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In the present paper, Guanting Reservoir located in Zhangjiakou City, Hebei province and Yanqing District, Beijing, was selected as the study area, and Chromophoric dissolved organic matter (CDOM) content (represented by the CDOM absorption coefficient at 440 nm, aCDOM (440)) was inverted through semi-analytical method and empirical method. The data used in this paper include the spectral data (R (λ)) collected on October 26, 2013 over Guanting Reservoir and aCDOM (λ) measured in the laboratory. A semi-analytical method (QAA-CDOM) was validated and improved accordingly. The inversion result accuracy of QAA-CDOM was not bad, the root-mean-square error (RMSE) was 0.10 and the mean relative error (σ) was 10.8%. The QAA-CDOM method was improved by recalculating the value of Q (the ratio of upwelling irradiance to upwelling radiance just below the water surface) by the field spectral data to replace the fixed value. After this improvement, the inversion accuracy was slightly improved, with RMSE of 0.09 and σ of 10.2%. After that, four band ratios were used in linear regression with aCDOM (440) to build empirical inversion models. The results showed that the performance of the model based on Rrs (531)/Rrs (551) was the best, with R2 of 0.63. The RMSE and σ of the aCDOM(440) result inverted by the empirical method were 0.08 and 8.8% respectively. The empirical method was of higher precision than that of the semi-analytical method, but the bands and coeffi- cients used in the empirical method need to be calibrated by concurrently measured data in each study area. On the contrary, semi-analytical method does not need calibration, and is easier to be applied.

The present paper put forward a non-destructive detection method which combines semi-transmission hyperspectral imaging technology with manifold learning dimension reduction algorithm and least squares support vector machine (LSSVM) to recognize internal and external defects in potatoes simultaneously. Three hundred fifteen potatoes were bought in farmers market as research object, and semi-transmission hyperspectral image acquisition system was constructed to acquire the hyperspectral images of normal external defects (bud and green rind) and internal defect (hollow heart) potatoes. In order to conform to the actual production, defect part is randomly put right, side and back to the acquisition probe when the hyperspectral images of external defects potatoes are acquired. The average spectrums (390-1,040 nm) were extracted from the region of interests for spectral preprocessing. Then three kinds of manifold learning algorithm were respectively utilized to reduce the dimension of spectrum data, including supervised locally linear embedding (SLLE), locally linear embedding (LLE) and isometric mapping (ISOMAP), the low-dimensional data gotten by manifold learning algorithms is used as model input, Error Correcting Output Code (ECOC) and LSSVM were combined to develop the multi-target classification model. By comparing and analyzing results of the three models, we concluded that SLLE is the optimal manifold learning dimension reduction algorithm, and the SLLE-LSSVM model is determined to get the best recognition rate for recognizing internal and external defects potatoes. For test set data, the single recognition rate of normal, bud, green rind and hollow heart potato reached 96.83%, 86.96%, 86.96% and 95% respectively, and he hybrid recognition rate was 93.02%. The results indicate that combining the semi-transmission hyperspectral imaging technology with SLLE-LSSVM is a feasible qualitative analytical method which can simultaneously recognize the internal and external defects potatoes and also provide technical reference for rapid on-line non-destructive detecting of the internal and external defects potatoes.

In the present paper, the authors studied fluorescence resonance energy transfer (FRET) phenomenon between silver triangular nanoplates and bovine serum albumin (BSA)/Rhodamine 6G fluorescence complex, and established a fluorescence method for the detection of cobalt ions. We found that when increasing the silver triangular nanoplates added to certain concentrations of fluorescent bovine serum albumin (BSA)/Rhodamine 6G complex, the fluorescence of Rhodamine 6G would be quenched up to 80% due to the FRET between the quencher and donor. However, in the presence of cobalt ions, the disassociation of the fluorescent complex from silver triangular nanoplates occurred and the fluorescence of the Rhodamine 6G recovered. The recovery of fluorescence intensity rate (I/I0) has a good relationship with the cobalt ion concentration (cCO2+) added. Thus, the authors developed a fluorescence method for the detection of cobalt ions based on the FRET of silver triangular nanoplates and Rhodamine 6G.

