一株蒽降解菌的分离鉴定及其降解特性研究

从石油污染土壤中筛选出一株蒽的高效降解菌株JUST-1,JUST-1可在以蒽为唯一碳源的培养基中生长,能利用蒽的最高浓度为70mg/L左右。经形态学观察并进行ITS序列分析,初步判断菌株JUST-1属于尖镰孢菌(Fusarium oxysporum)或该菌的一个株系。JUST-1的菌丝呈白色或粉红色,并存在三类孢子,分别为小型分生孢子(microconidia)、大型分生孢子(macroconidia)和厚垣孢子(chlamydospores),但大孢子分隔数较少,隔膜1～2个。JUST-1菌株为好氧菌。投菌量、初始蒽浓度、pH和H_2O_2浓度是影响蒽降解效率的因素。JUST-1菌株对蒽的最适宜降解条件为:蒽浓度40mg/L,投菌量10%～20%,pH7.0～8.0。在此条件下,摇床培养5d后,葸去除率可达70%以上。     

回灌运行参数对新鲜垃圾渗滤液的影响研究

采用模拟试验装置考察回灌频率与回灌水力负荷对新鲜垃圾柱渗滤液的影响,试验结果表明:高频率回灌将导致新鲜垃圾柱渗滤液初期酸化阶段的低pH值和甲烷化阶段的高pH值。高水力负荷将导致新鲜垃圾柱渗滤液pH值下降。因此在新鲜垃圾填埋单元自身回灌初期应采取低频率小水力负荷。     

基于震后低压变化的供水管网功能可靠度分析

供水管网的抗震功能是指供水管网在地震作用下能够满足震后城市特定用水需要(需水量和水压)的能力。地震发生后,供水管网一般处于低压供水状态,使得管网中部分用户的水压和水量不能得到全部满足,导致管网部分节点的实际配水量小于需水量。为此,在传统的管网水力分析基础上考虑节点流量随节点水压的动态变化,通过求解非线性水力方程组,得到管网节点实际流量和水压;同时,借鉴结构可靠度分析方法,引入供水管网系统随机水力模型,给出了震后供水管网功能可靠度分析的一次二阶矩方法。以一实际管网为例,演示了震后低压供水时管网功能可靠度分析的应用方法。     

军用集成电路质量控制方法分析与探讨

集成电路是军用电子设备最重要的器件之一,集成电路的质量直接影响到军用装备的质量。从集成电路的选择、二次筛选和破坏性物理分析(DPA)这几个方面探讨了军用集成电路的质量控制方法。实践证明通过质量控制筛选得到的集成电路整批使用可靠性都有明显的提高。     

废水中环氧丙烷降解菌株的培育及降解效果研究

本文通过对污泥的驯化筛选得到4株降解环氧丙烷废水的优势茵A、B、C、D,并对降解效果最好的一个菌株A进行研究,得到其最佳降解条件是温度为30℃、pH为5、废水浓度为20％、反应时间为9h,其COD去除率可达到63．24％左右。     

Monte Carlo analysis of field water flow comparing uni- and bimodal effective hydraulic parameters for structured soil

Soil structure critically affects the hydrological behaviour of soils. In this paper, we examined the impact of areal heterogeneity of hydraulic properties of a structured soil on soil ensemble behaviour for various soil water flow processes with different top boundary conditions (redistribution and drainage plus evaporation and infiltration). Using a numerical solution of the Richards' equation in a stochastic framework, the ensemble characteristics and flow dynamics were studied for drying and wetting processes observed during a time interval of ten days when a series of relatively intense rainfall events occurred. The effects of using unimodal and bimodal interpretative models of hydraulic properties on the ensemble hydrological behaviour of the soil were illustrated by comparing predictions to mean water contents measured over time in several sites at field scale. Although the differences between unimodal and bimodal fitting are not significant in terms of goodness of fit, the differences in process predictions are considerable with the bimodal soil simulating water content measurements much better than unimodal soil. We also investigated the relative contribution of the soil variability of each parameter on the variance of the water contents obtained as the main output of the stochastic simulations. The variability of the structural parameter, weighting the two pore space fractions in the bimodal interpretative model, has the largest contribution to water content variance. The contribution of each parameter depends only partly on the coefficient of variation, much more on the sensitivity of the model to the parameters and on the flow process being observed. We observed that the contribution of the retention parameters to uncertainty increases during drainage processes; the opposite occurs with the hydraulic conductivity parameters.     

