长江流域近51a来日降水时空变异的多尺度特征

基于长江流域115个雨量站1963~2013年的日降水数据,应用小波多分辨分析结合信息论的方法,揭示长江流域近51 a来日降水时空变异的多尺度特征。结果表明:空间上,流域日降水序列的变异性具有明显的局部聚集性;并沿纬向呈现出显著的非均质性,而沿经向呈现出拟均匀性;并于103°E附近存在一条明显的分界线,界线以西的日降水变异程度显著高于界限以东的;且日降水变异性与高程之间存在较强的线性相关性,而与年降水量和年降水天数之间则存在较弱的相关性。时间上,流域各站点日降水子序列对原始序列总变异的相对贡献的大小于103°E附近也存在一条明显的分界线,界线以西,各时间尺度下子序列的贡献均大于界线以东;且这种相对贡献的谱图于256 d处呈现出突变现象。此外,流域降水变异的时间尺度可分为3个不同的区间:短期的(2~16 d)、年内的(16~256 d)和年际的(大于256 d)。     

基于热红外遥感的广西平果县石漠化初步研究

中国西南喀斯特地区石漠化问题十分严重。为更好地利用卫星遥感监测和评价石漠化现状,提出了一种基于卫星热红外遥感的石漠化等级划分的新方法。以广西平果县为研究区,利用2014年Landsat 8热红外遥感影像分别提取夏季和冬季的亮温值并计算亮温差,经过高分影像建立典型样本区并分析亮温差,确定不同石漠化等级的亮温差阈值,最后对全县石漠化进行等级划分。结果显示,平果县2014年重度石漠化面积占喀斯特区域面积的比例为3.87%,中度石漠化占9.19%,轻度石漠化占22.26%,潜在石漠化占57.46%,非石漠化占7.22%。研究表明,通过确定适当的夏冬季亮温差阈值可以有效地对石漠化程度进行分级划分,该新方法与已有方法相比,具有物理意义明确、方法简单有效、结果客观等优点,具有推广应用价值。     

High-molecular weight sulfur-containing aromatics refractory to weathering as determined by Fourier transform ion cyclotron resonance mass spectrometry

Biomarkers and low-molecular weight polyaromatic compounds have been extensively studied for their fate in the environment. They are used for oil spill source identification and monitoring of weathering and degradation processes. However, in some cases, the absence or presence of very low concentration of such components restricts the access of information to spill source. Here we followed the resistance of high-molecular weight sulfur-containing aromatics to the simulated weathering condition of North Sea crude oil by ultra high-resolution Fourier transform ion cyclotron resonance mass spectrometry. The sulfur aromatics in North Sea crude having double bond equivalents (DBE) from 6 to 14 with a mass range 188-674 Da were less influenced even after 6 months artificial weathering. Moreover, the ratio of dibenzothiophenes (DBE 9)/naphthenodibenzothiophenes (DBE 10) was 1.30 and 1.36 in crude oil and 6 months weathered sample, respectively reflecting its weathering stability. It also showed some differences within other oils. Hence, this ratio can be used as a marker of the studied crude and accordingly may be applied for spilled oil source identification in such instances where the light components have already been lost due to environmental influences.     

Detailed characterization of polar compounds of residual oil in contaminated soil revealed by Fourier transform ion cyclotron resonance mass spectrometry

Effects of remediation technologies on polar compounds of crude oil in contaminated soils have not been well understood when compared to hydrocarbons. In this study, ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was used to characterize the changes in NSO polar compounds of crude oil and residual oil after long-term natural attenuation, biostimulation and subsequent ozonation following biostimulation of contaminated soils. N₁ and O₁ species, which were abundant in the crude oil, were selectively biodegraded, and species with higher double bond equivalent values and smaller carbon numbers appeared to be more resistant to microbial alteration. O₂-O₆ species were enriched by biodegradation and contained a large number of compounds with a high degree of unsaturation. Ozone could react with a variety of polar compounds in residual oil after biodegradation and showed high reactivity with polar species containing aromatic or multi-aliphatic rings, including the residual N₁ and O₁ species, naphthenic acids and unsaturated O₃-O₆ compounds. Fatty acids and O₃-O₈ species dominated by saturated alkyl compounds were resistant to ozonation or the primarily incomplete ozonation products. Principal component analysis of identified peaks in the FT-ICR MS spectra provided a comprehensive overview of the complex samples at the molecular level and the results were consistent with the detailed analysis. Taken together, these results showed the high complexity of polar compounds in residual oils after biodegradation or ozonation in contaminated soil and would contribute to a better understanding of bioremediation and ozonation processes.     

