negative pressure fluctuated higher than the design value, the pressure difference between the buffer room and the negative pressure ward was lower than the design requirement of 5 Pa;when the cabin door was opened from the buffer room to the corridor, that was, when the cabin door was opened to an area with low negative pressure, a low pressure area appears in the buffer room, and the polluted air flowed from the corridor to the buffer room. Finally, the risk of airborne infection was assessed by using the Wells-Riley model, doubling the amount of ventilation reduced the probability of transmission of SARS-CoV-2 infection by about 100%. The results showed that the ventilation volume had little effect on the pressure control, but it wound affect the probability of transmission of viral infection;the pressure fluctuation in a certain compartment would affect the pressure in other areas, so that the pressure control between the compartments did not meet the design requirements, opening the hatch door to the area with low negative pressure could reduce the risk of virus transmission. CONCLUSION: The research provides guidance for the air environment control in the ship's negative pressure isolation ward so as to prevent the spread of infectious diseases in the ship.

Current understanding of the airborne transmission of important viral animal pathogens in spreading disease

Current research on airborne transmission of African swine fever virus (ASFV), porcine epidemic diarrhoea virus (PEDV), avian influenza (AIV), porcine reproductive and respiratory syndrome virus (PRRSV), and foot and mouth disease virus (FMDV) was reviewed to evaluate commonalities, knowledge gaps, and methodologies of studying airborne transmission of animal diseases. The reviewed studies were categorised as short-range transmission (within a single facility) and long-range transmission (beyond a single site). Short-range airborne transmission was demonstrated for at least one strain of the above-mentioned pathogens in experimental settings. Most studies reported in the literature concern FMDV, with limited information for ASFV and PEDV, particularly for short-range airborne transmission. Air sampling upwind, downwind, and within infected facilities has been commonly used to demonstrate long-range airborne transmission. The amount of evidence from air sampling for each of the reviewed viruses varies from no evidence on ASFV to evidence from multiple settings for AIV. Computer modelling has been used to study past outbreaks of infectious diseases to assess the contribution of airborne transmission with a multitude of computer models reported in the literature for simulating long-range airborne transmission of FMDV based on past outbreaks. This has resulted in predictive tools for assessing future risk of airborne transmission. Some important computer models are based on epidemiology analysis, weather analysis, and air dispersion. Few models are reported for ASFV, PEDV, and PRRSV. Studies in the literature indicate that airborne transmission is generally affected by virus strain, aerosol type, shedding duration and concentration, environmental conditions, and infectious dose.

Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China

The observations of atmospheric CO2 mole fraction in urban area in China are relative sparse. Here, we present the first-hand observation of atmospheric CO2 mole fraction from 2016 to 2020 at a city station (Hangzhou, abbreviated as HZ) in the Yangtze River Delta, which is one of the strongest CO2 source regions in China. The CO2 mole fraction at an adjacent World Meteorological Organization / Global Atmospheric Watch (WMO/GAW) programme site (Lin'an, LAN) are also presented and compared. The temporal variations, seasonal variations, and influence of COVID-19 pandemic are analyzed. Our results show that, the variations of CO2 mole fraction in Hangzhou are mainly driven by the local emissions, both atmospheric dilution conditions (i.e., wind speed, visibility) and topography, and the temporal variations are apparently different with the suburb site of LAN, although the distance between the two stations is only 50 km. During the observation period, the CO2 mole fraction at HZ is on average 15.6 +or- 0.2 ppm higher than LAN, with two distinct peaks observed at 9:00 and 17:00-18:00, corresponding to traffic rushing hours. The growth rate of atmospheric CO2 mole fraction is 11.2 +or- 0.1 ppm yr-1 before the COVID-19 pandemic (from 2016 to 2019), which is much higher than the suburb site of LAN, 5.4 +or- 0.1 ppm yr-1. The COVID-19 pandemic has led to a plunge of atmospheric CO2 mole fraction at HZ in 2020, with a value of 15.7 +or- 0.7 ppm, corresponding to 3.5% lower than the year of 2019. But at LAN, the annual average CO2 mole fraction in 2020 is 1.5 +or- 0.5 ppm higher than the previous year, similar to the trend in the northern hemisphere. The different annual CO2 mole fraction growth rate at HZ indicates that the CO2 mole fraction at Hangzhou may be dominated by local anthropogenic emissions, despite the transport of airmass from the north and southwest.