六自由度气锤振动技术与电磁斜面振动技术比较

六自由度气锤振动与电磁斜面振动是两种模拟产品三轴振动的振动技术。由于两种振动技术的机理不同,其对样品的振动影响也会有区别。本文研究讨论两种不同振动技术的不同特点,以及对不同产品的振动效果别,我们可以根据样品特点和测试需求,选择更合适的震动技术。     

Adaptive Management of Stream Channel Maintenance at Bridge Crossings in the Northern Tier Region,Pennsylvania1

Abstract: An adaptive management framework is applied to the problem of identifying mitigation measures for sediment deposition near bridge crossings in small streams in the Northern Tier region of northern Pennsylvania. The presence of the rigid bridge infrastructure introduces a challenge for applying adaptive management practices, because the integrity of the bridge structure itself has to be maintained regardless of the mitigation practices used in the stream channel near the bridge. In an effort to overcome the unacceptable risk that field‐scale adaptive management experiments present to rigid bridge infrastructure, an adaptive management approach for laboratory‐scale experimentation of mitigation methods at bridge crossings in the Northern Tier region is presented as a way to decrease the level of uncertainty about channel response to mitigation measures and increase the rate of learning about the effectiveness of these measures. Four cycles of adaptive management experiments are discussed to demonstrate that this approach results in fast and efficient learning about channel response to mitigation methods for the given conditions. The value of monitoring and of assessment of monitored data in the overall efficiency of the adaptive management approach is highlighted. Assessment of what was learned in the adaptive management experiment cycles presented here leads to new directions to continually improve management policies and practices in stream channels at bridge crossings in the Northern Tier region. The adaptive management process, rather than continuing with a normally risk‐averse management approach, results in opportunities for learning new information about a system’s response.     

供水管网震后流量监测点的动态分级优化布局研究

为了提高管网地震监测点布局的准确性和合理性,基于管网微观水力计算模型和动态分级法,提出供水管网震后流量监测点的动态分级优化布局模型。首先,利用管网微观水力计算模型计算管段流量的影响系数,构建管段的影响系数矩阵,并利用信息熵确定管段权重;其次,标准化处理影响系数矩阵,通过聚类迭代提出供水管网地震流量监测点优化布局的动态分级方法,对供水管网震后流量监测点进行优化布置分级评定;最后,根据工程实例进行方法实践,结果表明:供水管网中的管线分类较为科学合理,地震监测点在供水管网上分布也比较均匀,而且该模型在一定程度上消除了人为因素的影响,保障了震时管网的监控效果和日常建设的合理性。     

环境有毒有害物质快速鉴别方法与应用

频发的污染事故严重影响环境质量,危害人群健康,事故的源解析和修复成为了关键问题。而传统的靶向分析方法无法胜任实际工作需求。因此,本研究建立了1)有毒有害物质清单;2)一种针对有毒有害物质的快速高效鉴别方法。将上述方法应用于某场地污染事件,成功筛查鉴定出30种环境高关注度物质,通过数据库比对进一步鉴定了6种危废物质,通过购买标准样品成功验证了4种物质。同时,还通过文献查阅与标样比对确认了另外2种有毒物质。因此,本研究建立的有毒有害物质快速筛查方法为实际环境中的污染物快速鉴别提供了一种可靠的、可行的方法。