Multiple batch extraction test to estimate contaminant release parameters using a Bayesian approach

Industrial activities produce vast amounts of weakly contaminated materials which are commonly reused as filling materials on natural ground. There is a strong demand to define guidelines for the application of these materials, to estimate the leaching potential of contaminants from the materials, and to assess the potential hazard for groundwater pollution. We present a multiple batch experiment, where measurements of liquid-phase concentrations at varying liquid/solid ratios are used to estimate the total mass of contaminant that can be extracted from a contaminated material with a mild extractant like water. Furthermore, the experiment yields estimates of the isotherm describing the partitioning of the contaminant between the solid and liquid phases, and a concentration that might be expected under soil hydraulic conditions representative for the field situation. Model parameters are estimated from liquid-phase concentrations within a Bayesian framework by applying the Shuffled Complex Evolution Metropolis Algorithm (SCEM-UA), an efficient Markov Chain Monte Carlo sampler. A sensitivity analysis and inversions of synthetically generated data corrupted with noise show the general suitability of the proposed method. An uncertainty analysis for model parameters and model predictions shows the expected accuracy of the estimates. An application to concentration measurements obtained from a multiple batch extraction test illustrates the applicability of the approach for a real situation.     

The effect of a biofilm on solute diffusion in fractured porous media

At sites in fractured rock where contamination has been exposed to the rock matrix for extended periods of time, the amount of contaminant mass residing in the matrix can be considerable. Even though it may be possible to diminish concentrations by the advection of clean water through the fracture features, back diffusion from mass held in the matrix will lead to a continuing source of contamination. In such an event, the development of a biofilm (a thin film of microbial mass) on the wall of the fractures may act to limit or prevent the back diffusion process. The objective of this preliminary study is to explore the influence imparted by the presence of a biofilm on the process of matrix diffusion. The investigation was conducted using radial diffusion cells constructed from rock core in which biofilm growth was stimulated in a central reservoir. Once biofilms were developed, forward diffusion experiments were conducted in which a conservative solute migrated from the central reservoir into the intact rock sample. Diffusion experiments were performed in a total of 11 diffusion cell pairs where biofilm growth was stimulated in one member of the pair and inhibited in the other. The effect of the presence of a biofilm on tracer diffusion was determined by comparison of the diffusion curves produced by each cell pair. A semi-analytical model that accounts for the presence of a biofilm was used to investigate the effect of the biofilm on mass transfer due to changes in the effective porosity, effective diffusion coefficient, and the depth of penetration of the biofilm into the intact rock. The results show that the biofilm acted to plug the rock matrix, rather than forming a discrete layer on the reservoir surface. The reduction in effective porosity due to the biofilm ranged from 6% to 52% with the majority of the samples in the 30% to 50% range. Based on the present results, with more efficient biofilm stimulation, it is reasonable to assume that a more complete plugging of the microcrack porosity might be possible, leaving a much thicker and efficient barrier than could be achieved via a surface biofilm.     

Multi-component reactive transport modeling of natural attenuation of an acid groundwater plume at a uranium mill tailings site

Natural attenuation of an acidic plume in the aquifer underneath a uranium mill tailings pond in Wyoming, USA was simulated using the multi-component reactive transport code PHREEQC. A one-dimensional model was constructed for the site and the model included advective-dispersive transport, aqueous speciation of 11 components, and precipitation-dissolution of six minerals. Transport simulation was performed for a reclamation scenario in which the source of acidic seepage will be terminated after 5 years and the plume will then be flushed by uncontaminated upgradient groundwater. Simulations show that successive pH buffer reactions with calcite, Al(OH)3(a), and Fe(OH)3(a) create distinct geochemical zones and most reactions occur at the boundaries of geochemical zones. The complex interplay of physical transport processes and chemical reactions produce multiple concentration waves. For SO4(2-) transport, the concentration waves are related to advection-dispersion, and gypsum precipitation and dissolution. Wave speeds from numerical simulations compare well to an analytical solution for wave propagation.     

硝酸钙投加频次对污泥生物调理效果的影响

在接种了反硝化菌的剩余污泥中投加硝酸钙药剂,利用反硝化菌消耗NO₃^-进行反硝化作用去除污泥中易生物降解的有机物,利用Ca²⁺的中和、架桥作用,改善污泥的脱水性能.固定NO₃^-总投加浓度为100 mg·g^-1 TS,在6 d的时间内,按1次、2次、3次、6次的投加频次向污泥中投加硝酸钙.结果表明,1次投加对污泥脱水性能的提升最显著,较对照组而言,污泥CST降低了65.0%,SRF降低了73.2%,污泥脱水性能明显改善;投加硝酸钙后,污泥胞外聚合物中蛋白质含量大幅降低,S层、L层蛋白质分别从13.47 mg·L^-1、11.66 mg·L^-1降低至0.52 mg·L^-1、1.43 mg·L^-1;投加硝酸钙的污泥Zeta电位更趋于电中性.研究还发现,一次性投加硝酸钙产生了更多NO₂^-,有利于污泥结合水,即微生物细胞质的释放.释放出的有机碳被反硝化菌用作碳源,又增强了反硝化效果,从而促进了污泥EPS的破坏与降解,从而改善了污泥的脱水性能.     

