scholarly journals An infrared filter radiometer for atmospheric cluster-ion detection

2008 ◽  
Vol 79 (10) ◽  
pp. 106107 ◽  
Author(s):  
K. L. Aplin ◽  
R. A. McPheat
Keyword(s):  
Ion Detection ◽  
Filter Radiometer ◽  
Cluster Ion

Mechanistic insights into chloride ion detection from the atmospheric-pressure afterglow of an argon inductively coupled plasma

2018 ◽  
Vol 33 (11) ◽  
pp. 1981-1992 ◽  
Author(s):  
Joseph E. Lesniewski ◽  
William P. McMahon ◽  
Kaveh Jorabchi
Keyword(s):  
Atmospheric Pressure ◽  
Inductively Coupled Plasma ◽  
Chloride Ion ◽  
Ion Detection ◽  
Chlorinated Compounds ◽  
Inductively Coupled ◽  
Ion Formation ◽  
Cluster Ion

Detection of chloride ion from chlorinated compounds is influenced by cluster ion formation in the afterglow of an ICP.

ION DETECTION TECHNIQUES APPLIED TO RYDBERG ATOMS IN EXTERNAL FIELDS

1983 ◽  
Vol 44 (C7) ◽  
pp. C7-193-C7-208 ◽  
Author(s):  
F. Penent ◽  
C. Chardonnet ◽  
D. Delande ◽  
F. Biraben ◽  
J. C. Gay
Keyword(s):  
Rydberg Atoms ◽  
External Fields ◽  
Ion Detection ◽  
Detection Techniques

CLUSTER ION ACCELERATOR AND ITS APPLICATION FOR HIGH-PRECISION SURFACE POLISHING

2018 ◽  
Vol 66-2 ◽  
pp. 40-48 ◽  
Author(s):  
D. S. Kireev ◽  
◽  
A. V. Danilov ◽  
A. E. Ieshkin ◽  
V. S. Chernysh ◽  
...  
Keyword(s):  
High Precision ◽  
Surface Polishing ◽  
Ion Accelerator ◽  
Cluster Ion

scholarly journals Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks

2016 ◽  
Vol 9 (1) ◽  
pp. 53-62 ◽  
Author(s):  
R. D. García ◽  
O. E. García ◽  
E. Cuevas ◽  
V. E. Cachorro ◽  
A. Barreto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Artificial Neural Networks ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Mineral Dust ◽  
Dust Particles ◽  
Filter Radiometer ◽  
Artificial Neural

Abstract. This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a Precision Filter Radiometer (PFR) between 2003 and 2013. The analysis is limited to summer months (July–August–September), when the largest aerosol load is observed at IZO (Saharan mineral dust particles). The ANN AOD time series has been comprehensively validated against coincident AOD measurements performed with a solar spectrometer Mark-I (1984–2009) and AERONET (AErosol RObotic NETwork) CIMEL photometers (2004–2009) at IZO, obtaining a rather good agreement on a daily basis: Pearson coefficient, R, of 0.97 between AERONET and ANN AOD, and 0.93 between Mark-I and ANN AOD estimates. In addition, we have analysed the long-term consistency between ANN AOD time series and long-term meteorological records identifying Saharan mineral dust events at IZO (synoptical observations and local wind records). Both analyses provide consistent results, with correlations  >  85 %. Therefore, we can conclude that the reconstructed AOD time series captures well the AOD variations and dust-laden Saharan air mass outbreaks on short-term and long-term timescales and, thus, it is suitable to be used in climate analysis.

Sensitive, portable heavy-metal-ion detection by the sulfidation method on a superhydrophobic concentrator (SPOT)

One Earth ◽  
2021 ◽  
Author(s):  
Hiang Kwee Lee ◽  
Wenxiao Huang ◽  
Yusheng Ye ◽  
Jinwei Xu ◽  
Yucan Peng ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Ion ◽  
Heavy Metal Ion ◽  
Ion Detection ◽  
Metal Ion Detection

scholarly journals Cyanine-based Fluorescent Probe for Cyanide Ion Detection

2021 ◽  
Author(s):  
Mahesh Gosi ◽  
Nagaraju Marepu ◽  
Yeturu Sunandamma
Keyword(s):  
Fluorescent Probe ◽  
Ion Detection ◽  
Cyanide Ion
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