The modelling of wind speed is a traditional topic in meteorological research, where the main interest is on the short-term forecast of wind speed intensity and direction. More recently, this theme has received some interest in the quantitative finance literature for its relationship with electricity production by wind farms. In fact, electricity producers are interested in long-range forecasts...

Ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of both ozone and its precursors. For this purpose, the influence of meteorological variables is a confusing factor. This study presents an analysis of a year of ozone concentrations measured in a coastal Spanish city. Firstly, the a...

abstract particular matters which are referred as pm contents in air are one of the main indexes in air pollution studies. pms are consisted of water, solid particles with aerodynamic radius less than 10 micrometer or less than 2.5 micrometer. the main aim of this study is to find possibility of the usage of modis images for estimation of pm10 concentration of dust storms. to achieve this goal ...

Wind energy has been part of the fastest growing renewable energy sources that is clean and pollution-free, which has been increasingly gaining global attention, and wind speed forecasting plays a vital role in the wind energy field, however, it has been proven to be a challenging task owing to the effect of various meteorological factors. This paper proposes a hybrid forecasting model, which c...

The prediction of wind farm output power is considered as an effective way to increase the wind power capacity and improve the safety and economy of power system. It is one of the hot research topics on wind power. The wind farm output power is related to many factors such as wind speed, temperature, etc., which is difficult to be described by some mathematical expression. In this paper, Back P...

There are many problems in security and defense that require a robust optimization technique, including those that involve the release of a chemical or biological contaminant. Our problem, in particular, is computing the parameters to be used in modeling atmospheric transport and dispersion given field sensor measurements of contaminant concentration. This paper discusses using a genetic algori...

The present study deals with the application of cluster analysis, Fuzzy Cluster Analysis (FCA) and Kohonen Artificial Neural Networks (KANN) methods for classification of 159 meteorological stations in India into meteorologically homogeneous groups. Eight parameters, namely latitude, longitude, elevation, average temperature, humidity, wind speed, sunshine hours and solar radiation, are conside...

The effects of outdoor temperature, rainfall and wind speed on the indoor radon concentration in four types of traditional hut in Kenya were investigated by performing short-term (about 48 h) measurements with activated charcoal canisters. The concentrations vary widely (30.2-315.4 Bq m(-3)) during the study period, and the overall mean is 170.3 +/- 39.6 Bq m(-3). The indoor radon concentration...