The scattering effects on the visibility measurements of laser transmissometer in rain and fog

Ma, Yiwei; Liu, Wenrong; Gao, Huiliang; Chen, Nan; Xiong, Xiaozhen

doi:10.1016/j.ijleo.2017.11.150

Cited by 18 publications

(6 citation statements)

References 8 publications

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“…The ultrasonic fog machine produces fog particles with an average diameter of 0.4μm 27 , while the combustion of the smoke cake yields smoke particles with an average diameter of 160 nm 26 . Given that the laser's wavelength is 405 nm, the Mie scattering principle is applicable.…”

Section: Methodsmentioning

confidence: 99%

The research on infrared radiation affected by smoke or fog in different environmental temperatures

Li,

Wen,

et al. 2024

Sci Rep

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Infrared thermal imaging camera as a non-contact monitoring of the object to be measured is widely used in fire detection, driving assistance and so on. Although there are many related studies, there is a lack of research on the influence of fog or smoke on infrared imaging under different environmental temperatures. To address this shortcoming, The temperature of both the environment and the target in this experiment is controlled by PID technology. The smoke or fog environment is generated using a smoke cake or an ultrasonic fog machine. The temperature of the target was measured by infrared thermal imaging camera. It was observed that as the temperature of the environment increases, the measured temperature of the target also increases. However, the change in temperature is more pronounced in the fog environment compared to either the smoke environment or the normal environment. It has been found through research that environmental radiation causes temperature changes in fog droplets. Therefore, Infrared radiation is less affected in the smoke environment and more affected in the fog environment. Additionally, when the environmental temperature is close to the target's temperature, the infrared image becomes blurred.

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Section: Methodsmentioning

confidence: 99%

The research on infrared radiation affected by smoke or fog in different environmental temperatures

Li,

Wen,

et al. 2024

Sci Rep

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“…Visibility is known as the meteorological optical range (MOR) determined by the amount of light extinction by coal dust. According to the Koschmieder’s formula in eq 10 , the atmospheric visibility ( V ) was derived by the following relationship: 17 …”

Section: Theory and Methodsmentioning

confidence: 99%

“…Ma et al numerically explored the visibility by the Monte-Carlo method. 17 The results indicated that single scattering is the main factor introducing the visibility errors, and the multiplescattering effect may be not negligible, especially for the lowvisibility atmosphere. Molnaŕ et al found that the hygroscopic growth rate had a significant effect on the visibility under ambient RH conditions.…”

Section: Introductionmentioning

confidence: 95%

“…This is because the visibility is inversely related to extinction characteristics, which are dependent on the scattering and absorption of particles. Ma et al numerically explored the visibility by the Monte-Carlo method . The results indicated that single scattering is the main factor introducing the visibility errors, and the multiple-scattering effect may be not negligible, especially for the low-visibility atmosphere.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Effect of Extinction Characteristics of Coal Dust on Visibility

Yan

Liu

et al. 2022

ACS Omega

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A good knowledge of the reduction mechanism of visibility is fundamental to developing preventive strategies in coal mines. In this work, the Mie theory was selected for investigating the absorption and scattering of coal dust. A prediction model for evaluating the visibility was developed based on the extinction characteristics of coal dust. The optical properties have been discussed to simplify the model and clarify the relationships among the different wavelengths and diameters. Additionally, the variety of extinction coefficients can be reasonably used in guiding the calculated visibility under different conditions. The experimental results demonstrated that the reduction of visibility was attributed to the synergistic effect of the extinction of coal dust and droplet. For the field application of this prediction model, the relative errors of the calculated and measured visibility were 9.8 and 7.1% from models I and II, which reflected the small deviation between the two methods. The prediction model can accurately describe the visibility in mines due to coal dust pollution. The exploration results provide a significant reference for the development and application of air cleaning technology for increased visibility.

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“…Lidar is an active remote sensing tool with high spatial and temporal resolution and continuous observation. Laser beam can interact with atmospheric aerosol particles, so the atmospheric optical parameters can be detected and inverted such as atmospheric extinction coefficient and backscatter coefficient (Ma et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Processing Jump Point of Lidar Detection Data and Inversing the Aerosol Extinction Coefficient

Zhang

Zhao

Liu

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. For a long time, the research of the optical properties of atmospheric aerosols has aroused a wide concern in the field of atmospheric and environmental. Many scholars commonly use the Klett method to invert the lidar return signal of Mie scattering. However, there are always some negative values in the detection data of lidar, which have no actual meaning，and which are jump points. The jump points are also called wild value points and abnormal points. The jump points are refered to the detecting points that are significantly different from the surrounding detection points, and which are not consistent with the actual situation. As a result, when the far end point is selected as the boundary value, the inversion error is too large to successfully invert the extinction coefficient profile. These negative points are jump points, which must be removed in the inversion process. In order to solve the problem, a method of processing jump points of detection data of lidar and the inversion method of aerosol extinction coefficient is proposed in this paper. In this method, when there are few jump points, the linear interpolation method is used to process the jump points. When the number of continuous jump points is large, the function fitting method is used to process the jump points. The feasibility and reliability of this method are verified by using actual lidar data. The results show that the extinction coefficient profile can be successfully inverted when different remote boundary values are chosen. The extinction coefficient profile inverted by this method is more continuous and smoother. The effective detection range of lidar is greatly increased using this method. The extinction coefficient profile is more realistic. The extinction coefficient profile inverted by this method is more favorable to further analysis of the properties of atmospheric aerosol. Therefore, this method has great practical application and popularization value.

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The scattering effects on the visibility measurements of laser transmissometer in rain and fog

Cited by 18 publications

References 8 publications

The research on infrared radiation affected by smoke or fog in different environmental temperatures

The research on infrared radiation affected by smoke or fog in different environmental temperatures

Research on the Effect of Extinction Characteristics of Coal Dust on Visibility

Processing Jump Point of Lidar Detection Data and Inversing the Aerosol Extinction Coefficient

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