University of Bedfordshire

About: University of Bedfordshire is a education organization based out in Luton, Bedford, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 3860 authors who have published 6079 publications receiving 143448 citations. The organization is also known as: University of Luton.

Power and flow characteristics of three rotor-stator heads

Abstract: In-line rotor-stators are used in a wide range of industrial applications—primarily for dispersion processes such as emulsification, deagglomeration. Three rotor-stator heads have been used to investigate their performance in breaking up of nanoparticle clusters within a large project. This article reports the findings of a part of this study aimed at investigating the flow and power characteristics in single phase to highlight the differences of three different mixer heads. Power characteristics are determined using the calorimetry allowing the characteristic power numbers for these devices to be obtained. These are also compared with CFD calculations. Flow characteristics are studied through numerical simulations.

FLO1K, global maps of mean, maximum and minimum annual streamflow at 1 km resolution from 1960 through 2015.

Abstract: Streamflow data is highly relevant for a variety of socio-economic as well as ecological analyses or applications, but a high-resolution global streamflow dataset is yet lacking. We created FLO1K, a consistent streamflow dataset at a resolution of 30 arc seconds (-1 km) and global coverage. FLO1K comprises mean, maximum and minimum annual flow for each year in the period 1960-2015, provided as spatially continuous gridded layers. We mapped streamflow by means of artificial neural networks (ANNs) regression. An ensemble of ANNs were fitted on monthly streamflow observations from 6600 monitoring stations worldwide, i.e., minimum and maximum annual flows represent the lowest and highest mean monthly flows for a given year. As covariates we used the upstream-catchment physiography (area, surface slope, elevation) and year-specific climatic variables (precipitation, temperature, potential evapotranspiration, aridity index and seasonality indices). Confronting the maps with independent data indicated good agreement (R-2 values up to 91%). FLO1K delivers essential data for freshwater ecology and water resources analyses at a global scale and yet high spatial resolution.[GRAPHICS].