The machine learning approach is a new hot topic in recent years that are widely used in different sections, including industries, economy, disaster prediction and politics. After decades’ of development, the available machine learning algorithms are numerous and diverse. Traditional methods such as regression, classical statistical methods, are unfortunately laid aside as non-mainstream. This paper ...

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 ...

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 ...

In this study, the effect of temperature on the leaching of Cr, Cu, Fe, Ni and Zn from oxidized tailings, Ballangen deposit, Norway, was investigated by a laboratory batch leaching experiment. The leaching was conducted at four different temperatures 5°C, 10°C, 15°C and 20°C and 2 precipitation rates of 8 mm/week and 20 mm/week. The leachates from six leaching cycles were collected, and the concentra- ...

Wind energy is one of the important renewable energies that get fast development in recent years. The development of wind turbines can have potential environmental impact on the surrounding environment. Especially when the wind turbines are built near the watersheds, water quality in the watershed may be degraded. In this study, the water quality in Bogdalen watershed that in or surrounding Kvitfjell ...

To investigate the heavy metal pollution in leachate from sanitary landfill site of municipal solid waste, a survey was conducted in Tromsø, Northern Norway. Results shows that contents of heavy metals in landfill leachate follow the order Mn>Zn>Ni>Cu>Cr>As>Pb>Cd>Hg, and the order of the risk of different heavy metals is: Mn>Ni>As>Zn>Cr>Pb>Cd>Hg>Cu. The concentrations of Mn and Ni in landfill leachate ...

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 ...

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 ...

An engineering system can exhibit two- or multi-dimensions in its lifetime. As the classical univariate distribution cannot model this multi-dimensional characteristic, it is necessary to extend it to multivariate distribution in order to capture the multi-dimensional characteristics. This paper proposes a bivariate Weibull distribution that combines two classical Weibull models by a common exponent. ...

Temperature is one important factor that affects the leaching of contaminants from tailings deposit. However, randomness issue due to the precision of the instrument, the variation of ambient temperature, the individual skill of the lab technician etc., is inevitable and will affect the results when we evaluate the dependence of two parameters. In this study, a statistical method was developed to ...