Sydney Research Articles

Heavy versus extreme rainfall events in southeast Australia

AbstractFocussing on the major cities of Brisbane, Sydney, and Melbourne in southeast Australia, this study seeks to determine the environmental factors that distinguish between heavy rainfall events (HREs) and extreme rainfall events (EREs). Using daily rain gauge observations, HREs and EREs are defined for each domain based, respectively, on the 95th and 99th percentiles of wet‐day rainfall for the period 1979–2018. K‐means clustering is applied to mean sea‐level pressure, data from ERA5 to obtain a set of representative large‐scale circulation patterns associated with these events. Composite synoptic maps, mean vertical profiles, and a series of column‐integrated diagnostics are then examined for each cluster and used to compare the environmental characteristics of HREs and EREs. For all three cities, HREs are associated with an upper‐level trough to the west, with large‐scale ascent, positive column water vapour (CWV) anomalies, and strong moisture transport over the analysis domain. For Brisbane and Sydney, the clusters are characterised by a coastal trough/low with moist onshore flow from the Tasman and Coral Seas. For Melbourne, circulation patterns are more distinct, with clusters characterised by a front, a cut‐off low, and an inland trough. Compared with HREs, EREs show a more amplified upper‐level trough, with stronger vertical motion and larger CWV anomalies over the analysis domain. In Brisbane and Sydney, EREs also feature stronger and deeper onshore flow, promoting enhanced moisture transport. A diagnostic termed upward vapour transport, which combines the key ingredients of high CWV and large‐scale ascent, is shown to discriminate well between HREs and EREs in all three domains. In contrast, surface temperature, which is frequently linked to rainfall extremes via Clausius–Clapeyron scaling, shows significant overlap between the different event categories, particularly for Brisbane and Sydney.

Scaling up urban infrastructure for physical activity in the COVID-19 pandemic and beyond

Scaling up urban infrastructure for physical activity in the COVID-19 pandemic and beyond

Peculiarities of formation of physical preparedness of athletes in athletics

In the training of all-round track and field athletes there are basically two ways to achieve high athletic performance. The first one is the improvement and development of those basic skills, to which the athlete is more predisposed (to speed, strength, etc.).
 The essence of the second one lies in the fact that it is aimed at equal improvement of all physical abilities for mastering the events included in decathlon and heptathlon (sprint events, jump events, speed-strength events and endurance events).
 The athletic performance rates of Ukrainian all-rounders, participating at these competitions, are 400-800 points behind. The best place of the Ukrainian athlete Olexiy Kasyanov at the World Championship 2009 was third with 8470 points, and the worst 23rd place was taken by Fedir Laukhin (7652 points) at the Olympic Games 2000 in Sydney (Australia). The irregular participation of Ukrainian all-round athletes in the main sports forums (Olympic Games and world championships) shows that the system of training decathletes in our country does not meet the expected standards.
 It is possible to distinguish many reasons for such performances. In recent years they are associated with the fact that the leaders of decathletes traditionally don’t participate in the championships of Ukraine. So, all other athletes have no possibilities to compete with the strongest in this particular sport and to show their highest results. And this happens along with the absence of highly qualified coaches and conditions for the educational and training process.

The effect of COVID19 pandemic restrictions on an urban rodent population

Shortly after the enactment of restrictions aimed at limiting the spread of COVID-19, various local government and public health authorities around the world reported an increased sighting of rats. Such reports have yet to be empirically validated. Here we combined data from multi-catch rodent stations (providing data on rodent captures), rodent bait stations (providing data on rodent activity) and residents’ complaints to explore the effects of a six week lockdown period on rodent populations within the City of Sydney, Australia. The sampling interval encompassed October 2019 to July 2020 with lockdown defined as the interval from April 1st to May 15th, 2020. Rodent captures and activity (visits to bait stations) were stable prior to lockdown. Captures showed a rapid increase and then decline during the lockdown, while rodent visits to bait stations declined throughout this period. There were no changes in the frequency of complaints during lockdown relative to before and after lockdown. There was a non-directional change in the geographical distribution of indices of rodent abundance suggesting that rodents redistributed in response to resource scarcity. We hypothesize that lockdown measures initially resulted in increased rodent captures due to sudden shortage of human-derived food resources. Rodent visits to bait stations might not show this pattern due to the nature of the binary data collected, namely the presence or absence of a visit. Relocation of bait stations driven by pest management goals may also have affected the detection of any directional spatial effect. We conclude that the onset of COVID-19 may have disrupted commensal rodent populations, with possible implications for the future management of these ubiquitous urban indicator species.

