湖南省四水流域水沙周期特征及其影响因素分析

采用复小波变换和M K非参数检验的方法分析了湖南省四水流域主要控制站1951~2011年径流量与输沙量周期规律和突变特征。结果表明：(1)湖南四水径流量存在多个波动增加和波动减少的波动变化现象,但无显著变化趋势;而输沙量虽然有一定的波动,但总体上呈波动减少变化态势,而且下降趋势较显著;(2)湘潭站、桃江站和桃源站径流量和输沙量存在20~25 a的第一主周期,而石门站径流量和输沙量的第一主周期不具有一致性,径流量主周期为2 a,输沙量主周期为13 a,但其径流量和输沙量第二、三主周期变化规律相吻合,均为3~5 a的周期;(3)大量的水利工程建设是导致输沙量减少的主要原因,径流量的变化与降水的变化规律较为一致     

中国海油斥资亿元处理废旧轮胎

2011年3月14日,中海油(福建)深冷精细胶粉有限公司就常温初级粉碎工段工艺包合同与浙江菱正机械有限公司举行了签字仪式,此举意味着我国第一个LNG冷能低温胶粉项目正式启动。中海油(福建)深冷精细胶粉有限公司是中国海洋石油总公司下属的中海油能源发展股份有限公司     

数据安全新思路

利用小波的时频局部化的特征,将信息的加密过程由传统的时域中进行改为在时域和频域中进行,达到信息加密和增强信息安全性的目的。采用两种方法实现信息的加密与解密的过程,一种是将明文保存为图像文件格式,对图像文件进行小波的分解与重构,实现信息的加密与解密;另一种是将明文数值化为一个系数矩阵,对数值矩阵进行小波的分解与重构,实现信息的加密与解密。通过小波分解过程进行加密,小波的重构过程进行解密,改变了传统的在空域中通过一系列的移位、迭代和置换的方式进行的加密过程,因此也不能通过传统的解密方式进行解密,增强了信息的安全性。由于小波的多样性,不同的小波变换得到的结果也会不同,增加了解密的难度,保证了数据的安全。     

基于LabVIEW的长输天然气管道泄漏检测与定位研究

为了研究长输天然气管道泄漏检测与定位技术,将管道泄漏检测技术中常用的负压波检测原理与Lab VIEW技术相结合,设计了一套基于Lab VIEW的长输天然气管道泄漏检测与定位分析程序,利用该程序对长输天然气管道泄漏的负压波信号进行滤波和数据处理。利用小波变换的多尺度功能,提取信号的突变或瞬态特征,计算奇异点位置,达到泄漏定位的目的;选取不同类型小波进行泄漏定位误差分析,找出该工况条件下最佳的小波类型。结果表明:该程序对泄漏点的定位误差在4%以内,具有较高的精确度和可行性;在该工况下,最佳的小波类型为db5,其定位误差精确到0.034%。     

小波熵去噪在微差爆破延时精确识别中的应用

在小波熵去噪理论的基础上,对实际隧道爆破工程采集到的爆破振动信号进行了小波熵方法去噪。利用db8小波对去噪后的信号在尺度a=16进行了连续小波变换得到其模极大值,准确识别了隧道多段别微差爆破实际延期时间间隔,并验证了小波熵方法去噪的可靠性。结果表明,小波熵去噪方法能够有效滤除和抑制爆破振动非线性信号所夹杂的高频噪声分量,并且很好地保留了爆破振动信号的突变细节。对滤波后的信号进行模极大值变换,信号局部奇异点的辨识更准确,可以精确识别隧道微差爆破延时间隔。     

