STEM@1000mph: developing open educational resources in a live engineering project

Higher education institutions are recognising the clear benefits of open educational resources, and academics are engaging with the development of these resources. This paper presents a case study of OERs being developed using the live, current BloodhoundSSC world land speed record project as a basis. The paper outlines the rationale for the BloodhoundSSC project and its focus on educational engagement across the age spectrum. The work undertaken to develop a web-based repository along with activities to stimulate academic and student engagement are described. The paper explores how academics have engaged with developing OERs based on this openly available content, the issues encountered and ways in which these issues can be mitigated

Game-Based Learning in Engineering Education

The new generation of undergraduates entering UK higher education have grown up with computer games of ever increasing sophistication. In this educational project a race game, Racing Academy, was developed to investigate how game technology and gaming communities could enhance undergraduate engineering education. The computer game embodied the principles of engineering dynamics to simulate and display in real time a car drag race in which students ‘designed’ their car by selecting an engine, tyres and gearbox from a set menu. The aim was to complete a set course in the minimum time and graphically display the dynamic performance in order to better understand the engineering system. The students and staff involved in this project provided extensive feedback on the exercise and identified the visual nature of game-based learning software as a positive feature that helped illustrate engineering dynamics. Game-based learning communities, organised around tutor groups, were seen as an excellent way of encouraging an element of competition in a small non-threatening environment while discussion forums based around Moodle provided efficient support for the large group of 160 students. Finally, learning through ‘doing’ in a game environment was proven to be a successful method of illustrating physical phenomena

MARV: Marine Autonomous Research Vessel

Conducting hydrologic research in remote areas is currently performed manually, making it a labor intensive and inaccurate solution. Due to the size, weight, and cost of automated solutions on the market today, a need has arisen for a low cost, highly portable, autonomous solution. Working closely with Santa Clara University’s Robotics Systems Lab (RSL), our team has developed a low cost, highly portable autonomous marine research vessel named MARV (Marine Autonomous Research Vessel). It is an autonomous surface platform where scientists outfit the vessel with their own data acquisition equipment. The mechanical chassis is collapsible for modes of remote transportation (i.e. helicopter, small trucks, backpacking). With a final weight of 25 kilograms, material cost of $4,482, and a cross track error of ±1 meter, we have successfully designed and manufactured low cost, highly portable autonomous solution. However, MARV does not operate on an adaptive navigation system. Further developments such as object avoidance and depth control would result in a fully autonomous marine platform

The challenges, uncertainties and opportunities of bioaerosol dispersion modelling from open composting facilities

Bioaerosols are ubiquitous organic particles that comprise viruses, bacteria and coarser fractions of organic matter. Known to adversely affect human health, the impact of bioaerosols on a population often manifests as outbreaks of illnesses such as Legionnaires Disease and Q fever, although the concentrations and environmental conditions in which these impacts occur are not well understood. Bioaerosol concentrations vary from source to source, but specific human activities such as water treatment, intensive agriculture and composting facilitate the generation of bioaerosol concentrations many times higher than natural background levels. Bioaerosols are not considered ‘traditional’ pollutants in the same way as PM10, PM2.5, and gases such as NO2, and consequently dispersion models do not include a bespoke method for their assessment. As identified in previous studies, priority areas for improving the robustness of these dispersion models include: 1) the development of bespoke monitoring studies designed to generate accurate modelling input data; 2) the publication of a robust emissions inventory; 3) a code of practice to provide guidelines for consistent bioaerosol modelling practices; and 4) a greater understanding of background bioaerosol emissions. The aim of this research project, funded by the Natural Environmental Research Council (NERC), is to address these key areas through a better understanding of the generation, concentration and potential dispersion of bioaerosols from intensive agricultural and biowaste facilities, using case studies developed at specific locations within the UK. The objective is to further refine existing bioaerosol monitoring and modelling guidelines to provide a more robust framework for regulating authorities and site operators. This contribution outlines the gaps that hinder robust dispersion modelling, and describes the on-site bioaerosol data collection methods used in the study, explaining how they might be used to close these gaps. Examples of bioaerosol dispersion modelled using ADMS 5 are presented and discussed

Crop-share leases in Missouri

"Original authors: Joe Parcell, Ray Massey and David Reinbott"--Page 4."Producers expand their base of operations by purchasing or renting additional land. Some producers may prefer leasing farmland as opposed to purchasing due to a lack of capital, to reserve capital for other purposes, a shortage of land for sale, or the personal belief that leasing farmland is more profitable than owning it. The three most common types of farmland lease agreements in Missouri are cash rentals, flexible-cash leases and crop-share leases. This guide presents information on crop-share leases."--First page.Revised by Ben Brown (Senior Research Associate, Agriculture Business and Policy Extension), Drew Kientzy (Student Research Assistant). Original authors: Joe Parcell, Ray Massey and David Reinbott.Includes bibliographical reference

