新型二氧化铅电极处理有机染料废水的研究

研究了高压塑片法制备新型二氧化铅电极的工艺,通过循环伏安、X衍射和扫描电镜等手段对电极性能的考察表明,该电极不仅具有高电催化活性,还有很好的抗腐蚀性能.通过与普通石墨电极的对比实验,进一步探讨了该电极降解中性枣红染料的机制和工艺条件.结果表明,该电极在脱色和COD降解方面都有明显的优越性.在含磷酸盐和氯离子的体系中,降解效率尤为突出.     

人工神经网络在水质规划和管理中的应用

对人工神经网络在水质规划与评价、给水处理与污水处理等几方面的应用研究现状、发展趋势进行了综述，并通过一些实例分析得出：人工神经网络用于水质规划和管理不但可行，而且适应性强、结果客观、合理、具有深入开发的研究价值和良好的应用前景。     

Turbulence closure models and their application in RAMS

Turbulence closures are fundamental for modelling the atmospheric diffusion in numerical codes and the resulting eddy diffusivities are key parameters in describing the transport and dispersion in the boundary layer. In this work, four turbulence closure schemes have been applied for reproducing a neutral flow over schematic complex terrain using the meteorological model RAMS. Two of the closures, a one-equation (E-l) and a two-equations (E-) model, have been implemented in RAMS in alternative to the ones originally available. In these cases, an analytical method based on the similarity theory for the atmospheric surface layer and boundary layer is adopted to calculate the empirical constants of the turbulence closures. Some examples of numerical studies performed to simulate the flow and turbulence over a 3-D hill in wind-tunnel experiment in neutral stratification are presented and discussed. An intercomparison of simulations related to different closures is considered by analysing the main features of the flow over the hill and by comparing calculated vertical profiles of turbulent kinetic energy with measured ones.     

中性高锰酸钾贮备液稳定性探讨

对不同温度下的高锰酸钾贮备液进行多次定量稀释并标定,实验结果表明,高锰酸钾浓度基本不变。     

BP网络应用于长江水质研究

运用我国地面水环境质量标准(GB3838-88)作为学习样本,选取了包括氧平衡参数、营养元素、重金属离子、油类等14个指标,运用人工神经网络BP模型对长江干流和主要支流(含湖泊)的水环境质量进行分类研究。将计算结果与GIS数字化图形相结合,表明长江干流和大部分支流水质状况基本良好,上游支流沱江、下游支流大运河及太湖已受到较为严重的污染;长江干流城镇区段已经受到一定程度的污染。      

AOD渣中铬的连续淋溶特性及其动力学模型的构建

为评价AOD(氩氧脱碳炉)渣的淋溶毒性,采用连续20 d的静态淋溶试验,研究了中性和酸性淋溶液对AOD炉渣中Cr(铬)淋溶特性的影响,以累积溶出率构建了Cr淋溶动力学模型. 结果表明:在连续淋溶过程中,淋溶液pH(9.6~11.5)始终保持碱性,DO(溶解氧)基本处于饱和状态,淋溶液还原性呈降低趋势;随着淋溶时间的延长,淋溶液中Cr6+、TCr和Cr3+的累积溶出率呈增加趋势,不同初始淋溶液pH(2.0、3.0、4.0、5.0、6.0、7.0)下,连续淋溶20 d时Cr6+、TCr和Cr3+的累积溶出率分别是淋溶2 d时的10.1~22.2、7.5~15.6、6.3~17.1倍;与中性和弱酸性淋溶液相比,连续淋溶20 d,酸性较强的淋溶液中Cr6+、TCr和Cr3+的累积溶出率分别为其3.1~6.6、1.6~3.2和1.8~2.1倍;与短期静态淋溶相比,连续淋溶增加了淋溶液总量,尽管ρ(Cr)变化较小,但TCr累积溶出率显著增加;双常数速率、抛物线和指数模型均可拟合淋溶液中Cr6+、TCr和Cr3+的累积溶出率,其中,抛物线模型的相关系数均在0.99以上,是最佳模型. AOD渣中Cr的连续淋溶动力学模型的构建可为不锈钢渣中Cr的淋溶毒性及其生态风险评价奠定试验和理论基础.      

