台湾海峡7.3级强震前的热红外增温异常

描述了１９９４年９月１６日台湾海峡７．３级地震前，在震中区附近上空观测到大面积的突发性增温异常带。并对该异常带的形成机理作了探索。     

COMPARISON OF THERMAL SCANNING AND IN SITU TECHNIQUES FOR MONITORING THERMAL DISCHARGES1

ABSTRACT: In situ and remote sensing techniques for measuring thermal plumes are compared for data taken at the Point Beach Nuclear Power Plant on Lake Michigan for five separate occasions. The in situ method employed a boat whose position was determined with a microwave ranging system. Temperatures at the surface and at various depths were measured with fast response thermistor probes. The remote sensing technique utilized an infrared scanner in the 8 to 14 micron range. Comparison of the plumes indicates good agreement with respect to plume configurations, areas within isotherms and centerline temperature decays for all except one occasion, a calm day characterized by no waves, low wind and ambient current velocities. Robable reasons for disagreement under such ambient conditions are discussed. The inherent advantages and disadvantages of each method are discussed in light of the results of the five sets of data. This includes both the data collecting and data analyzing procedures. It is concluded that judicious combination of both methods offers a better picture of thermal plumes than can be obtained by either technique alone.     

不同红外光度法对水中石油类分析的研究

本文用两种不同的红外光度法(分散红外分光光度法和非分散红外光度法)分别测定了水中油，对两种不同的红外光度法在分析测试过程中的各种情况进行了分析研究。分析研究结果表明，分散红外分光光度法对不同组成的样品有更好的适应性。     

The biodegradation of blends of polycaprolactone and polyethylene exposed to a defined consortium of fungi

Polycaprolactone, polyethylene, and blends of polycaprolactone and polyethylene—in which the portion of polycaprolactone was 80 and 10%—were exposed for periods of from 1 to 16 weeks to a consortium of five fungi in a nutrient salt medium containing 0.8 mg/ml potato dextrose. After exposure the samples were cleaned, dried, and analyzed for weight loss, changes in their molecular weight distribution as determined by gel permeation chromatography, molecular changes as seen by Fourier transform infrared spectrometry (FT-IR), and changes in tensile strength. Tensile strength of polycaprolactone began to decrease after 1 week of exposure, even though the molecular weight distribution showed no change. FT-IR spectra indicated a loss of amorphous polycaprolactone from the surface of samples.Certain commercial products ae identified in order to specify experimental procedures adequately. In no case does such identification imply endorsement by the National Institute of Standards and Technology or that the material is necessarily the best available for the purpose.     

ESTIMATING EVAPORATION FROM UTAH'S GREAT SALT LAKE USING THERMAL INFRARED SATELLITE IMAGERY1

ABSTRACT: Water surface temperatures can be obtained from satellite thermal remote sensing. Landsat and other satellites sense emitted thermal infrared radiation on a regular basis over much of the earth's surface. Evaporation is accomplished by the net transport of mass from the water surface to the atmosphere. The evaporative transfer predominantly determines the water surface temperature. Hence, there should be good correlations between evaporation and surface temperatures. Previous investigations on Utah Lake with satellite-derived temperatures and pan- and model-derived evaporation values have produced good correlations. However, more study was required with additional satellite data and evaporation measurements for saltwater conditions. The applicability of this method for estimating evaporation on Utah's Great Salt Lake was of particular interest at this time because of the unprecedented rise of this terminal lake. Satellite thermal data and evaporation data from four different years were obtained for the Great Salt Lake and the surrounding region. More than 350 correlation and linear regression analyses were performed on the temperature and evaporation data. The lake salt concentrations were also factored into the analyses in several different ways. The correlation results were generally very good and a methodology for using satellite-derived water surface temperatures along with salt concentrations was developed to estimate evaporation.     

