Biodegradation of 2,4,6-trichlorophenol in the presence of primary substrate by immobilized pure culture bacteria

In this study, pure strains that are capable of utilizing 2,4,6-trichlorophenol have been isolated from the mixed culture grown on substrates containing chlorophenolic compounds. Studies have been carried out on the capability of these isolated pure strains in suspended and immobilized forms to decompose 2,4,6-trichlorophenol. Additionally, the influence of primary substrates (e.g., phenol, 2-chlorophenol, 3-chlorophenol, 4-chlorophenol, 2,4-dichlorophenol) on the decomposition of 2,4,6-trichlorophenol by the isolated pure strains grown in immobilized form is also investigated. The results are: Through bacterial isolation and identification, three pure strains have been obtained: Pseudomonas spp. strain 01, Pseudomonas spp. strain 02 and Agrobacterium spp. Whether in suspended or immobilized forms, all strains have poor removal efficiencies of 2,4,6-trichlorophenol. However, addition of 200 mg/l phenol will enable the immobilized Pseudomonas spp. strain 01, and Pseudomonas spp. strain 02 to achieve 65% and 48% removal of 2,4,6-trichlorophenol, respectively. Addition of phenol will assist the immobilized Pseudomonas spp. strain 02 in achieving removal of 2,4,6-trichlorophenol but the removal efficiency is not good if the phenol concentration is too low. The optimum phenol concentration should be between 200 and 400 mg/l.     

纳米Fe3O4对污泥厌氧产沼气性能的影响

对采用共沉淀法制备的纳米Fe₃O₄颗粒进行表征,并探究在中温(35 ℃)厌氧消化过程中纳米Fe₃O₄浓度对产气性能的影响。结果表明:纳米Fe₃O₄浓度为100 mg/L时可使厌氧体系中的氨氮浓度维持在600~1 200 mg/L,pH为7~8,TCOD_Cr以及SCOD_Cr去除率分别提高了8.35%和9.90%;该浓度下厌氧体系中产生的挥发性脂肪酸(VFA)浓度最大,可达4 300 mg/L,且强化了对乙酸的利用;该试验组的产气性能最好,相对于空白组,其累积产气量提高了28.08%,产气周期缩短了2 d,甲烷浓度提高了6%。     

Fe3O4/纤维素纳米复合材料的制备及其对亚甲基蓝的吸附

采用化学沉淀法与液相复合方法联合制备磁性无机-有机Fe3O4/纤维素复合材料。采用扫描电镜及红外光谱对其进行结构表征,以亚甲基蓝溶液为模拟废水,考察了接触时间、溶液初始pH及反应温度等因素对其吸附性能的影响,分别用准一级动力学和准二级动力学方程对数据进行拟合。结果表明,温度为22℃,溶液初始pH为7.55,Fe3O4/纤维素纳米复合材料加量为0.67 g·L-1,接触时间2 h,30 mg·L-1亚甲基蓝脱色率达99.20%,准二级动力学模型能更好地描述Fe3O4/纤维素复合材料对亚甲基蓝的吸附行为。同时,Fe3O4/纤维素纳米复合材料具有较强的磁性,可通过简单的磁铁吸引作用进行分离。     

NiFe2O4/ZnAl-LDH吸附去除水中Cr(VI)

采用共沉淀法合成磁性复合材料NiFe2O4/ZnAl-LDH,通过静态吸附试验考察复合材料去除水中Cr（VI）的性能,系统地研究了溶液初始pH值、吸附剂投加量、吸附时间和温度等因素对Cr（VI）去除效果的影响。结果表明,当溶液初始pH值为2、初始Cr（VI）浓度为50 mg·L-1、吸附剂投加量为4 g·L-1时,吸附过程在240 min内达到平衡,此时Cr（VI）的去除率为89.5%。动力学和吸附等温式的研究表明：NiFe2O4/ZnAl-LDH吸附Cr（VI）的过程符合准二级动力学和Langmuir等温吸附模型。热力学参数表明该吸附过程为自发、放热的反应过程,低温有利于吸附剂对Cr（VI）的吸附。吸附剂经4次再生后对Cr（VI）仍有83.1%的去除率,且其在外加磁场的作用下能快速与水溶液分离,因此NiFe2O4/ZnAl-LDH可作为去除水中Cr（VI）的良好吸附剂。     

