Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite

Shouzheng Zhu; Shijie Liu; Senyuan Wang; Guoliang Tang; Chunlai Li; Jianyu Wang

doi:10.3788/AOS240818

Acta Optica Sinica, Volume. 44, Issue 24, 2428009(2024)

Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite

Shouzheng Zhu^1,2,4, Shijie Liu¹, Senyuan Wang³, Guoliang Tang¹, Chunlai Li^1,3、*, and Jianyu Wang^1,3、**

¹School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang , China

²Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

³Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

⁴University of Chinese Academy of Sciences, Beijing 100049, China

show less

Abstract Get PDF(in Chinese)

Figures & Tables(16)

Fig. 1. Observation system based on laser telemetry and visible camera. (a) Simulation model; (b) observation scanning field of view and air mass overlay

Download full size

Fig. 2. Conversion relationship between systematic observation azimuth and wind azimuth angle

Download full size

Fig. 3. Wind direction coordinate transformation relationship of atmospheric dispersion model. (a) Before conversion; (b) after conversion

Download full size

Fig. 4. Two types of observation point scanning. (a) Y-direction scanning (flat scanning); (b) X-direction scanning (tilt scanning)

Download full size

Fig. 5. System data composition and algorithmic flow chart

Download full size

$Effects of error sources on leakage rate for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 6. Effects of error sources on leakage rate for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources on x-coordinate and y-coordinate of leakage source for IPPF algorithm. Effects of (a) RE of sample volume fraction, (b) error of wind speed, (c) error of wind direction, (d) error of sample coordinates, and (e) error of number of samples on x-coordinate of leakage source in IPPF algorithm; effects of (f) RE of sample volume fraction, (g) error of wind speed, (h) error of wind direction, (i) error of sample coordinates, and (j) error of number of samples on y-coordinate of leakage source in IPPF algorithm$

Fig. 7. Effects of error sources on x-coordinate and y-coordinate of leakage source for IPPF algorithm. Effects of (a) RE of sample volume fraction, (b) error of wind speed, (c) error of wind direction, (d) error of sample coordinates, and (e) error of number of samples on x-coordinate of leakage source in IPPF algorithm; effects of (f) RE of sample volume fraction, (g) error of wind speed, (h) error of wind direction, (i) error of sample coordinates, and (j) error of number of samples on y-coordinate of leakage source in IPPF algorithm

Download full size

$Effects of different error sources and atmospheric stability on leakage rate for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 8. Effects of different error sources and atmospheric stability on leakage rate for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources and atmospheric stabilization on x-coordinate of leakage source for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 9. Effects of error sources and atmospheric stabilization on x-coordinate of leakage source for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources and atmospheric stabilization on y-coordinate of leakage source for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 10. Effects of error sources and atmospheric stabilization on y-coordinate of leakage source for IPPF algorithm. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources on leakage rate for different algorithms. (a) RE of sample volume fraction; (b) error in wind speed; (c) error in wind direction; (d) error in sample coordinates; (e) error of number of samples$

Fig. 11. Effects of error sources on leakage rate for different algorithms. (a) RE of sample volume fraction; (b) error in wind speed; (c) error in wind direction; (d) error in sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources on leakage source x-coordinates for different algorithms. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 12. Effects of error sources on leakage source x-coordinates for different algorithms. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

$Effects of error sources on leakage source y-coordinates for different algorithms. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples$

Fig. 13. Effects of error sources on leakage source y-coordinates for different algorithms. (a) RE of sample volume fraction; (b) error of wind speed; (c) error of wind direction; (d) error of sample coordinates; (e) error of number of samples

Download full size

Table 1. Calculations of atmospheric diffusion coefficients for different atmospheric stability
View table
Table 1. Calculations of atmospheric diffusion coefficients for different atmospheric stability
Atmospheric stability type σ_y
A 0.22R_D/（1+0.0001R_D）^0.5
B 0.16R_D/（1+0.0001R_D）^0.5
C 0.11R_D/（1+0.0001R_D）^0.5
D 0.08R_D/（1+0.0001R_D）^0.5
E 0.06R_D/（1+0.0001R_D）^0.5
F 0.04R_D/（1+0.0001R_D）^0.5

Table 2. Parameters of simulation system
View table
Table 2. Parameters of simulation system
Parameter Value
h /m 40
Leakage source coordinates （2 m， 1 m）
Leakage intensity /（mg·s^-1） 500
Wind speed /（m·s^-1） 3
Wind direction /（°） 270

Table 3. Optimization parameter boundary settings in algorithm
View table
Table 3. Optimization parameter boundary settings in algorithm
Parameter Lower boundary Upper boundary
Leakage source X coordinate /m -∞ 500
Leakage source Y coordinate /m -∞ 500
Leakage intensity /（mg·s^-1） 0 ∞

Tools

Get Citation

Copy Citation Text

Shouzheng Zhu, Shijie Liu, Senyuan Wang, Guoliang Tang, Chunlai Li, Jianyu Wang. Simulations of Methane Leakage Remote Sensing Model and Algorithm Based on Laser Composite[J]. Acta Optica Sinica, 2024, 44(24): 2428009

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites