scholarly journals Evaluation of physical sampling efficiency for cyclone-based personal bioaerosol samplers in moving air environments

2012 ◽  
Vol 14 (9) ◽  
pp. 2430 ◽  
Author(s):  
Wei-Chung Su ◽  
Alexander D. Tolchinsky ◽  
Bean T. Chen ◽  
Vladimir I. Sigaev ◽  
Yung Sung Cheng
Keyword(s):  
Sampling Efficiency

Characteristics Sampling Efficiency and Battery Life of Smart Air Sampler System (SASS) 3000 and SASS 3100

2010 ◽  
Author(s):  
Jana Kesavan ◽  
Deborah Schepers ◽  
Tiffany Sutton ◽  
Paul Deluca ◽  
Michael Williamson ◽  
...  
Keyword(s):  
Battery Life ◽  
Sampling Efficiency ◽  
Air Sampler

Suction Lysimeter Modifications to Improve Sampling Efficiency and Prevent Wildlife Damage

2006 ◽  
Vol 5 (1) ◽  
pp. 77-79 ◽  
Author(s):  
Charles G. Crabtree ◽  
Tina M. Seaman
Keyword(s):  
Sampling Efficiency ◽  
Wildlife Damage

scholarly journals Dimethylamine and ammonia measurements with ion chromatography during the CLOUD4 campaign

2012 ◽  
Vol 5 (9) ◽  
pp. 2161-2167 ◽  
Author(s):  
A. P. Praplan ◽  
F. Bianchi ◽  
J. Dommen ◽  
U. Baltensperger
Keyword(s):  
Cosmic Rays ◽  
Sulphuric Acid ◽  
Ion Chromatography ◽  
Galactic Cosmic Rays ◽  
Cloud Chamber ◽  
Sampling Efficiency ◽  
Environmental Chamber ◽  
Mixing Ratios ◽  
Sampling Line ◽  
New Particles

Abstract. The CLOUD project investigates the influence of galactic cosmic rays on the nucleation of new particles in an environmental chamber at CERN. Dimethylamine (DMA) was injected intentionally into the CLOUD chamber to reach atmospherically relevant levels away from sources (up to 100 pptv) in order to study its effect on nucleation with sulphuric acid and water at 278 K. Quantification of DMA and also background ammonia (NH3) was performed with ion chromatography (IC). The IC method used together with the sampling line developed for CLOUD in order to measure NH3 and DMA at low pptv levels is described; the overall sampling efficiency of the method is discussed; and, finally, mixing ratios of NH3 and DMA measured during CLOUD4 are reported.

scholarly journals Maximizing Sampling Efficiency

2013 ◽  
Vol 04 (11) ◽  
pp. 1547-1557 ◽  
Author(s):  
Harmon S. Jordan
Keyword(s):  
Sampling Efficiency

scholarly journals Technical Note: Improved sampling of behavioral subsurface flow model parameters using active subspaces

2020 ◽  
Vol 24 (9) ◽  
pp. 4567-4574
Author(s):  
Daniel Erdal ◽  
Olaf A. Cirpka
Keyword(s):  
A Priori ◽  
Behavioral Model ◽  
Technical Note ◽  
Sampling Scheme ◽  
Model Parameters ◽  
Test Case ◽  
Sampling Efficiency ◽  
Subspace Decomposition ◽  
Plausible Model ◽  
Active Subspaces

Abstract. In global sensitivity analysis and ensemble-based model calibration, it is essential to create a large enough sample of model simulations with different parameters that all yield plausible model results. This can be difficult if a priori plausible parameter combinations frequently yield non-behavioral model results. In a previous study (Erdal and Cirpka, 2019), we developed and tested a parameter-sampling scheme based on active-subspace decomposition. While in principle this scheme worked well, it still implied testing a substantial fraction of parameter combinations that ultimately had to be discarded because of implausible model results. This technical note presents an improved sampling scheme and illustrates its simplicity and efficiency by a small test case. The new sampling scheme can be tuned to either outperform the original implementation by improving the sampling efficiency while maintaining the accuracy of the result or by improving the accuracy of the result while maintaining the sampling efficiency.

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