复杂背景下被动FTIS定量遥感污染云团光谱

张骏; 荀毓龙

doi:10.11834/jrs.19980202

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复杂背景下被动FTIS定量遥感污染云团光谱
Quantitatively Remote Sensing Detection of the Polluted Cloud Spectra the Complicated Environments by Passive Fourier Transform Infrared Spectrometer
1998年第2期
纸质出版：1998
DOI： 10.11834/jrs.19980202
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[1]张骏,荀毓龙.复杂背景下被动FTIS定量遥感污染云团光谱[J].遥感学报,1998(02):89-93. DOI： 10.11834/jrs.19980202.

Zhang Jun Xun Yulong. Quantitatively Remote Sensing Detection of the Polluted Cloud Spectra the Complicated Environments by Passive Fourier Transform Infrared Spectrometer[J]. Journal of Remote Sensing, 1998, (2). DOI： 10.11834/jrs.19980202.

摘要

本文提出复杂背景下定量遥感污染云团光谱的算法。利用被动傅里叶变换红外光谱仪（ＦＴＩＳ）遥测目标气体和背景光谱数据及最小平方误差拟合方法，成功地解决了探测目标气体柱数密度和目标气体等效辐射温度。该处理方法不仅可用于特定污染云团的定量处理，而且可用于多种污染地区如发电厂、机场、城市交叉路口、垃圾处理站等对ＣＯ，ＣＯ２，ＮＯ，ＮＯ２，Ｎ２Ｏ，ＮＨ３，ＣＨ４，ＳＯ２，Ｈ２Ｏ，ＨＣＩ和ＨＣＨＯ等气体浓度的监测。最后，详细讨论了用该算法对模拟剂的处理结果。

Abstract

A model of simulated spectra for pollution cloud in a complicated environment is proposed. Using large background and target-gas spectra which are measured by passive Fourier transform infrared spectrometer （FTIS） and least-squares fitting procedures

we have simulated successfully the spectra of pollution gas. Simultaneously

the feature Parameters for pollution cloud

column density and effective radiative temperature of gas are given. The system can be operated in many different air pollution locations

e.g.

industrial plants

airports

crossroads

garbage-disposal sites

to determine passively the gas molecules concentrations of CO

CO2

NO2

N2O

NH3

CH4

SO2

H2O

HCl and HCHO in plumes. Finally

we discuss in detail the simulated results for simulant.

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