In this study,we derived atmospheric profiles of temperature,moisture,and ozone,along with surface emissivity,skin temperature,and surface pressure,from infrared-sounder radiances under clear sky (cloudless) condition...In this study,we derived atmospheric profiles of temperature,moisture,and ozone,along with surface emissivity,skin temperature,and surface pressure,from infrared-sounder radiances under clear sky (cloudless) condition.Clouds were detected objectively using the Atmospheric Infrared Sounder under a relatively low spatial resolution and cloud-mask information from the Moderate Resolution Imaging Spectroradiometer under a high horizontal resolution;this detection was conducted using space matching.Newton’s nonlinear physical iterative solution technique is applied to the radiative transfer equation (RTE) to retrieve temperature profiles,relative humidity profiles,and surface variables simultaneously.This technique is carried out by using the results of an eigenvector regression retrieval as the background profile and using corresponding iterative forms for the weighting functions of temperature and water-vapor mixing ratio.The iterative forms are obtained by applying the variational principle to the RTE.We also compared the retrievals obtained with different types of observations.The results show that the retrieved atmospheric sounding profile has great superiority over other observations by accuracy and resolution.Retrieved profiles can be used to improve the initial conditions of numerical models and used in areas where conventional observations are sparse,such as plateaus,deserts,and seas.展开更多
As important components of air pollutant,volatile organic compounds(VOCs)can cause great harm to environment and human body.The concentration change of VOCs should be focused on in real-time environment monitoring sys...As important components of air pollutant,volatile organic compounds(VOCs)can cause great harm to environment and human body.The concentration change of VOCs should be focused on in real-time environment monitoring system.In order to solve the problem of wavelength redundancy in full spectrum partial least squares(PLS)modeling for VOCs concentration analysis,a new method based on improved interval PLS(iPLS)integrated with Monte-Carlo sampling,called iPLS-MC method,was proposed to select optimal characteristic wavelengths of VOCs spectra.This method uses iPLS modeling to preselect the characteristic wavebands of the spectra and generates random wavelength combinations from the selected wavebands by Monte-Carlo sampling.The wavelength combination with the best prediction result in regression model is selected as the characteristic wavelengths of the spectrum.Different wavelength selection methods were built,respectively,on Fourier transform infrared(FTIR)spectra of ethylene and ethanol gas at different concentrations obtained in the laboratory.When the interval number of iPLS model is set to 30 and the Monte-Carlo sampling runs 1000 times,the characteristic wavelengths selected by iPLS-MC method can reduce from 8916 to 10,which occupies only 0.22%of the full spectrum wavelengths.While the RMSECV and correlation coefficient(Rc)for ethylene are 0.2977 and 0.9999 ppm,and those for ethanol gas are 0.2977 ppm and 0.9999.The experimental results show that the iPLS-MC method can select the optimal characteristic wavelengths of VOCs FTIR spectra stably and effectively,and the prediction performance of the regression model can be significantly improved and simplified by using characteristic wavelengths.展开更多
This paper presents a new wireless system for the measurement of CO2 gas concentration for indoor and outdoor purposes based on low cost Non Dispersive Infrared sensors. The system has been implemented on a printed ci...This paper presents a new wireless system for the measurement of CO2 gas concentration for indoor and outdoor purposes based on low cost Non Dispersive Infrared sensors. The system has been implemented on a printed circuit board in order to obtain different aspects of the air pollution. Some experiments were achieved to evaluate the total system combined with an android application on a smartphone. Different tests were realized in a closed room nearly filled with students and also directly while driving on the road. Good results were obtained allowing a future use for air pollution mapping using numerous amounts of sensors inside vehicles.展开更多
[Objective] This study was to monitor the hot damage of high temperature on rice in summer by using MODIS data to estimate air temperature. [Method] A new statistical algorithm was introduced for daytime air temperatu...[Objective] This study was to monitor the hot damage of high temperature on rice in summer by using MODIS data to estimate air temperature. [Method] A new statistical algorithm was introduced for daytime air temperature （Ta） retrievals over east China by using the Moderate Resolution Imaging Spectroradiometer （MODIS） data, and the high temperature monitoring for rice in south China in 2007 summer was used to demonstrate. [Result] High temperature plays a key role in rice production during rice heading stage in summer in southern China. Using MODIS data to monitor the hot damage of high temperature is a feasible way to relieve agricultural disasters. [Conclusion] The result of this study provided a method to monitor hot damage of high temperature tn rice in summer of China.展开更多
基金project of the Ministry of Sciences and Technology of the People’s Republic of China (GYHY200706020)projects of National Natural Science Foundation of China ((40975034, 40505009)project of State Key Laboratory of Severe Weather (2008LASW-A01)
文摘In this study,we derived atmospheric profiles of temperature,moisture,and ozone,along with surface emissivity,skin temperature,and surface pressure,from infrared-sounder radiances under clear sky (cloudless) condition.Clouds were detected objectively using the Atmospheric Infrared Sounder under a relatively low spatial resolution and cloud-mask information from the Moderate Resolution Imaging Spectroradiometer under a high horizontal resolution;this detection was conducted using space matching.Newton’s nonlinear physical iterative solution technique is applied to the radiative transfer equation (RTE) to retrieve temperature profiles,relative humidity profiles,and surface variables simultaneously.This technique is carried out by using the results of an eigenvector regression retrieval as the background profile and using corresponding iterative forms for the weighting functions of temperature and water-vapor mixing ratio.The iterative forms are obtained by applying the variational principle to the RTE.We also compared the retrievals obtained with different types of observations.The results show that the retrieved atmospheric sounding profile has great superiority over other observations by accuracy and resolution.Retrieved profiles can be used to improve the initial conditions of numerical models and used in areas where conventional observations are sparse,such as plateaus,deserts,and seas.
