Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement

Temperature sensors may produce a measurement error of up to 1 °C because of the influence of solar radiation. In order to obtain a relatively minimal temperature error, a new temperature observation system was proposed in this paper for measuring surface air temperatures. Firstly, a radiation shiel...

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Main Authors: Qingquan Liu, Wei Jin, Jie Yang, Huanan Zhu, Wei Dai
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/3/523
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author Qingquan Liu
Wei Jin
Jie Yang
Huanan Zhu
Wei Dai
author_facet Qingquan Liu
Wei Jin
Jie Yang
Huanan Zhu
Wei Dai
author_sort Qingquan Liu
collection DOAJ
description Temperature sensors may produce a measurement error of up to 1 °C because of the influence of solar radiation. In order to obtain a relatively minimal temperature error, a new temperature observation system was proposed in this paper for measuring surface air temperatures. Firstly, a radiation shield was designed with two aluminum plates, eight vents, and a multi-layer structure which is able to resist direct solar radiation, reflected radiation, and upwelling long-ware radiation, as well as ensuring the temperature sensor probe could work effectively. Then, the effect of different solar radiation intensities, wind speeds, scattered radiation intensities, long-wave radiation intensities, and underlying surface reflectivity levels on radiation error was calculated through a computational fluid dynamics (CFD) method. The mapping relationship was established between the various influencing factors and the solar radiation error. A back-propagation (BP) network algorithm was used to fit the discrete data obtained from the simulation to obtain the solar radiation error correction equation. Finally, the solar radiation error correction equation was verified. Outdoor experiments were conducted to confirm this system’s measurement accuracy. According to the experimental findings, the root-mean-square error was only 0.095 °C, which is a relatively high degree by which to reduce the temperature error. In addition, the average difference between the corrected value of the temperature observation system and the reference value was barely 0.084 °C.
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spelling doaj.art-ef88c3fa7e3f4554abb3ddc5996382662023-11-17T09:32:55ZengMDPI AGAtmosphere2073-44332023-03-0114352310.3390/atmos14030523Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature MeasurementQingquan Liu0Wei Jin1Jie Yang2Huanan Zhu3Wei Dai4Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaKey Laboratory of MEMS of the Ministry of Education, Southeast University, Nanjing 210009, ChinaTemperature sensors may produce a measurement error of up to 1 °C because of the influence of solar radiation. In order to obtain a relatively minimal temperature error, a new temperature observation system was proposed in this paper for measuring surface air temperatures. Firstly, a radiation shield was designed with two aluminum plates, eight vents, and a multi-layer structure which is able to resist direct solar radiation, reflected radiation, and upwelling long-ware radiation, as well as ensuring the temperature sensor probe could work effectively. Then, the effect of different solar radiation intensities, wind speeds, scattered radiation intensities, long-wave radiation intensities, and underlying surface reflectivity levels on radiation error was calculated through a computational fluid dynamics (CFD) method. The mapping relationship was established between the various influencing factors and the solar radiation error. A back-propagation (BP) network algorithm was used to fit the discrete data obtained from the simulation to obtain the solar radiation error correction equation. Finally, the solar radiation error correction equation was verified. Outdoor experiments were conducted to confirm this system’s measurement accuracy. According to the experimental findings, the root-mean-square error was only 0.095 °C, which is a relatively high degree by which to reduce the temperature error. In addition, the average difference between the corrected value of the temperature observation system and the reference value was barely 0.084 °C.https://www.mdpi.com/2073-4433/14/3/523naturally-ventilated radiation shieldcomputational fluid dynamicsneural networkradiation errortemperature sensor
spellingShingle Qingquan Liu
Wei Jin
Jie Yang
Huanan Zhu
Wei Dai
Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
Atmosphere
naturally-ventilated radiation shield
computational fluid dynamics
neural network
radiation error
temperature sensor
title Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
title_full Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
title_fullStr Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
title_full_unstemmed Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
title_short Design and Experiments of a Naturally-Ventilated Radiation Shield for Ground Temperature Measurement
title_sort design and experiments of a naturally ventilated radiation shield for ground temperature measurement
topic naturally-ventilated radiation shield
computational fluid dynamics
neural network
radiation error
temperature sensor
url https://www.mdpi.com/2073-4433/14/3/523
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AT huananzhu designandexperimentsofanaturallyventilatedradiationshieldforgroundtemperaturemeasurement
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