菌株 Arthrobacter sp. CN2降解对硝基苯酚的特性与动力学

为研究对硝基苯酚降解菌Arthrobacter sp.CN2在实际生产中的应用潜力,本文分别分析了p H、盐浓度和额外添加碳源对降解效率的影响,同时对降解的动力学方程进行拟合分析.菌株CN2在p H 7.0~8.0,Na Cl浓度60 g·L-1之间能够高效降解对硝基苯酚,72 h内对50 mg·L-1对硝基苯酚的降解率均大于90%.同时发现适量添加葡萄糖(0.5%)可显著促进CN2降解对硝基苯酚,与不添加葡萄糖条件下相比,达到90%降解率所需时间缩短了16 h.当对硝基苯酚浓度低于300 mg·L-1时,菌株CN2对对硝基苯酚的降解符合一级动力学方程,降解速率常数在0.021 7~0.025 0之间.在生物反应器中应用菌株CN2模拟处理工业废水,3 L含对硝基苯酚废水(100 mg·L-1)在72h的降解率大于90%.研究表明,菌株Arthrobacter sp.CN2能够高效地降解对硝基苯酚,对于环境有良好适应能力,具有良好的应用前景.     

氮化碳增强Ag/AgI/γ-Al2O3的可见光催化性能及其机理

通过热聚合的方法使氮化碳(CN)与Ag/AgI/γ-Al_2O_3发生耦合作用,制备出CN-Ag/AgI/γ-Al_2O_3可见光催化剂.采用X射线衍射(XRD)、X射线光电子能谱(XPS)、透射电子显微镜(TEM)和紫外可见漫反射光谱(UV-vis DRS)等方法对合成的样品进行了表征,并通过可见光下甲基橙(MO)的降解实验探究了CN对Ag/AgI/γ-Al_2O_3光催化活性及稳定性的影响.结果表明,CN的掺杂改变了Ag纳米颗粒的形状与粒径,且Ag、AgI与CN之间形成强相互作用.与Ag/AgI/γ-Al_2O_3相比较,在可见光波长分别为λ420、450和510 nm时,CN-Ag/AgI/γ-Al_2O_3对MO具有更高的催化降解效率,光反应30 min后,MO的去除率分别为97%、97%和93%.同时,CN的加入显著地增加了Ag/AgI/γ-Al_2O_3的稳定性,抑制了反应过程中Ag~+的释放量,而且反应前后CN-Ag/AgI/γ-Al_2O_3样品的结构没有明显的变化.其活性和稳定性提高的主要原因是CN加速了电子由MO传递至Ag纳米颗粒的过程,同时Ag颗粒等离子体共振(plasmon)效应的增强也有利于MO的催化降解.不同自由基捕获剂的影响实验表明,O_2~(·-)和h~+是反应体系的主要活性物种.     

异常性检测算法在引信干扰信号识别中的应用

目的 解决传统分类引信抗干扰算法因干扰信号难获取、特征信号样本少、正负样本数不平衡而导致计算精度低的问题,克服引信抗干扰算法对样本的依赖性,并提高引信信号识别准确率。方法 通过WVD时频变换的方法,将拆分后的真实含扰引信信号切片进行重组,使其由一维时序信号向二维图片信息进行扩展,基于数据倍增策略,提升算法泛化性,并降低其对真实数据样本的依赖。融合GANomaly与EfficientNet网络,在扩充的引信数据集上进行线下干扰信号特征学习,并对含扰引信图像数据进行线上异常性判断与干扰信号识别。结果 GE-FS网络能够在真实引信小样本信号的基础上进行有效数据扩充,基于扩充数据训练后,引信含扰识别准确率达到98.4%。结论 GE-FS网络能有效针对引信异常信号进行精确检测与识别,可以增强引信系统的抗干扰能力与作战自适应性。     

PnET-CN模型对东亚森林生态系统碳通量模拟的适用性和不确定性分析

东亚地区森林类型多样,开展区域生态系统碳循环模拟时应考虑森林类型的差异。论文利用基于叶氮浓度-最大净光合作用速率关系的PnET-CN模型,对东亚地区8 个森林生态系统通量观测站点的总生态系统碳交换（GEE）和生态系统呼吸（RE）进行模拟,以探讨模型的适用性并对不确定性来源进行分析。研究结果表明：①PnET-CN模型能较为准确地模拟东亚地区大部分森林生态系统站点的GEE和RE;②模型的适用性排序依次为温带、寒温带、亚热带、 热带,模型未能很好地模拟热带湿地森林GEE和RE 的季节与年际变异;③在同一气候区中,PnET-CN模型更加适用于针叶林碳交换的模拟;④PnET-CN模型比较准确地反映了东亚森林生态系统GEE、RE对气候因子（例如,温度或辐射）的响应,但在低温、较弱辐射条件下模型低估了GEE,在高温或较强辐射条件下高估了GEE;在低温条件下模型低估了RE,在高温条件下模型高估了RE。针对东亚多个森林通量站点的模拟情况,论文提出模型应在以下方面进行改进：①PnET-CN模型计算物候时除了考虑温度之外还应加入土壤湿度的影响,并对不同气候区森林生态系统赋予不同叶片凋落时长;②PnET-CN模型中温度对GEE的限制以及光合最适温度应该根据不同站点设置;③PnET-CN模型应该考虑森林生态系统对环境胁迫的适应性,加强对干旱等干扰的模拟;④同时对于拥有复杂水文条件的森林生态系统应该改进土壤含水量的算法,以准确反映该类型森林生态系统GEE和RE的季节变化。     

Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis

Growing water scarcity and global climate change call for more efficient alternatives of water conservation; rainwater harvesting (RWH) is the most promising alternative among others. However, the assessment of RWH potential and the selection of suitable sites for RWH structures are very challenging for the water managers, especially on larger scales. This study addresses this challenge by presenting a fairly robust methodology for evaluating RWH potential and identifying sites/zones for different RWH structures using geospatial and multicriteria decision analysis (MCDA) techniques. The proposed methodology is demonstrated using a case study. The remote sensing data and conventional field data were used to prepare desired thematic layers using ArcGIS© software. Distributed Curve Number method was used to calculate event-based runoffs, based on which annual runoff potential and runoff coefficient maps were generated in the GIS (geographic information system) environment. Thematic layers such as slope, drainage density, and runoff coefficient and their features were assigned suitable weights and then they were integrated in a GIS to generate a RWH potential map of the study area. Zones suitable for different RWH structures were also identified, together with suitable sites for constructing recharge structures (check dams and percolation tanks along the streams). It was found that the study area can be classified into three RWH potential zones: (a) ‘good’ (241 km²), (b) ‘moderate’ (476 km²), and (c) ‘poor’ (287 km²). About 3% of the study area (30 km²) is suitable for constructing farm ponds, while percolation tanks (on the ground) can be constructed in about 2.7% of the area (27 km²). Of the 83 sites identified for the recharge structures, 32 recharge sites are specially suited to the inhabitants because of their proximity. It is concluded that the integrated geospatial and MCDA techniques offer a useful and powerful tool for the planning of rainwater harvesting at a basin or sub-basin scale.