The coupling of sand with ZVI/oxidants achieved proportional and highly efficient removal of arsenic

• Simply doping sands with ZVI achieved an even activation of ZVI by oxidants. • Sand doping facilitated proportional As trapping along the ZVI/oxidants column. • ZVI/sand/oxidants are highly efficient for arsenic removal. • ZVI/sand/oxidants reduced significantly the Fe²⁺ leaching and effluent turbidity. • More than 54% of arsenic was reduced to As(III) in ZVI/sand/oxidants system. The coupling of zero-valent iron (ZVI) with common oxidants has recently achieved very rapid and highly efficient removal of Heavy metals from wastewater. However, the uniform activation of ZVI throughout the column and the proportional removal of target contaminants are urgently required for the prevention of premature filter clogging and the extension of the effective column operational time. In this study, we successfully achieved this objective by simply doping granular sand with ZVI at appropriate weight ratios. When pure ZVI packed column was spiked with oxidants, the majority of As trapping occurred between the column inlet and the first sampling point. In a packed column with a 1:20 mixture of ZVI and sand, the average As removal efficiency was 36 (1st), 13.1 (2nd), 18.5 (3rd), 19.2 (4th) and 5.9% (5th outlet). The overall arsenic removal performance of the composite filling system of ZVI/sand was equally as efficient as that of the previous pure ZVI-packed system. Moreover, the leaching of Fe was significantly reduced with an increased sand ratio, resulting in clearer water with less turbidity. The results of X-ray photoelectron spectroscopy (XPS) demonstrated that more than 54% of the arsenic was reduced to As(III). X-ray diffraction (XRD) and scanning electron microscopy (SEM) confirmed the extensive corrosion of the ZVI surface, which resulted in various species of iron oxyhydroxides responsible for the highly efficient sequester of arsenic through reduction, adsorption, and coprecipitation.     

Nutrient status and pollution levels in five areas around a manganese mine in southern China

• The soil TP level was high or extremely high in all areas. • TN, OM and available Cu were insufficient in EA, TA and RA. • All areas reached the heavily polluted level and had high ecological risk levels. • Mn and Cd were the dominant pollutants. Nutrient status and pollution levels are the main factors affecting soil restoration. The nutrient status and pollution levels in five areas, an unexplored mine area (UA), an explored mine area (EA), a tailings area (TA), a reclamation area (RA) and an agricultural area (AA), around the Pingle manganese mine in Guangxi, China, were assessed in this study. The results showed that the average total phosphorus in these five areas ranged from 1.05 to 1.57 mg/kg, corresponding to grades of extremely high and high. The average total nitrogen values were 0.19, 0.69, 0.93, 1.24 and 1.67 mg/kg in EA, TA, RA, UA and AA, corresponding to grades of very low, low, medium-low, medium-high and medium-high, respectively. The average organic matter values were 12.78, 8.92, 22.77, 21.29 and 29.11 mg/kg in EA, TA, RA, UA and AA, which corresponded to grades of medium-low, low, medium-high, medium-high and medium-high, respectively. All these results indicated that the total phosphorus was sufficient in these areas, while the total nitrogen and organic matter were insufficient in EA, TA and RA. The available concentrations of Mn and Zn corresponded to the intermediate grade, while the values for Cu corresponded to the very low grade; these might be another factor restricting ecological reclamation. Contamination and ecological risk assessments based on the single contamination index, Nemerow multi-factor index and potential ecological risk index showed that the five tested areas around the Mn mine were considered heavily polluted and presented high ecological risk. Mn and Cd were the dominant pollutants.     

Dibutyl phthalate adsorption characteristics using three common substrates in aqueous solutions

• DBP adsorption was tested using three kinds of substrates in constructed wetlands. • The DBP adsorption capacity followed the order: steel slag>gravel>shell sand. • High temperatures increased the DBP adsorption capacity in the substrates. • DOM consistently inhibited the DBP adsorption onto steel slag and gravel. In recent years, the presence and adverse impacts of phthalic acid esters in aquatic environments have gained increasing attention. This work investigated the adsorption behavior of a typical phthalic acid ester, dibutyl phthalate (DBP), onto steel slag, gravel, and shell sand (substrates commonly used in constructed wetlands). The influence of dissolved organic matter (DOM) on DBP adsorption was investigated using humic acid as a proxy for DOM. The results demonstrated that the adsorption of DBP to three substrates reached equilibrium within 96 h, and the adsorption kinetics were well fitted by a pseudo-second-order model. The DBP adsorption isotherms were best fitted by the Langmuir adsorption model. The DBP adsorption capacity decreased in the order of steel slag>gravel>shell sand, with values of 656 mg/kg, 598 mg/kg, and 6.62 mg/kg at 25°C, respectively. DBP adsorbed to the surface of all substrates in a monolayer via an endothermic process. The DBP adsorption capacities of steel slag and gravel decreased as the DOM content increased. The DBP adsorption mechanisms to steel slag and gravel mainly involved the surface coordination of DBP with –OH or –COOH groups and electrostatic interactions. The results of this work suggest that steel slag and gravel may be ideal substrates for use in constructed wetlands to treat wastewater polluted with DBP.     