稀土掺杂TiO2膨润土光催化降解中性红的研究

文章主要以膨润土为载体,钛酸正四丁酯和硫酸高铈为原料,采用溶胶-凝胶法制备稀土掺杂TiO2膨润土复合光催化剂,用XRD和SEM对稀土掺杂TiO2膨润土的结构和形貌进行表征,表征结果表明其具有很高的比表面积,并且存在明显的锐钛矿型TiO2晶型特征峰.研究催化剂的用量、染料的初始浓度、光照时间、pH值等因素对中性红染料脱色...     

东湖沉积物营养状况的BP神经网络模型研究

运用人工神经网络对东湖沉积物营养状况进行了模拟研究.以东湖三个样点柱状沉积物的TN、TP、TOC、SRP、TSL、pH6个因子作为网络模型的输入变量,建立了训练样本和测试样本,同时采用有机指数值作为输出变量,对东湖沉积物营养状况进行评价分析.通过模型分析,结果显示东湖沉积物处于肥污染状态.在2008年6月采得的数据样本...     

类芬顿调理污泥用于微生物电解池产氢与磷回收的研究

为提高微生物电解池(MEC)利用剩余污泥产氢气和磷回收的效率,采用Fe~(3+)、原儿茶酸(PCA)和H_2O_2体系预调理污泥,探究中性PCA/Fe~(3+)/H_2O_2体系的试剂投加量对污泥液相总磷含量和溶解性化学需氧量(SCOD)的影响.在单因素试验的基础上,通过表面响应法(RSM)优化得到Fe~(3+)和H_2O_2投加量分别为12.96 mmol·L~(-1)和0.45 mol·L~(-1),液相总磷含量和SCOD含量实际值分别为(60.14±0.08) mg·L~(-1)和(3357.67±66.37) mg·L~(-1),模拟效果显著.与未处理的剩余污泥MEC反应器出水相比,经过调理后的剩余污泥MEC反应器出水中的总化学需氧量(TCOD)、多糖和蛋白质的去除率分别提高了30.03%、50.16%和97.31%,氢气转化率提升了1.31倍,有效提升了MEC产氢效率.通过鸟粪石结晶回收MEC污泥上清液中的磷,发现在初始pH值为10、Mg~(2+)浓度为0.056 mol·L~(-1)和NH~+_4浓度为0.08 mol·L~(-1)时效果最佳.鸟粪石晶体质量浓度最高可达7.6 g·L~(-1),晶体纯度最大为88.30%,上清液中77.55%的磷以鸟粪石的形式得到回收.在本研究最优化条件下进行中性PCA/Fe~(3+)/H_2O_2体系调理剩余污泥微生物电解池产氢与磷回收全过程中产出经济价值达到2.36元.实验研究最终表明,经过Fe~(3+)/PCA/H_2O_2体系调理污泥可促进污泥中磷的释放和MEC处理污泥的产氢效率,为探究污泥资源化提供了新的研究思路.     

Wastewater treatment meets artificial photosynthesis: Solar to green fuel production,water remediation and carbon emission reduction

• Mitigating energy utilization and carbon emission is urgent for wastewater treatment. • MPEC integrates both solar energy storage and wastewater organics removal. • Energy self-sustaining MPEC allows to mitigate the fossil carbon emission. • MPEC is able to convert CO₂ into storable carbon fuel using renewable energy. • MPEC would inspire photoelectrochemistry by employing a novel oxidation reaction. Current wastewater treatment (WWT) is energy-intensive and leads to vast CO₂ emissions. Chinese pledge of “double carbon” target encourages a paradigm shift from fossil fuels use to renewable energy harvesting during WWT. In this context, hybrid microbial photoelectrochemical (MPEC) system integrating microbial electrochemical WWT with artificial photosynthesis (APS) emerges as a promising approach to tackle water-energy-carbon challenges simultaneously. Herein, we emphasized the significance to implement energy recovery during WWT for achieving the carbon neutrality goal. Then, we elucidated the working principle of MPEC and its advantages compared with conventional APS, and discussed its potential in fulfilling energy self-sustaining WWT, carbon capture and solar fuel production. Finally, we provided a strategy to judge the carbon profit by analysis of energy and carbon fluxes in a MPEC using several common organics in wastewater. Overall, MPEC provides an alternative of WWT approach to assist carbon-neutral goal, and simultaneously achieves solar harvesting, conversion and storage.