基于SWAT模型的三峡库区香溪河非点源氮磷负荷模拟

三峡水库蓄水后,水动力条件改变下营养盐的过量输入导致部分支流库湾水华现象及水体富营养化问题严重.本文以香溪河为研究示范区,基于GIS平台建立流域下垫面空间数据库,以氮磷为研究对象,应用SWAT模型对流域三大主要水系及涉及35个子流域进行2000-2009年径流、营养盐输出模拟研究,并对实测数据和模拟结果进行分析,结果表明:径流模拟结果校验阶段的效率系数0.65和0.86,确定系数是0.78和0.91,模拟效果较好,径流和营养盐负荷受降雨影响呈正相关关系,在丰水年和丰水季节较大,2000-2009年期间TN和TP年均负荷分别是2640.64和300.01 t,在2007年达到最大值,分别是3475.96和399.20 t,在2005年为最小值,分别是2036.72和226.44 t,TN和TP负荷的贡献率高岚水系＞古夫水系＞南阳水系,支流TN和TP输出强度空间差异较大,空间分布差异系数分别是0.34和0.58,TN最大值和最小值是29.39 kg·hm-2·a-1和3.86 kg·hm-2·a-1,TP最大值和最小值分别是4.90 kg·hm-2·a-1和0.54 kg·hm-2·a-1.     

不同玉米品种对新鲜城市污泥处理效果的初步研究

寻求城市污泥安全农用的方法是当前城市污泥处理处置的重要研究课题之一.采用小区试验,研究了8个玉米品种对新鲜城市污泥处理效果.结果表明:所选择的8个玉米品种均可以在污泥上生长,大丰5品种对锌的累积量最低,04杂1品种对镉累积量最低,会单4品种对铜和铅累积量最低;玉米种植可显著降低城市污泥中的含水率,比不种玉米的对照处理(69.43%)水分去除率提高9.05%~17.50%,有利于城市污泥的干化及后续利用;各玉米品种植株中的总养分(氮+五氧化二磷+氧化钾)均高于有机肥标准(NY525—2012)的总养分要求,而重金属镉和铅的质量浓度除赛田3品种外其他品种均低于农用有机肥标准(NY525—2012)的限量值;玉米种植后城市污泥中的总养分和锌、镉、铜、铅4种重金属质量浓度变化很小.可见,利用玉米处理新鲜的城市污泥既可降低城市污泥中的水分,又可以产生一定量优质的有机肥原料,为城市污泥的资源化利用提供新思路.     

放射性废水的膜处理技术研究进展

核燃料的生产、核电厂的运行、同位素的生产和使用等过程都会产生着大量的放射性废水,为了保护环境和人类健康,这些废水必须经过安全、经济和有效的处理处置.放射性废水传统的处理方法主要包括过滤法、离子交换法、蒸发法或这几种工艺的组合.近年来,膜分离技术在放射性废水处理中得到了广泛的研究,发达国家已有应用膜分离技术处理放射性废水的实例,而我国规模化应用的实例还很少见.本文首先介绍了放射性废水的来源及组成,分析了各种放射性废水处理方法的优势和不足,包括化学沉淀法、过滤法、离子交换法、蒸发浓缩法、吸附法、生物还原/吸附法和膜分离法等.在此基础上,重点介绍了各种膜分离技术,包括微滤、超滤、纳滤、反渗透、膜蒸馏等在放射性废水处理中研究与应用现状,对已有的文献资料进行了较系统全面的分析、归纳和总结,对各种方法的优缺点及适用范围进行了比较,对膜技术在放射性废水处理中的应用前景及问题进行了讨论.最后,简要介绍了放射性废水处理产生的浓缩产物的最终处理处置,对放射性废水处理技术未来的研究和发展方向给出了建议.     

链霉菌FX645对偶氮染料红AR30的降解机制研究

从印染厂污泥中筛选到1株对偶氮染料红30(AR30)具有较强脱色降解作用的菌株Streptomyces sp.FX645.通过降解产物的紫外-可见吸收光谱、LC-MS分析及各降解产物在发酵体系中浓度随时间变化的规律,探讨了菌株FX645对AR30的可能降解途径,首先在偶氮还原酶的作用下AR30发生偶氮键的裂解,生成4-硝基-2,6-二氯苯胺与2-[(4-胺苯基)-(2-氰乙基)-氨基]乙酸乙酯,然后分别发生硝基还原、氨基酰化、氰基水解作用,生成一系列的苯胺类化合物.     

生活垃圾填埋过程含水率变化研究

为分析垃圾在好氧和厌氧条件下降解过程中含水率变化的规律,采用时域反射测量(time domain reflectometry,TDR)技术监测了垃圾填埋过程中含水率的变化情况.结果表明,填埋过程中垃圾体积含水率随时间逐渐增大,垃圾持水性能不断提高.好氧初期垃圾内水量变化与含水率变化正相关,好氧后期则为负相关;厌氧填埋过程中,垃圾沉降压缩是含水率变化的主要原因.垃圾TDR读数与基于物质衡算的垃圾体积含水率计算值之间有较好的相关性,好氧填埋过程两者最大偏差约为±5%,厌氧填埋过程两者最大偏差约为±2%,TDR技术适用于实际填埋工程的含水率测量.     