As a biological adsorbent, Living Deinococcus radiodurans was used for removing radionuclide uranium in the aqueous solution. The effect factors on biosorption of radionuclide uranium were researched in the present paper, including solution pH values and initial uranium concentration. Meanwhile, the biosorption mechanism was researched by the method of FTIR and SEM/EDS. The results show that the optimum conditions for biosorption are as follows: pH = 5, co = 100 mg · L(-1) and the maximum biosorption capacity is up to 240 mgU · g(-1). According to the SEM results and EDXS analysis, it is indicated that the cell surface is attached by lots of sheet uranium crystals, and the main biosorpiton way of uranium is the ion exchange or surface complexation. Comparing FTIR spectra and FTIR fitting spectra before and after biosorption, we can find that the whole spectra has a certain change, particularly active groups (such as amide groups of the protein, hydroxy, carboxyl and phosphate group) are involved in the biosorption process. Then, there is a new peak at 906 cm(-1) and it is a stretching vibration peak of UO2(2+). Obviously, it is possible that as an anti radiation microorganism, Deinococcus radiodurans could be used for removing radionuclide uranium in radiation environment.

Three-dimensional fluorescence parameters can reflect classification, properties and content change of pollutants in wastewater treatment. In the present paper, by using three-dimensional fluorescence characteristic analysis, comparative analysis of conventional organic pollutants such as COD, TN and TP, and three dimensional fluorescence spectrum analysis, the classification and content of dissolved organic pollutants were identified. We studied fluorescence spectra, fluorescence peak (R. U.), fluorescence index (FI), humification index (HIX) of DOM's four components in the entrance and effluent water and interstitial water, as well as the correlation between these four components and COD, TN and TP. The results showed that the position and intensity of the characteristic fluorescence peak center changed significantly before and after sewage treatment, indicating that the relative composition and content of the organic wastewater varied with wastewater treatment. Furthermore, the test results presented that humic-like composition was not degraded significantly, while protein-like composition was degraded significantly. And the protein-like component and COD, TN and TP presented significant positive correlation. This paper analyzed the fluorescence characteristics changes of dissolved organic matter in sewage treatment by using three-dimensional fluorescence spectrometry, and discussed the feasibility of three-dimensional fluorescence technique applied for description of dissolved organic pollutant degradation rule in the wastewater treatment process.

In the present paper, a local mean-based K-nearest centroid neighbor (LMKNCN) technique is used for the classification of stars, galaxies and quasars (QSOS). The main idea of LMKNCN is that it depends on the principle of the nearest centroid neighborhood(NCN), and selects K centroid neighbors of each class as training samples and then classifies a query pattern into the class with the distance of the local centroid mean vector to the samples . In this paper, KNN, KNCN and LMKNCN were experimentally compared with these three different kinds of spectra data which are from the United States SDSS-DR8. Among these three methods, the rate of correct classification of the LMKNCN algorithm is higher than the other two algorithms or comparable and the average rate of correct classification is higher than the other two algorithms, especially for the identification of quasars. Experiment shows that the results in this work have important significance for studying galaxies, stars and quasars spectra classification.

In order to continuously study the contents, pollution condition and potential ecological risk of heavy metals in surface sediments in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in wet seasons in different years, the speciation analysis of 9 kinds of heavy metals including Cd, Pb, Cr, Ni, Cu, V, Co, Zn and Mn, pollution condition and potential ecological risk of heavy metals in surface sediments from 10 sampling sites like Baotoufuqiao (S2), Shizuishantaolezhen (S6) and Wujinxia (S9) in Gansu, Ningxia and Inner Mongolia sections of the Yellow River in 2012 wet season were studied with BCR sequential extraction and high resolution inductively coupled plasma-mass spectrometry (HR-ICP-MS) based on our previous works. The results implied that the order of heavy metals average contents in the 10 sediment samples were the same: Mn>V> Zn>Cr>Cu>Ni>Pb>Co>Cd. In the sediments, heavy metals mainly existed in the form of residual fraction, which indicated that the bioavailability or environmental impact was low. Results of geo-accumulation indices (Igeo) showed that Igeo(CD), was the largest among the heavy metals with the strongest pollution, while IGEO(Mn)was the smallest. Enrichment factor (EF) indicated that only Cd and Cu were enriched at some sampling sites. In S5, because EFcd reached 4. 69, Cd was affected by human activities obviously and the result was consistent with I. Potential ecological risk index (RI) implied that the RI values in S1, S2 and S5 were between 150 and 300, which belonged to moderate polluting degree, while others were less than 150, belonging to light pollution degree. The results of this paper could not only provide reliable experimental data and theoretical basis for the relevant departments, but also supply the technical support for constructing mathematics model of sediments-pollutants transport, systematically researching the migration and transformation rule of persistent toxic substances and environmental assessment in these reaches.