CaO2投加量及投加方式对剩余污泥厌氧发酵产生短链脂肪酸的影响

以污水处理厂剩余活性污泥作为研究对象,在中温条件下,按照不同投加量和投加方式投加过氧化钙（CaO₂）进行预处理,考察其对污泥发酵产酸和产甲烷的影响,以期确定CaO₂最佳投加量和投加方式.结果表明,在（35±1）℃条件下,投加CaO₂可提高剩余污泥发酵液pH值,从而促进有机物的快速溶出.在同样投加剂量条件下,一次性投加比多次投加更有利于污泥的溶解以及短链脂肪酸的积累.当一次性投加0.2g CaO₂/g VSS时,发酵液中乙酸浓度在第7d达到最高值（169mg COD/g VSS）,同时乙酸在6种主要酸中所占比例达到最大（71.0%）.与一次性投加方式相比较,多次投加CaO₂对产甲烷的抑制作用较小,不利于SCFAs的积累.     

工业废水污染物排放总量削减措施

就目前工业废水排放现状 ,从加强在线监测系统监控作用、有效地控制非正常状态下排污以及深化污染源废水管理工作等几个方面提出了工业废水污染物排放总量削减措施     

改进BFO优化BPNN的自来水混凝加药预测

本文给出一种量子粒子群（QPSO）算法、改进菌群觅食（IBFO）算法优化反向传播神经网络（BPNN）的混凝投药预测模型,利用量子粒子群的个体极值与群体极值更新细菌觅食算法趋化过程中细菌位置;通过细菌协同改进趋化算子提高优化精度,结合差分算法改进繁殖算子解决部分维度退化问题,加入轮盘赌方法作为选择机制改进迁移算子来克服优化过程中优秀解消失的缺陷;进而优化BP神经网络的权值、阈值以此预测混凝剂投药量.对云南某自来水厂的数据进行离线训练和模型测试,结果表明,所提算法预测结果的均方误差（MSE）达0.0116mg/L,平均绝对误差百分比（MAPE）达1.36%,在预测精度和稳定性上优于BFO-BPNN、PSO-BPNN等模型.     

转基因植物修复有机污染物的进展

生物修复技术主要利用某些植物特有的分解有毒有害物质的能力,去除环境中的污染物,从而达到净化环境的目的。利用转基因技术把微生物或真核生物中能有效降解有机污染物的基因导入植物中去,将会进一步提高生物修复的实际应用价值。本文主要综述了近年来转基因植物用于修复有机污染物的进展情况。     

基质投加方式对污泥碱性发酵性能的影响

为了研究低温条件(15±2)℃下投加方式对剩余污泥碱性发酵的影响,将剩余污泥分别在NaOH、KOH、Ca(OH)2和混合碱(Ca(OH)2和KOH) 4种碱性(pH=10±0.2)系统中进行发酵,并在系统稳定后依次改变污泥投加方式(1次投加污泥、平均2次投加和平均3次投加),分别对发酵体系的剩余污泥溶液化、溶解性蛋白质、溶解性多糖、挥发性脂肪酸(SCFAs)和关键酶(水解酶和辅酶420(F420))进行研究.研究发现,4种碱性发酵体系中,不同投加方式对剩余污泥的水解和酸化性能具有显著的影响,其中SCOD随着污泥投加次数的增加略有减小,但是发酵液中可溶性的蛋白质和多糖有增加趋势.水解酶活性随着污泥投加次数的增加而降低,但是在NaOH和KOH发酵体系中,辅酶420随着投加次数的增加而增大,混合碱发酵体系中其活性基本不变,而在Ca(OH)2发酵体系中其活性则降低.NaOH、KOH和混合碱发酵体系产酸能力随投加次数的增加而下降,但是Ca(OH)2 发酵体系酸化能力则先增大后少量降低,由此发现,Ca(OH)2发酵体系水解及产酸能力较为稳定,同时该体系中乙酸/SCFAs最大,高于其他发酵体系的10%左右.     

河岸材料对河流有机污染物降解能力的影响

研究了干砌石、浆砌石、蜂巢格宾和生态砖等河岸材料对河流有机污染物降解能力的影响.4种材料中,以生态砖为河岸的河流中总有机碳(TOC)沿程降解率分别是蜂巢格宾和浆砌石的6.14和3.15倍(p<0.05);生态砖、干砌石和蜂巢格宾河段中溶解性有机碳(DOC)沿程降解率分别是浆砌石的10.68、6.60和6.08倍(p<0...