Simulation and Field Campaign Evaluation of an Optical Particle Counter on a Fixed-Wing UAV

Unmanned aerial vehicles (UAVs) have great potential to be utilised as an airborne platform for measurement of atmospheric particulates and droplets. In particular, the spatio-temporal resolution of UAV measurements could be of use for the characterisation of aerosol, cloud, and radiation (ACR) interactions, which contribute to the largest uncertainty in the radiative forcing of climate change throughout the industrial era (Zelinka et al., 2014). Due to the infancy of the technique however, UAV-instrument combinations must be extensively validated to ensure the data is of high accuracy and reliability. This paper presents an evaluation of a particular UAV-instrument combination: the FMI-Talon fixed-wing UAV and the UCASS open-path optical particle counter. The performance of the UCASS was previously evaluated on a multi-rotor airframe by Girdwood et al. (2020). However, fixed-wing measurements present certain advantages—namely endurance, platform stability, and maximum altitude. Airflow simulations were utilised to define limiting parameters on UAV sampling—that is, an angle of attack limit of 10° and a minimum airspeed of 20 ms−1—which were then applied retroactively to field campaign data as rejection criteria. The field campaign involved an inter-comparison with reference instrumentation mounted on a research station, which the UAV flew past through stratus cloud. The effective diameter measured by the UAV largely agreed within 2 μm. The droplet number concentration agreed within 15 % on all but 5 profiles. It was concluded that UCASS would benefit from a mechanical redesign to avoid calibration drifts, and UAV attitude variations during measurement should be kept to a minimum.

Understanding a population: A methodology for a population-based coastal safety survey

Drowning is a global public health problem, but accurately estimating drowning risk remains a challenge. Coastal drowning comprises a significant proportion of the drowning burden in Australia and is influenced by a range of behavioural factors (e.g. risk perception, knowledge, attitudes and behaviours) that are poorly understood. These factors, along with those that impact exposure (e.g. coastal visitation and activity participation) all impact on drowning risk. While excellent mortality and morbidity data exists in Australia, a lack of coastal participation data presents challenges to identifying high-risk groups or activities and prioritising prevention efforts. This methods paper describes the development and evolution of an ongoing, annual, nationally representative online survey as an effective tool used to capture valuable data about the Australian population’s relationship with the coast. This paper explores how the survey is structured (12–14 sections spanning multiple topics and themes), the different question types used (including open text, 4-digit responses and categorical questions), the sample size (1400–1600 respondents), sampling strategy (using demographic quota sampling which can then be post-weighted to the population if required) and how topics and themes have changed over time to enhance the quality of data collected (i.e., wording changes to enhance participant comprehension or data usability and changing issue-specific ‘feature’ topics of interest such as campaign evaluation). How the survey is implemented online is described, both practically through to third-party recruitment processes and ethically to maximise anonymity of respondents and ensure data quality. Interim analyses indicate the impact of considering exposure when calculating fatal drowning rates, especially by activity (e.g., crude boating drowning rate 0.12 per 100,000 population vs 0.95 per 100,000 exposed population [relative risk = 8.01; 95% confidence interval: 4.55–14.10]). This study highlights lessons learned in the process of conducting a nationally representative coastal participation survey as well as the strengths and limitations of adopting this approach. Data collected will provide more detailed information on the skills, behaviours, knowledge and attitudes of coastal activity participants. Analyses of this unique dataset will inform research that will underpin development and evaluation of coastal drowning prevention initiatives prioritising those most at risk. It is hoped that the methods detailed within this study may be useful for other countries to develop similar approaches to understanding their own population.

