Uncertainty analysis is critical for conducting reservoir performance prediction. However, it is challenging because it relies on (1) massive modeling-related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the ...

A number of previous studies have identified changes in the climate occurring on decadal to multi-decadal time-scales. Recent studies also have revealed multi-decadal variability in the modulation of the magnitude of El Niño–Southern Oscillation (ENSO) impacts on rainfall and stream flow in Australia and other areas. This study investigates multidecadal variability of drought risk by analysing ...

OBJECTIVE This study aims to estimate the prevalence of psychological stress and association between the levels of stress and study variables among Gorgan medical students. MATERIALS AND METHODS All three year medical students (129 basic sciences students) in Gorgan Faculty of Medicine, Golestan University of Medical Sciences, were asked to complete the Kessler 10 questionnaire. RESULTS The...

monthly and annual water and phosphorus mass budgets were set up over the year 2010 for thelake rio verde, brazil. limited data for the water budget was compensated using an interpolation methodwith data water budget data of a nearby reservoir. thus, errors of ca. 1.5% were estimated for the waterbudgets. dominant p mass input terms were inflows from the rivers and direct run off into the reser...

A user-friendly window based decision support model to support the reservoir operators for irrigation management is developed. Uncertainty is modeled by a data mining approach – Decision tree – in a multi stage environment, which includes different possible configurations of inflow in a wide time horizon. The aim is to identify different patterns and essential features on which to base a robust...