基金supported by National Key Scientific Instrument and Equipment Development Project of China,Grant Nos.2013YQ220643the National 863 Program of China,Grant Nos.2014AA06A503.
文摘As important components of air pollutant,volatile organic compounds(VOCs)can cause great harm to environment and human body.The concentration change of VOCs should be focused on in real-time environment monitoring system.In order to solve the problem of wavelength redundancy in full spectrum partial least squares(PLS)modeling for VOCs concentration analysis,a new method based on improved interval PLS(iPLS)integrated with Monte-Carlo sampling,called iPLS-MC method,was proposed to select optimal characteristic wavelengths of VOCs spectra.This method uses iPLS modeling to preselect the characteristic wavebands of the spectra and generates random wavelength combinations from the selected wavebands by Monte-Carlo sampling.The wavelength combination with the best prediction result in regression model is selected as the characteristic wavelengths of the spectrum.Different wavelength selection methods were built,respectively,on Fourier transform infrared(FTIR)spectra of ethylene and ethanol gas at different concentrations obtained in the laboratory.When the interval number of iPLS model is set to 30 and the Monte-Carlo sampling runs 1000 times,the characteristic wavelengths selected by iPLS-MC method can reduce from 8916 to 10,which occupies only 0.22%of the full spectrum wavelengths.While the RMSECV and correlation coefficient(Rc)for ethylene are 0.2977 and 0.9999 ppm,and those for ethanol gas are 0.2977 ppm and 0.9999.The experimental results show that the iPLS-MC method can select the optimal characteristic wavelengths of VOCs FTIR spectra stably and effectively,and the prediction performance of the regression model can be significantly improved and simplified by using characteristic wavelengths.
文摘This paper presents a new wireless system for the measurement of CO2 gas concentration for indoor and outdoor purposes based on low cost Non Dispersive Infrared sensors. The system has been implemented on a printed circuit board in order to obtain different aspects of the air pollution. Some experiments were achieved to evaluate the total system combined with an android application on a smartphone. Different tests were realized in a closed room nearly filled with students and also directly while driving on the road. Good results were obtained allowing a future use for air pollution mapping using numerous amounts of sensors inside vehicles.
文摘为提高红托竹荪干燥品质并获得最佳干燥工艺,采用真空红外干燥(vacuum infrared drying,VID)、气流冲击干燥(air impingement drying,AID)、控湿干燥(moisture control drying,MCD)等不同干燥方式对红托竹荪进行对比研究,以热风干燥(hot air drying,HAD)作为对照组,研究不同干燥方式及温度对红托竹荪干燥品质的影响。试验结果表明不同干燥方式对竹荪宏观品质产生了显著影响,其中MCD可获得最小的色差∆E和收缩率,AID则能够保证较高的复水比;干燥速率方面,MCD在前期能够获得较高的干燥速率,但后期干燥速率会放缓,而AID在整个干燥过程都具有较高的干燥速率,干燥时间较短;在成分保留上,MCD可以保留较高含量的多糖、三萜和黄酮,而采用VID可以有效保护多酚。单位能耗随干燥温度的升高明显降低,不同方式下VID的干燥能耗值整体偏大,MCD的单位能耗最低(18.82 kW·h/kg)。通过主成分分析法,上述干燥方式对红托竹荪综合评分后得到的结果排序为:MCD>AID>VID>HAD,MCD干燥方式中采用60℃相对湿度为40%,保湿时间15min的干燥工艺综合品质较佳,在此加工方式下的红托竹荪综合评分为2.94,该研究可为红托竹荪高品质干燥提供一定参考。
文摘[Objective] This study was to monitor the hot damage of high temperature on rice in summer by using MODIS data to estimate air temperature. [Method] A new statistical algorithm was introduced for daytime air temperature （Ta） retrievals over east China by using the Moderate Resolution Imaging Spectroradiometer （MODIS） data, and the high temperature monitoring for rice in south China in 2007 summer was used to demonstrate. [Result] High temperature plays a key role in rice production during rice heading stage in summer in southern China. Using MODIS data to monitor the hot damage of high temperature is a feasible way to relieve agricultural disasters. [Conclusion] The result of this study provided a method to monitor hot damage of high temperature tn rice in summer of China.