The spectrum of surface plasmon resonance shows different amplitudes and peak widths with theeffects of resonant intensity and position, so it's necessary to develop the self-adaptive methods to guarantee the accurate positioning of SPR formant. Based on the optimized Savitzky-Golay filter, this paper presents a method for SPR spectrum, which can optimize the parameters (polynomial degree and window size) according to the characteristics of the real time SPR spectrum, and minimizes the Stein's unbiased risk estimate of the mean squared error, and it can be quickly solved by Monte-Carlo methods. It is confirmed that SURE can accurately reflect the trends and the results of the true MSE. The experiment measures the SPR signals of sucrose under different concentrations and integration time through the SPR system. By using the proposed method of optimal parameters on the SPR signal filtering, the results show that the repeatability error of the position of SPR formant is smaller compared with the fixed parameters, and does not increase with the addition of noise levels.

Infrared spectral studies of aqueous solution have been severely limited by the strong water absorption. Usually, it is very difficult to experimentally achieve perfect compensation between the amount of water that contributes to the sample and background spectra. In the present paper, we introduced a new method to make the infrared bands of water disappear during the measurement of an infrared spectrum for aqueous solution. Both background spectrum of the empty ATR cell and that of the water on ATR cell are used in sequence. Qualified infrared spectra of 10% K2CO3 and 10% BSA aqueous solutions were successfully obtained by ATR accessory (single-reflection) without water interference. The experimental results demonstrated that the new method is fast, effective and powerful. The limitation of the new method is also discussed.

Linear variable filters (LVF) are widely used in a variety of small rapid spectrometric detecting devices. In the present paper, the splitting property of LVF was studied, and the spectral-property expression in Gaussian form was given, and the relationship between indexes of expression and LVF center transmission, width of spectrum, and linear dispersion was specified. Measurement based on monochromator for imaging spectrometers calibration was introduced, the sensitivity for detection system was discussed, and the tolerance was analyzed. It was shown that the slit displacement of monochromator relative to the optical axle and the slope of LVF affect the detecting accuracy most, and the tolerance can be reduced by adjustment of optical path and structure to reach requirement. System was built and the detection for spectral property of sample LVF was made. The result of data processing indicates that MSE for center transmission detection was lower than 0.05%, and the accuracy of this method was proved. Reference-parameters of relevant system designing and calibrating based on the LVF can be provided by this method.

The focal ratio degradation (FRD) of optical fiber is one of major sources causing light loss in multi-fiber astronomical instruments. Meanwhile, the sky subtraction is crucial to multi-fiber spectra reduction, especially for the objects which are as faint as the sky background, not to mention for those even fainter ones. To improve the accuracy of sky subtraction, it is necessary to normalize the throughput among object fibers and sky sampling fibers. The rotation and twist during mounting and rotating could change the FRD of individual fibers, which means the variation of the transmission throughput among fibers. We investigate such throughput variation among LAMOST fibers and its correlation with the intensity of sky emission lines on all wavelength coverage in this paper. On the basis of this work, we present an approach to correcting the varied fiber throughput by measuring the intensity of the sky emission lines as the secondary throughput correction. This approach has been applied to LAMOST 2D Pipeline.

In the present paper it was proposed to establish multidimensional scaling linear regression (MDS-MLR) models by combining multidimensional scaling (MDS) with multiple linear regression (MLR), in which MDS owns the ability of dimensionality reduction on spectral variables. Thus the informative spectral wavelengths can be selected for each of the 4 clinical parameters (i. e. glucose, LDL cholesterol, triglycerides and urea) by MDS-MLR method, and the effect of spectral colinearity can be restrained, so that the calibration models can be optimized. Experiments showed that the MDS-MLR models will allow to produce appreciated modeling results when combined with the preprocessing method of moving average (MA). The optimized models were verified by the samples in validation set, and the validating correlation coefficients for each clinical parameter were all upper than 0. 9. These results indicated that FTIR predicted values and the biochemical values of each clinical parameter were highly correlated, which demonstrated that MDS-MLR method has the potential of being applied to the FTIR spectroscopic analysis of human serum. FTIR rapid determination technology combined with the MDS-MLR modeling method is expected to realize the rapid assessment of human health and sub-health level.

