Risk assessments for quality-assured, source-segregated composts and anaerobic digestates for a circular bioeconomy in the UK.

A circular economy relies on demonstrating the quality and environmental safety of wastes that are recovered and reused as products. Policy-level risk assessments, using generalised exposure scenarios, and informed by stakeholder communities have been used to appraise the acceptability of necessary changes to legislation, allowing wastes to be valued, reused and marketed. Through an extensive risk assessment exercise, summarised in this paper, we explore the burden of proof required to offer safety assurance to consumer and brand-sensitive food sectors in light of attempts to declassify, as wastes, quality-assured, source-segregated compost and anaerobic digestate products in the United Kingdom. We report the residual microbiological and chemical risks estimated for both products in land application scenarios and discuss these in the context of an emerging UK bioeconomy worth £52bn per annum. Using plausible worst case assumptions, as demanded by the quality food sector, risk estimates and hazard quotients were estimated to be low or negligible. For example, the human health risk of E. coli 0157 illness from exposure to microbial residuals in quality-assured composts, through a ready-to-eat vegetable consumption exposure route, was estimated at ~10-8 per person per annum. For anaerobic digestion residues, 7 × 10-3cases of E. coli 0157 were estimated per annum, a potential contribution of 0.0007% of total UK cases. Hazard quotients for potential chemical contaminants in both products were insufficient in magnitude to merit detailed quantitative risk assessments. Stakeholder engagement and expert review was also a substantive feature of this study. We conclude that quality-assured, source-segregated products applied to land, under UK quality protocols and waste processing standards, pose negligible risks to human, animal, environmental and crop receptors, providing that risk management controls set within the standards and protocols are adhered to.

Predicting Aspergillus fumigatus exposure from composting facilities using a dispersion model: A conditional calibration and validation.

Bioaerosols are released in elevated quantities from composting facilities and are associated with negative health effects, although dose-response relationships are unclear. Exposure levels are difficult to quantify as established sampling methods are costly, time-consuming and current data provide limited temporal and spatial information. Confidence in dispersion model outputs in this context would be advantageous to provide a more detailed exposure assessment. We present the calibration and validation of a recognised atmospheric dispersion model (ADMS) for bioaerosol exposure assessments. The model was calibrated by a trial and error optimisation of observed Aspergillus fumigatus concentrations at different locations around a composting site. Validation was performed using a second dataset of measured concentrations for a different site. The best fit between modelled and measured data was achieved when emissions were represented as a single area source, with a temperature of 29°C. Predicted bioaerosol concentrations were within an order of magnitude of measured values (1000-10,000CFU/m3) at the validation site, once minor adjustments were made to reflect local differences between the sites (r2>0.7 at 150, 300, 500 and 600m downwind of source). Results suggest that calibrated dispersion modelling can be applied to make reasonable predictions of bioaerosol exposures at multiple sites and may be used to inform site regulation and operational management.

Exploring the potential of Product Service Systems to achieve household waste prevention on new housing developments in the UK.

Product service systems (PSS) are cleaner product concepts which have been developed to achieve improvements in resource productivity which may be realized from modern trends in service delivery. However, there is a paucity of research on the waste prevention performance of PSS in UK household markets. This paper reports the findings of exploratory research which begins to address this gap in knowledge. An exploratory waste prevention assessment was completed on four experimental PSS which were developed in conjunction with a major UK house-builder for delivery on their new housing developments. The results of the assessment show that the selected PSS concepts have potential to prevent high value and harmful Waste Electrical and Electronic Equipment (WEEE) arising in UK household waste streams. Consistent with the canon of exploratory research, the assessment also identifies a number of factors which are thought to influence PSS waste prevention performance. It is recognized that further research is needed to gain an in-depth understanding of these factors as well as to define policy measures which enable the conditions in which PSS prevent household waste on new housing developments in the UK to be created.

Community modelling: a tool for correlating estimates of exposure with perception of odour from municipal solid waste (MSW) landfills.

Odours from municipal solid waste landfills have the potential to cause significant annoyance and impact to amenity in the environment surrounding sites. In order to assess the impact of odorous emissions on surrounding communities a quantitative model to predict annoyance was developed. The overall objective of this research was to develop the major components of the model namely, assessment of odorous emissions, dispersion and reception by the surrounding community around the landfill site. This study used community modelling as a tool to find a link between dispersion and perception of odour. The research completed a year-round monitoring program engaging people within the local community as regular odour monitors. Estimates of exposure from dispersion analysis were used to compare incidents causing complaint and intensity-concentration plots were fitted for each monitor whose reports were found to be logically consistent with regard to the intensity scaling. Human responses to the vast range of odour intensities, from highly intense source odours through to less intense dispersed odours at monitors' locations, were found to differ greatly. It was observed that the psychophysical models based on the Weber-Fechner law and Power law fitted the data consistently well for the entire range of the intensity scale used, 1-7. However, the other two models, based on Beidler's law and Laffort's equation showed an inconsistency with the intensity scales >3.