Global evidence of the exposure-lag-response associations between temperature anomalies and food markets

Recent years have witnessed a landmark shift in global food prices due to the frequency of extreme weather events caused by temperature anomalies as well as the overlapping risks of COVID-19. Notably, the threat posed by temperature anomalies has spread beyond agricultural production to all aspects across food supply and demand channels, further amplifying volatility in food markets. Exploring trends in global food prices will give nations early warning signs to ensure the stability of food market. Accordingly, we utilize the Distributed Lag Non-Linear Model (DLNM) to simultaneously establish the exposure-lag-response associations between global temperature anomalies and food price returns in two dimensions: "Anomaly Degree" and "Response Time". Meanwhile, we also examine the cumulative lagged effects of temperature anomalies in terms of different quantiles and lag times. Several conclusions have been drawn. First, global food price returns will continue to decrease when the average temperature drops or rises slightly. While it turns up once the average temperature rises more than 1.1 degrees C. Second, major food commodities are more sensitive to temperature changes, and their price returns may also trend in a directional shift at different lags, with the trend in meat price being more particular. Third, food markets are more strongly affected in the case of extreme temperature anomalies. Many uncertainties still exist regarding the impact of climate change on food markets, and our work serves as a valuable reference for international trade regulation as well as the creation of dynamic climate risk hedging strategies.

Analysis of epidemic characteristics and related factors of norovirus in diarrhea patients in Guangxi, 2015-2020

To analyze the epidemiological characteristics and related factors of norovirus in Guangxi from 2015 to 2020, and to provide scientific recommendations for norovirus prevention and control. Methods The foodborne diseases surveillance data were collected from 11 sentinel hospitals through the National Foodborne Disease Monitoring and Reporting System from 2015 to 2020. R software with version 4.0.3 was used for descriptive and statistical analysis, including epidemic curve, chi-square test, and trend chi-square and so on. Logistic regression was used to analyze norovirus-related factors, OR values and 95% confidence intervals were calculated respectively with the statistical test level of P < 0.05. Results There were 1 008 norovirus cases detected, with a detection rate of 12.75% (1 008/7 903). Children with age less than 5 years (OR=1.43, 95%CI: 1.13-1.82) and patients at age 20-45 (OR=1.45, 95%CI: 1.13-1.87) were high risk population. The detection rate was higher in autumn (OR=1.29, 95%CI: 1.08-1.53) but lower in summer (OR=0.67, 95%CI: 0.55-0.80). In addition, the tourist area (Guilin City) presented a higher detection rate than other areas (OR=1.41, 95%CI: 1.10-1.80). Aquatic products (OR=1.40, 95%CI: 1.03-1.91), meat and dairy products (OR=1.31, 95%CI: 1.06-1.61) were high-risk foods for norovirus infection. The prevention and control policies of COVID-19 can reduce the possibility of norovirus by 61% (OR=0.39, 95%CI: 0.31-0.49) showed a declining trend (Trend X2=85.33, P < 0.001). In addition, prolonged visit time can lead to 19%-23% decrease in the detection rate of norovirus (OR24-48 hours=0.81, 95%CI: 0.70-0.95;OR>48 hours=0.77, 95%CI: 0.63-0.93). Conclusions The epidemic of norovirus presented seasonal and regional distribution in Guangxi with a declining detection rate trend in diarrhea patients during recent 6 years. Young children were high-risk population in infection norovirus. The intake of seafood can increase the risk of norovirus infection. The prevention and control policies of COVID-19 can sharply decrease the possibility of infection norovirus. The monitoring of key foods such as seafood should be strengthened, and the early screening of suspected cases should be taken. The norovirus monitoring should be improved to ensure the health of the population.

