Heating Control of Heated Twin Radiosonde Humidity Sensor Based on DMC

Sun, Ninga; Zhang, Ying-chaoa; Zhang, Wei-guoa; Cheng, En-lua; YunPing,

doi:10.1515/pomr-2016-0046

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…At the same time, the form of BCR2 was manganese oxide, which greatly reduced biological efficacy and provided the guarantee for the safe treatment of copper after biological iron sulfide composites removing copper. Many articles reported that SRB had a vertical distribution in sediments of 12-24 cm where bacterial abundances in general and SRB abundances in particular were both maximal; therefore, depth might also be the main reason that affects the heavy metal removal rate of SRB (Jiang et al 2009, Varon-Lopez et al 2014, Sun et al 2016, de Oliveira et al 2016.…”

Section: Discussionmentioning

confidence: 99%

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Liang

Lan

Xie

et al. 2019

Rev. Int. Contam. Ambie.

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The growth of biological iron sulfide composites and their efficacy for changing the geochemical forms of copper in sediment have been investigated. The role of bacteria in copper removal was identified using copper concentrations in three forms extracted via three sequential extraction methods. Furthermore, bacterial community diversity was investigated between different treatments. Copper was transformed from the weak acidic extraction state to the reduction state and the oxidation state under the action of biological iron sulfide composites. The conversion rates of copper from the weak acidic extraction state to other states was up to 76.66% and the increasing rates of the reduction state was up to 177.85%. Higher dissolved oxygen does harm sulfate reducing bacteria and results in low removal efficiency of copper. It can be inferred that differences in the bacterial community structure resulted in differences between conversion rates and biological efficacy through the correlation between copper concentration and alpha diversity or beta diversity. Furthermore, bacterial 16S rRNA gene analysis showed that Proteobacteria, which sulfate reducing bacteria belong to, were predominant in the group with higher removal efficiency. The biological iron sulfide composites affected the removal efficiency of copper by increasing the sulfate reducing bacteria activity inside the sediments.

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Section: Discussionmentioning

confidence: 99%

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Liang

Lan

Xie

et al. 2019

Rev. Int. Contam. Ambie.

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Fluid dynamics analysis and experimental study for solar radiation error correction of sounding humidity sensor

Zhang

Xie

Liu

et al. 2021

Review of Scientific Instruments

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In order to correct the solar radiation error of relative humidity, the mainstream capacitive sounding humidity sensor HC103M2 is selected and investigated by simulation analysis and experimental verification. First, the basic theories for solar radiation error and sensor error itself are elaborated, and simulational and experimental platforms are introduced. The computational fluid dynamics (CFD) method is utilized to theoretically investigate the dry error of the humidity sensor caused by solar radiation heating, which is related to radiation intensity, altitude, and solar elevation angle as well as reflectivity, thickness, and shape of the shield. Then, in order to verify the accuracy of the simulation, an experimental platform including a humidity sensor and two temperature sensors to measure the solar radiation heating is built to analyze the relative error of humidity obtained by the CFD simulation and experiment. It is found that their maximum deviation is 3.30% and the average error is 1.94%, which indicates that the calculation using the CFD method is accurate and feasible. In order to easily and operationally predict the solar radiation heating of the humidity sensor, a back propagation (BP) neural network fusion algorithm based on three inputs of radiation intensity, air pressure, and solar elevation angle is proposed. Compared with the solar radiation heating obtained by CFD simulation, the maximum absolute error is about 0.2 K, and the relative error of humidity is about ±1.30%. Finally, a case of vertical humidity profile correction considering the temperature-sensitive error of HC103M2 is analyzed. The response time of sensor measurement and the airflow into the shield are discussed as well. The corrected results after taking solar radiation heating into account are more similar to those measured by RS92 and cryogenic frost point hygrometer (CFH). This result shows that the prediction model is accurate, which may be applied to correct the dry error and further improve the accuracy of humidity measurement.

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Heating Control of Heated Twin Radiosonde Humidity Sensor Based on DMC

Abstract: In order to effectively solve condensation and icing problems of radiosonde in low-

Cited by 2 publications

References 19 publications

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

The Study of the Role of Biological Iron Sulfide Composites on Copper Removal by Changing Geochemical Forms

Fluid dynamics analysis and experimental study for solar radiation error correction of sounding humidity sensor

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