磁性Fe3O4/石墨烯纳米复合材料催化降解水中17β-雌二醇

利用化学沉淀法制备磁性四氧化三铁 /石墨烯(Fe3O4 /GE)纳米复合材料,并将其与H2O2构成非均相Fenton体系用于催化降解水中微量的17β-雌二醇(E2),研究了初始pH值,初始H2O2浓度,催化剂用量对E2降解的影响。结果表明,Fe3O4/GE纳米复合材料在无需外加光源的条件下能够有效催化降解E2。在pH 7.0,E2初始浓度为1 mg/L,初始H2O2浓度为15 mmol/L,Fe3O4 /GE投加量为15 mg/L的条件下,反应8 h后可去除92.9%的E2。Fe3O4/GE具有便捷的磁分离特性和稳定的催化活性,经过7次循环使用后对E2的降解效率仍保持在91.5%左右。     

基于IME6400的MPEG-4嵌入式视频监控系统实现

本文基PMPEG-4的编码原理,利用嵌入式及网络技术设计实现了嵌入式视频监控系统.     

一种改性柱撑蒙脱石的制备及其对废水中SO2-4吸附效率研究

蒙脱石具有较大的比表面积和阳离子交换容量,吸附性能较好.但其不能有效地吸附疏水性物质,应用中常将一些聚合羟基金属阳离子引入到蒙脱石层间制成柱撑蒙脱石以提高其孔道特性和热稳定性.为了进一步提高其吸附效率,在柱撑蒙脱石中加入了物料A,高温焙烧,对其进行了一系列的改性,并确定了改性条件,制备了一种新型的SO2-4高效吸附剂,并应用于煤矿矿井废水的治理,改性后的吸附剂较柱撑蒙脱石对水中SO2-4的吸附率提高了54.6%.最佳焙烧温度为800℃,焙烧时间为4 h,焙烧的最佳物料配比为1:4.     

Prioritizing Wetland Restoration for Sediment Yield Reduction: A Conceptual Model

In a climate of limited resources, it is often necessary to prioritize restoration efforts geographically. The synoptic approach is an ecologically based tool for geographic prioritization of wetland protection and restoration efforts. The approach was specifically designed to incorporate best professional judgment in cases where information and resources are otherwise limited. Synoptic assessments calculate indices for functional criteria in subunits (watersheds, counties, etc.) of a region and then rank the subunits. Ranks can be visualized in region-scale maps which enable managers to identify areas where efforts optimize functional performance on a regional scale. In this paper, we develop a conceptual model for prioritizing watersheds whose wetlands can be restored to reduce total sediment yield at the watershed outlet. The conceptual model is designed to rank watersheds but not individual wetlands within a watershed. The synoptic approach is valid for applying the sediment yield reduction model because there is high demand for prioritizing disturbed wetlands for restoration, but there is limited, quantitative, accurate information available with which to make decisions. Furthermore, the cost of creating a comprehensive database is prohibitively high. Finally, because the model will be used for planning purposes, and, specifically, for prioritizing based on multiple decisions rather than optimizing a single decision, the consequence of prioritization errors is low. Model results cannot be treated as scientific findings. The conclusions of an assessment are based on judgement, but this judgement is guided by scientific principles and a general understanding of relevant ecological processes. The conceptual model was developed as the first step towards prioritizing of wetland restoration for sediment yield reduction in US EPA Region 4.     

衍生化气相色谱法测定黄磷诱发氧化水中苯酚降解产物

利用衍生化气相色谱法对黄磷诱发氧化苯酚降解产物进行了研究，在磷酸存在下，以甲醇作酯类衍行生试剂，分别和ＳＥ－５２和ＨＰ－１７石英毛细管双柱结合ＧＣ－ＭＳ进行分离定性定量，黄磷诱发氧化苯酚降解产物以羧酸为主，在反应温度５０℃时，表现为一级反应特征，速率常数（Ｋ）：０．０７７ｍｉｎ＾－１，半衰期（ｔ１／２）：９．０ｍｉｎ。     

Uncertainty, learning, and the optimal management of wildlife

Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.