#620 An ecological study of the association between childhood leukemia and brain cancer incidence to high voltage transmission power lines

1996 ◽  
Vol 18 (4) ◽  
pp. 441
Author(s):  
K. Stobart ◽  
M. McBride ◽  
R. Gallagher ◽  
A. King
Keyword(s):  
High Voltage ◽  
Cancer Incidence ◽  
Brain Cancer ◽  
Ecological Study ◽  
Childhood Leukemia ◽  
Power Lines ◽  
Transmission Power ◽  
High Voltage Transmission

scholarly journals Review and Progress towards the Common Broadband Management of High-Voltage Transmission Grids: Model Expansion and Comparative Modal Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Athanasios G. Lazaropoulos
Keyword(s):  
High Voltage ◽  
Power Grid ◽  
Signal Propagation ◽  
Power Lines ◽  
Analysis Tool ◽  
Transmission Power ◽  
Transmission Potential ◽  
The Common ◽  
End To End ◽  
The Impact

The need of bridging the digital gap between underdeveloped/developed areas and promoting smart grid (SG) networks urges the deployment of broadband over power lines (BPL) systems and their further integration. The contribution of this paper is fourfold. First, based on the well-established hybrid model of (Lazaropoulos and Cottis 2009, 2010, Lazaropoulos, 2012) and the generic multidimensional network analysis tool presented in (Lazaropoulos 2012, Sartenaer 2004, Sartenaer and Delogne 2006, 2001) an exact multidimensional chain scattering matrix method, which is suitable for overhead high-voltage/broadband over power lines (HV/BPL) networks, is proposed and is evaluated against other theoretical and experimental proven models. Second, the proposed method investigates the overhead HV/BPL transmission grids (overhead 150 kV single-circuit, 275 kV double-circuit, and 400 kV double-circuit multiconductor structures) with regard to their end-to-end signal attenuation. It is found that the above features depend drastically on the overhead power grid type, the frequency, the MTL configuration, the physical properties of the cables used, the end-to-end distance, and the number, the length, and the terminations of the branches encountered along the end-to-end BPL signal propagation. Third, the impact of the multiplicity of the branches at the same junction in overhead HV grids is first examined. Based on the inherent long-branch structure and the quasi-static behavior of single/multiple branches with matched terminations of overhead HV grid, a simple approach suitable for overhead HV/BPL channel estimation is presented. Fourth, identifying the similar characteristics among different overhead HV/BPL configurations, an additional step towards the common overhead HV/BPL analysis is demonstrated; the entire overhead HV/BPL grid may be examined under a common PHY framework regardless of the overhead HV/BPL grid type examined. Finally, apart from the presentation of broadband transmission potential of the entire overhead transmission power grid, a consequence of this paper is that it helps towards: (i) the better broadband monitoring and management of overhead HV transmission power grids in an interactive SG network; and (ii) the intraoperability/interoperability of overhead HV/BPL systems under the aegis of a unified transmission/distribution SG power network.

Efficiency of High Voltage Transmission in Power Lines

2019 ◽  
Vol 01 (04) ◽  
pp. 1920009
Author(s):  
Ker Liang Goh
Keyword(s):  
High Voltage ◽  
Electrical Power ◽  
Introductory Physics ◽  
Power Lines ◽  
Power Station ◽  
Physics Courses ◽  
Alternative Method ◽  
High Voltage Transmission ◽  
Introductory Physics Courses

In introductory Physics courses, one might come across a question of why electricity is transmitted from the power station at high voltage? Analysis of a typical quantitative question is illustrated in this paper, showing its deficiencies. An alternative method that mimics more closely to realistic situations is proposed to better illustrate the increase in efficiency of transmitting electrical power at high voltages.

scholarly journals Distance to High-Voltage Power Lines and Risk of Childhood Leukemia – an Analysis of Confounding by and Interaction with Other Potential Risk Factors

PLoS ONE ◽  
2014 ◽  
Vol 9 (9) ◽  
pp. e107096 ◽  
Author(s):  
Camilla Pedersen ◽  
Elvira V. Bräuner ◽  
Naja H. Rod ◽  
Vanna Albieri ◽  
Claus E. Andersen ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Voltage ◽  
Potential Risk ◽  
Childhood Leukemia ◽  
Power Lines ◽  
Potential Risk Factors ◽  
High Voltage Power Lines

scholarly journals The association between incidence and mortality of brain cancer and human development index (HDI): an ecological study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zaher Khazaei ◽  
Elham Goodarzi ◽  
Vahidreza Borhaninejad ◽  
Farhad Iranmanesh ◽  
Hosein Mirshekarpour ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Human Development ◽  
Cancer Incidence ◽  
Brain Cancer ◽  
Human Development Index ◽  
Ecological Study ◽  
Mortality Rates ◽  
Development Index ◽  
Incidence And Mortality ◽  
Years Of Schooling

Abstract Background Brain cancer is a rare and deadly malignancy with a low survival rate. The present study aims to evaluate the epidemiology of brain cancer and its relationship with the human development index (HDI) worldwide. Methods This is an ecological study. The data on cancer incidence and cancer mortality was extracted from the World Bank for Cancer in 2018 (GLOBOCAN 2018). The incidence, mortality rate, and brain cancer distribution maps were drawn for different countries. We used correlation and regression tests to examine the association of incidence and mortality rates of brain cancer with HDI. The statistical analysis was carried out by Stata-14 and a significance level of 0.05 was considered. Results According to the results of Global Cancer Registry in 2018, there were 18,078,957 registered cases of cancer in both sexes, of which 29,681 were related to brain cancer. The highest incidence (102,260 cases, 34.4%) and mortality (77,815 cases, 32.3%) belonged to very high HDI regions. Results showed that incidence (r = 0.690, P < 0.0001) and mortality rates (r = 0.629, P < 0.001) of brain cancer are significantly correlated with HDI. We also observed a positive correlation between brain cancer incidence and Gross National Income (GNI) (r = 0.346, P < 0.001), Mean Years of Schooling (MYS) (r = 0.64, P < 0.001), TABLE (LEB) (r = 0.66, P < 0.001) and Expected Years of Schooling (EYS) (r = 0.667, P < 0.001). Results also revealed that mortality rate was significantly correlated with GNI (r = 0.28, P < 0.01), MYS (r = 0.591, P < 0.01), LEB (r = 0.624, P < 0.01), and EYS (r = 0.605, P < 0.01). Conclusion The results of the study showed that the incidence and mortality of brain cancer in countries with higher HDI levels is higher than countries with lower HDI levels, so attention to risk factors and action to reduce it in countries with higher HDI levels in controlling this cancer in this Countries are effective.

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