Evaluation of “Classic” and Emerging Contaminants Resulting from the Application of Biosolids to Agricultural Lands: A Review

The presence of detectable amounts of contaminants in treated sewage sludge (concentrations μg/kg – mg/kg) has led to concerns that land applications of biosolids may result in an accumulation of contaminants in the soil and their subsequent translocation through the food chain. Despite advances in wastewater management (e.g., anaerobic, thermophilic, and mesophilic digestion), many compounds and their metabolites remain intact following treatment. This review looks at the main risk factors relating to the occurrence of “classic” (persistent organic pollutants [POPs]) and emerging pollutants (pharmaceuticals and personal care products) in biosolids. Relevant EU legislation and risk assessment strategies for the control of emerging contaminants are also considered. Organic pollutants regulated under the Stockholm Convention on POPs along with PPCPs were identified as contaminants of concern based on the risk factors: persistence, bioaccumulation, and toxicity (PBT). PPCPs were recognized as being of particular concern as their high transformation/removal rates are compensated by their continuous introduction into the environment. This study highlights the growing concern in relation to emerging contaminants in biosolids and highlights risk assessment strategies that can be used to characterize potential human/environmental risks.     

The environmental impacts of operating an Antarctic research station

We present a life cycle assessment (LCA) of the operation of Casey Station in Antarctica. The LCA included quantifying material and energy flows, modeling of elementary flows, and subsequent environmental impacts. Environmental impacts were dominated by emissions associated with freight operations and electricity cogeneration. A participatory design approach was used to identify options to reduce environmental impacts, which included improving freight efficiency, reducing the temperature setpoint of the living quarters, and installing alternative energy systems. These options were then assessed using LCA, and have the potential to reduce environmental impacts by between 2% and 19.1%, depending on the environmental indicator.     

Modeling of Pathogen Indicator Organisms in a Small-Scale Agricultural Catchment Using SWAT

Degradation of water quality from microbial contaminants associated with agricultural activities has significant implications for source protection of potable water. Novel environmental approaches must be adopted to assess risks from waterborne pathogenic microbes. The objective of this study was to evaluate applicability of the Soil and Water Assessment Tool (SWAT) to predict daily concentrations of E. coli in a small-scale agricultural catchment in Ireland. The study area is based on the Kilshanvey catchment located in the west of Ireland. E. coli data (n = 25) from June 2006 to June 2007 were utilized for comparison with the model's predictions. Statistical analysis indicates an unsatisfactory to fair level of correlation for the model's predictions (R² = 0.03–0.35, NSE = –0.42–0.29). A sensitivity analysis identified direct stream deposition and die-off rates for E. coli as having a significant impact on the model's predictions. Our results suggest that the model is adequate to assess the magnitude of various microbial sources within catchments but capability to replicate daily observations is uncertain. However, model outputs could provide adequate data to develop a human exposure assessment to pathogen indicator organisms in surface water and assist policy-makers in developing appropriate risk management strategies.     

A quantitative risk ranking model to evaluate emerging organic contaminants in biosolid amended land and potential transport to drinking water

A quantitative risk ranking model was developed for human exposure to emerging contaminants (EC) following treated municipal sewage sludge (“biosolids”) application to Irish agricultural land. The model encompasses the predicted environmental concentration (PEC) in soil, surface runoff, groundwater, and subsequent drinking water ingestion by humans. Human exposure and subsequent risk was estimated for 16 organic contaminants using a Monte Carlo simulation approach. Nonylphenols ranked the highest across three environmental compartments: concentration in soil (PEC_soil), runoff (PEC_runoff), and groundwater (PEC_groundwater), which had mean values of 5.69 mg/kg, 1.15 × 10^?2 µg/l, and 2.22 × 10^?1 µg/l, respectively. Human health risk was estimated using the LC₅₀ (chemical intake toxicity ratio, (RR)) as a toxicity endpoint combined with PEC_runoff and PEC_groundwater. NP ranked highest for LC₅₀ combined with PEC_runoff and PEC_groundwater (mean RR values 1.10 × 10^?4 and 2.40 × 10^?3, respectively). The model highlighted triclocarban and triclosan as ECs requiring further investigation. A sensitivity analysis revealed that soil sorption coefficient and soil organic carbon were the most important parameters that affected model variance (correlation coefficient –0.89 and –0.30, respectively), highlighting the significance of contaminant and soil properties in influencing risk assessments. This model can help to prioritize emerging contaminants of concern requiring vigilance in environmental compartments.     