Towards improved bioaerosol model validation and verification

Bioaerosols, comprised of bacteria, fungi and viruses are ubiquitous in ambient air. Known to adversely affect human health, the impact of bioaerosols on a population often manifests as outbreaks of illnesses such as Legionnaires Disease and Q fever, although the concentrations and environmental conditions in which these impacts occur are not well understood. Bioaerosol concentrations vary from source to source, but specific industrialised human activities such as water treatment, intensive agriculture and open windrow composting facilitate the generation of bioaerosol concentrations many times higher than natural background levels. Bioaerosol sampling is currently undertaken according to the requirements of the Environment Agency’s regulatory framework, in which the collection of bioaerosols and not its long-term measurement is of most importance. As a consequence, sampling devices are often moved around site according to changing wind direction and sampling intervals are invariably short-term. The dispersion modelling of bioaerosols from composting facilities typically relies on proxy pollutant parameters. In addition, the use of short term emission data gathering strategies in which monitors are moved frequently with wind direction, do not provide a robust reliable and repeatable dataset by which to validate any modelling or to verify its performance. New sampling methods such as the Spectral Intensity Bioaerosol Sensor (SIBS) provide an opportunity to address several gaps in bioaerosol model validation and verification. In the context of model validation, this paper sets out the current weaknesses in bioaerosol monitoring from the perspective of robust modelling requirements

Sensitivity of Stratospheric Geoengineering with Black Carbon to Aerosol Size and Altitude of Injection

Simulations of stratospheric geoengineering with black carbon (BC) aerosols using a general circulation model with fixed sea surface temperatures show that the climate effects strongly depend on aerosol size and altitude of injection. 1 Tg BC/a injected into the lower stratosphere would cause little surface cooling for large radii but a large amount of surface cooling for small radii and stratospheric warming of over 60 C. With the exception of small particles, increasing the altitude of injection increases surface cooling and stratospheric warming. Stratospheric warming causes global ozone loss by up to 50% in the small radius case. The Antarctic shows less ozone loss due to reduction of polar stratospheric clouds, but strong circumpolar winds would enhance the Arctic ozone hole. Using diesel fuel to produce the aerosols is likely prohibitively expensive and infeasible. Although studying an absorbing aerosol is a useful counterpart to previous studies involving sulfate aerosols, black carbon geoengineering likely carries too many risks to make it a viable option for deployment

Sources of Airborne Endotoxins in Ambient Air and Exposure of Nearby Communities—A Review

Endotoxin is a bioaerosol component that is known to cause respiratory effects in exposed populations. To date, most research focused on occupational exposure, whilst much less is known about the impact of emissions from industrial operations on downwind endotoxin concentrations. A review of the literature was undertaken, identifying studies that reported endotoxin concentrations in both ambient environments and around sources with high endotoxin emissions. Ambient endotoxin concentrations in both rural and urban areas are generally below 10 endotoxin units (EU) m−3; however, around significant sources such as compost facilities, farms, and wastewater treatment plants, endotoxin concentrations regularly exceeded 100 EU m−3. However, this is affected by a range of factors including sampling approach, equipment, and duration. Reported downwind measurements of endotoxin demonstrate that endotoxin concentrations can remain above upwind concentrations. The evaluation of reported data is complicated due to a wide range of different parameters including sampling approaches, temperature, and site activity, demonstrating the need for a standardised methodology and improved guidance. Thorough characterisation of ambient endotoxin levels and modelling of endotoxin from pollution sources is needed to help inform future policy and support a robust health-based risk assessment process

A Controlled Study on the Characterisation of Bioaerosols Emissions from Compost

Bioaerosol emissions arising from biowaste treatment are an issue of public concern. To better characterise the bioaerosols, and to assess a range of measurement methods, we aerosolised green waste compost under controlled conditions. Viable and non-viable Andersen samplers, cyclone samplers and a real time bioaerosol detection system (Spectral Intensity Bioaerosol Sensor (SIBS)) were deployed simultaneously. The number-weighted fraction of fluorescent particles was in the range 22–26% of all particles for low and high emission scenarios. Overall fluorescence spectral profiles seen by the SIBS exhibited several peaks across the 16 wavelength bands from 298 to 735 nm. The size-fractionated endotoxin profile showed most endotoxin resided in the 2.1–9 μm aerodynamic diameter fraction, though up to 27% was found in a finer size fraction. A range of microorganisms were detected through culture, Matrix Assisted Laser Desorption and Ionisation Time of Flight Mass Spectrometry (MALDI-TOF) and quantitative polymerase chain reaction (qPCR), including Legionella pneumophila serogroup 1. These findings contribute to our knowledge of the physico-chemical and biological characteristics of bioaerosols from composting sites, as well as informing future monitoring approaches and data interpretation for bioaerosol measurement