职业安全卫生检测的新工具——傅里叶变换红外光谱技术

傅里叶变换光谱（ＦｏｕｒｉｅｒＴｒａｎｓｆｏｒｍＩｎｆｒａｒｅｄＳｐｅｃｔｒｏｐｈｏｔｏｍｅｔｒｙ—ＦＴＩＲ）技术是近２０年发展起来的一种全新、全能的技术,它是建立在计算机和激光技术的基础上,具有灵敏度高、信噪比高、测量速度快、分辨率高、应用范围广等优点。能够对多组分的复杂现场环境进行实时和连续定性、定量监测,又能够对气体、液体、固体、微区微量、表层表面进行分析,也能够进行远距离遥感检测。它将会在职业安全卫生检测领域发挥巨大作用,有着广阔的应用前景。     

Potential particulate pollution derived from UV-induced degradation of odorous dimethyl sulfide

UV-induced degradation of odorous dimethyl sulfide (DMS) was carried out in a static White cell chamber with UV irradiation. The combination of in situ Fourier transform infrared (FT-IR) spectrometer, gas chromatograph-mass spectrometer (GC-MS), wide-range particle spectrometer (WPS) technique, filter sampling and ion chromatographic (IC) analysis was used to monitor the gaseous and potential particulate products. During 240 min of UV irradiation, the degradation e ciency of DMS attained 20.9%, and partially oxidized sulfur-containing gaseous products, such as sulfur dioxide (SO2), carbonyl sulfide (OCS), dimethyl sulfoxide (DMSO), dimethyl sulfone (DMSO2) and dimethyl disulfide (DMDS) were identified by in situ FT-IR and GC-MS analysis, respectively. Accompanying with the oxidation of DMS, suspended particles were directly detected to be formed by WPS techniques. These particles were measured mainly in the size range of accumulation mode, and increased their count median diameter throughout the whole removal process. IC analysis of the filter samples revealed that methanesulfonic acid (MSA), sulfuric acid (H2SO4) and other unidentified chemicals accounted for the major non-refractory compositions of these particles. Based on products analysis and possible intermediates formed, the degradation pathways of DMS were proposed as the combination of the O(1D)- and the OH- initiated oxidation mechanisms. A plausible formation mechanism of the suspended particles was also analyzed. It is concluded that UV-induced degradation of odorous DMS is potentially a source of particulate pollutants in the atmosphere.     

Removal of phosphate by Fe-coordinated amino-functionalized 3D mesoporous silicates hybrid materials

Phosphate removal from aqueous waste streams is an important approach to control the eutrophication downstream bodies of water. A Fe(III) coordinated amino-functionalized silicate adsorbent for phosphate adsorption was synthesized by a post-grafting and metal cation incorporation process. The surface structure of the adsorbent was characterized by X-ray di raction, N2 adsoropion/desoprotion technique, and Fourier transform infrared spectroscopy. The experimental results showed that the adsorption equilibrium data were well fitted to the Langmuir equation. The maximum adsorption capacity of the modified silicate material was 51.8 mg/g. The kinetic data from the adsorption of phosphate were fitted to pseudo second-order model. The phosphate adsorption was highly pH dependent and the relatively high removal of phosphate fell within the pH range 3.0–6.0. The coexistence of other anions in solutions has an adverse e ect on phosphate adsorption; a decrease in adsorption capacity followed the order of exogenous anions: F?? > SO2?? 4 > NO??3 > Cl??. In addition, the adsorbed phosphate could be desorbed by NaOH solutions. This silicate adsorbent with a large adsorption capacity and relatively high selectivity could be utilized for the removal of phosphate from aqueous waste streams or in aquatic environment.     

基于自适应遗传小波神经网络的水质评价建模

水环境污染过程的非确定性和非线性,使得传统的水质评价方法存在局限性。为了提高水质评价的准确性,提出了一种基于改进小波神经网络(wavelet neural network,WNN)的水质评价模型。采用自适应遗传算法(adaptive genetic algorithm,AGA)对小波神经网络的初始权值进行优化,再通过小波神经网络算法对网络进行训练,最后对训练好的网络展开测试。仿真结果表明,自适应遗传算法和小波神经网络的结合提高了网络的训练效率,该方法可以用于水质评价建模,并且评价结果具有较高的精度和准确性。