In this study we examined the impact of weather variability and tides on the transmission of Barmah Forest virus (BFV) disease and developed a weather-based forecasting model for BFV disease in the Gladstone region, Australia. We used seasonal autoregressive integrated moving-average (SARIMA) models to determine the contribution of weather variables to BFV transmission after the time-series dat...

â  the prediction of maximum temperatures as one of the most important climatic parameters due to climate change, global warming and the recent drought will provide definitely more opportunity for planning and the provision of necessary arrangements for the planners. maximum temperatures are much important in management of natural and water resources, agriculture, development of pests and disea...

Extreme droughts and high temperatures have becomemore frequent in the last two decades, increasing fire risk in the Amazon. The overarching goal of this study is to shed light on the influence of temperature and rainfall on fire occurrence for the 1998–2013 period. We use a Poisson regression to model satellite-based monthly fire counts across the Brazilian Amazon as a function of observed rai...

tourism is an element depends on climate so that suitable climate and weather forecast in the destination is an attractive factor for tourists. in this research we used 9 synoptic stations data and tci index of lorestan province for comfort assessment of the province .this index use 7 climatic factors includes: rainfall, temperature, mean and minimum relative humidity, maximum temperature, dail...

The temporal variations of the ionospheric critical frequency foF2 is a typical example of a time series in which deterministic variations at various time scales and nonstationary stochastic variations are involved. In a series of journal and conference papers we have obtained various modelling, prediction and forecast algorithms for foF2 variations over Europe, based on data from about 15 iono...

since many time series are not normal, it is required to normalize data by transformation functions prior to any analysis and modeling. in this study, the next month rainfall of abadeh county station was predicted using the average monthly rainfall, minimum and maximum temperatures and minimum and maximum humidity as inputs of mlp network, both normally and raw, at period 1976 to 2013. after sc...

Based on crime attractor and displacement theories of environmental criminology, we specify a leading indicator model for forecasting serious property and violent crimes. The model, intended for support of tactical deployment of police resources, is at the micro-level scale; namely, one-month-ahead forecasts over a grid system of 104 square grid cells 4,000 feet on a side (with approximately 10...

in this research we have studied tabriz temperature inversion using radio-sound information, during the 2004-2008 periods in daily, monthly and seasonally scales. produced data associated with temperature inversion daily of the surface (2 meters) to 700 h.pa. several different measures are used, including the height of the base and the height of the top of the inversion, the temperature at the ...