Blind and complete modeling of linear systems using third order cumulants

This paper presents a novel approach to structure determination of linear systems along with the choice of system orders and parameters.AutoRegressive (AR),Moving Average (MA) or AutoRegressive-Moving Average (ARMA) model structure can be extracted blindly from the Third Order Cumulants (TOC) of the system output measurements,where the unknown system is driven by an unobservable stationary independent identically distributed (i.i.d.) non-Gaussian signal.By means of the system order recursion,whether the system has an AR structure or has AR part of an ARMA structure is firstly investigated.MA features in the TOC domain is then applied as a threshold to decide if the system is an MA model or has MA part of an ARMA model.Numerical simulations illustrate the generality of the proposed blind structure identification methodology that may serve as a guideline for blind linear system modeling.     

Catalytic Wet Air Oxidation of Industrial Aqueous Streams

Catalytic wet air oxidation (CWAO) is a promising process for removing organic compounds from industrial aqueous streams. Over the last three decades a significant amount of research has been conducted on various aspects of the process including catalyst development, catalytic reaction mechanisms and oxidation reaction mechanisms, and the effects of important parameters such as temperature, pressure and pH on total organic carbon (TOC) removal. The Industrial Chemistry Group at RMIT University has conducted a significant amount of research on this process over the last several years focussing on organics removal from three very different industrial aqueous streams: Bayer liquor used in alumina refining; stripped sour water used in oil shale refining; and pulp and paper effluent used in paper manufacturing. Important results obtained on each of the aforementioned industrial aqueous streams are discussed in detail in this survey article.     

基于非分散红外吸收的总有机碳检测仪研制

总有机碳是以碳的含量来表示水体中有机物总量的综合指标,比化学需氧量等参数更能准确反映有机污染程度。根据C02气体对红外光的吸收与其浓度的关系符合Lambert—Beer定律,研制了一种非分散红外法总有机碳检测仪。该仪器能将待检测的水样导入反应器,水样中有机物被氧化成CO2,非分散红外模块检测到的CO2浓度与水样中总有机碳浓度具有良好的对应关系。具体论述了该仪器的工作流程、分析方法和数据处理方法。测试结果表明仪器的检测下限优于0．5mg／L。该仪器可以为污染减排工作提供可靠的数据支持,完善污染物总量减排监测体系建设。     

A New Method for the Characterization of Organic Carbon in Aquatic Systems

Abstract

Some problems in organic carbon characterization are briefly discussed. A new chromatographic multi-method for the direct characterization of organic matter in original waters with the simultaneous determination of UV-Vis, fluorescence, DOC, TIC, and organically bound nitrogen (DON) is described. Some applications with UV-Vis and DOC (“CODOC”) detection are presented.     

Visible Photocatalytic Degradation of Rhodamine B Using Keggintype Cr（Ⅲ）-Substituted Heteropolyanion PWllO39Cr（Ⅲ）（H2O）4-

为了利用太阳光能去除水体有机染料污染物,以Keggin型铬取代杂多阴离子PW11O39Cr（III）（H2O）4-（PW11Cr）为光催化剂, 详细研究在可见光照射下PW11Cr对水体有机染料污染物罗丹明B（RhB）的光催化降解作用, 考察RhB和PW11Cr初始浓度以及溶液pH对RhB可见光催化降解速率的影响, 并通过可见吸收光谱和荧光发射光谱研究水溶液中PW11Cr和RhB的相互作用, 提出PW11Cr光催化作用的机理. 实验结果表明,含有50 μTTmol·L-1 PW11Cr和10 μTTmol·L-1 RhB的水溶液在200 W可见光下照射120 min, RhB的降解率达到100%,总有机碳去除率约32%. 在PW11Cr浓度较大和pH〈3.5的酸性条件下, PW11Cr与RhB之间易发生络合, 导致RhB光降解速率变慢,而PW11Cr浓度为50 μTTmol·L-1和溶液接近中性条件下, RhB的光降解速率较快.     

铬取代杂多阴离子PW11O39Cr（Ⅲ）（H2O）4-可见光催化降解罗丹明B

为了利用太阳光能去除水体有机染料污染物,以Keggin型铬取代杂多阴离子PW11O39Cr(III)(H2O)4-(PW11Cr)为光催化剂, 详细研究在可见光照射下PW11Cr对水体有机染料污染物罗丹明B(RhB)的光催化降解作用, 考察RhB和PW11Cr初始浓度以及溶液pH对RhB可见光催化降解速率的影响, 并通过可见吸收光谱和荧光发射光谱研究水溶液中PW11Cr和RhB的相互作用, 提出PW11Cr光催化作用的机理. 实验结果表明,含有50 μTTmol·L-1 PW11Cr和10 μTTmol·L-1 RhB的水溶液在200 W可见光下照射120 min, RhB的降解率达到100%,总有机碳去除率约32%. 在PW11Cr浓度较大和pH<3.5的酸性条件下, PW11Cr与RhB之间易发生络合, 导致RhB光降解速率变慢,而PW11Cr浓度为50 μTTmol·L-1和溶液接近中性条件下, RhB的光降解速率较快.     

Keggin型铁取代杂多阴离子PW11O39Fe(Ⅲ)(H2O)4-光催化降解硝基苯

以Keggin型铁取代杂多阴离子PW11O39Fe(Ⅲ)(H2O)4-[PW11Fe(Ⅲ)(H2O)]代替传统光芬顿方法中的Fe3+作为光催化剂,构成一个新颖的光催化体系并用于水体生物难降解有机污染物硝基苯(NB)的降解.详细研究了在紫外光照射和H2O2存在下,PW11Fe(Ⅲ)(H2O)对NB降解的均相光催化作用.考察了NB初始浓度、溶液pH、H2O2和PW11Fe(Ⅲ)(H2O)浓度对光催化降解反应速率的影响.实验结果表明,1.0mmol·L-1PW11Fe(Ⅲ)(H2O)+5.0mmol·L-1H2O2+1.0mmol·L-1NB的中性溶液在300W汞灯照射下反应120min,NB的降解率达93%,总有机碳(TOC)去除约31%,显示了该新颖体系对NB光催化降解的高效性和优越性.