BOD微生物传感器检测方法的研究

采用固定化微生物分散悬浮的方法，进行了BOD微生物传感器及其检测方法的研究。该传感器响应大、测量范围广、稳定性好，测定BOD时，线性响应范围为0-500mg/L，线性相关系统数达到0.99以上，且存在很好的重现性，响应时间在12min内。测定结果与BOD5标准方法具有良好的相关性，连续稳定地工作寿命在4个月以上。     

生物传感器快速测定BOD在海洋监测中的应用

选用一株耐高渗透压的酵母菌种作为敏感材料可以实现BOD的快速测定。采用海藻酸钙包埋法和聚乙烯醇包埋法两种细胞固定化方法并进行了比较。就聚乙烯醇固定化微生物进行了渗稼压和重金属离子影响的研究。     

Decomplexation of Cu-1-hydroxyethylidene-1,1-diphosphonic acid by a three-dimensional electrolysis system with activated biochar as particle electrodes

The feasibility of decomplexation removal of typical contaminants in electroplating wastewater, complexed Cu(II) with 1-hydroxyethylidene-1,1-diphosphonic acid (Cu-HEDP), was first performed by a three-dimensional electric reactor with activated biochar as particle electrodes. For the case of 50 mg/L Cu-HEDP, Cu(II) removal (90.7%) and PO initial pH 7, acid-treated almond shell biochar (AASB) addition 20 g/L, and reaction time 180 min, with second-order rate constants of 1.10 × 10⁻³ and 1.94 × 10⁻⁵ min⁻¹respectively. The growing chelating effect between Cu(II) and HEDP and the comprehensive actions of adsorptive accumulation, direct and indirect oxidation given by particle electrodes accounted for the enhanced removal of Cu-HEDP, even though the mineralization of HEDP was mainly dependent on anode oxidation. The performance attenuation of AASB particle electrodes was ascribed to the excessive consumption of oxygen-containing functionalities during the reaction, especially acidic carboxylic groups and quinones on particle electrodes, which decreased from 446.74 to 291.48 µmol/g, and 377.55 to 247.71 µmol/g, respectively. Based on the determination of adsorption behavior and indirect electrochemical oxidation mediated by in situ electrogenerated H₂O₂ and reactive oxygen species (e.g., •OH), a possible removal mechanism of Cu-HEDP by three-dimensional electrolysis was further proposed.     

家庭中水利用装置系统的设计

结合我国家庭中水的利用现状,设计了一套具有广泛应用性的家庭中水利用装置系统,并实现了相应的自动化控制方案。同时,详细介绍了系统的设计思路与实现的主要功能,并对装置系统的有关问题进行了深入的探讨。     

BOD微生物传感器的研究

本实验从活性污泥中分离筛选出一株对广泛底物具有外源呼吸的假单胞菌(Pseudomonas sp.A_4)。用该种菌株制成的BOD微生物传感器可在15min内完成一个样品BOD的测定。该法与传统方法有较好的相关性,可连续使用六周以上。     

废水中优先控制污染酚的HPLC分离-电化学检测

研究了 HPL C分离 -安培法检测四种优先控制污染酚的色谱条件。在 Shim- pack CL C- ODS柱上 ,以 0 .1mol/L Na H2 PO4 +0 .0 5 mm ol/L EDTA· 2 Na+1% CH3 COOH(p H3.0 ) +5 0 % CH3 OH作流动相 ,氧化电位 +1.0 V检测。工作曲线的线性范围在 0～ 30μg/ml,检测限达 ng/m l     

阳极材料对医院污水电化学消毒处理效果的研究

分析了三维电极法处理医院污水的影响因素，探讨了阳极材料、电流密度．水力停留时间、空气流量、极水比等因素对消毒效果的影响，确定在不加化学药剂、不影响水质和低耗能条件下电化学消毒试验的最佳使用条件。结果表明，在用涂有贵金属（钌、铂、铱）氧化物的钛板作阳极，不锈钢板作阴极，电流密度为6mA／cm^2、水力停留时间为15min、空气流量为40L／h、极水比为1．0的试验条件下，消毒后污水中总大肠菌群数〈500CFU／L。电化学法消毒处理医院污水方法简单有效、运行费用低，无二次污染．处理后的污水达到国家一级排放标准（GB8978—1996）。     

高压脉冲电凝聚技术处理活性染料废水试验研究

难生物降解有机废水是废水处理的难点。阐述了高压脉冲电凝聚技术处理高浓度、难生物降解有机废水的最新机理。采用高压脉冲电凝聚技术处理活性染料（活性红）生产废水．研究了影响高压脉冲电凝聚技术处理活性染料废水效果的操作条件及影响因素．结果表明，在最佳处理工艺条件下。CODCr浓度12628mg／L的生产废水经处理后CODCr去除率为65％左右。再经后续混凝沉淀，最终出水CODCr可降低到1000mg／L以下。     

BASIN SCALE WATER MANAGEMENT AND FORECASTING USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: Water scarcity in the Sevier River Basin in south‐central Utah has led water managers to seek advanced techniques for identifying optimal forecasting and management measures. To more efficiently use the limited quantity of water in the basin, better methods for control and forecasting are imperative. Basin scale management requires advanced forecasts of the availability of water. Information about long term water availability is important for decision making in terms of how much land to plant and what crops to grow; advanced daily predictions of streamflows and hydraulic characteristics of irrigation canals are of importance for managing water delivery and reservoir releases; and hourly forecasts of flows in tributary streams to account for diurnal fluctuations are vital to more precisely meet the day‐to‐day expectations of downstream farmers. A priori streamflow information and exogenous climate data have been used to predict future streamflows and required reservoir releases at different timescales. Data on snow water equivalent, sea surface temperatures, temperature, total solar radiation, and precipitation are fused by applying artificial neural networks to enhance long term and real time basin scale water management information. This approach has not previously been used in water resources management at the basin‐scale and could be valuable to water users in semi‐arid areas to more efficiently utilize and manage scarce water resources.     

有序介孔碳载金/L-赖氨酸/纳米金修饰电极的制备及其对邻苯二酚、对苯二酚的检测响应研究

通过化学还原的方法合成有序介孔碳负载纳米金粒子,并构筑有序介孔碳载金/L-赖氨酸/纳米金复合膜修饰玻碳电极;利用扫描电镜观察介孔碳和介孔碳复合膜的微观结构,并用循环伏安法、电化学阻抗谱表征自组装电极的过程.在此基础上用差分脉冲伏安法研究对苯二酚和邻苯二酚混合物在该电极上的电催化氧化,研制了一种基于有序介孔碳载金/L-赖氨酸/纳米金复合膜修饰电极分别检测对苯二酚和邻苯二酚的传感器.在最优的实验条件下,该传感器在对苯二酚和邻苯二酚浓度为1×10-6～8×10-4mol·L-1的范围内具有良好的线性关系,检出限分别为3×10-7mol·L-1、7×10-7mol·L-1.