Impact of Coronavirus spread prevention actions on sewage quantity and quality

Spread prevention actions (SPAs) during Coronavirus pandemic period, such as increased hand-washing, temporary lock-downs, preventions in transportation, and the reduction of recreational and industrial activities may change the routines in social behaviors. Accordingly, SPAs can be effective on the quality and quantity of raw municipal wastewater. This research evaluates the aforementioned hypothesis and recommends solutions for the proper operation of wastewater treatment plants (WWTPs). Methods: For this purpose, the quantity and quality of sewage in 23 municipal WWTPs in Isfahan province, as the study area, were surveyed and compared from 2015 to 2020. SPSS software (version 23) was used for statistical analysis. Results: Results indicated that the annual growth rate of sewage discharged in the spring and summer of 2020 (period of SPAs) in the study area is 24% more than the average of annual growth rate in long-term (2015-2019). This increase is 45% in small WWTPs, while it is only 5% in large WWTPs. Results also revealed that the concentration of chemical oxidation demand (COD) of sewage was reduced 24% on average in this period. In addition, the biodegradability of wastewater is increased in large WWTPs mainly due to the decrease of industrial activities. Conclusion: Therefore, SPAs in the pandemic period of Coronavirus could increase the quantity of municipal wastewater and reduce its COD concentrations. These variations may provide more appropriate operational conditions for waste stabilization ponds rather than activated sludge units.

Epidemiological investigation of bovine viral diarrhea virus infection in swinery

From 2017 to 2020, 1 078 piglet diarrhea samples were collected from 6 pig farms in different districts of Shanghai. Multiple RT-PCR method was used for detection and analysis to study the infection status of bovine viral diarrhea virus (BVDV) in swinery in Shanghai. The results showed that the overall detection rate of BVDV in swinery in Shanghai was 7.14% (77/1 078), and showed an increasing trend year by year. The mixed infection rate of BVDV and other diarrhea pathogens was high, with the highest dual infection rate (65%, 26/40), mainly BVDV/PASTV (61.54%, 16/26). On this basis, the triple infection rate was 25% (10/40), mainly BVDV/PAStV/PKoV (40%, 4/10) infection mode;The quadruple infection rate was 10% (4/40), which was dominated by BVDV/PAStV/PEDV/PSV (50%, 2/4) infection. The BVDV prevalence in swinery was seasonal, and the prevalence in spring (10.36%) and autumn (13.59%) was higher than that in summer (6.8%) and winter (2.66%). The positive rate of BVDV in different pig farms was significantly different by 0-24.07%. In view of the detection rate of diarrhea virus dominated by PEDV in pig farm 2 had been high in recent years, this study further monitored the infection of BVDV in this pig farm, and found that the detection rate of BVDV in this pig farm was increasing year by year from 2017 to 2019, with the highest detection rate in 2019 (8.61%, 42/488);The mixed infection of BVDV and other diarrhea pathogens was also serious, with the dual infection rate of 57.58% (19/32), triple infection rate of 21.21% (7/32), quadruple infection rate of 21.21% (7/32), respectively. This study enriched the epidemic data of BVDV in swinery in Shanghai, and could provide reference for the prevention and control of pig epidemics.

COVID-19 lockdown effect on land surface temperature and normalized difference vegetation index

Coronavirus disease (COVID-19) has changed the human lifestyle just like a disaster in 2020. Many people died throughout the world due to its severe attack. Lockdown is the most common term used in today's life to prevent the adverse effect of COVID-19. However, during the lockdown period, a significant improvement in the urban environment was noticed in almost every part of the world. During the lockdown period, the decrease in the number of running vehicles and moving people on the road lowers the pollution level and it has a direct positive impact on the urban environment. The study examines the changes found in land surface temperature (LST) and normalized difference vegetation index (NDVI) during the lockdown period in Raipur city, India with the earlier periods (2013-19) to compare the environmental status. The results indicate that the LST is reduced and NDVI is increased significantly during the lockdown period, and the negativity of the LST-NDVI correlation is increased remarkably. The study also shows a better ecological status of the city during the lockdown period. The study is useful for environmental strategists and urban planners.