Development of an environmental impact reduction strategy for Australia's Antarctic infrastructure

In this article, we first describe aspects of the environmental impact reduction strategy that was developed in conjunction with a life cycle assessment undertaken for the operations necessary to support Australia's largest Antarctic research station, Casey Station. The article then identifies future research and operational improvement opportunities for the Australian Antarctic Division, who is responsible for Australia's presence in Antarctica. These insights are mapped against knowledge, treaties, plans, and policies framing how the Australian Antarctic Division operates on the southern continent, making operational planning from the strategy relevant and actionable. The article concludes by posing recommendations, for future environmental management practice, that cover making improvements to data quality collection, undertaking a strategic approach, utilizing a new ice breaker, and facilitating behavior change via engagement and active support of staff.     

Groundwater Vulnerability Assessment of Plant Protection Products: A Review

Plant protection products (PPPs) pose a serious dilemma; although their application contributes to the fight against poverty and diseases, at the same time these agrochemicals represent a significant public health threat. As part of Ireland's commitment to the Water Framework Directive (WFD), the country's groundwater sources and resources have to be properly monitored and specific standards in groundwater quality need to be met. Vulnerability assessment is a methodology that evaluates the likelihood of an adverse event occurring and this information can be useful for pollution prevention and decision-making purposes. The objective of this article is to review and compare the most important vulnerability assessment methods and tools that have been used in catchment/regional scale studies. While the approach used is largely dependent on available data, user requirements, and local conditions, the evaluation showed that the COP and PI index-based methods and the MACRO and PRZM process-based methods represent the most advanced tools currently available for large-scale applications. Also discussed is the importance of statistical methods for uncertainty analysis and their usefulness in reducing the data requirements of the index and process-based methods.     

Assessing the Effects of Climate Change on Waterborne Microorganisms: Implications for EU and U.S. Water Policy

Despite advances in water treatment, outbreaks of waterborne diseases still occur in developed regions including the United States and Europe Union (EU). Water quality impairments attributable to elevated concentrations of fecal indicator bacteria, and associated with health risk, are also very common. Research suggests that the impact of such microorganisms on public health may be intensified by the effects of climate change. At present, the major regulatory frameworks in these regions (i.e., the US Clean Water Act [CWA] and the EU Water Framework Directive [WFD]), do not explicitly address risks posed by climate change. This article reviews existing U.S. and EU water quality regulatory legislation for robustness to climate change and suggests watershed modeling approaches to inform additional pollution control measures given the likely impacts on microbial fate and transport. Comprehensive analysis of future climate and water quality scenarios may only be achievable through the use of watershed-scale models. Unless adaptation measures are generated and incorporated into water policy, the potential threat posed to humans from exposure to waterborne pathogens may be amplified. Such adaptation measures will assist in achieving the aims of the EU WFD and US CWA and minimize impacts of climate change on microbial water quality.     

Use of Meta-Analysis to Assess the Effect of Conventional Water Treatment Methods on the Prevalence of Cryptosporidium Spp. in Drinking Water

Meta-analysis is defined as the statistical analysis of a collection of analytic results for the purpose of integrating the findings. However, its use in environmental and agricultural health protection has been minor in research to date. Few meta-analysis studies have been applied to assess factors relating to Cryptosporidium but none have examined the effect of conventional water treatment on oocyst prevalence. The objective of this study was to synthesize past scientific research and analyze the effects of conventional water treatment methods on the prevalence of Cryptosporidium in drinking water using a traditional parametric approach of meta-analysis. Twenty-three different published studies featuring 27 separate water treatment surveys were identified for inclusion in the meta-analysis. The meta-analysis indicated that general conventional water treatment methods reduced Cryptosporidium occurrence in drinking water by an average factor of ～11.82 (95% CI = 2.7–52.5). Results highlight the resistance of the pathogen to such treatment methods and emphasize the parasites standing as a waterborne pathogen of primary concern given the possibility of viable oocyst occurrence in water, post treatment. Consequently, findings accentuate the need for new approaches to the control of Cryptosporidium aimed at integrated catchment management, source protection, and also including new treatment technologies. Until such approaches are actively adopted the potential risk posed to consumers by pathogens in potable water will remain active.