Using Longwave Infrared Hyperspectral Imaging for a Quantitative Atmospheric Tracer Monitoring in Outdoor Environments  

作　　者：Eitan Hirsch Eyal Agassi Alon Manor Eitan Hirsch;Eyal Agassi;Alon Manor(Environmental Physics Department, Environmental Sciences Division, Israel Institute for Biological Research, Ness Ziona, Israel)

机构地区：[1]Environmental Physics Department, Environmental Sciences Division, Israel Institute for Biological Research, Ness Ziona, Israel

出　　处：《International Journal of Geosciences》2021年第3期233-252,共20页地球科学国际期刊（英文）

摘　　要：Quantitative real-time retrieval of concentration-lengths (CL) through gaseous plumes is an important tool for environmental monitoring, enabling remote monitoring of emissions from industrial facilities and risk assessment in scenarios of toxic gas releases. The adoption of LWIR (Long Wave InfraRed) hyperspectral imaging as a leading technique for remote gas plume detection paved the way for an introduction of a precise CL estimation and two-dimensional (2D) mapping. A novel methodology for evaluating and characterizing the performance of a retrieval algorithm is presented. The algorithm utilizes state-of-the-art retrieved hyperspectral 2D mapping and is applied on a series of localized atmospheric tracer gas (SF_{<span style="font-family:Verdana;">6</span>}<span style="font-family:Verdana;">) releases in monitored environmental conditions. The retrieved CL distributions are compared to a numeric atmospheric T&D (Transport and Diffusion) model. Satisfactory agreement between retrieved and simulated CL prediction is manifested, and the uncertainty involved is quantified. Possible sources for the remained discrepancies between retrieved and simulated CL values are characterized, and methods to minimize them are discussed.</span>Quantitative real-time retrieval of concentration-lengths (CL) through gaseous plumes is an important tool for environmental monitoring, enabling remote monitoring of emissions from industrial facilities and risk assessment in scenarios of toxic gas releases. The adoption of LWIR (Long Wave InfraRed) hyperspectral imaging as a leading technique for remote gas plume detection paved the way for an introduction of a precise CL estimation and two-dimensional (2D) mapping. A novel methodology for evaluating and characterizing the performance of a retrieval algorithm is presented. The algorithm utilizes state-of-the-art retrieved hyperspectral 2D mapping and is applied on a series of localized atmospheric tracer gas (SF_{<span style="font-family:Verdana;">6</span>}<span style="font-family:Verdana;">) releases in monitored environmental conditions. The retrieved CL distributions are compared to a numeric atmospheric T&D (Transport and Diffusion) model. Satisfactory agreement between retrieved and simulated CL prediction is manifested, and the uncertainty involved is quantified. Possible sources for the remained discrepancies between retrieved and simulated CL values are characterized, and methods to minimize them are discussed.</span>

关 键 词：HYPERSPECTRAL INFRARED Gaseous Plumes Concentration-Length Quantification Atmospheric Transport and Diffusion (T&D) Model 

分 类 号：P73[天文地球—海洋科学]