Significant effect of COVID-19 induced lockdown on air quality of the Indian metropolitan city Kolkata using air quality index and health air quality index

The lockdown, commencing in India from March 23, 2020 to control the escalation of Covid-19 cases, exhibited a positive impact on the air quality. The study attempts to assess the outcome of lockdown on the air quality of Kolkata, India followed by the comparison of six priority pollutants during pre-lockdown, lockdown, and unlock phases. Averaged concentrations of PM10 (72%), PM2.5 (73%), NOx (84%), SO2 (48%), and CO (61%) showed reduction throughout lockdown in comparison with pre-lockdown phase, although no significant reduction was observed in ground-level Ozone. Unlock Phases I and II showed similar concentrations of the pollutants as that in the lockdown period whereas, in unlock Phase-III, the air quality became comparable to that before lockdown. Statistical analysis confirmed that the reduction in air pollution is attributed to atmospheric factors. PCA analysis established significant positive correlation between particulate matters, CO, SO2, and NOx;however, no significant correlation was observed between NOx and O3. January and December showed the highest load of most of the pollutants. Health risk was evaluated by calculating the Relative risk and Health Air Quality Index, which showed maximum health risk during the pre-lockdown and minimum during lockdown and unlock Phase-II with the highest contributor being PM10. The study outcome manifests a reduction in environmental pollution as a result of controlled anthropogenic activities.

Special issue. (Special issue.)

This special issue contains 17 papers covering a range of topics related to environmental, geological, and social issues in Bangladesh. The articles use various methodologies, including statistical analysis, satellite imaging, and case studies, to explore issues such as drought, urbanization, healthcare, greenhouse gas emissions, groundwater resources, COVID-19 stigmatization, oil rim reservoir development, coal permeability, seaweed composition, hailstorms, tropical cyclones, heavy metal contamination, flood hazard assessment, and climate change vulnerability. Overall, the articles provide valuable insights and information that can inform policy and decision-making in Bangladesh.

Paddy stubble burning in Punjab: an architect of breathing woes

Crop residue burning (CRB) is a persistent issue in north India, every year it engulfs the whole of North India in its fumes. CRB results in severe negative aftermaths on both human health and the environment especially now when the Covid-19 pandemic is so rampant to cause respirational distress. The current study was being conducted to assess the state of crop residue burning in Punjab. The research was based on secondary data from the Punjab Remote Sensing Centre, which spans the years 2016 to 2020. During the season, Kharif the number of stubble-burning cases decreased from 81042 to 71081 (a decrease of about 13 percent) from 2016 to 2020. This dwindling trend in cases is a good sign for environmental conservation. There has been an increase of 25% in stubble burning during the Rabi season from 2016 to 2020, incidences of stubble burning have reached an all-time high in the last five years, even during the widespread Covid 19 outbreak and may be because of labour shortages during Covid-19. The farmers who had previously embraced good crop residue management methods may resort to burning fields in the coming rice harvesting season due to additional challenges which exacerbating the problem. The government should focus on subsidizing crop residue technologies and effective behavior change approaches to tackle the problem unanimously with the help of farmers themselves. The study recommends mandatory diversification of the cropping cycle on a minimum acreage basis, shift to earlymaturing rice varieties as PAU suggested, and making paddy residue management technologies like happy seeder and super seeder widely available. Farmers should be incentivized accordingly for good agricultural practices rather than punished for burning.

Analysis and perspectives of sweetpotato industry contributing to national food security in China

Chinese food security has been impacted by the combination of climate change, trade war, COVID-19 and partial conflict. This paper summarized the characteristics of sweetpotato for its high yield and adaptability in China. Chinese sweetpotato industry has wide space and solid foundation for development in the future, and the utilization ways of sweetpotato tend to be diversified.

Geosafe: an agroclimatic characterization system for farming insurance. (L'Accademia per il post Covid-19.)

"Geosafe" is a web-based service enabling insurance agencies to access a climate data-base supporting farm insurance business. Risk indexes are elaborated on the whole national territory according to the local hazard conditions and exposure. The current agrometeorological products are developed for maize, wheat, grape and olive. For each of these crops, phenological models represent the specific weather sensitivity. Meteorological informative layers are then used to define heat stresses, low temperature and drought hazards.