Abstract Studies detecting trends in climate elements typically concentrate on their local significance, ignoring the question whether significant may or not have occurred due to chance. The present paper fills this gap by examining several approaches statistical significance of defined a grid, that is regional scale. To end, we introduce novel simple procedure testing, which based counting sig...

        This paper proposes a new forecasting model for investigating relationship between the price of crude oil, as an important energy source and GDP of the US, as the largest oil consumer, and the UK, as the oil producer. GMDH neural network and MLFF neural network approaches, which are both non-linear models, are employed to forecast GDP responses to the oil price changes. The resul...

Drought and water scarcity are resulting from the effects of climate change during recent decades. The region Beni Mellal Khenifra, by nature its economic activities based particularly on agriculture availability resources, is considered among most vulnerable regions to in Morocco. In this paper, we analyzed impact three largest dams (Hassan first, Bin El Ouidane Ahmed Hansali), statistical dat...

As a Semi-arid country, Burkina Faso is highly vulnerable to climate-related disasters such as drought and flood. Analyzing signature therefore key factor in advocating climate change adaptation at the local scale. In this study, Spatiotemporal trends of were conducted for period 1960–2021 within Massili Basin using standardized precipitation evapotranspiration index (SPEI) package R. The non-p...

Abstract The identification of hydro-meteorological trends is essential for analyzing climate change and river discharge at the watershed level. Ajora-Woybo in Ethiopia was studied long-term rainfall, temperature, annual, monthly, seasonal time scales. rainfall temperature data extend 1990 to 2020, whereas span from1990 2015. Pettitt Standard Normal Homogeneity Test (SNHT) tests were used deter...

Drinking under the Influence (DUI) remains to be a public health issue as there has still been significant number of traffic deaths and injuries due DUI. Despite laws enacted impacts DUI highly publicized, high percentage people perceiving major personal safety threat furthers need review status DUIs in this country. There are various agencies country that gathered data one way or other. Howeve...

Abstract In this study, to evaluate the trend of precipitation change, Mann–Kendall method has been used. The studied area is Lorestan province located in western part Iran. To achieve goal, time series annual and monthly rainfall data were collected for different statistical periods. Moreover, order analyze drought, standard index non-parametric test predict meteorological drought province, pa...