Infrared spectroscopy studies of the photooxidation of a polyethylene nonwoven fabric

The photooxidation of a nonwoven polyethylene fabric was investigated using Fourier transform infrared photoacoustic spectroscopy. The infrared spectroscopic data indicated that hydroperoxide, alcohol, aldehyde, ketone, carboxylic acid, and anhydride groups were formed as the products of the photooxidation of the polyethylene fabric and that the relative amount of carboxyl among all carbonyls increased as the photooxidation progressed. The distribution of the photooxidation products was inhomogeneous between the two surfaces of the fabric. The highest degree of photooxidation occurred on the surface of the fabric facing the UV radiation source, whereas the lowest degree of photooxidation was on the back surface of the fabric. We also found that the polyethylene nonwoven fabric showed a slower photooxidation rate than the polypropylene nonwoven fabric. The UV radiation at 254 nm caused photooxidation of polyethylene. No photooxidation was observed in the fabric exposed to the UV radiation at 350 nm under the same conditions.     

Automatic multistage classification system for plastic bottles recycling

In this work, an artificial intelligent plastic bottles classification system is proposed, developed and tested. Classifying bottles based on their chemical composition and color is attempted. Near infrared (NIR) reflectance measurements are used to identify bottle composition class. Charged coupled device (CCD) camera with the fusion of quadratic discriminant analysis (QDA) and tree classifiers are used to detect the bottle color.Results have shown that the dip wavelength and average values of the reflective NIR spectrum could be used as features to distinguish between chemical compositions. This resulted in 94.14% classification accuracy. In addition to various preprocessing techniques, the use of principal component analysis algorithm for bottle orientation facilitates the detection of the bottle color avoiding mixing it with the bottle's label or cap. Ninety-two percent color classification accuracy is achieved for clear bottles while 96% is achieved for opaque one, with proposed method. The aggregate classification accuracy of the combined system (i.e. accurate classification of color as well as chemical composition) is 83.48%.     

Sustainable oil-in-water analysis using a supercritical fluid carbon dioxide extraction system directly interfaced with infrared spectroscopy

A direct aqueous supercritical fluid extraction (SFE) system using carbon dioxide provides a sustainable means by which a vast range of industries may continue to depend on well established infrared (IR) techniques to determine oil-in-water. The SFE-IR method provides an environmentally friendly substitute for current national standard IR reference methods for measuring oil-in-water that rely on using increasingly restricted ozone depleting solvents whose manufacture is being phased out in accordance with international law. The SFE-IR analysis of a 500 mL water sample can be accomplished in 15 min. A rapid on-line SFE-IR calibration method has been implemented. With this calibration method, SFE-IR accuracy for determining diesel oil in 500 mL spiked water samples using single wave number measurement was 86.0%–98.8% with precision (RSD) ranging from 2.5%–7.0%. Using a general purpose calculation which involves measuring infrared absorbance values at three di erent wave numbers, SFE-IR method accuracy for determining diesel oil in 500 mL spiked water samples was 83.7%–92.2% with RSD 1.0%–9.3%. Data is presented that indicates current long established national standard IR reference methods involving three wave number calculations should be reviewed since, without careful consideration, the inclusion of calculated aromatic hydrocarbon species contributions to final oil-in-water concentration values may provide less accurate results.     

基于热成像技术的污水排放源识别研究

污水暗排口是一种较难监测的污染源.为了更好地探索监测这种污染源的方法,本研究以北京市城区积水潭处的护城河为对象,利用热成像技术对模拟污水暗排口进行了探测.结果表明,模拟污水与河道中的原水的温度分布存在显著差异,原水温度分布均匀,而模拟污水排入后水面温度呈辐射状同心圆分布,从红外图像上可以明确地把两种水体区分开来.实验还研究了在异质水体排入时水面红外图像特征随时间的变化情况.结果表明,在有异质水体排入时,图像中会出现温度异常的水域;随着异质水体的持续排入,温度异常水域开始逐渐扩大.研究结果为利用热成像技术遥感监测污水暗排口提供了依据.     

红外光谱技术结合聚类分析用于海洋绿藻分类研究

利用傅里叶红外光谱研究了10种南极绿藻和6种浒苔,结果显示,傅里叶变换红外光谱主要由蛋白质、脂类化合物及多糖的振动吸收带组成。通过比较两类绿藻原始谱图,发现它们极为相似,在2000～500 cm-1范围内,即多糖吸收区有较小的差别。选取2000～500 cm-1范围的一阶导数进行系统聚类分析。10种南极绿藻、6种浒苔按其红外一阶导数的内在数理统计规律划归两类,南极绿藻为一类,浒苔为一类。傅里叶变换红外光谱技术结合化学统计学方法,为海洋藻类的分类研究提供一种新的方法。