Characterization of dissolved organic matter from saline soils by fluorescence spectroscopy

In this paper hydrophilic (HI) and hydrophobic (HO) fractions of dissolved organic matter (DOM) extracted from soils at different degrees of salinisation were characterised by means of fluorescence spectroscopy in the emission, excitation and synchronous-scan modes. Results provided evidence of the different chemical nature of DOM fractions and allowed to distinguish hydrophilic and hydrophobic fractions extracted from the same soil substrate. The strong decrease in fluorescence intensity observed with the increasing salinity of the soils can be utilised to obtain information on the salinity level of different soil substrates by comparison of spectral fluorescence intensities.     

基于三维荧光光谱技术解析不同微生物法净化黑臭水体的效果

应用曝气、菌剂+曝气、生物促生剂+曝气、菌剂+生物促生剂+曝气4种微生物技术净化黑臭水体,分别考察了进水中溶解性有机物(DOM)的特征和来源及出水中DOM的特征和效果,采用三维荧光(EEM)光谱技术与平行因子(PARAFAC)模型相结合的方式对进出水DOM进行了分析。结果表明,不同处理方式下进出水DOM的不同组分荧光峰强度变化存在较明显的差异,经过菌剂和生物促生剂联合处理之后,对类腐殖质等难降解物质削减效果最好。FI、HIX和BIX指数分析表明各处理水样中的DOM整体处于较强的自生源特征。利用主成分分析法(PCA)对影响黑臭水体DOM的主要因素及其贡献量研究发现：第1主成分表现为陆源类腐殖质和生物源类腐殖质共存的现象,对水体中DOM的贡献率为54.98%;第2主成分反映了以微生物代谢过程为代表的内源污染,对水体中DOM的贡献率为26.56%。因此,利用三维荧光分析能够较好的反映水中DOM的去除情况,易于实时在线监测,对黑臭水治理具有重要意义。     

Rapid estimation of compost enzymatic activity by spectral analysis method combined with machine learning

The aim of this study was to investigate the feasibility of using visible near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) as an easy, inexpensive, and rapid method to predict compost enzymatic activity, which traditionally measured by fluorescein diacetate hydrolysis (FDA-HR) assay. Compost samples representative of five different compost facilities were scanned by DRS, and the raw reflectance spectra were preprocessed using seven spectral transformations for predicting compost FDA-HR with six multivariate algorithms. Although principal component analysis for all spectral pretreatments satisfactorily identified the clusters by compost types, it could not separate different FDA contents. Furthermore, the artificial neural network multilayer perceptron (residual prediction deviation = 3.2, validation r² = 0.91 and RMSE = 13.38 μg g^?1 h^?1) outperformed other multivariate models to capture the highly non-linear relationships between compost enzymatic activity and VisNIR reflectance spectra after Savitzky–Golay first derivative pretreatment. This work demonstrates the efficiency of VisNIR DRS for predicting compost enzymatic as well as microbial activity.     

Retrieval And Monitoring of Atmospheric Trace Gas Concentrations in Nadir and Limb Geometry Using the Space-Borne Sciamachy Instrument

The Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) onboard the European Envisat spacecraft performs continuous spectral observations of reflected, scattered and transmitted sunlight in various observation geometries. A unique feature of SCIAMACHY is the capability of probing the atmosphere in three different observation geometries:The nadir, limb, and occultation measurement modes. In nadir mode, column densities of trace gases are retrieved with a spatial resolution of typically 30× 60 km using the Differential Optical Absorption Spectroscopy (DOAS) technique (Platt and Perner, 1983). Alternating with the nadir measurement, vertical profiles of absorber concentration in the stratosphere are derived in limb and occultation. In this paper we present an overview over some applications of SCIAMACHY data in space-based monitoring of atmospheric pollution. The DOAS algorithms for the retrieval of total column amounts from nadir spectra are briefly described and case studies of pollution events are presented. We also illustrate the technique used to derive stratospheric concentration profiles from limb observations and show comparisons with other remote sensing systems. Special emphasis will be given to techniques, which take advantage of SCIAMACHY's different viewing geometries. In particular, we will discuss the potential and limits of strategies to infer tropospheric abundances of O₃and NO₂.     

模拟酸雨淋溶条件下紫壤淋出液中溶解性有机质的三维荧光特性

运用三维荧光技术分析了模拟酸雨淋溶紫壤淋出液中溶解性有机质（dissolved organic matter,DOM）的组分与酸度及淋溶量的关系.研究结果表明,模拟酸雨淋溶紫壤淋出液中DOM荧光峰主要为类胡敏酸和类富里酸,荧光峰的中心位于Ex/Em=305—370 nm/420—450 nm和Ex/Em=260—270...     

