OPAL Community Environment Report

The Open Air Laboratories network, or OPAL, as it quickly became known, was launched in 2007 following a successful application to the Big Lottery Fund It was the first time that Big Lottery funding on this scale had been awarded to academic institutions. The University of Central Lancashire led by Dr Mark Toogood was responsible for understanding public engagement with OPAL. The Open Air Laboratories (OPAL)network is a nationwide partnership comprising of ten universities and five organisations with grants awarded totalling £14.4 million. • Over half a million people have participated in the OPAL programme. OPAL activities are carried out by people of all ages, backgrounds and abilities, including 10,000 people in ‘hard to reach’ communities. • OPAL opens people’s eyes to the natural world. Nearly half (44%) of OPAL survey participants said that this was the first time that they had carried out a nature survey. 90% of participants have learnt something new. • OPAL has the ability to change people’s behaviour. Almost half (43%) of respondents said OPAL had changed the way they thought about the environment and more than a third (37%) said they will change their behaviour towards it. • In addition to raising environmental awareness, OPAL also improves personal well-being by motivating people to spend time outdoors doing something positive, while connecting with people and nature

Evaporated Liquid Nitrogen-Induced Asphyxia: A Case Report

A 27-yr-old postgraduate student was found lying at the floor of an unsealed underground dry area, where a valve-opened empty cylinder of liquid nitrogen (150 L) was connected to a cap-removed empty Dewar-flask (10 L) via a copper infusion tube. No injury was found externally or internally. There were petechiae in the bilateral conjunctivae and periorbital skin. The dry area, measuring 300×130×260 cm, had a communication to the basement of the research building by a window measuring 90×60 cm in size at 130 cm above the floor. The scene reconstruction and atmosphere gas analysis revealed that the O2 concentration at 60 cm above the base dropped to 12.0% in 3 min and 10 sec, 10.0% in 8 min and 53 sec, 6.0% in 18 min and 40 sec, and 4.2% in 20 min and 28 sec. The primary cause of death was asphyxia by evaporated liquid nitrogen

Summertime temperatures and thermal comfort in UK homes

This is an Author's Accepted Manuscript of an article published in Building Research and Information [copyright Taylor & Francis], available online at: http://www.tandfonline.com/10.1080/09613218.2013.757886Internal summertime temperatures measured in 268 homes in the UK city of Leicester are reported. The hourly data was collected from living rooms and bedrooms during the summer of 2009, which was generally cool but with a short hot spell. Some household interviews were conducted. The sample of homes is statistically representative of the socio-technical characteristics of the city’s housing stock. The data provides insight into the influence of house construction, energy system usage and occupant characteristics on the incidence of elevated temperatures and thermal discomfort. The warmest homes were amongst the 13% that were heated. Significantly more of these were occupied by those over 70 who are particularly vulnerable to high temperatures. The national heatwave plan might usefully caution against summertime heating. Temperatures in the 230 free-running homes were analysed using both static criteria and criteria associated with the BSEN15251 adaptive thermal comfort model. These indicated that that flats tended to be significantly warmer than other house types. Solid wall homes and detached houses tended to be significantly cooler. It is argued that adaptive criteria provide a valuable and credible framework for assessing internal temperatures in free-running UK homes. However, the temperatures in the Leicester homes were much lower than anticipated by the BSEN15251 model. Numerous possible reasons for this discrepancy are discussed

Life cycle assessment (LCA) and life cycle costing (LCC) of road drainage systems for sustainability evaluation:Quantifying the contribution of different life cycle phases

Previous Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) studies on urban drainage systems only included construction materials in the system inventories. The present study aims to suggest an LCA and LCC method that for the first time, considers the inventories from four main phases in the life cycle impact assessment, including extraction of aggregates and production of construction blocks, transportation, construction, civil work and finally maintenance and end-of-life. LCA and LCC were carried out for 10 drainage systems including filter drains, infiltration trenches, soakaways, permeable pavement, infiltration basin, wetland, retention ponds, swales, filter strip, kerb and gully. Results showed that normalisation of environmental impacts and costs to drainage system size (length or area) was more appropriate for drainage systems with higher flow rate capacities (e.g., kerb and gully). However, drainage systems with low flow rate capacities that were designed to store runoff, required normalisation of environmental impacts and costs to storage capacity. The environmental impacts associated with urban drainage systems that needed considerable amounts of virgin aggregates (e.g., filter drains) were higher than those with limited construction material (e.g., swales). Transportation of materials and construction civil works had a larger contribution in life cycle inventories and associated environmental impacts in drainage systems with higher demand for materials. The lowest environmental impacts and life cycle costing were from swales, wetland and retention pond. Uncertainty assessment revealed that drainage systems with extensive application of materials and civil work had more negative impacts on human health, ecosystems and resources

Mobility justice in low carbon energy transitions

Mobility systems raise multiple questions of justice. Work on mobility justice and policy often treats different elements of the debate separately, for example focussing on environmental justice or accessibility. This is problematic as it can privilege policy solutions without a full view of the winners and losers and the values implicit in that. Using analysis of current policy, we investigate how mobility justice can reconcile its different components, and find two major consequences. First, is doubt about the justice of the existing policy approach which tries to tackle transport pollution primarily through a shift to low emission vehicles. This approach privileges those with access to private vehicles and further privileges certain sets of activities. Second is a need to reassess which basic normative ideas should be applied in mobility justice. Work on mobility justice has tended to appeal to conceptions of justice concerned with access to resources including resources enabling mobility. These conceptions say little about how resources should be used. We show that avoiding stark inequalities means collectively thinking about how resources are used, about how we value activities involving mobility, and about what sorts of goods and services we create

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike’s information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease ris

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike's information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk.Peer reviewe

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike’s information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk