泗顶矿区6种土地利用类型土壤微生物群落结构特征

以广西柳州泗顶铅锌矿区的玉米地、菜地、灌木、尾矿库、森林和柑橘园6种不同利用类型土壤为研究对象,采用高通量测序技术,分析了不同土地利用类型土壤微生物群落结构特征及土壤环境因子对微生物群落结构的影响.结果表明,变形菌门（Proteobacteria）是6种土壤的优势菌门,所占比例为31.34%~53.47%,γ-变形菌纲（Gammaproteobacteria）为优势菌纲.冗余分析表明,在重金属含量最高的灌木区,厚壁菌门（Firmicutes）和拟杆菌门（Bacteroidetes）的丰度与土壤中铅、锌、镉、铜的含量呈现显著正相关;在土壤钠和钾含量较高的玉米地和菜地,浮霉菌门（Planctomycetes）的丰度有所增加,而厚壁菌门和拟杆菌门的丰度则有所下降.在土壤有机质含量较高而总氮、总磷含量较低的柑橘园,酸杆菌门（Acidobacteria）和疣微菌门（Verrucomicrobia）的丰度较高.芽单胞菌门（Gemmatimonadetes）和浮霉菌门的丰度与土壤pH值呈显著正相关.研究结果表明土地利用类型及土壤环境因子对土壤微生物群落结构多样性有显著的影响.     

北方湖库沉积物重金属区域特征及生态风险评价

以白洋淀、衡水湖、于桥水库、松花湖、大伙房水库和小兴凯湖沉积作为研究对象,通过对北方六湖库沉积物中Cu、Zn、Pb、Cr、Ni等重金属元素进行分析,并与国内外其他水域重金属污染情况进行多因素比较,探讨了六湖库主要重金属污染源的差异性,区域分布特征以及与国内外其他水域污染的相似性和区别.结果表明,六湖库沉积物重金属污染处于中等偏下水平.六湖库之间主要重金属污染源存在差别.沉积物重金属含量未出现明显上升的趋势.其中Zn、Pb存在富集现象,但Pb含量与历史数据相比出现下降,Zn的含量与其他地区相比整体偏高.大伙房水库沉积物重金属污染较重,Cu、Zn、Pb、Cr、Ni含量平均值分别为56.28,142.3,17.44,97.9,44.44mg/kg.小兴凯湖沉积物重金属含量最低,Cu、Zn、Pb、Cr、Ni含量平均值分别为2.41,63.90,13.37,56.36,26.09mg/kg.六湖库综合风险评价结果为大伙房水库>于桥水库>白洋淀>衡水湖>松花湖>小兴凯湖,重金属整体潜在生态风险指数为低.     

海绵城市透水砖铺装系统雨水入渗及重金属污染物迁移模拟

海绵城市透水砖铺装系统（PBPS）入渗特征是产流控制及径流污染物去除的重要影响因素之一。通过渗流实验,构建系统土壤层土水特征曲线,建立降雨入渗及径流重金属污染物迁移数学模型,以阐明找平层土壤粒径、基层与垫层厚度比对产流时间及径流重金属污染物去除的影响。研究表明:综合考虑延迟产流与径流重金属去除能力,中砂作为找平层介质最佳;依据结构层出水重金属污染物浓度,基层与垫层厚度比为15∶4时,PBPS对径流中重金属污染物吸附效率最高、去除效果较好。     

基于Sentinel-2的平寨水库叶绿素a浓度反演

为实现对平寨水库叶绿素a的遥感监测,选取平寨水库2017年11月17—18日的实测叶绿素a浓度数据和准同步的Sentinel-2数据,通过选取最佳波段组合建立BP神经网络模型,对平寨水库叶绿素a进行反演,并分析其空间分布特征。结果表明:Sentinel-2红边波段对叶绿素a的敏感性优于可见光波段,在叶绿素a浓度反演方面具有较大潜力。相关系数最大的波段组合方式是:B5/B4、[1/B4-1/B5]*B6、[1/B4-1/B5]*B7和[1/B4-1/B5]*B8;BP神经网络模型可决系数R2为0.9160,平均相对误差为29.87%,反演精度优于三波段模型;平寨水库叶绿素a浓度空间分布差异明显,水面开阔的中心库区浓度较高,各支流上游河段浓度较低。Sentinel-2数据可较好地应用于喀斯特高原湖泊叶绿素a浓度反演,BP神经网络模型估测结果合理、可靠;研究结果可为平寨水库水环境治理提供科学依据。     

