scholarly journals An Experimental Study of Water Vapor Pressure Change by Ambient Temperature at the Interface between Concrete and Fluid-Applied Membrane Layer

2009 ◽  
Vol 3 (1) ◽  
pp. 15-23
Author(s):  
Jin-Soo Ko ◽  
Byung-Yun Kim ◽  
Sung-Woo Park ◽  
Mun-Hwan Lee ◽  
Sung-Bok Lee
Keyword(s):  
Experimental Study ◽  
Water Vapor ◽  
Vapor Pressure ◽  
Ambient Temperature ◽  
Water Vapor Pressure ◽  
Pressure Change ◽  
Membrane Layer

Experimental study of ZrF62– stability in hydrothermal solutions at 90–255 ᵒC

2019 ◽  
pp. 107-111
Author(s):  
M. E. Tarnopolskaya ◽  
A. Yu. Bychkov
Keyword(s):  
Experimental Data ◽  
Experimental Study ◽  
Water Vapor ◽  
Vapor Pressure ◽  
Dissociation Constants ◽  
Water Vapor Pressure ◽  
Hydrothermal Solutions ◽  
Free Energies ◽  
Saturated Water Vapor ◽  
Saturated Water

The solubility of fluorite in HCl and HF solutions with a variable concentration of Zr at 90, 155, 205 and 255 ᵒC and the pressure of saturated water vapor were investigated. The results showed that the solubility of fluorite increases with increasing concentration of zirconium. Using the OptimA program, the free energies of the ZrF62– complex were determined from the experimental data, from which the dissociation constants of the reaction ZrF62– =Zr4+ + 6F- were calculated. The pK values were 29,86±0,13; 34,03±0,062; 38,28±0,033; 40,94± 0,079 at 90, 155, 205 and 255 ᵒС (saturated water vapor pressure).

Investigation of the humidity effects on SnO2-based sensors in CO detection

2006 ◽  
Vol 915 ◽  
Author(s):  
Cesare Malagu' ◽  
Michele Benetti ◽  
Maria Cristina Carotta ◽  
Alessio Giberti ◽  
Vincenzo Guidi ◽  
...  
Keyword(s):  
Water Vapor ◽  
Vapor Pressure ◽  
Gas Sensors ◽  
Water Vapor Pressure ◽  
Pressure Change ◽  
Fixed Temperature ◽  
Humidity Effects ◽  
Co Concentration ◽  
Co Detection ◽  
Temperature Water

AbstractAn algorithm for compensating water vapor pressure in CO detection is proposed here and tested on SnO2 thick-film gas sensors. For each sensor working at a fixed temperature, the conductance, G, is fitted by an analytical surface, whose expression can be inverted to determine the CO concentration once the water partial pressure is measured. As soon as the rate of water-vapor pressure change is slower than about 300 Pa/min, G is a function of the temperature, water vapor and CO concentration. If quicker water vapor variations occur instead, the sensing film undergoes a non-negligible transitory phenomenon during which G assumes different values even at fixed water vapor pressure and temperature. This phenomenon prevents the compensation from working properly. An explanation of the behavior is offered by the interpretation of kinetics equations at surface.

scholarly journals Water vapor pressure trends in south and southwest Iran

MAUSAM ◽  
2021 ◽  
Vol 68 (2) ◽  
pp. 335-348
Author(s):  
YOUNES KHOSRAVI ◽  
HASAN LASHKARI ◽  
HOSEIN ASAKEREH
Keyword(s):  
Time Series ◽  
Water Vapor ◽  
Vapor Pressure ◽  
Water Vapor Pressure ◽  
Sen’S Slope Estimator ◽  
Sen’S Slope ◽  
Ground Station ◽  
Mk Test ◽  
Slope Estimator ◽  
The Persian Gulf

Recognitionanddetectionofclimaticparameters inhave animportant role inclimate change monitoring. In this study, the analysis of oneofthe most importantparameters, water vapor pressure (WVP), was investigated. For this purpose, two non-parametric techniques, Mann-Kendall and Sen's Slope Estimator, were used to analyze the WVP trend and to determine the magnitude of the trends, respectively. To analyze these tests, ground station observations [10 stations for period of 44 years (1967-2010)] and gridded data [pixels with the dimension of 9 × 9 km over a 30-year period (1981-2010)] in South and SouthwestofIran were used. By programming in MATLAB software, the monthly, seasonal and annual WVP time series were extracted and MK and Sen's slope estimator tests were done. The results of monthly MK test on ground station observations showed that the significant downward trends are more considerable than significant upward trends. It also showed that the WVP highest frequency was more in warm months, April to September and the highest frequency of significant trends slope was in February and May. The spatial distribution of MK test of monthly gridded WVP time series showed that the upward trends were detected mostly in western zone and near the Persian Gulf in August. On the other hand, the downward trends through months. The maximum and minimum values of positive trends slope occurred in warm months and cold months, respectively. The analysis of the MK test of the annual WVP time series indicated the upward significant trends in the southeast and southwest zones of study area.  

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