Ethnic inequalities in green space availability: Evidence from Australia

Evidence affirms that green space has health benefits, but ethnic inequities in green space availability are under-researched. Percentages of parkland, tree canopy, and open grass within 1.6 km road network distance from home were linked to 110,233 participants in the Sax Institute’s 45 and Up Study baseline survey living in the cities of Sydney, Newcastle and Wollongong. Participants were dichotomised as having insufficient quantity of each green space variable using <20 % vs >20 % as a cut-point, based upon previous studies indicating evidence of health benefits above this threshold. Adjusted multilevel logistic regressions were used to examine odds of insufficient green space associated with country of birth, years lived in Australia, and whether a language other than English was spoken at home. Compared to participants born in Australia, those born in Italy, Lebanon, Vietnam, or China had higher odds of insufficient parkland. Migrants arriving in Australia after 1966 and those speaking a language other than English also had higher odds of insufficient parkland. In contrast, odds of insufficient tree canopy were lower among participants born in Germany, Italy, Lebanon, the Philippines, China, and India compared to those born in Australia. Odds of insufficient tree canopy were also lower for those who moved to Australia after 1966 or who spoke a non-English language at home. Odds of insufficient open grass were higher for participants born in China, migrants between 1996 and 2008, and those speaking a language other than English at home. In conclusion, different ways of measuring ethnicity and green space influenced the patterns observed. Implications for understanding ethnicity-related contingencies in greenspace-health associations requires study.

Beyond language: Motivators and barriers to breast cancer screening among Korean-speaking women in Sydney Metropolitan, Australia.

There are persistent disparities in breast screening participation rates between Australian-born women and women from culturally and linguistically diverse (CALD) backgrounds. Cancer Institute NSW statistics from 2015 show Korean speaking women had the second lowest breast screening participation rates when compared across all language groups. The study aimed to gain a better understanding of the motivators and barriers associated with participation in breast cancer screening among women from a Korean background living in the Sydney metropolitan area. Semi-structured individual interviews (n=32) and small focus groups (n=28) were conducted. Data from interviews and focus group discussions were analysed using thematic analysis. The findings highlight the barriers to access breast screening services extend beyond language to include perception, a lack of knowledge and understanding of the services offered, unfamiliarity with the Australian healthcare system and distrust in breast screening services. Supporting Korean women to understand and navigate the Australian healthcare system plays an important role in increasing breast screening participation rates. Key strategies to provide this support include the delivery of culturally sensitive health promotion and community engagement as well as the provision of translated health information.

952-P: Deranged Liver Enzyme Levels and Indices of Hepatic Steatosis and Fibrosis on the Development of Gestational Diabetes

