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The effect of drinking water quality on the health and longevity of people-A case study in Mayang, Hunan province, China
(Peer reviewed; Chapter; Bokkapittel, 2017)
Drinking water is an important source for trace elements intake into human body. Thus, the drinking water quality has a great impact on people's health and longevity. This study aims to study the relationship between drinking water quality and human health and longevity. A longevity county Mayang in Hunan province, China was chosen as the study area. The drinking water and hair of local centenarians ...
The effect of temperature and precipitation on the leaching of contaminants from Ballangen tailings deposit, Norway
(Journal article; Peer reviewed, 2019)
Leaching and transport of contaminants from tailings deposit is a highly complex interacting system affected by a suite of environmental factors, among which temperature and precipitation rates linked to climate change are two important parameters. The climate change in the Nordic region is more drastic than other regions. In this study, a laboratory batch leaching experiment was performed on the ...
Non-contact sensing and modelling on the voltage and electric field for powered transmission line
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
From environmental, ecological or technical perspectives, the measurement of the potential voltage, electric field near the power transmission line is essential to ensure the exposure level does not exceed the limits of the government specified. This paper develops a potential voltage model, designs experiments to verify the developed model and to evaluate the parameters in the model. An electric ...
Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11)
The Norwegian Arctic is rich in wind resources. The development of wind power in this region can boost green energy and also promote local economies. In wind power engineering, it is a tremendous advantage to base projects on a sound understanding of the intrinsic properties of wind resources in an area. Wind speed volatility, a phenomenon that strongly affects wind power generation, has not received ...
Anomaly Detection for Environmental Data Using Machine Learning Regression
(Journal article; Peer reviewed, 2018)
Environmental data exhibits as huge amount and complex dependency. Utilizing
these data to detect anomaly is beneficial to the disaster prevention. Big data approach using
the machine learning method has the advantage not requiring the geophysical and geochemical
knowledge to detect anomaly. This paper using the popular support vector regression (SVR ) to
model the correlation between factors. ...
Endurance Test on Carbon Film Fixed Resistor under Escalated Voltage Stress
(Journal article; Peer reviewed; Tidsskriftartikkel, 2018)
Film fixed resistor is a basic unit in the electronic devices. As it is less frequently failed than other units such as capacitor, the reliability and robustness of it are less concerned both in the academics and in the industries. This paper investigates the endurance of the carbon film fixed resistor. The resistance shift and life of it under the escalated voltage stress level are the aim. A PCB ...
Multivariate analysis of Co, Fe and Ni leaching from tailings following simulated temperature change
(Journal article; Peer reviewed, 2018)
A series of column leaching experiments were performed to understand the leaching behavior of Co, Fe and Ni in Ballangen mine tailings. Multivariate statistical approaches to evaluate potential risk variations in leachate quality and identifies temperature effects on their leaching behavior. Results from column leaching test indicated that the mobility of showed higher temperature may encourage ...
Modelling the transport of oil after a proposed oil spill accident in Barents Sea and its environmental impact on Alke species
(Peer reviewed; Conference object; Konferansebidrag; Bokkapittel; Chapter, 2017)
Accidental oil spills can have significant effect on the coastal and marine environment. As the oil extraction and exploration activities increase in the Barents Sea, it is of increasingly importance to investigate the potential oil spill incidents associated with these activities. In this study, the transport and fate of oil after a proposed oil spill incident in Barents Sea was modelled by oil ...
An Slow Motion Detection Algorithm using High Order Statistic Approach
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-16)
Motion detection is vital for consumer electronics and the Internet of things (IOT).
For a scenario where the motion is slow and gentle, the resolution of the motion sensor is critical
for the detection, while the algorithm development is another critical issue to differentiate the
motion signal from noise measurement. This paper investigates the feasibility of using higher
order statistics ...
Comparative study of data-driven short-term wind power forecasting approaches for the Norwegian Arctic region
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-26)
This paper conducts a systemic comparative study on univariate and multivariate wind power forecasting for five wind farms inside the Arctic area. The development of wind power in the Arctic can help reduce greenhouse gas emissions in this environmentally fragile region. In practice, wind power forecasting is essential to maintain the grid balance and optimize electricity generation. This study first ...