The present paper developed a portable and fast sample pretreatment apparatus. It has many virtues like being portable, low power consumption and convenient operation, short extraction time and sound repeatability. Therefore, it can meet the requirements of on-site rapid detection pretreatment. The apparatus consists of four functional modules: ultrasonic extraction unit, heating unit, exhaust gas evaporation and absorption unit and control system. In addition, LED control panel and alarm device were designed. The whole treatment process needs three steps: ultrasonic extraction, liquid-liquid extraction and solvent evaporation by heating and pumping. For test of this apparatus performance, three real samples (pepper powder, pepper oil, bean sauce) containing banned additive Rhodamine B were taken as experiment objects. Compared with conventional laboratory pretreatment method, the PERS spectra achieved by two methods were little changed, but the experiment time was halved. In addition, the test results showed relative standard deviation less than ±5%.

The drought indices based on MODIS spectral reflectance data are widely used for drought characterization and monitoring in agricultural context. Based on the PROSAIL model and MODIS observational data in Shandong in 2010, the present paper studied the impact of vegetation structure of leaf area index and physiological growth cycle on MODIS spectral drought index. The results showed that the reflectance of three MODIS bands in spectrum of near-infrared and shortwave infrared changes significantly with leaf water content of vegetation. Therefore, the five kinds of MODIS spectral drought index constructed by those MODIS bands can be used to monitor the leaf water content of vegetation. However, all drought indices are affected by leaf area index. In general, the impact is serious in the case of low LAI values and is weakened with the increase in LAI value. The study found that physiological vegetation growth cycle also affects the magnitude of MODIS spectral drought indices. In conclusion, the impact of vegetation structure must be carefully considered when using MODIS spectral drought indices to monitor drought. The conclusion of this study provides a theoretical basis for remote sensing of drought monitoring.

The methods that can rapidly and precisely measure concentrations of various gases have extensive applications in the fields such as air quality analysis, environmental pollution detection, and so on. The gas detection method based on the tunable laser absorption spectroscopy is considered a promising technique. For the infrared spectrum detection techniques, the line shape function of an absorption spectrum of a gas is an important parameter in qualitative and quantitative analysis of a gas. Specifically, how to obtain the line shape function of an absorption spectrum of a gas quickly and accurately is a key problem in the gas detection fields. In this paper we analyzed several existing line shape functions and proposed a method to calculate precisely the line shape function of a gas, and investigated the relation between the gas concentration and the peak value of a line shape function. Then we experimentally measured the absorption spectra of an acetylene gas in the wavelength range of 1,515-1,545 nm with a tunable laser source and a built-in spectrometer. With Lambert-Beer law we calculated the peak values of the line shape function of the gas at the given frequencies, and obtained a fitting curve for the line shape function in the whole waveband by using a computer program. Comparing the measured results with the calculated results of the Voigt function, we found that there was a deviation-between the experimental results and the calculated results. And we found that the measured concentration of the acetylene gas by using the fitting curve of the line shape function was more accurate and compatible with the actual situation. Hence, the empirical formula for the line shape function obtained from the experimental results would be more suitable for the concentration measurement of a gas. As the fitting curve for the line shape function of the acetylene gas has been deduced from the experiment, the corresponding peak values of the spectral lines can be immediately calculated out from the curve and used for the measurements of different concentrations of acetylene gases. Therefore, the calculation for the line shape function values is greatly simplified. The obtained data of the line shape function of the acetylene gas can be used for remote sensing of the gas, and the proposed method can also be applied for the measurements of line shape functions of other gases.

Abstract In the present paper, we reported the luminescence properties of BiOCl:Dy(3+) and BiOCl:Dy(3+), Li+ phosphor synthesized by conventional solid state method. X-ray diffraction (XRD) and excitation and emission spectroscopy were used to characterize the samples. Results show that pure tetragonal BiOCl:Dy(3+) crystals can be synthesized successfully at 500 °C, and Li+ ion dopant improves the crystallinity of samples furtherly. Under near UV light excitation, the samples,give the characteristic luminescence of Dy(3+) ions located at 478 (blue) and 574 nm (yellow), which show a low yellow-to-blue intensity ratio (Y/B) of Dy(3+) emission and white light emission. Moreover, codoping of Li+ ion can realize the enhancement of emission intensity and the adjustment of emission color. The characteristics of BiOCl:Dy(3+) phosphor, low temperature preparation, good near ultraviolet excitation and white light emission make it to a promising near-ultraviolet WLED phosphor.