Objective: Nonalcoholic fatty liver disease has been associated with the development of gestational diabetes (GDM). We sought to determine whether abnormal liver enzyme levels and indices of hepatic steatosis and fibrosis in an entire pregnant population are associated with GDM development. Methods: A retrospective cohort study was conducted on adult women (≥18 years) who delivered at 2 teaching hospitals in Sydney Australia from January 2016 to December 2017. Liver enzymes (aspartate aminotransaminase (AST), alanine aminotransaminase (ALT), gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP), albumin (ALB) and bilirubin (BIL)) obtained 12 months pre-gravid, or during pregnancy but prior to GDM screening, were extracted from the hospital pathology database and linked with oral glucose tolerance test results. The Fibrosis-4 (FIB-4) and Hepatic Steatosis Index (HSI) were calculated. Univariate analysis was undertaken to determine the association between deranged liver enzymes, FIB-4, HSI and GDM. Multiple logistic regression, with adjustment for age, ethnicity, pre-gravid body mass index (BMI), parity, prior GDM and family history of diabetes, was conducted to determine if any of these were independent predictors of GDM. Results: Over 2 years, 1429 women had liver enzymes collected. As per IADPSG (2010) criteria, 255 had diagnosed GDM, of which 82 (32.2%) were obese (BMI &amp;gt;30kg/m2), 243 (82.4%) were multiparous, and 223 (87.5%) had prior GDM. Elevated GGT (&amp;gt;35IU/L, p=0.006) and HSI (p=0.005) were associated with development of GDM, whilst low ALB (&amp;lt;35g/L) and elevated ALP (&amp;gt;110IU/L), ALT (&amp;gt;35IU/L), AST (&amp;gt;35IU/L), BIL (&amp;gt;19umol/L) and FIB-4 were not. On adjustment for confounders, elevated GGT (AOR 1.1, 95% CI 0.32-3.8, p=0.88) and HSI (AOR 0.6, 95% CI 0.26-1.3, p=0.21) were not independent predictors of GDM. Conclusions: Our results indicate deranged liver enzymes or clinical indices of hepatic steatosis and fibrosis were not associated with GDM. Disclosure T. Y. L. Chai: None. D. Pasupathy: None. J. George: None. N. Cheung: None.

Users’ building optimal performance manual

Occupant behaviour has a significant impact on the overall energy performance of a building. The lack of awareness, misinformation and misunderstanding of the buildings’ systems and features are some of the key elements that impact the use of energy in buildings. This paper presents the results of a workshop performed to increase the awareness of the occupants of two university buildings, in Sydney Australia. The occupants were asked to provide their opinions on their interactions with the lighting, cooling, heating, equipment, windows opening and shading. Then, the behaviours collected in the surveys were converted into energy use, through building simulations, and the results presented in a workshop. After presenting the results, a brainstorming was promoted to collect occupants’ new perceptions based on the previous results. Occupants highlighted as one of the key impacting factors to high levels of energy use the lack of awareness. To answer to the outcome from the workshop, this paper suggested then the incorporation of a users’ building performance (U-BOP) manual as a tool to be used to increase occupant’s awareness and increase the overall performance of a building. It was used as an example and baseline for the manual the building user guideline (BUG) from Green Star and BREEAM, as well as exiting O&M reports. The results of this study and workshop should not be extended to other occupant behavioural situations and patterns. The results should be maintained within the present study and context.

Battery electric vehicles in cities: Measurement of some impacts on traffic and government revenue recovery

We are told that electric vehicles, cars in particular, will be good for the environment. But what exactly might this mean? It is true that end use emissions will be significantly reduced when we move from fossil fuels to green energy sources? Assuming that the demand for such cars, including battery electric vehicles (BEVs) in particular will grow, we can expect a significant number of such vehicles manufactured in future years. Given the potentially relatively lower cost (fewer moving parts) compared to internal combustion engine vehicles as well as the significantly lower usage costs per kilometre, we would expect a level of uptake that could impact on the performance of the road network (perhaps increased congestion and crash risk) but also a concomitant reduced use of public transport and fuel excise loss. In this paper, we apply the MetroScan modelling system in the Greater Sydney Metropolitan Area (GSMA) over the period 2021–2056 to identify the likely impact that the growth in BEV ownership and use will have on vehicle kilometres, modal shares, government revenues, levels of CO2 emissions and other impacts. Moreover, we investigate the introduction of a BEV usage charge proposed in Australia to see what it might do to these key performance indicators and whether it can offset the adverse effects during BEV uptake such as government fuel excise revenue loss and increased congestion.

