Drag coefficient, <i>C</i>_<i>d</i>, for <i>R</i>₀ = 100 for different viscosity (<i>X</i>) and density (<i>P</i>) ratios.

<p>Roman values (dashes: No values provided) from Juncu [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.ref030" target="_blank">30</a>], results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.e011" target="_blank">Eq (10)</a> are in italics, results in the rightmost column are from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.e001" target="_blank">Eq (1)</a>.</p

Comparison of various numerical data sets with predictions of drag formulas for the case of the gas bubble.

<p>Comparison of various numerical data sets with predictions of drag formulas for the case of the gas bubble.</p

Drag coefficient, <i>C</i>_<i>d</i>, estimated by Oliver and Chung [11] for various viscosity ratios (<i>X</i>) over a range of Reynolds numbers (<i>R</i>₀) compared with predictions of Eqs (1) and (10).

<p>Drag coefficient, <i>C</i>_<i>d</i>, estimated by Oliver and Chung [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.ref011" target="_blank">11</a>] for various viscosity ratios (<i>X</i>) over a range of Reynolds numbers (<i>R</i>₀) compared with predictions of Eqs (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.e001" target="_blank">1</a>) and (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0194907#pone.0194907.e011" target="_blank">10</a>).</p

Comparison of various numerical data sets with predictions of drag formulas for the case of the solid sphere.

<p>Comparison of various numerical data sets with predictions of drag formulas for the case of the solid sphere.</p

Correlation coefficient of ambulatory and hospitals sales.

<p>R is the correlation coefficient. Consumption in hospitals and ambulatory do not correlate.</p

Summary of physico-chemical and ecotoxicological properties of the substances considered in this study, and information on the analytical procedures and experiments.

a<p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0058864#pone.0058864-Vink1" target="_blank">[94]</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0058864#pone.0058864-VelLeitner1" target="_blank">[96]</a>.</p>b<p>Calculated from ACD/Labs (<a href="http://www.acdlabs.com" target="_blank">www.acdlabs.com</a>, last accessed 19 January 2013).</p>c<p>Environmental Quality Standards <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0058864#pone.0058864-Chvre1" target="_blank">[97]</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0058864#pone.0058864-Kase1" target="_blank">[100]</a>.</p>d<p>First/second experiment.</p

Seasonal fluctuations of antibiotic sales are shown in the left column.

<p>ambulatory (dark grey, left axis) and hospitals (light grey, right axis). The data are normalized to the annual mean. On the right side of the figure, two columns of plots show periodograms for ambulatory sales and hospital usage (left to right, respectively). The peak in the ambulatory-sales periodogram occurs at 0.08 month⁻¹, i.e., a period of 12 months for these sales, indicated by the dashes.</p

Description of the antibiotics sales datasets.

<p>Ambulatory data sales were provided by OFAC for the Canton de Vaud. These data were downscaled to the Lausanne population based on pharmacy density. Hospital data were extrapolated based on that provided by the CHUV considering the total number of hospital beds in Lausanne.</p

Monthly variations of dry weather flow at the Vidy Bay WTP inlet.

<p>Flow is normalized to the annual mean flow, which is m³. The monthly baseflow fluctuates between +40/−25% of the mean.</p

Schematic view of the Vidy Bay WTP basin considered in this study.

<p>The main pipes of the collection system are illustrated with bold lines. Hospitals and clinics for acute somatic treatment are located using grey pentagons. The total number of hospital beds in the basin is about 1600, which corresponds to a total of approximately 8 beds per 1000 inhabitant.</p