二乙烯三胺五甲叉膦酸酸解磷尾矿的实验探究

为减少磷尾矿堆积带来的环境污染问题,实现磷尾矿的钙、镁、磷元素的分离,以高镁磷尾矿为原料,采用二乙烯三胺五甲叉膦酸(DTPMP)进行酸解,探究磷尾矿中主要物相在DTPMP中的分解机制,并通过单因素实验探究pH、反应时间、反应温度及投料比对磷尾矿中MgO、CaO和P_2O_5分解率的影响。实验结果表明:pH对P_2O_5的分解率影响较大,高温更有利于尾矿中镁的溶出,在pH为2. 5,反应时间为60 min,反应温度为80℃,投料比为1. 56时,MgO、CaO和P_2O_5的分解率分别达到61. 05%、38. 23%和9. 67%。     

建筑垃圾堆放点样本集构建与优化研究

为更好地解决手工制作的建筑垃圾堆放点样本集效率低、数据量少,难以支撑基于深度学习的遥感图像目标检测算法训练需求的问题,采用基于像素的遥感分类方法构建建筑垃圾堆放点样本集,在此基础上结合直方图均衡化,CS-LBP算子约束以及迁移学习的方法对Wasserstein生成对抗模型（WGAN）进行优化,实现了样本集扩充。研究结果表明:相对于纯手工制作的样本集,基于像素的遥感分类方法可以显著提升样本集制作的效率;同时,经过WGAN优化后,生成样本模拟了原始数据的颜色与纹理特征分布规律,增加了原始数据的多样性,满足了扩充样本集的需求。     

Acceleration of floc-water separation and floc reduction with magnetic nanoparticles during demulsification of complex waste cutting emulsions

Waste cutting emulsions are difficult to treat efficiently owing to their complex composition and stable emulsified structure. As an important treatment method for emulsions, chemical demulsification is faced with challenges such as low flocs–water separation rates and high sludge production. Hence, in this study, Fe₃O₄ magnetic nanoparticles (MNPs) were used to enhance chemical demulsification performance for treating waste cutting emulsions under a magnetic field. The addition of MNPs significantly decreased the time required to attain sludge–water separation and sludge compression equilibrium, from 210 to 20 min. In addition, the volume percentage of sludge produced at the equilibrium state was reduced from 45% to 10%. This excellent flocculation–separation performance was stable over a pH range of 3–11. The magnetization of the flocculants and oil droplets to form a flocculant–MNP–oil droplet composite, and the magnetic transfer of the composite were two key processes that enhanced the separation of cutting emulsions. Specifically, the interactions among MNPs, flocculants, and oil droplets were important in the magnetization process, which was controlled by the structures and properties of the three components. Under the magnetic field, the magnetized flocculant–MNP–oil droplet composites were considerably accelerated and separated from water, and the sludge was simultaneously compressed. Thus, this study expands the applicability of magnetic separation techniques in the treatment of complex waste cutting emulsions.     