Resolving the influence of local flows on urban heat amplification during heatwaves

Heatwaves have implications for human health and ecosystem function. Over cities, the impacts of a heatwave event may be compounded by urban heat, where temperatures over the urban area are higher than their rural surroundings. Coastal cities often rely upon sea breezes to provide temporary relief. However, topographic features contributing to the development of Foehn-like conditions can offset the cooling influence of sea breezes. Using convection-permitting simulations (⩽4 km) we examine the potential for both mechanisms to influence heatwave conditions over the large coastal city of Sydney, Australia that is bordered by mountains. Heatwave onset in the hot period of January–February 2017 often coincides with a hot continental flow over the mountains into the city. The temperature difference between the coast and the urban–rural interface can reach 15.79 °C. Further, the urban heat island contributes on average an additional 1 °C in the lowest 1 km of the atmosphere and this often extends beyond the city limits. The cumulative heat induced by the urban environment reaches 10 °C over the city and 3 °C over adjacent inland areas. Strong sea breezes are important for heat dispersion with city temperature gradients reducing to within 1 °C. The resolution permits a comparison between urban types and reveals that the diurnal cycle of temperature, moisture content and wind are sensitive to the urban type. Here we show that convection permitting simulations can resolve the interaction between local breezes and the urban environment that are not currently resolved in coarser resolution models.

Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index

In this study; the spatial distribution of the Daily Precipitation Concentration Index (DPCI) has been analyzed inside the Greater Sydney Metropolitan Area (GSMA). Accordingly, the rainfall database from the Australian Bureau of Meteorology archive was utilized after comprehensive quality control. The compiled data contains a set of 41 rainfall stations indicating consistent daily precipitation series from 1950 to 2015. In the analysis of the DPCI across GSMA the techniques of Moran’s Spatial Autocorrelation has been applied. In addition, a cross-covariance method was applied to assess the spatial interdependency between vector-based datasets after performing an Ordinary Kriging interpolation. The results identify four well-recognized intense rainfall development zones: the south coast and topographic areas of the Illawarra district characterized by Tasman Sea coastal regions with DPCI values ranging from 0.61 to 0.63, the western highlands of the Blue Mountains, with values between 0.60 and 0.62, the inland regions, with lowest rainfall concentrations between 0.55 and 0.59, and lastly the districts located inside the GSMA with DPCI ranging 0.60 to 0.61. Such spatial distribution has revealed the rainstorm and severe thunderstorm activity in the area. This study applies the present models to identify the nature and mechanisms underlying the distribution of torrential rains over space within the metropolis of Sydney, and to monitor any changes in the spatial pattern under the warming climate.

Conservation genomics of the ‘Endangered’ long-nosed bandicoot (Perameles nasuta) population at North Head, Sydney, Australia

Wildlife species impacted by habitat loss and fragmentation often require conservation efforts to maintain populations. Long-nosed bandicoots (Perameles nasuta) still persist within the highly urbanised matrix of northern Sydney (Australia). One population at North Head, Sydney, is currently listed as an Endangered population due to its small size, apparent isolation and other threats. To support future management, we used 1,446 single nucleotide polymorphism markers (SNPs) from 167 bandicoots to: i) assess the assumption of isolation and determine if genetic structuring is present between North Head and individuals from 11 other localities in northern Sydney, and ii) investigate genetic diversity over time in the North Head population from 2002 to 2018. Analyses confirmed population structuring and genetic divergence between North Head and greater northern Sydney. Three distinct populations were identified that corresponded to geographic localities (North Head, northern Sydney and Mosman). All populations were significantly differentiated (FST = 0.171–0.345), suggesting local genetic drift between localities. North Head genetic diversity indices estimated between 2002 to 2018 showed relatively constant levels of allelic richness (1.90–2.00) and observed heterozygosity (HO = 0.231–0.310) along with minor levels of inbreeding (FIS 0.020–0.052). The identification of some individuals sampled on North Head that were assigned to other populations suggests some sporadic geneflow into the population has occurred and may have assisted with maintaining genetic diversity. These data suggest that the North Head population is distinct from other northern Sydney populations and has relatively constant levels of genetic diversity.

