Influence of environmental temperature and relative humidity on photocatalytic oxidation of toluene on activated carbon fibers coated TiO2

TiO₂ supported on active carbon fiber (TiO₂/ACF), an absorbable photocatalyst, is a new kind of material applied in air purification. In this paper, the influence of environmental temperature (T) and relative humidity (RH) on the gas-solid adsorption of toluene and the photocatalytic oxidation (PCO) efficiency of adsorbed toluene on TiO₂/ACF were studied, and then, the purification capability of TiO₂/ACF was estimated. PCO results showed that although the PCO efficiency increased under high RH and T levels, the amount of adsorption of toluene decreased. Moreover, quantitative analysis results of intermediates indicated that more environmental risk emerged when PCO of toluene was carried out at higher environmental T and RH levels because more toxic intermediates would be accumulated on the TiO₂/ACF. So, it is significant to control the environmental T and RH conditions in the application of the PCO technique. T = 25°C and RH530% is the optimal condition for purifying toluene in our experimental system. __________ Translated from Urban Environment & Urban Ecology, 2007, 20(5): 10–13 [译自: 城市环境与城市生态]     

P-25纳米TiO2在含酚废水处理方面的应用

采用室内模拟研究,以P-25纳米TiO2作为光催化剂进行了苯酚水溶液的光催化降解性能探讨,初步考察了溶液的pH、P-25纳米TiO2用量对光催化降解苯酚过程的影响,以获得P-25纳米TiO2光降解含酚废水的较好反应条件.实验结果表明,当溶液pH=8时,降解水体中苯酚效果最佳,强酸和强碱条件均不利于苯酚的降解;在pH 8的反应体系中,当光催化剂用量为0.4g/L时,催化水体中苯酚降解的效果最好.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

基于Hilbert谱信息熵的煤矸放落振动特征分析

针对煤矿安全生产中的综放工作面煤矸界面探测问题,提出利用煤矸下落冲击钢板的振动特征来探测煤矸界面的方法。煤矸振动信号表现出非平稳特征,采用经验模态分解方法将复杂矿井环境下的煤矸振动信号分解成固有模态分量。选择包含煤矸振动特征的前7个本征模函数(IMF)分量,通过Hilbert变换得到Hilbert谱。分析不同放煤状态下钢板振动信号的Hilbert谱发现,顶煤下落时的Hilbert谱分布较均匀,而煤矸混放时的Hilbert谱呈现不均匀分布。根据信息熵理论,提出了基于Hilbert谱信息熵的煤矸振动特征提取方法。试验结果表明,顶煤下落时的Hilbert谱信息熵要大于煤矸混放时的Hilbert谱信息熵,因此,煤矸振动的Hilbert谱信息熵特征能够准确地反映放煤状态。     

Kinetic parameter estimation for decomposition of organic peroxides by means of DSC measurements

The thermal stability of organic peroxides (cumene hydroperoxide 80 wt% and dicumyl peroxide) was studied by means of calorimetric measurement (DSC, TA Q1000) in an isotherm mode and a dynamic mode. Analysis of power profiles released in the isothermal mode was combined with the analysis of the decomposed compounds by a gas chromatograph/mass spectrometer (GC/MS) to determine the reaction mechanisms corresponding to each of the two reactions. In this work, a methodology for estimating kinetic parameters was based on the comparison of the power profile (dynamic mode) given by the model to that obtained experimentally by changing the parameters values. Parameter estimation is achieved using the mixed estimation method where a genetic algorithm is combined with a locally convergent method.     

Ag3PO4掺杂g-C3N4催化剂的制备及其可见光催化降解含碘类造影剂性能

以沉淀-回流方法于磷酸银(Ag₃PO₄)中掺杂氮化碳(g-C₃N₄)制备新型复合光催化剂,同时采用扫描电子显微镜(SEM)、透射电子显微镜(TEM)、X射线衍射图(XRD)等手段对合成催化剂的形态特征、晶型结构以及物理化学性质进行表征.以碘帕醇(IPM)作为目标污染物,通过改变催化剂的使用条件考察了氙灯光照下催化剂对水溶液中含碘类造影剂(ICMs)的光催化降解性能,并且分析了催化氧化过程中可能的污染物降解途径以及转化产物.结果表明,合成后的催化剂结构稳定,相对于使用单一催化剂(Ag₃PO₄或g-C₃N₄)条件下,复合催化剂对ICMs的光降解性能都得到大幅度提升,经条件优化后,确定Ag₃PO₄与g-C₃N₄的质量比例为0.15∶0.1时降解效果最佳,但不可超过0.2∶0.1,且降解性能与催化剂的投加浓度呈正相关,浓度在0.75 ...     