干湿法结合工艺回收废弃SCR脱硝催化剂中的钛、钒和钨

利用干湿法结合工艺实现废弃SCR脱硝催化剂中Ti、V和W元素的高效分离和浸出,提出成套废弃SCR脱硝催化剂中Ti、V和W的回收技术。以废弃SCR脱硝催化剂为研究对象,优选Ti、V和W元素最佳浸出工况,研究硫酸溶解法回收TiO₂和有机萃取法回收V₂O₅和WO₃的回收率与纯度。结果表明:酸浸还原浸钒最优工艺条件为温度140℃,液固比30∶1;钠化焙烧浸钨最优工艺条件为煅烧温度750℃,反应物与Na₂CO₃配比（质量比）为1∶1.5,在以上条件下V、W浸出率分别达到97.6%、93.6%。利用硫酸溶解法回收得到的TiO₂产物主要以锐钛矿晶型存在形式,在最佳焙烧温度750℃下,TiO₂回收率达到97.17%,纯度为95.35%。利用有机萃取法回收得到的V₂O₅和WO₃产物的回收率和纯度分别为72.47%、75.43%和93.25%、78.26%。     

Development of a static test apparatus for evaluating the performance of three PM2.5 separators commonly used in China

PM_(2.5) separator directly affects the accuracy of PM_(2.5) sampling.The specification testing and evaluation for PM_(2.5) separator is particularly important,especially under China's wide variation of terrain and climate.In this study,first a static test apparatus based on polydisperse aerosol was established and calibrated to evaluate the performance of the PM_(2.5) separators.A uniform mixing chamber was developed to make particles mix completely.The aerosol concentration relative standard deviations of three test points at the same horizontal chamber position were less than 0.57%,and the particle size distribution obeyed logarithmic normal distribution with an R~2 of 0.996.The flow rate deviation between the measurement and the set point flow rate agreed to within ± 1.0% in the range of -40 to 50℃.Secondly,the separation,flow and loading characteristics of three cyclone separators(VSCC-A,SCC-A and SCC112) were evaluated using this system.The results showed that the 50% cutoff sizes(D_(50)) of the three cyclones were 2.48,2.47 and 2.44 μm when worked at the manufacturer's recommended flow rates,respectively.The geometric standard deviation(GSD) of the capture efficiency of VSCCA was 1.23,showed a slightly sharper than SCC-A(GSD = 1.27),while the SCC112 did not meet the relevant indicator(GSD = 1.2 ± 0.1) with a GSD = 1.44.The flow rate and loading test had a great effect on D_(50),while the GSD remained almost the same as before.In addition,the maintenance frequency under different air pollution conditions of the cyclones was summarized according to the loading test.     

On-going nitrification in chloraminated drinking water distribution system (DWDS) is conditioned by hydraulics and disinfection strategies

Within the drinking water distribution system (DWDS) using chloramine as disinfectant, nitrification caused by nitrifying bacteria is increasingly becoming a concern as it poses a great challenge for maintaining water quality. To investigate efficient control strategies, operational conditions including hydraulic regimes and disinfectant scenarios were controlled within a flow cell experimental facility. Two test phases were conducted to investigate the effects on the extent of nitrification of three flow rates (Q = 2, 6, and 10 L/min) and four disinfection scenarios (total Cl₂=1 mg/L, Cl₂/NH₃-N=3:1; total Cl₂=1 mg/L, Cl₂/NH₃-N=5:1; total Cl₂=5 mg/L, Cl₂/NH₃-N=3:1; and total Cl₂=5 mg/L, Cl₂/NH₃-N=5:1). Physico-chemical parameters and nitrification indicators were monitored during the tests. The characteristics of biofilm extracellular polymetric substance (EPS) were evaluated after the experiment. The main results from the study indicate that nitrification is affected by hydraulic conditions and the process tends to be severe when the fluid flow transforms from laminar to turbulent (2300<Re<4000). Increasing disinfectant concentration and optimizing Cl₂/NH₃-N mass ratio were found to inhibit nitrification to some extend when the system was running at turbulent condition (Q = 10 L/min, Re = 5535). EPS extracted from biofilm that was established at the flow rate of 6 L/min had greater carbohydrate/protein ratio. Furthermore, several nitrification indicators were evaluated for their prediction efficiency and the results suggest that the change of nitrite, together with total organic carbon (TOC) and turbidity can indicate nitrification potential efficiently.