Development of a heat stress exposure metric – Impact of intensity and duration of exposure to heat on physiological thermal regulation

An innovative bioclimatic metric based on the Universal Thermal Climate Index (UTCI) is developed to quantify human thermal physiological heat stress. The Heat Stress Exposure (HSE) metric includes both duration and intensity dimensions of heat exposure, and in this paper it is applied to the Sydney Australia climatology. Geographic Information Systems (GIS) were used to spatially represent and visualize Sydney's HSE. The first stage of the analysis collated observed meteorological data from 10 weather stations across the Sydney metropolitan region, extending from coastal Sydney to approximately 50 km inland in 2017. The second stage of the analysis integrated the radiative meteorological data into estimates of hourly Mean Radiant Temperature which were then applied to UTCI. In the final stage, a threshold UTCI value of 26 °C was selected for the calculation of HSE, which was then cumulated to represent the duration of heat exposure throughout the year. The difference between each UTCI hourly reading and the 26 °C threshold defined a UTCI exceedance (ΔUTCI; °C). The cumulative total of all ΔUTCI throughout the year defined ∑ΔUTCI in units of degree hours (°C.hr), thereby capturing both intensity and duration of exposure to heat stress. Weather systems driving westerly winds from the Australian continent's central deserts brought the highest HSE to Sydney's inland western suburbs, with values ranging between 4,000–6,000 ∑ΔUTCI (°C.hr). Coastal eastern Sydney experienced considerably lower HSE values ranging from 1,600–3,000 ∑ΔUTCI (°C.hr), reflecting the moderating influences of sea breezes and evaporative cooling.

Privileged information-driven random network based non-iterative integration model for building energy consumption prediction

Accurate building energy consumption (BEC) prediction plays an increasingly significant role in energy control and conservation. However, owing to the high level of randomness of BEC data, acquiring accurate prediction results is difficult. To further enhance the predicted precision and robustness, we herein present a non-iterative decomposition–integration model to realise BEC prediction. Our proposed method merges the ensemble empirical mode decomposition (EEMD), learning using a privileged information (LUPI) paradigm-based random vector functional link network (RVFL+), and support vector regression (SVR) to generate satisfactory results. In this model, EEMD is first adopted for the decomposition of historical energy consumption data. Subsequently, the decomposed subsignals are input into the RVFL+ network, and the features of high correlation with BEC are selected as privileged information to constrain the weight of the output layer of RVFL+ network in order to obtain their corresponding output RVFL+ models of each subsignal. Finally, the resulting RVFL+ output models are aggregated and input into the SVR model to acquire the prediction results, thereby breaking through the limitation of the single-prediction model and improving prediction accuracy. To verify our proposed model, five actual BEC datasets were employed for experiments: Jinan in China, Fairbanks and California in the USA, Vancouver in Canada, and Sydney in Australia. Experiment results indicated that our proposed EEMD-RVFL+-SVR method had better accuracy and anti-noise performance. Specially, the mean absolute percentage error of the proposed method, compared with the EMD-SVR, EEMD-SVR, EEMD-PSO-GA-SVR, EEMD-RVFL, ARIMA-SVM, FLS-SVM, EMD-RVFL+-SVR, CEEMD-RVFL+-SVR, SVR, RVFL, RVFL+, BPNN, and Wavelet neural network, was reduced by 65.07%, 37.20%, 40.61%, 52.27%, 44.66%, 34.76%, 50.01%, 39.06%, 43.04%, 53.77%, 46.38%, 41.82% and 56.14% respectively.

Walkability and Greenness Do Not Walk Together: Investigating Associations between Greenness and Walkability in a Large Metropolitan City Context.

