Niu J.,Environmental Health Science Research Bureau |
Rasmussen P.E.,Environmental Health Science Research Bureau |
Rasmussen P.E.,University of Ottawa |
Wheeler A.,Water |
And 2 more authors.
Atmospheric Environment | Year: 2010
Factors and sources affecting measurement uncertainty associated with monitoring metals in airborne particulate matter (PM) were investigated as part of the Windsor, Ontario Exposure Assessment Study (WOEAS). The assessment was made using co-located duplicate samples and a comparison of two analytical approaches: ED-XRF and ICP-MS. Sampling variability was estimated using relative percent difference (RPD) of co-located duplicate samples. The comparison of ICP-MS and ED-XRF results yields very good correlations (R2 ≥ 0.7) for elements present at concentrations that pass both ICP-MS and ED-XRF detection limits (e.g. Fe, Mn, Zn, Pb and Cu). PM concentration ranges (median, sample number) of 24-h indoor PM10 and personal PM10 filters, and outdoor PM2.5 filters were determined to be 2.2-40.7 (11.0, n = 48) μg m-3, 8.0-48.3 (11.9, n = 48) μg m-3, and 17.1-42.3 (21.6, n = 18) μg m-3, respectively. The gravimetric analytical results reveal that the variations in PM mass measurements for same-day sampling are insignificant compared to temporal or spatial variations: 92%, 100% and 96% of indoor, outdoor and personal duplicate samples, respectively, pass the quality criteria (RPD ≤ 20%). Uncertainties associated with ED-XRF elemental measurements of S, Ca, Mn, Fe and Zn for 24-h filter samples are low: 78%-100% of the duplicate samples passed the quality criteria. In the case of 24-h filter samples using ICP-MS, more elements passed the quality criteria due to the lower detection limits. These were: Li, Na, K, Ca, Si, Al, V, Fe, Mn, Co, Cu, Mo, Ag, Zn, Pb, As, Mg, Sb, Sn, Sr, Th, Ti, Tl, and U. Low air concentrations of metals (near or below instrumental detection limits) and/or inadvertent introduction of metal contamination are the main causes for excluding elements based on the pass/fail criteria. Uncertainty associated with elemental measurements must be assessed on an element-by-element basis. © 2009 Elsevier Ltd.
Conallin J.,Roskilde University |
Boegh E.,Roskilde University |
International Journal of River Basin Management | Year: 2010
The introduction of the EU Water Framework Directive (WFD) is providing member state water resource managers with significant challenges in relation to meeting the deadline for 'Good Ecological Status' by 2015. Overall, instream physical habitat modelling approaches have advantages and disadvantages as management tools for member states in relation to the requirements of the WFD, but due to their different model structures they are distinct in their data needs, transferability, user-friendliness and presentable outputs. Water resource managers need information on what approaches will best suit their situations. This paper analyses the potential of different methods available for water managers to assess hydrological and geomorphological impacts on the habitats of stream biota, as requested by the WFD. The review considers both conventional and new advanced research-based instream physical habitat models. In parametric and non-parametric regression models, model assumptions are often not satisfied and the models are difficult to transfer to other regions. Research-based methods such as the artificial neural networks and individual-based modelling have promising potential as water management tools, but require large amounts of data and the model structure is complex. It is concluded that the use of habitat suitability indices (HSIs) and fuzzy rules in hydraulic-habitat modelling are the most ready model types to satisfy WFD demands. These models are well documented, transferable, user-friendly and have flexible data needs. They can easily be implemented in new regions using expert information or different types of local data. Furthermore, they are easily presentable to stakeholders and have the potential to be applied over large spatial scales. Integral care must be taken in the use of appropriate HSIs as these are the most sensitive part of the modelling and inaccurate results will be gained if not correctly formulated. If representative HSIs are not available, fuzzy rule-based modelling is recommended, but care must also be taken in the designing of the rule sets. For larger-scale modelling or when only few field data are available, generalized habitat models hold promise for quantifying habitat suitability based on average stream characteristics. © 2010 International Association for Hydro-Environment Engineering and Research.
Clarke K.-L.,University of Ottawa |
International Journal of Public Health | Year: 2012
Objective: It is now recognized that climate change affects human health. The question is how to adapt. This article examines mainstreaming climate considerations into public health programs and the utility of climate change and health adaptation frameworks, using Ontario, Canada, as a case study. Methods: A literature review identified climate change and health adaptation frameworks for comparison with the Ontario Public Health Standards. Key informant interviews gauged the extent to which climate change risks are currently considered in policy and planning. Results: Ontario's Public Health Standards already require many of the risk management activities identified in climate change and health adaptation frameworks. However, public health officials require additional information about linkages between climate change and health to manage risks. Conclusions: Risk management activities such as population health assessments, surveillance and public education and outreach can address many key risks related to climate hazards when information about the risks, vulnerable populations and time scales is made available to health officials. The development, analysis and transfer of this information should be considered a priority at all levels within the public health sector. © 2011 The Author(s).
Water | Date: 2013-02-19
The present invention provides a delivery device for use in the control of a target animal species, the delivery device including:
Rah J.H.,Child Development and Nutrition Programme |
Cronin A.A.,Water |
Badgaiyan B.,Child Development and Nutrition Programme |
Aguayo V.,Regional Office for South Asia |
And 2 more authors.
BMJ Open | Year: 2015
Objectives: Increasing evidence suggests that water, sanitation and hygiene (WASH) practices affect linear growth in early childhood. We determined the association between household access to water, sanitation and personal hygiene practices with stunting among children aged 0-23 months in rural India. Setting: India. Participants: A total of 10 364, 34 639 and 1282 under-2s who participated in the 2005-2006 National Family Health Survey (NFHS-3), the 2011 Hunger and Malnutrition Survey (HUNGaMA) and the 2012 Comprehensive Nutrition Survey in Maharashtra (CNSM), respectively, were included in the analysis. Primary outcome measures: The association between WASH indicators and child stunting was assessed using logistic regression models. Results: The prevalence of stunting ranged from 25% to 50% across the three studies. Compared with open defecation, household access to toilet facility was associated with a 16- 39% reduced odds of stunting among children aged 0 - 23 months, after adjusting for all potential confounders (NHFS-3 (OR=0.84, 95% CI 0.71 to 0.99); HUNGaMA (OR=0.84, 95% CI 0.78 to 0.91); CNSM (OR=0.61, 95% CI 0.44 to 0.85)). Household access to improved water supply or piped water was not in itself associated with stunting. The caregiver' s self-reported practices of washing hands with soap before meals (OR=0.85, 95% CI 0.76 to 0.94) or after defecation (OR=0.86, 95% CI 0.80 to 0.93) were inversely associated with child stunting. However, the inverse association between reported personal hygiene practices and stunting was stronger among households with access to toilet facility or piped water (all interaction terms, p<0.05).Conclusions: Improved conditions of sanitation and hygiene practices are associated with reduced prevalence of stunting in rural India. Policies and programming aiming to address child stunting should encompass WASH interventions, thus shifting the emphasis from nutrition-specific to nutrition-sensitive programming. Future randomised trials are warranted to validate the causal association.