基于激光复合的甲烷泄漏遥测模型及算法仿真  

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

作　　者：朱首正 刘世界 王森远 唐国良 李春来 王建宇[1,3] Zhu Shouzheng;Liu Shijie;Wang Senyuan;Tang Guoliang;Li Chunlai;Wang Jianyu(School of Physics and Optoelectronic Engineering,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,Zhejiang,China;Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Key Laboratory of Space Active OptoElectronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院大学杭州高等研究院物理与光电工程学院,浙江杭州310024 [2]中国科学院上海光学精密机械研究所,上海201800 [3]中国科学院上海技术物理研究所空间主动光电技术重点实验室,上海200083 [4]中国科学院大学,北京100049

出　　处：《光学学报》2024年第24期235-247,共13页Acta Optica Sinica

基　　金：“十四五”国防预研基金(D040107);173基础研究重点项目(2021-JCJOZD025-11);“尖兵”“领雁”研发攻关计划(2023C03012)。

摘　　要：提出了一种基于激光遥测仪的复合厂区甲烷(CH4)泄漏率量化和泄漏源定位观测模型,并结合改进的高斯烟羽气团扩散模型进行泄漏率量化和定位算法仿真研究。该观测模型和算法利用小型化、连续化定点厂区监测设备优势,基于实际观测中的样本体积分数、风速、风向、采样点坐标和采样点数误差对反演的泄漏率和泄漏源坐标进行灵敏度分析。对提出的模型和优化算法进行了仿真验证,对实际观测中的各种误差影响进行量化表征。该观测模型的泄漏率量化和泄漏源定位算法研究可为目前厂区的CH4泄漏源量化和定位观测提供参考。Objective Methane(CH4)is a critical greenhouse gas with significant implications for the energy and environmental sectors.It plays a pivotal role in advancing global energy transitions.Despite its shorter atmospheric lifetime compared to carbon dioxide(CO_(2)),CH4’s permolecule radiative forcing is substantially higher.Anthropogenic CH4 emissions contribute significantly to global climate change,and making their reduction is a key strategy to mitigate global warming.The coal,oil,and gas industries account for most anthropogenic CH4 emissions.Quantifying CH4 leakage rates and pinpointing leakage sources are vital steps in achieving measurable CH4 emission reductions.However,the development of costeffective and efficient CH4 monitoring methods remains a challenge.While vehiclemounted and airborne observations offer mobility,they lack the continuity required for longterm plant monitoring.Fixedpoint remote sensing systems provide a promising alternative.In this paper,we propose a composite observation model leveraging laserbased TDLAS sensors for quantitative monitoring of CH4 leakage sources and rates.By utilizing miniaturized and universally adaptable observation equipment,the model can further provide solid theoretical and methodological support for global CH4 leakage emission monitoring.Methods We utilize an active laser TDLAS sensor,a miniaturized tachymeter,and a visiblelight camera to create an elevationbased model for leakage monitoring in industrial plants.The laser instrument measures the integral CH4 volume fraction along its path,while a scanning head enables broadarea observations.Using a visiblelight camera and rangefinder,an observation fieldofview model is constructed.The laser scans the field to capture CH4 volume fraction points,and coordinates are calculated based on the scanner’s angles and tachymeter data.This yields a comprehensive data matrix of CH4 volume fraction and location.Environmental parameters like temperature and pressure,obtained from meteorological stations,are factored into the

关 键 词：遥感与传感器 甲烷 泄漏定位 算法仿真 误差分析 激光遥测 

分 类 号：P407.5[天文地球—大气科学及气象学]