Background: The existing environment literature separately emphasizes the importance of neighborhood walkability and greenness in enhancing health and wellbeing. Thus, a desirable neighborhood should ideally be green and walkable at the same time. Yet, limited research exists on the prevalence of such “sweet spot” neighborhoods. We sought to investigate this question in the context of a large metropolitan city (i.e., Sydney) in Australia. Methods: Using suburb level normalized difference vegetative index (NDVI), percentage urban greenspace, Walk Score® (Walk Score, Seattle, WA, USA), and other data, we explored the global and local relationships of neighborhood-level greenness, urban green space (percent park area) with walkability applying both non-spatial and spatial modeling. Results: We found an overall negative relationship between walkability and greenness (measured as NDVI). Most neighborhoods (represented by suburbs) in Sydney are either walkable or green, but not both. Sweet spot neighborhoods that did exist were green but only somewhat walkable. In addition, many neighborhoods were both less green and somewhat walkable. Moreover, we observed a significant positive relationship between percentage park area and walkability. These results indicate walkability and greenness have inverse and, at best, mixed associations in the Sydney metropolitan area. Conclusions: Our analysis indicates an overall negative relationship between greenness and walkability, with significant local variability. With ongoing efforts towards greening Sydney and improving walkability, more neighborhoods may eventually be transformed into becoming greener and more walkable.

Adaptation of the MAUQ and usability evaluation of a mobile phone–based system to promote eye donation

IntroductionMobile Applications (apps) are commonly used in the health care settings to improve the quality of care, however prior to the release of the app it is vital to evaluate its usability. Therefore, the aim of this study is to adapt the mobile Health App Usability Questionnaire (MAUQ) and measure the usability of the Eye donor Aust App using the modified instrument (m-MAUQ). MethodsThe study was undertaken using a convenience sample of 94 patients and their carers attending three eye clinics and one outpatient department in a large hospital in Sydney Australia. The study was conducted in two phases. Phase 1 involved the adaptation of the MAUQ, and validity testing of the modified version. Phase 2 included the usability evaluation of the Eye donor Aust App using the modified MAUQ (m-MAUQ). ResultsThe m-MAUQ comprised of 15 items and the content validity of the instrument was considered satisfactory. Exploratory factor analysis supported a three-factor structure namely: ease of use and satisfaction (nine items), usefulness in obtaining information (three items), and system information arrangement (three items). The internal consistency for the subscales and the total scale was high with Cronbach's alpha values greater than 0.90. The usability score for the Eye donor Aust App was high (mean 5.99; SD 0.74). The construct validity was supported as there were no differences in usability scores among males and females. Older people found the app less useful for obtaining information about eye donation. ConclusionsThe results support the use of the m-MAUQ as a valid instrument to measure the usability of the Eye Donor Aust App. This instrument requires further testing in other groups of people.Usability testing of the Eye Donor Aust app demonstrated that the participants were satisfied with the content and functionality of the app stating that it was well organised, visually appealing and user friendly. This result could translate into more people using the app and thereby increasing their knowledge and attitude towards eye donation as well as registering to become a donor.

McCaffery (ed.), Sydney Goodsir Smith, Poet: Essays on His Life and Work

McCaffery (ed.), <i>Sydney Goodsir Smith, Poet: Essays on His Life and Work</i>

Quantification and exposure assessment of microplastics in Australian indoor house dust

Limited attention has been given to the presence of MPs in the atmospheric environment, particularly in indoor environments where people spend about 90% of their time. This study quantitatively assesses the prevalence, source and type of MPs in Australian homes with the goal of evaluating human health exposure potential. Thirty-two airborne indoor deposited dust samples were collected in glass Petri dishes from Sydney (Australia) homes, over a one-month period in 2019. Participants completed a questionnaire on their household characteristics. Samples were analysed using a stereomicroscope, a fluorescent microscope and micro-Fourier transform infrared (FTIR) spectroscopy for their colour, size, shape and composition. Inhalation and ingestion rates were modelled using US EPA exposure factors. Microplastic fibre deposition rates ranged from 22 to 6169 fibres/m2/day. Deposited dust comprised 99% fibres. The highest proportion of fibres (19%) were 200–400 μm in length. The majority were natural (42%); 18% were transformed natural-based fibres; and 39% were petrochemical based. A significant difference was observed between the deposition rate and the main floor covering (p-value <0.05). Polyethylene, polyester, polyamide, polyacrylic, and polystyrene fibres were found in higher abundance in homes with carpet as the main floor covering. Where carpet was absent, polyvinyl fibres were the most dominant petrochemical fibre type, indicating the role of flooring materials (e.g. wood varnishes) in determining MP composition. Vacuum cleaner use was significantly related to MP deposition rates (p-value <0.05). MP ingestion rates peaked at 6.1 mg/kg-Bw/year for ages 1–6, falling to a minimum of 0.5 mg/kg-Bw/year in >20 years age group. Mean inhaled MP weight and count was determined to be 0.2±0.07 mg/kg-Bw/year and 12891±4472 fibres/year. Greatest inhalation intake rates were for the <0.5-yr age group, at 0.31 mg/kg-Bw/year. The study data reveal that MPs are prevalent in Australian homes and that the greatest risk of exposure resides with young children. Notwithstanding the limited number of global studies and the different methods used to measure MPs, this study indicates Australian deposition and inhalation rates are at the lower end of the exposure spectrum.

