EPA Victoria

Melbourne, Australia

EPA Victoria

Melbourne, Australia
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Kefford B.J.,RMIT University | Kefford B.J.,University of Technology, Sydney | Marchant R.,Museum of Victoria | Schafer R.B.,RMIT University | And 3 more authors.
Environmental Pollution | Year: 2011

The risk of chemicals for ecological communities is often forecast with species sensitivity distributions (SSDs) which are used to predict the concentration which will protect p% of species (PC p value). However, at the PC p value, species richness in nature would not necessary be p% less than at uncontaminated sites. The definition of species richness inherent to SSDs (contaminant category richness) contrasts with species richness typically measured in most field studies (point richness). We determine, for salinity in eastern Australia, whether these definitions of stream macroinvertebrate species richness are commensurable. There were strong relationships (r 2 ≥ 0.87) between mean point species, family and Ephemeroptera, Trichoptera and Plecoptera species richness and their respective contamination category richness. Despite differences in the definition of richness used by SSDs and field biomonitoring, their results in terms of relative species loss from salinity in south-east Australia are similar. We conclude that in our system both definitions are commensurable. © 2010 Elsevier Ltd. All rights reserved.


Lintern A.,Monash University | Anderson M.,Monash University | Leahy P.,EPA Victoria | Deletic A.,Monash University | McCarthy D.,Monash University
Water Science and Technology | Year: 2016

When assigning site-specific restoration targets for deteriorating aquatic systems, it is necessary to have an understanding of the undisturbed or background state of the system. However, the sitespecific characteristics of aquatic systems prior to disturbance are mostly unknown, due to the lack of historical water and sediment quality data. This study aims to introduce a method for filling this gap in our understanding, using dated sediment cores from the beds of aquatic environments. We used Bolin Billabong, a floodplain lake of the Yarra River (South-East Australia), as a case study to demonstrate the application of this method. We identified the concentrations of aluminium, cadmium, chromium, copper, iron, lead, manganese, nickel, tin and zinc at 8 cm intervals through the sediment core. This showed that aluminium, chromium, copper, iron, lead, nickel, tin and zinc concentrations in Bolin Billabong sediments significantly increased after European settlement in the river catchment in the mid-19th century. The differences between current Australian sediment quality guidelines trigger values and the background metal concentrations in Bolin Billabong sediments underscore the value of using locally relevant background toxicant concentrations when setting water and sediment quality targets. © 2016 IWA Publishing.


PubMed | Monash University and EPA Victoria
Type: Journal Article | Journal: Water science and technology : a journal of the International Association on Water Pollution Research | Year: 2016

When assigning site-specific restoration targets for deteriorating aquatic systems, it is necessary to have an understanding of the undisturbed or background state of the system. However, the site-specific characteristics of aquatic systems prior to disturbance are mostly unknown, due to the lack of historical water and sediment quality data. This study aims to introduce a method for filling this gap in our understanding, using dated sediment cores from the beds of aquatic environments. We used Bolin Billabong, a floodplain lake of the Yarra River (South-East Australia), as a case study to demonstrate the application of this method. We identified the concentrations of aluminium, cadmium, chromium, copper, iron, lead, manganese, nickel, tin and zinc at 8 cm intervals through the sediment core. This showed that aluminium, chromium, copper, iron, lead, nickel, tin and zinc concentrations in Bolin Billabong sediments significantly increased after European settlement in the river catchment in the mid-19th century. The differences between current Australian sediment quality guidelines trigger values and the background metal concentrations in Bolin Billabong sediments underscore the value of using locally relevant background toxicant concentrations when setting water and sediment quality targets.


Kefford B.J.,University of Technology, Sydney | chafer R.B.,University of Koblenz-Landau | Metzeling L.,EPA Victoria
Science of the Total Environment | Year: 2012

Ecological risk assessments mostly consider measures of community composition (structure) across large spatial scales. These assessments, using species sensitivity distributions (SSDs) or the relative species retention (RSR), may not be protective of ecosystem functions and services at smaller spatial scales. Here we examine how changes in biological traits, as proxy for ecosystem functions/services, at a fine spatial scale relate to larger scale assessment of structure. We use functional traits of stream insect species in south-east Australia in two habitats (riffle and edge/pool). We find that the protection of community structure in terms of 95% of species over multiple sites against adverse effects of salinity (as electrical conductivity) and turbidity will mostly, but not always, protect traits at smaller scales. Considering different combinations of trait modalities, contaminants and habitat, a mean of 17.5% (range 0%-36.8) of cases would result in under-protection of trait modalities despite protecting species composition (in terms of Jaccard's Index). This under-protection of trait modalities is only because of the different spatial scales that community structure and the traits were considered. We recommend that where the protection of biological traits, ecosystem functions or ecosystem services from stressors is a management goal, protective targets should not be solely set using measures of community structure such as SSDs or RSR. To protect both structural and functional attributes separate risk assessments should be done. © 2011 Elsevier B.V..


Sujaritpong S.,National Center for Epidemiology and Population Health | Dear K.,National Center for Epidemiology and Population Health | Cope M.,Center for Australian Weather and Climate Research | Walsh S.,EPA Victoria | Kjellstrom T.,National Center for Epidemiology and Population Health
International Journal of Biometeorology | Year: 2014

Climate change has been predicted to affect future air quality, with inevitable consequences for health. Quantifying the health effects of air pollution under a changing climate is crucial to provide evidence for actions to safeguard future populations. In this paper, we review published methods for quantifying health impacts to identify optimal approaches and ways in which existing challenges facing this line of research can be addressed. Most studies have employed a simplified methodology, while only a few have reported sensitivity analyses to assess sources of uncertainty. The limited investigations that do exist suggest that examining the health risk estimates should particularly take into account the uncertainty associated with future air pollution emissions scenarios, concentration-response functions, and future population growth and age structures. Knowledge gaps identified for future research include future health impacts from extreme air pollution events, interactions between temperature and air pollution effects on public health under a changing climate, and how population adaptation and behavioural changes in a warmer climate may modify exposure to air pollution and health consequences. © 2013 The Author(s).


Pritchard T.,NSW Office of Environment and Heritage | Pritchard T.,University of Waikato | Black K.,University of Melbourne | Lee R.,EPA Victoria | Koop K.,NSW Office of Environment and Heritage
20th Australasian Coastal and Ocean Engineering Conference 2011 and the 13th Australasian Port and Harbour Conference 2011, COASTS and PORTS 2011 | Year: 2011

Coastal Boundary Layer processes are investigated to assess how coastal and shelf morphologies affect flows which control the dispersion of pollutants discharged from coastal catchments on the New South Wales Coast, with case studies off Sydney and Coffs Harbour. Simple morphological risk assessment tools are presented to identify factors and processes which limit the exposure of sensitive environments to high pollutant concentrations and loads. A new Maximum Dilution Potential is developed and applied to case studies with contrasting morphologies in coastal waters. Eddy retention effects are generally not incorporated in existing near field models but, by including an Eddy Retention Value, the Maximum Dilution Potential incorporates potential re-entrainment effects in Wake Zones. Case studies illustrate specific Coastal Boundary Layer effects and indicate how an understanding of the spatial and temporal scales of these effects can be used to target more specific assessments of potential pollutant impacts. Although the approach presented here is focused on NSW coastal waters, the framework serves as a basis for general application elsewhere, and as a foundation for further refinement for application to NSW coastal waters.


Cope M.,CSIRO | Lee S.,CSIRO | Walsh S.,EPA Victoria | Middleton M.,EPA Victoria | And 3 more authors.
NATO Science for Peace and Security Series C: Environmental Security | Year: 2013

A multi-scale dynamical downscaling system has been set up to investigate future air quality trends in Melbourne, Australia due to climate and/or emission changes. The system consists of a comprehensive air emissions inventory; an ensemble of climate trends, a regional climate model for downscaling from synoptic to regional scale and a meteorological-chemical transport model for downscaling from regional to urban scale. Air quality projections for 2030 and 2070 suggest that, in the absence of emission controls, ozone concentrations will increase, leading to a 20-25 % increase in population exposure. The outcomes for PM2.5 show mixed results depending on season. The air quality trends with three different emission scenarios for 2030 were also modelled under the same climate projection. Some impact measures, such as average ozone concentration, are insensitive to the choice of emission scenarios, while others such as exposure to nitrogen dioxide show significant variations for different scenarios. © Springer Science+Business Media Dordrecht 2014.


Carew M.E.,Victoria University of Melbourne | Pettigrove V.J.,Victoria University of Melbourne | Metzeling L.,EPA Victoria | Hoffmann A.A.,Victoria University of Melbourne | Hoffmann A.A.,University of Melbourne
Frontiers in Zoology | Year: 2013

Introduction: Invertebrate communities are central to many environmental monitoring programs. In freshwater ecosystems, aquatic macroinvertebrates are collected, identified and then used to infer ecosystem condition. Yet the key step of species identification is often not taken, as it requires a high level of taxonomic expertise, which is lacking in most organizations, or species cannot be identified as they are morphologically cryptic or represent little known groups. Identifying species using DNA sequences can overcome many of these issues; with the power of next generation sequencing (NGS), using DNA sequences for routine monitoring becomes feasible.Results: In this study, we test if NGS can be used to identify species from field-collected samples in an important bioindicator group, the Chironomidae. We show that Cytochrome oxidase I (COI) and Cytochrome B (CytB) sequences provide accurate DNA barcodes for chironomid species. We then develop a NGS analysis pipeline to identifying species using megablast searches of high quality sequences generated using 454 pyrosequencing against comprehensive reference libraries of Sanger-sequenced voucher specimens. We find that 454 generated COI sequences successfully identified up to 96% of species in samples, but this increased up to 99% when combined with CytB sequences. Accurate identification depends on having at least five sequences for a species; below this level species not expected in samples were detected. Incorrect incorporation of some multiplex identifiers (MID's) used to tag samples was a likely cause, and most errors could be detected when using MID tags on forward and reverse primers. We also found a strong quantitative relationship between the number of 454 sequences and individuals showing that it may be possible to estimate the abundance of species from 454 pyrosequencing data.Conclusions: Next generation sequencing using two genes was successful for identifying chironomid species. However, when detecting species from 454 pyrosequencing data sets it was critical to include known individuals for quality control and to establish thresholds for detecting species. The NGS approach developed here can lead to routine species-level diagnostic monitoring of aquatic ecosystems. © 2013 Carew et al.; licensee BioMed Central Ltd.

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