Early evidence of the associations between an anti-e-cigarette mass media campaign and e-cigarette knowledge and attitudes: results from a cross-sectional study of youth and young adults

ObjectiveAntismoking mass media campaigns have contributed to significant declines in combustible tobacco use among young people. This study evaluates a national anti-e-cigarette campaign to determine its association with knowledge, attitudes and beliefs in the context of increasing e-cigarette use in the USA.MethodsA national sample of respondents aged 15–24 years (n=8421) was drawn from a repeated cross-sectional online panel survey (220 participants/week) (October 2018 to December 2019). Self-reported exposure to the truth anti-e-cigarette campaign was measured according to level of ad awareness. Outcomes were subjective knowledge of campaign-targeted facts about e-cigarettes and attitudinal constructs about perceived e-cigarette harm, social unacceptability and anti-industry sentiments. Covariates included respondent demographics, current e-cigarette use and cigarette use, parental smoking, sensation seeking, mental health and growth in e-cigarette sales.ResultsAd awareness was associated with knowledge that e-cigarette users are more likely to start smoking (low OR: 1.28, 95% CI 1.14 to 1.44; high OR: 1.88, 95% CI 1.66 to 2.13) and of the nicotine content of JUUL compared with cigarettes (low OR: 1.63, 95% CI 1.45 to 1.82; high OR: 2.50, 95% CI 2.21 to 2.84). High ad awareness was associated with knowledge that the long-term health effects of JUUL use are unknown (OR: 1.88, 95% CI 1.57 to 2.28). High ad awareness was associated with significantly higher perceived product harm (OR: 1.35, 95% CI 1.18 to 1.54), social unacceptability (OR: 1.32, 95% CI 1.15 to 1.53) and anti-industry attitudes (OR: 1.40, 95% CI 1.21 to 1.62), compared with respondents with no awareness.ConclusionsYoung people with awareness of anti-e-cigarette ads demonstrate higher levels of campaign-targeted knowledge, attitudes and beliefs. Future campaign evaluation priorities include measuring the campaign effects on e-cigarette use behaviours.

Perceived Exposure and Acceptance Model of Appearance-Related Health Campaigns: Roles of Parents’ Healthy-Appearance Talk, Self-Objectification, and Interpersonal Conversations

Excessive focus on appearance or lookism requires social attention as it can have negative consequences on individuals’ psychological and mental states related to health and sustainable social practice. As part of a healthy and sustainable social practice, this study tests the mechanism of enhancing appearance-related health campaign’s effectiveness through the O1-S-O2-R framework. Participants were 220 Korean college students with being 141 male and 78 female and they completed an on-line survey. The result of SEM analyses confirmed the O1-S-O2-R model. As the result of hypotheses testing, health campaign contents suggesting anti-lookism and diverse beauty standards have attracted the attention of people whose parents conversed using relatively less healthy-appearance talk when growing up and who had higher self-objectification scores with body surveillance and body shame. Interpersonal conversations and thoughts on the media content played a mediating role in the model, while health campaigns had a higher persuasive effect on campaign evaluation and the behavior intention of spreading the campaign’s content. Implications of the findings were discussed regarding health campaign designers and individuals, including parents, in education settings.

Microphysical Processes Producing High Ice Water Contents (HIWCs) in Tropical Convective Clouds during the HAIC-HIWC Field Campaign: Evaluation of Simulations Using Bulk Microphysical Schemes

Regions with high ice water content (HIWC), composed of mainly small ice crystals, frequently occur over convective clouds in the tropics. Such regions can have median mass diameters (MMDs)

Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring

This article presents a long-term evaluation of low-cost particulate matter (PM) sensors in a field measurements campaign. Evaluation was performed in two phases. During the first five months of the campaign, two PM sensors were simultaneously compared with the results from the reference air quality monitoring station in various atmospheric conditions—from the days with freezing cold (minimum temperature below −10 °C) and high relative humidity (up to 95%) to the days with the maximum temperature above 30 °C and low relative humidity (at the level of 25%). Based on the PM10 measurements, the correlation coefficients for both devices in relation to the reference station were determined (r = 0.91 and r = 0.94, respectively), as well as the impact of temperature and relative humidity on measurements from the low-cost sensors in relation to the reference values. The correction function was formulated based on this large set of low-cost PM10 measurements and referential values. The effectiveness of the corrective function was verified during the second measurement campaign carried out in the city of Nowy Sącz (located in southern Poland) for the same five months in the following year. The absolute values of the long-term percentage errors obtained after adjustment were reduced to a maximum of about 20%, and the average percentage errors were usually around 10%.