稀释倍数影响BOD测定结果机理的探讨

本文探讨了稀释倍数影响BOD测定结果的生化机理.研究结果表明,稀释倍数不同所引起的BOD测定值不同的原因在于培养体系内食料微生物比F/M值的不同.在相同接种条件下,稀释倍数愈大,BOD测定值和耗氧速率常数K值也愈大,而其BOD_u值基本不变.对标准葡萄糖-谷氨酸溶液来说,不同F/M值的两个培养体系的活菌总数峰值均在两日内出现,且F/M值大的其峰值相对滞后出现;细菌种群在内源呼吸期之前的耗氧速率较大,内源呼吸期的耗氧速率较小.     

生物整治技术进展

综述了对于污染位点的难降解污染物和生物外源性污染物进行降解的原理与技术进展,生物整治的基本原理是对于具体的污染位点,应根据有利于污染物毒性降低和生物可利用性增加以微生物活性增加３个原则选择适当的治理措施,文中述及的原位和非原位生物整治技术包括：添加营养,接种外源降解菌,生物通气,土地处理,堆肥式处理,生物堆层和泥浆技术,还讨论了收集场地信息和评价治理效果的方法。     

高温/中温两相厌氧消化反应中有机酸的变化

为了深入考察高温／中温两相厌氧消化的反应器系统用以处理混合基质时有机酸的变化特性,采用蒸馏－滴 测定挥发有机酸总量,并在系统达到相对稳定时用色质联机确定有机酸的组成及各自含量。研究结果表明,混合基质经高温消化后挥发有机酸含量有所增加,平均在３４６－５５２９ｍｌ／Ｌ,进一步经中国消化且系统达到稳定后其含量平均为４３－４３３ｍｇ／Ｌ,乙酸,丙酸,丁酸和戊酸是进料混合基质和高温消化后基质中主要有机酸种类     

微生物降解硝基芳香烃及其在环境保护中的应用

综述降解硝基芳烃的微生物类群,代谢途径,遗传操作及其在环境保护中的应用等方面的研究概况。     

SELECTION AND SUSTAINABILITY OF LAND AND WATER RESOURCE MANAGEMENT SYSTEMS1

ABSTRACT: Most spatial decision support systems for natural resource planning and management are limited by their scenario-based (non-behavioral), deterministic (non-stochastic) structure. A spatial decision support system is developed that uses a multiple attribute decision-making model to explain how a property manager selects a land and water resource management system (LWRMS) based on its multiple, stochastic economic and environmental attributes. The decision support system assesses sustainable resource management at the property and watershed scales and identifies the most cost-effective policy for enhancing sustainable resource management. Economic attributes are determined with an economic model and environmental attributes are simulated with an environmental model. Input parameters for both models are generated with a geographic information system. The decision support system is used to rank five LWRMS for a sample of 20 farmers in Missouri's Goodwater Creek watershed and for two hypothetical watershed alliance groups. Results indicate that the average farmer and the two alliance groups would rank the five LWRMS in the same manner. From the viewpoint of the watershed alliance, the most preferred LWRMS for the average farmer in the watershed is sustainable.     

高浓度油脂废水的微生物净化处理技术浅析

在简要介绍目前含有高浓度油脂废水的产生和排放现状之后,总结分析了最近几年来一些具有一定代表性的生物处理方法的研究成果,同时提出了今后油脂废水处理技术的一点建议。     

Dissimilatory reduction of FeIII (EDTA) with microorganisms in the system of nitric oxide removal from the flue gas by metal chelate absorption

In the system of nitric oxide removal from the flue gas by metal chelate absorption, it is an obstacle that ferrous absorbents are easily oxidized by oxygen in the flue gas to ferric counterparts, which are not capable of binding NO. By adding iron metal or electrochemical method, Fe^Ⅲ (EDTA) can be reduced to Fe^Ⅱ(EDTA).However, there are various drawbacks associated with these techniques. The dissimilatory reduction of Fe^Ⅲ(EDTA) with microorganisms in the system of nitric oxide removal by metal chelate absorption was investigated. Ammonium salt instead of nitrate was used as the nitrogen source, as nitrates inhibited the reduction of Fe^Ⅲ due to the competition between the two electron acceptors. Supplemental glucose and lactate stimulated the formation of Fe^Ⅱ more than ethanol as the carbon sources. The microorganisms cultured at 50~C were not very sensitive to the other experimental temperature, the reduction percentage of Fe^Ⅲ varied little with the temperature range of 30-50℃.Concentrated Na2 CO3 solution was added to adjust the solution pH to an optimal pH range of 6-7. The overall results revealed that the dissimilatory ferric reducing microorganisms present in the mix-culture are probably neutrophilic, moderately thermophiUc Fe^Ⅲ reducers.     

中国技术灾害的时序变化与区域差异

近年来,由于生产的全球化、工业水平的迅速提高、技术系统的复杂化和规模化,以及社会结构急剧变化,我国技术灾害的发生频次增多,强度加剧,经济损失趋于上升.技术灾害继自然灾害之后,已逐渐发展为威胁我国人民生命安全和生存环境的主要灾种.基于技术灾害数据库,从致灾因子多度、风险频数、相对损失强度和综合风险指数等4个方面对中国技术灾害的时序变化和区域差异进行了分析与探讨,以期加深对中国技术灾害的系统认识,并为中国技术灾害的风险管理提供依据.     

人工神经网络在矿井多水源识别中的应用

以焦作矿区水化数据为例,选用Na++K+、Ca2+、Mg2+、Cl-、SO2-4、HCO-36种水化离子浓度作为识别矿井水源的依据,运用Matlab软件分别建立BP神经网络与Elman神经网络的矿井多水源识别模型。应用结果表明:与静态的BP神经网络相比,在结构上增加承接层的Elman神经网络在训练和仿真中拟合能力更强,识别精度更高和泛化能力更好;矿井地下水随着地下开采与扰动具有动态性,将具有非线性动态特征的Elman神经网络应用于矿井多水源的识别,对准确判断突水来源和分析地下水运移规律具有一定的辅助和指导意义。     

水泥灰三相泡沫的形成机理与稳定性试验研究

针对高硫矿石容易发生氧化自燃的危险,通常的灌浆、注砂、注惰气和喷洒阻化剂等技术还存在一些不足,提出一种以水泥灰为基料的三相泡沫来预防硫化矿石自燃的新技术。该技术是将水泥灰和水按一定的比例混合,同时加入一定比例的发泡剂和稳泡剂后,经物理机械方式发泡形成,集固、液、气三相材料的防灭火性能与一体。理论分析了水泥灰三相泡沫的形成与衰变机理,并通过正交试验,对三相泡沫的发泡倍数与半衰期进行研究,最后采用单因素实验,定量分析灰水质量比,发泡剂和稳泡剂浓度对三相泡沫稳定性能的影响,得到最佳泡沫配方。结果表明:当灰水质量比为1:5,发泡剂浓度为5g/L,稳泡剂浓度为8g/L时,制得的三相泡沫发泡倍数达到6倍,半衰期达到6h以上。