表面增强拉曼光谱技术检测高氯酸根离子

高氯酸根离子是水质污染物中常见的污染源之一.通过化学还原法制备稳定、分散性好的纳米银溶胶颗粒(粒径为30～40 nm),并以此为基底,探究了利用表面增强拉曼光谱技术迅速准确地检测质量浓度为10-6～10-1 g/L的高氯酸根离子溶液的表面增强拉曼光谱.结果表明,当高氯酸根离子质量浓度为10-5～10-1 g/L时,随着高氯酸根离子浓度的降低,表面增强拉曼光谱强度逐渐减弱.     

基于指标规范值的室内空气客观评价的概率神经网络模型

为了建立简单、普适、通用的概率神经网络的室内空气评价模型,在适当设定室内空气各项指标的参照值及指标值的规范变换式基础上,使室内空气同级标准不同指标的规范值差异尽可能小,从而用规范值表示的各指标都可用同一个规范指标"等效"替代。因此,概率神经网络隐层各类模式的基函数中心矢量的各指标分量值与同级标准所有15项指标规范值的均值等同。将基于指标规范值的概率神经网络模型用于室内空气的评价实例进行检验,验证了该模型的普适性、通用性和简便性。     

Is carbon dioxide emission convergence in the ten largest economies?

This study applies stationary test with a flexible Fourier function proposed by Enders and Lee (Enders, W. and J. Lee. 2012. Oxford Bulletin of Economics and Statistics 74:574–99) to test the validity of carbon dioxide emission to assess its convergence, and the rationality of the existing policies in the 10 largest economies of the world. We find that our approximation has higher power to detect smooth breaks than the linear method, as the true data generating process of carbon dioxide emission convergence is in fact a stationary nonliner process. We examine the validity of carbon dioxide emission from the nonlinear point of view and provide robust evidence that clearly indicates that carbon dioxide emission is convergence in most countries, not depending on their development pattern. It implies that the existing policies in most countries are rational, and the United States, Japan, and Germany need more efforts in reducing the carbon dioxide emission.     

生态文明建设与再生资源产业

党的十八大将生态文明建设提升到五位一体总体布局的战略高度,要求把生态文明建设放在突出地位,融入经济建设、政治建设、文化建设、社会建设各方面和全过程。从人类文明转型的高度,分析了推进生态文明建设的历史必然性,探寻了再生资源产业与生态文明建设间的内在联系,剖析了再生资源产业的典型特征,并对生态文明建设与再生资源产业的未来发展进行了展望.     

嵊州、新昌地震与低空大气增温异常

从嵊州、新昌地震 (1998 0 8 17T 1∶4 6ML4 5)的地震地质构造环境、卫星热红外异常与近地表大气增温异常等三个方面 ,进行了研究。认为地震前几日 ,震区及周围大面积的突发性低空大气增温异常与卫星红外异常是一种临震前兆 ,并总结了增温异常的时空演变规律与地震活动的关系。     

基于Landsat-8数据和劈窗算法的地表温度反演及城市热岛效应研究

陆地表面温度(Land Surface Temperature,LST)是地表能量平衡组分中的一个重要参数。随着卫星遥感技术的快速发展,遥感反演成为获取区域LST的一个重要手段。目前已有学者提出多种基于遥感数据反演LST的算法,其中劈窗算法被证明是一种精度较高的算法。基于Landsat-8卫星30 m空间分辨率的陆地成像仪(OLI)数据和100 m分辨率的热红外传感器(TIRS)数据,采用劈窗算法计算了无锡地区的LST,并采用地面实测水温数据和同步的MODIS温度产品对Landsat-8的计算结果进行了验证和对比分析。结果表明:基于Landsat-8数据和劈窗算法获取的LST精度较高,误差1K。在计算的LST结果基础上,进一步提取了热场变异指数来分析城市热岛空间分布特征,给出了城市热岛效应的定量化描述,并就不同地表覆盖类型对热岛效应的影响进行了分析。