多元回归-紫外分光光度法同时测定硝基苯类化合物

对多元线性回归、多元逐步回归和岭回归三种方法应用于硝基苯类五元体系进行定量分析的结果进行了比较研究,结果表明,对于所涉及的组分光谱重叠严重的病态的混合体系,多元逐步回归和岭回归间接校正都是合适的算法,总平均相对误差分别为3.84%和3.00%.     

Studying soil organic matter using 13C CP-MAS NMR: the effect of soil chemical pre-treatments on spectra quality and representativity

¹³C CP-MAS NMR spectroscopy is a technique that has proved to be useful in studying soil organic matter (SOM). Nevertheless, NMR spectra exhibit a weak signal and have very low resolution due to: the low natural abundance of ¹³C (1.1 % of C) in SOM, the generally low SOM content of soils, and the presence of paramagnetic impurities. This paper studies the effects of soil chemical pre-treatments on ¹³CP-MAS NMR spectra quality and spectra representativity i.e. soil C mass balance.

After chemical pre-treatment to increase total organic carbon (TOC) content and C/Fe ratio, eight soils characterized by different levels of organic carbon content and C/Fe ratios were studied using ¹³CP-MAS NMR. Moreover, where chemical treatments were not applicable due to high carbon losses, the number of ¹³CP-MAS NMR scans was increased in order to obtain satisfactory spectra.

Results show that chemical pre-treatment of soils with C/Fe > 1 caused high C losses. Bulk soils were therefore studied by increasing the number of ¹³CP-MAS NMR scans. Acceptable spectra were obtained from 8K scans (1K = 1024 transient). On the other hand, even when a large number of scan (32K) are used, soil with C/Fe < 1 cannot be studied. As these soils are characterized by low C losses after HCl treatments (range of 2.9–25.4%), a pre-treatment of at least 1.39 mol l⁻¹ HCl removes excess Fe and at the same time increases C/Fe ratio resulting in 32K scans providing good spectra.     

水汽对光腔衰荡光谱系统（CRDS）法测定CH_4的影响

分析了CRDS法测定CH4浓度与水汽含量间的关系,并建立了水汽含量在0.50%—2.45%（体积比,以V/V表示,下同）范围内的有效校正方法.采用CRDS法对水汽含量为0.93%的CH4标气进行多次测量,测量值经校正后与理论值的偏差均小于2.0×10-9（体积比,以V/V表示,下同）,最大偏差1.8×10-9,优于大气本底CH4观测质控标准.校正瓦里关站CRDS系统试运行期间的CH4实测数据（水汽含量为0.50%—2.45%）,与该站气相色谱-氢火焰离子化检测器系统（GC-FID系统,下同）同期测量结果相比,38.48%的数据偏差小于2.0×10-9,说明在系统未配备超低温冷阱除水单元之前,本文研究的校正方法适用于观测数据的校正.     

花生壳活性炭对反渗透(RO)浓水的吸附特性

以花生壳活性炭对RO浓水进行吸附处理,利用傅立叶红外光谱(FTIR)和荧光光谱(EEM)研究花生壳活性炭对不同pH的RO浓水的吸附特性.结果表明,花生壳活性炭对溶解性有机碳(DOC)的吸附遵循准二级吸附动力学方程,特别是碱性条件下,DOC的吸附量随着pH的升高而降低.而且pH越高,达到吸附平衡的时间越长.通过FTIR光谱分析发现,活性炭的芳香结构吸收峰在吸附后红移至1630 cm-1,表明被吸附的有机物在该处有明显的特征吸收峰,而C—O和O—H官能团的吸收峰则因为钙离子等物质的吸附而显著降低.由EEM光谱分析可知,RO浓水的荧光物质主要由腐殖酸类腐殖质和富里酸类腐殖质组成,其荧光强度与DOC之间具有较好的线性相关性.     

基于船舶实时排放和烟羽在线监测的燃油硫含量识别方法研究

船用燃油超标识别方法的建立和技术发展是进行船舶排放控制区(Domestic Emission Control Areas,DECA)政策执行的重要保障.本研究建立了基于船舶自动识别系统(Automatic Identification System,AIS)数据的船舶排放实时计算模型和岸基环境观测相结合的技术方法,选取...