单组分垃圾厌氧降解初期的产气规律及恶臭特征

研究了垃圾单组分(蛋白类和糖类)厌氧降解初期的产气动态规律和恶臭特征。结果表明,糖类物料厌氧降解的累积产气量大于蛋白类物料,各物料的气体排放动态曲线不同,酪蛋白和淀粉物料呈现Monod型曲线,而纤维素物料呈现2次Monod型曲线;蛋白类物料降解产生的恶臭气体成分更丰富,且动态变化曲线有多种形式:硫化氢、磷化氢和硫8的浓度变化曲线呈单峰型,聚硫醚浓度曲线呈S型,挥发性脂肪酸(VFAs)呈Monod型曲线;臭气强度分析结果表明,蛋白类物料产生的臭气强度高于糖类物料。单组分垃圾产气规律和恶臭特征的研究结果为开发高效恶臭原位控制技术提供了理论基础。     

软土场地路堤-加筋碎石桩复合地基工作状态分析

软土场地碎石桩因具备桩体侧向变形大、超孔隙水压力消散慢的问题,导致出现基础沉降大、土体固结排水速度慢等工程病害。路堤下采用加筋碎石桩复合地基是处理软土场地的主流方法。本文采用二维有限元方法,建立考虑路堤填筑过程的软土场地路堤-加筋碎石桩复合地基数值模型,探讨了加筋碎石桩复合地基承载力的影响因素。基于达西定律和比奥固结理论,分析高地下水位场地条件下加筋体刚度和桩数对加筋碎石桩复合地基工作状态的影响规律。研究表明:增大褥垫层厚度和减小褥垫层模量均能够提高桩土应力比,改善桩顶应力集中的问题。与传统碎石桩相比,高地下水位条件下加筋碎石桩复合地基中超孔隙水压力消散速率快,桩数增加可以有效提高复合地基排水速率。     

考虑震后道路抢修的多目标应急调度模型∗

为保证救援物资及时、合理地配送至受灾区,将道路抢修情况纳入应急调度优化问题中,引出可变路网结构的概念,基于此情形,考虑受损路段抢修及抢修时间,对车辆运输时间进行修正;以平均车辆运输时间和系统物资未满足度最小化为目标,建立基于灾害抢修的应急调度优化模型;结合改进的最短路Dijkstra算法,设计第二代非支配排序遗传算法（NSGA?II）进行求解。最后以“九寨沟地震”作为算例,与传统模型方案进行比较,验证模型和算法的有效性,为决策者制定应急调度方案和实施提供依据和支持。     

基于SVM⁃RF的泥石流窗口坝闭塞度判别研究∗

为了研究野外泥石流防治工程中窗口坝的开口闭塞类别,基于量纲分析理论,以室内水槽试验模拟实际工程,分析模型试验与实际工程的相关物理量及对应的相似准数;引入支持向量机和随机森林分类模型,在开源机器学习工具Scikit-Learn中,采用python编程实现算法;以室内水槽试验数据作为支持向量机和随机森林的训练样本,进行机器学习得到分类模型,提出一种用于判别泥石流窗口坝闭塞类型的新方法;将测试结果与经验公式中闭塞度判别值F的分类结果进行正确率对比,结果表明,F值的分类准确率为88%,而支持向量机为92%,随机森林为94%,随机森林分类效果最好,机器学习理论为泥石流窗口坝在实践中的设计提供了新思路。     

光热电站熔盐储热罐地下通风系统的数值仿真

由于高温熔盐储热罐在运行过程中内部温度非常高,致使其底部很大范围内的土壤处于高热环境,各种热效应使得基底持力层的承载力和稳定性受到很大影响。为有效降低罐底土壤的温度,采用在罐底埋设通风系统的方法,使土壤在一定深度内,形成1个温度较低的恒温层。利用ANSYS软件对某光热电站的高温熔盐储罐的地下通风系统进行建模,对通风系统和土壤进行流固耦合传热分析,研究其散热效能及温度场分布特性,并计算出使罐底1.45 m处土壤温度降低到90 ℃以下的通风系统的工作参数,为实际工程中风机功率的选择提供参考。     

大容积无缝气瓶瓶口外螺纹修复方法及安全分析

为确定不同瓶口壁厚气瓶的外螺纹修复方式,采用数值和理论方法,通过分析外螺纹修复后气瓶的瓶体应力分布、周向转动和轴向窜动情况,对直接加工和采用热套工艺加装衬环2种瓶口外螺纹修复方式的安全性进行评价。结果表明:针对内螺纹规格为3-1/4″-8UN的气瓶,当采用直接加工方式将外螺纹修复至4-1/2″-8UN时,气瓶最大应力位于气瓶筒体上,此时气瓶可安全使用;当已修复至4-1/2″-8UN的瓶口外螺纹再次出现磨损时,直接加工的修复方式会对气瓶的安全使用造成影响,应采用热套工艺加装衬环方式修复瓶口螺纹。