绿狐尾藻分解及其氮磷释放特征

湿地植物分解释放的有机物、氮和磷等会影响人工湿地对水体污染物的去除效率和出水水质.本研究采用尼龙分解袋法研究绿狐尾藻在水中的分解过程及氮磷释放特征.连续60 d的室内分解实验结果表明,前期(0～4 d)绿狐尾藻干物质质量损失速率快,占初始质量的30%,中后期(4～60 d)损失速率减慢,占31%.拟合的一级动力学分解速率常数为0. 014 2d-1,降解50%的干物质需48. 8 d.水体p H值变化情况:0～4 d从7. 60迅速下降到5. 63;中期趋于稳定;后期p H值回升到7. 03,与空白对照值接近.绿狐尾藻分解实验系统中溶解氧浓度从6. 30 mg·L~(-1)在1 d内快速下降到0. 61 mg·L~(-1),表明该系统一直处于厌氧状态.水中总氮浓度0～2 h迅速增加达到12. 7 mg·L~(-1),2 h～32 d逐渐降低到5. 80 mg·L~(-1),后期略有增加;总磷浓度初期快速升高到18. 4 mg·L~(-1),中后期趋于稳定.有机氮(占总氮65. 7%～94. 7%)和无机磷(占总磷61%～89%)是主要的氮磷存在形态.绿狐尾藻体内总氮含量随分解时间逐渐增加,从24. 3 mg·g~(-1)上升到60. 5 mg·g~(-1);而总磷含量从6. 09 mg·g~(-1)下降到2. 94 mg·g~(-1)后波动稳定,这可能与附着微生物对氮的吸收和固定等因素有关.本研究证实绿狐尾藻分解过程释放的氮磷营养元素会引起水体二次污染,为此采用合理的植物收割管理措施非常必要.     

生物炭负载P掺杂g-C3N4复合光催化剂制备及其对萘光催化降解机制

采用农业资源废弃物玉米秸秆为生物质原材料,双氰胺为前驱物,（NH₄）₂HPO₄为磷源,通过高温煅烧和浸渍法成功制备了可循环使用的生物炭负载P掺杂g-C₃N₄复合光催化剂,并采用X射线衍射（XRD）、红外光谱（FTIR）、扫描电子显微镜（SEM）、紫外可见漫反射（UV-vis DRS）和光致发光光谱（PL）等手段对所制备样品的化学结构、表观形貌和光学特性进行了表征.结果表明,成功将P元素引入g-C₃N₄结构中,可有效改变其能带结构,降低其光生载流子复合几率;此外,生物炭作为载体,具有较好的稳定性和特殊的光电性能,不仅有利于g-C₃N₄的光电荷分离,还可提高其对可见光的响应能力.选取多环芳烃萘作为研究对象来探究不同种类光催化剂的光催化性能及对萘的去除效率.结果表明,质量比为1：1的生物炭负载P掺杂g-C₃N₄对萘表现出了最优的光催化性能,去除率为76.41%,一级动力学反应速率常数为0.0084 min^-1,是纯g-C₃N₄的3.1倍.此外,通过自由基捕获实验提出了光催化降解萘的可能机理.     

广东省CO2排放变化的社会经济影响因素

作为我国经济最为发达的省份之一,广东省社会经济可持续发展面临CO₂排放量增长的挑战.从多角度分析广东省CO₂排放变化的社会经济影响因素,有助于其实现低碳发展.基于投入产出模型,从生产、需求和供应角度分析1987—2015年广东省CO₂排放量的变化;此外,采用结构分解分析方法,从需求和供应角度量化广东省各种社会经济因素对CO₂排放变化的相对贡献.结果表明:①与生产端相比,需求侧和供给侧的研究有助于识别不同的关键行业,如建筑业（需求侧）、金融和保险业（供给侧）.②降低碳排放强度是减少广东省CO₂排放的主要因素,而人均最终需求水平和人均初始投入增加是推动广东省CO₂排放增加的主要因素.③生产结构、最终需求结构和初始投入结构变化导致CO₂排放量略有增加,表明广东省具有较大的通过调整结构性因素减排CO₂的潜力.综上,建议除了生产端CO₂减排措施外,广东省还应采取需求侧和供给侧相关措施,如优化消费行为、产品分配行为和初始投入结构等.      

MWNTs/TiO2对典型氯苯类化合物的光催化降解研究

研究复合光催化剂MWNTs/TiO2对典型氯苯类有机化合物光催化降解动力学及主要光降解路径.结果表明,同一初始浓度和相同光催化降解实验条件下,60min时典型氯苯类有机化合物的光降解率均达到90%以上.其中六氯苯和五氯苯的光催化降解速率常数分别为0.0664h-1和0.0670h-1,其大小明显高于其它氯苯类化合物.1,二氯苯的光催化降解反应速率常数仅为0.0430h4--1,在典型氯苯类化合物中最小.三氯苯的3种同分异构体——1,3-三氯苯、24-三氯苯和1,5-三氯苯的光催化降解速率常数分别为0.0547h2,1,,3,-1、0445h0.-1和0.0439h-1.六氯苯的主要光催化降解路径为:HCB→PeCB→1,2,3,5-TeCB→1,2,4-TCB→1,4-DCB.