饮用水水源地严格管理水质的对策分析——对实行严格水资源管理问题上的看法和建议

2012年1月国务院发布了《关于实行最严格水资源管理制度的意见》,这是众所关注的要事,实行了最严格水资源管理的原则精神以及确定县级以上政府负总责的规定.但对如何严格管理的技术路线和对策措施上,特针对现实中存在的主要问题提出以下3点看法和建议:①达到地面水环境质量Ⅱ类水质的饮用水水源地不一定未受污染;②保护区内企业车间排水口符合第一类污染物最高允许排放浓度规定是满足饮用水水源地要求的必要条件;③《地面水环境质量标准》(GB 3838-2002)对第一类污染物规定的Ⅱ类水质,是否体现了水环境背景值有较大存疑.     

新安江流域土地利用结构对水质的影响

以新安江上游流域为研究区域,用该流域2010年5月TM遥感影像图作为底图,通过实地野外调查获取了新安江流域的土地利用图.运用ArcGIS的水文、空间分析功能,将流域划分为8个子流域,并分析各子流域的土地利用结构.根据2010年1～12月的水质监测数据,分析TN、TP、高锰酸盐指数、NH4+-N、粪大肠菌群的时空变化特征,以及与土地利用结构之间的定量关系.结果表明,TN和NH4+-N有明显的时间变化特征,为枯时期>丰水期>平水期,而其他几种指标没有明显的时间变化.在空间上,整体上呈现出渔梁、浦口污染最为严重.流域内土地利用结构与水质之间的相关关系表现为:耕地、水体、建筑用地起源作用,林地、草地起汇作用.在年度上看,耕地对TN、NH4+-N、高锰酸盐指数影响最大,草地对TP影响最大;不同水期上,枯水期和丰水期,对各指标影响最大的土地利用类型为耕地,在平水期,对TN、TP、粪大肠菌群影响最大的土地利用类型分别为耕地、草地、林地.     

Application of comprehensive two-dimensional gas chromatography with mass spectrometric detection for the analysis of selected drug residues in wastewater and surface water

Pharmaceutical residues have become tightly controlled environmental contaminants in recent years, due to their increasing concentration in environmental components. This is mainly caused by their high level of production and everyday consumption. Therefore there is a need to apply new and sufficiently sensitive analytical methods, which can detect the presence of these contaminants even in very low concentrations. This study is focused on the application of a reliable analytical method for the analysis of 10 selected drug residues, mainly from the group of non-steroidal anti-inflammatory drugs (salicylic acid, acetylsalicylic acid, clofibric acid, ibuprofen, acetaminophen, caffeine, naproxen, mefenamic acid, ketoprofen, and dicofenac), in wastewaters and surface waters. This analytical method is based on solid phase extraction, derivatization by N-methyl-N-(trimethylsilyl)trifluoroacetamide (MSTFA) and finally analysis by comprehensive two-dimensional gas chromatography with Time-of-Flight mass spectrometric detection (GC×GC- TOF MS). Detection limits ranged from 0.18 to 5 ng/L depending on the compound and selected matrix. The method was successfully applied for detection of the presence of selected pharmaceuticals in the Svratka River and in wastewater from the wastewater treatment plant in Brno-Modrice, Czech Republic. The concentration of pharmaceuticals varied from one to several hundreds of ng/L in surface water and from one to several tens of μg/L in wastewater.     

Differences in rheological and fractal properties of conditioned and raw sewage sludge

Rheological tests for raw and conditioned activated sludge(AS) or anaerobic digested sludge(ADS) show that power-law relationships can be used to describe the evolution of several rheological parameters,i.e.,limiting viscosity(η∞),yield stress(τy),cohesion energy of the sludge network(Ec),and storage modulus(G’),with total suspended solid(TSS) content in raw and conditioned sludge.A gel-like structure that behaves similar to weak-link flocs/aggregates was observed in AS and ADS.As derived from the double-logarithmic plots of G’-TSS content,the mass fractal dimensions of the raw and conditioned AS or ADS flocs/aggregates were 2.70 and 2.53 or 2.85 and 2.79,respectively.The rheological tests also indicate that both polymer conditioning and increased TSS content led to improved elastic behavior,cohesion energy,and yield stress of the sludge network,as well as expanded the corresponding linear viscoelastic range.The porosity of AS or ADS flocs/aggregates will be improved by polymer conditioning.     

Quantitative analysis of microbial biomass yield in aerobic bioreactor

We have studied the integrated model of reaction rate equations with thermal energy balance in aerobic bioreactor for food waste decomposition and showed that the integrated model has the capability both of monitoring microbial activity in real time and of analyzing biodegradation kinetics and thermal-hydrodynamic properties. On the other hand, concerning microbial metabolism, it was known that balancing catabolic reactions with anabolic reactions in terms of energy and electron flow provides stoichiometric metabolic reactions and enables the estimation of microbial biomass yield (stoichiometric reaction model). We have studied a method for estimating real-time microbial biomass yield in the bioreactor during food waste decomposition by combining the integrated model with the stoichiometric reaction model. As a result, it was found that the time course of microbial biomass yield in the bioreactor during decomposition can be evaluated using the operational data of the bioreactor (weight of input food waste and bed temperature) by the combined model. The combined model can be applied to manage a food waste decomposition not only for controlling system operation to keep microbial activity stable, but also for producing value–added products such as compost on optimum condition.