The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia.

In early 2020 from April to early June, the metropolitan area of Sydney as well as the rest of New South Wales (NSW, Australia) experienced a period of lockdown to prevent the spread of COVID-19 virus in the community. The effect of reducing anthropogenic activities including transportation had an impact on the urban environment in terms of air quality which is shown to have improved for a number of pollutants, such as Nitrogen Dioxides (NO2) and Carbon Monoxide (CO), based on monitoring data on the ground and from a satellite. In addition to primary pollutants CO and NOx emitted from mobile sources, PM2.5 (primary and secondary) and secondary Ozone (O3) during the lockdown period will also be analyzed using both statistical methods on air quality data and the modelling method with emission and meteorological data input to an air quality model. By estimating the decrease in traffic volume in the Sydney region, the corresponding decrease in emission input to the Weather Research and Forecasting—Community Multiscale Air Quality Modelling System (WRF-CMAQ) air quality model is then used to estimate the effect of lockdown on the air quality especially CO, NO2, O3, and PM2.5 in the Greater Metropolitan Region (GMR) of Sydney. The results from both statistical and modelling methods show that NO2, CO, and PM2.5 levels decreased during the lockdown, but O3 instead increased. However, the change in the concentration levels are small considering the large reduction of ~30% in traffic volume.

Mycosands: Fungal diversity and abundance in beach sand and recreational waters — Relevance to human health

The goal of most studies published on sand contaminants is to gather and discuss knowledge to avoid faecal contamination of water by run-offs and tide-retractions. Other life forms in the sand, however, are seldom studied but always pointed out as relevant. The Mycosands initiative was created to generate data on fungi in beach sands and waters, of both coastal and freshwater inland bathing sites. A team of medical mycologists and water quality specialists explored the sand culturable mycobiota of 91 bathing sites, and water of 67 of these, spanning from the Atlantic to the Eastern Mediterranean coasts, including the Italian lakes and the Adriatic, Baltic, and Black Seas. Sydney (Australia) was also included in the study. Thirteen countries took part in the initiative. The present study considered several fungal parameters (all fungi, several species of the genus Aspergillus and Candida and the genera themselves, plus other yeasts, allergenic fungi, dematiaceous fungi and dermatophytes). The study considered four variables that the team expected would influence the results of the analytical parameters, such as coast or inland location, urban and non-urban sites, period of the year, geographical proximity and type of sediment. The genera most frequently found were Aspergillus spp., Candida spp., Fusarium spp. and Cryptococcus spp. both in sand and in water. A site-blind median was found to be 89 Colony-Forming Units (CFU) of fungi per gram of sand in coastal and inland freshwaters, with variability between 0 and 6400 CFU/g. For freshwater sites, that number was 201.7 CFU/g (0, 6400 CFU/g (p = 0.01)) and for coastal sites was 76.7 CFU/g (0, 3497.5 CFU/g). For coastal waters and all waters, the median was 0 CFU/ml (0, 1592 CFU/ml) and for freshwaters 6.7 (0, 310.0) CFU/ml (p < 0.001). The results advocate that beaches should be monitored for fungi for safer use and better management.