Characterizing Drift Behavior in Type S Thermocouples to Predict In-use Temperature Errors

2019 ◽  
Vol 41 (1) ◽  
Author(s):  
E. Webster ◽  
P. Saunders
2010 ◽  
Vol 64 (5) ◽  
pp. 1360-1372 ◽  
Author(s):  
Sara M. Sprinkhuizen ◽  
Maurits K. Konings ◽  
Martijn J. van der Bom ◽  
Max A. Viergever ◽  
Chris J. G. Bakker ◽  
...  

2011 ◽  
Vol 67 (2) ◽  
pp. I_1123-I_1128
Author(s):  
Kentaro HAYASHI ◽  
Takayuki SASAKI ◽  
Akihiro YAMAMOTO ◽  
Syogo TOMABECHI ◽  
Akiyoshi NAKAYAMA ◽  
...  

2020 ◽  
Author(s):  
Katharina Seelmann ◽  
Martha Gledhill ◽  
Steffen Aßmann ◽  
Arne Körtzinger

Abstract. Due to its accurate and precise character, the spectrophotometric pH detection is a common technique applied in measurement methods for carbonate system parameters. However, impurities in the used pH indicator dyes can influence the measurements quality. The work described here focuses on influences from impurities in the pH indicator dye bromocresol green (BCG) on spectrophotometric seawater total alkalinity (AT) measurements. First, a high-performance liquid chromatography (HPLC) purification method for BCG was developed. A subsequent analysis of BCG dye from four different vendors with this method revealed different types and quantities of impurities. After successful purification, AT measurements with purified and unpurified BCG were carried out using the novel autonomous analyzer CONTROS HydroFIA® TA. Long-term measurements in the laboratory revealed a direct influence of impurity types and quantities on the drift behavior of the analyzer. The purer the BCG, the smaller was the drift increment per measurement. Furthermore, we could show that a certain impurity in some indicator dyes changed the drift pattern from linear to non-linear, which can impair the AT measurements during a long-term deployment of the system. Laboratory performance characterization experiments revealed no improvement of the measurement quality (precision and accuracy) by using purified BCG as long as the impurities of the unpurified dye do not exceed a quantity of 2 % (relationship of peak areas in the chromatogram). However, BCG with impurity quantities higher than 6 % provided AT values, which failed fundamental quality requirements. Concluding, to gain optimal AT measurements, an indicator purification is not necessarily required as long as the purchased dye has a purity level of at least 98 %.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Shailza Negi ◽  
Pankaj Bahuguna ◽  
Anoop Dobriyal

Water mites are a large group of macroinvertebrates that are very vulnerable to contamination and environmental changes. As a result, they are often used to monitor water quality. Khankra gad stream, a third-order perennial spring-fed stream of the Alaknanda River in Uttarakhand, India, was studied to determine the drift behavior of water mites and water quality. Drift nets were set up for 24 hours in both spots of the Khankra stream where there was little or no human influence over a two-year sampling period (June 2018-20). Every four hours, the nets were changed out with new ones. Water mites signify a particular drift month and diel drift pattern. The majority of the drift mite species were present in considerably higher numbers in the daytime. During the two-year study period, a total of 2503 mite samples were collected from the Khankra stream, from which 204 water mite species drifted. The least number of Hydrachnidia (694) were collected from Spot-1, and the highest (1809) were collected from Spot-2, with 106 water mites drifting from Spot-1 and 134 mites drifting from Spot-2 during the study period. From Spot-2 maximum 25 mite species were collected and minimum 19 mite species were collected from Spot-1. For various mite species, the DBDI value ranged from 0.155 (July) to 0.204 (April) in Spot-1 and 0.134 (July) to 0.149 (February) in Spot-2. It was also observed that maximum water mite species were day-drifter. The physico-chemical parameters of the Khankra stream were also reported. The effect of ecological parameters on mite drift was investigated using Canonical correspondence analysis (CCA).


2021 ◽  
Vol 38 (12) ◽  
pp. 2061-2070

Abstract Surface temperature measurements with naturally ventilated (NV) sensors over the Antarctic Plateau are largely subject to systematic errors caused by solar radiative heating. Here we examined the radiative heating error in Dronning Maud Land on the East Antarctic Plateau using both the newly installed automatic weather stations (AWSs) at NDF and Relay Station and the existing AWSs at Relay Station and Dome Fuji. Two types of NV shields were used in these AWSs: a multiplate radiation shield and a simple cylinder-shaped shield. In austral summer, the temperature bias between the force-ventilated (FV) sensor and the NV sensor never reached zero because of continuous sunlight. The hourly mean temperature errors reached up to 8°C at noon on a sunny day with weak wind conditions. The errors increased linearly with increasing reflected shortwave radiation and decreased nonlinearly with increasing wind speed. These features were observed in both the multiplate and the cylinder-shaped shields. The magnitude of the errors of the multiplate shield was much larger than that of the cylinder-shaped shield. To quantify the radiative errors, we applied an existing correction model based on the regression approach and successfully reduced the errors by more than 70% after the correction. This indicates that we can use the corrected temperature data instead of quality controlled data, which removed warm bias during weak winds in inland Dronning Maud Land.


2013 ◽  
Vol 40 (12) ◽  
pp. 1213001
Author(s):  
王晓章 Wang Xiaozhang ◽  
李琦 Li Qi ◽  
钟文 Zhong Wen ◽  
王骐 Wang Qi

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