Ambient Mercury Sources in Rochester, NY: Results from Principle Components Analysis (PCA) of Mercury Monitoring Network Data

2010 ◽  
Vol 44 (22) ◽  
pp. 8441-8445 ◽  
Author(s):  
Jiaoyan Huang ◽  
Hyun-Deok Choi ◽  
Philip K. Hopke ◽  
Thomas M. Holsen
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
David de Andrade Costa ◽  
José Paulo Soares de Azevedo ◽  
Marco Aurélio dos Santos ◽  
Rafaela dos Santos Facchetti Vinhaes Assump

AbstractFifty-four water samples were collected between July and December 2019 at nine monitoring stations and fifteen parameters were analysed to provide an updated diagnosis of the Piabanha River water quality. Further, forty years of monitoring were analysed, including government data and previous research projects. A georeferenced database was also built containing water management data. The Water Quality Index from the National Sanitation Foundation (WQINSF) was calculated using two datasets and showed an improvement in overall water quality, despite still presenting systematic violations to Brazilian standards. Principal components analysis (PCA) showed the most contributing parameters to water quality and enabled its association with the main pollution sources identified in the geodatabase. PCA showed that sewage discharge is still the main pollution source. The cluster analysis (CA) made possible to recommend the monitoring network optimization, thereby enabling the expansion of the monitoring to other rivers. Finally, the diagnosis provided by this research establishes the first step towards the Framing of water resources according to their intended uses, as established by the Brazilian National Water Resources Policy.


2012 ◽  
Vol 48 (7) ◽  
Author(s):  
A. B. Smith ◽  
J. P. Walker ◽  
A. W. Western ◽  
R. I. Young ◽  
K. M. Ellett ◽  
...  

Author(s):  
Ahmed Abdel-Khalek ◽  
Maysa al Nyal ◽  
Hanan Saeed

The aim of this study was to estimate the prevalence of insomnia, differences between males and females, and between two age groups, and to explore the factorial structure of the Arabic Scale of Insomnia (ASI). Samples of university students (n=500) and employees (n=457) of both sexes were recruited. Female university students obtained the highest mean total score on the ASI, followed by female employees, male university students, and finally male employees. The salient significant differences were between female students and male employees and between male and female employees. Despite the differences in the prevalence rate of insomnia between the four groups, they all agreed on that the least prevalence rate was for the item: “I feel depressed when it is time for me to go to bed, whereas the highest prevalence rate was for the item: “My interrupted sleep annoys me.” Principle components analysis yielded three factors for each group. Most of their names were not identical. The most salient finding of this study was the statistically significant sex differences in insomnia in favor of women. It was concluded that is it important to introduce counseling for those who obtained high scores on the ASI. 


Author(s):  
Silva Larson ◽  
Natalie Stoeckl ◽  
Diane Jarvis ◽  
Jane Addison ◽  
Daniel Grainger ◽  
...  

Conservation and environmental management have been reported as offering opportunities to substantially improve the wellbeing of Indigenous people. Using the holistic wellbeing impact evaluation (W-IE) approach—well suited for use in Indigenous communities—we interviewed 190 Indigenous Australians across four communities. All communities were involved in the Indigenous land and sea management programs (ILSMPs). Our study explored the conceptualisation of ‘wellbeing’ by participants. In particular, we were interested in the aspects of wellbeing perceived to be affected by ILSMPs. Out of the 26 wellbeing factors explored, ‘Health centres’; ‘Language’; ‘Schools’; and ‘Safe community’ emerged as being of highest importance to the largest percentage of the respondents. When grouped using principle components analysis (PCA), the ‘Community and society’ domain emerged as the most important; accounting for 52% of the overall importance of all wellbeing factors. The second most important domain was the ‘Country and culture’, contributing 31%. Lastly, ‘Economic aspects’ contributed only 17%. Respondents believed that ILSMPs have played a considerable causal role in improving wellbeing, by positively changing factors most important to them. Specifically, 73% of perceived causal links were related to improvements in the ‘Country and Culture’ and 23% to ‘Community and Society’ domain. We thus conclude that land management for Indigenous people is much more than ecological or environmental management with ILSMPs, perceived to cause a wide range of cultural and social benefits. We also propose ways in which the future design of such programs could be improved to further increase benefits.


2016 ◽  
Vol 14 (2) ◽  
pp. 139
Author(s):  
Laura Siebeneck, PhD

Objective: To develop a vulnerability model that captures the social, physical, and environmental dimensions of tornado vulnerability of Texas counties. Design: Guided by previous research and methodologies proposed in the hazards and emergency management literature, a principle components analysis is used to create a tornado vulnerability index. Data were gathered from open source information available through the US Census Bureau, American Community Surveys, and the Texas Natural Resources Information System.Setting: Texas counties.Results: The results of the model yielded three indices that highlight geographic variability of social vulnerability, built environment vulnerability, and tornado hazard throughout Texas. Further analyses suggest that counties with the highest tornado vulnerability include those with high population densities and high tornado risk.Conclusions: This article demonstrates one method for assessing statewide tornado vulnerability and presents how the results of this type of analysis can be applied by emergency managers towards the reduction of tornado vulnerability in their communities.


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