Abstract The flood regimes have been changing due to the climate change and human activities. Evaluating risk under nonstationarity is critical water resource management authorities in disaster reduction. In this study, annual maximum streamflow (AMS) was used analyze frequency Hanjiang River (HJR) Basin. A Generalized Additive Model for Location, Scale Shape (GAMLSS) employed characterize AMS ...

Abstract In this study, the artificial neural network (ANN) method was applied to investigate impacts of climate change on water quantity and quality Qu'Appelle River in Saskatchewan, Canada. First, second-generation Canadian earth system model (CanESM2) adopted predict future conditions. The Statistical DownScaling Model (SDSM) then downscale generated data. To analyze river, concentrations di...

A species of the beryciform fish genus Hoplopteryx, collected from rocks of Turonian Age in the Pool Creek Member of the Carlile Shale Formation, is described from the fossil record of South Dakota for the first time. The specimens are part of the Bishop Collection, now housed in the repository at the South Dakota School of Mines and Technology (SDSM). Despite their geographic distance from the...

When software distributed shared memory (SDSM) systems provide multithreading to exploit cluster of symmetric multiprocessors (SMPs), a challenge is how to preserve memory consistency in a thread-safe way, which is known as ‘‘atomic page update problem’’. In this paper, we show that this problem can be solved by creating two independent access paths to a physical page and by assigning different...

Abstract Water security has been a major challenge in the semi-arid area of West Africa including Northern Ghana, where climate change is projected to increase if appropriate measures are not taken. This study assessed rainfall and temperature projections its impact on water resources Vea catchment using an ensemble mean four bias-corrected Regional Climate Models Statistical Downscaling Model-...