同源地人工湖水体和底泥中有机物组成及有机结构的分析研究

采用XAD-8大孔吸附树脂对水体和底泥中的有机物进行组分分离,并通过傅里叶变换红外光谱(FTIR)、紫外-可见光谱(UV-Vis)和三维荧光光谱(3DEEMs)对自然水体和底泥中的疏水酸(腐殖酸、富里酸)、疏水碱、疏水中性物质和亲水物质进行表征和对比.结果表明,水体中有机物含量:亲水物质富里酸腐殖酸疏水碱疏水中性物质,底泥中有机物的含量为:腐殖酸富里酸亲水物质疏水碱疏水中性物质.根据红外、紫外、三维荧光光谱可知底泥中有机物的芳香程度、不饱和程度及分子量大小略高于水体有机物.根据荧光指数(FI)和自生源指标(BIX)可知,底泥和水体的腐殖酸和富里酸主要来源于陆生动植物和土壤有机质,而其余物质主要源于细菌和藻类活动.     

汶川地震中远场深覆盖土层动力反应分析

对上海余山地震台在汶川地震中测得的基岩波地震记录进行频谱特性分析,然后以同济大学教学科研综合楼场地土层为研究对象,应用水平成层土层地震反应的一维有限元方法,分析该深覆盖场地在这一实测地震记录作用下的动力反应,并将其与同济大学强震监测台在汶川地震中获得的地表波记录进行对比.结果表明:汶川地震的远场地震动记录中,基岩波的长...     

蓝藻之祸自然向人类报复的信号

我国有11万座湖泊,其中天然湖泊有2.4万座,人工湖泊有8．6万多座。然而,由于人们大量围垦和拦截地表水流,致使湖泊水面急剧缩减。随着环境污染、生态失衡,我国平均每年有20座天然湖泊消亡。自20世纪中叶以来,我国东中部地区因围垦及污染已减少天然湖泊近1000座。江苏省湖泊面积居全国之首,然而近年来面积迅速减少。其中里下河腹部地区的湖泊、     

兴仁高砷煤矿区溪流水系环境中砷自然净化的初步研究

为了解矿山环境中砷的自然净化能力及其净化机制,对兴仁典型高砷煤矿区溪流水系环境进行采样分析。结果表明,研究区水体和沉积物中砷含量从上游到下游均呈不断降低的变化趋势,水体显示较强的自净能力。上游水体中砷含量的降低主要是吸附沉淀作用,而溪流的简单稀释作用在下游也显得非常重要。     

不同粘土矿物材料对Pb2+的吸附特征

探讨了在不同矿物投加量、不同振荡时间、不同Pb2 浓度、不同矿物颗粒细度和不同pH条件下,钠基膨润土、膨胀蛭石和沸石3种粘土矿物对Pb2 的吸附效果.结果表明:对于具有可膨胀层间的粘土矿物而言,其对溶液中Pb2 的吸附量不仅仅由单一的阳离子交换量所决定;Pb2 在矿物表面的吸附过程是个迅速的过程,矿物对Pb2 的吸附在10 min内即可完成;粘土矿物不同颗粒细度对Pb2 的去除率有所不同,但考虑到实际应用中的成本问题,并非颗粒越细越好;就试验所采用的3种粘土矿物而言,其对Pb2 的吸附效果是,钠基膨润土和沸石明显优于膨胀蛭石;较高的pH有助于粘土矿物对溶液中Pb2 的吸附,但考虑到实际操作的其他因素,不能把pH调得过高.     

锚喷粉尘受力及产尘机理分析

通过对锚喷粉尘的受力分析,基于粉尘颗粒的基本性质,运用牛顿运动规律、流体力学的紊流射流、两相流等相关理论,对锚喷产尘原因及运动规律研究,认为锚喷尘源产生的4种方式: 粉尘颗粒自身的特性及二次风流的影响,高速喷射气流带动周围的空气运动所产生的剪切作用,锚喷高速射流内部中团粒间的相互作用以及物料与受喷面的碰撞是影响锚喷产生粉尘的主要原因.     

不同条件下高炉渣吸附水中无机磷的研究

高炉渣(BFS)是在冶炼生铁过程中产生的固体废弃物,开展高炉渣的资源化研究具有重要意义.为了对水淬高炉渣净化含磷污水的应用提供理论依据,采取等温吸附的实验方法,比较了不同水淬炉渣的吸附磷效果,研究了不同pH和不同温度下水淬炉渣吸附磷的特点,结果如下:利用Langmuir等温吸附方程炉渣吸附磷的过程进行拟合,其相关系数均能达到显著水平.炉渣的碱度越高,吸附磷的效果越好;炉渣对磷的吸附能力随溶液pH的增加而降低,且初始为酸性(pH=2、4)的溶液在吸附达到平衡后pH有所上升,而初始为碱性的溶液(pH=10、12)在吸附达到平衡后pH有所下降;炉渣对磷的吸附是一个自发放热过程.     

电除尘器气流分布试验研究和数值计算

结合660 WM机组电除尘器的设计要求,对电除尘器内气流流动进行了数值模拟与试验研究.计算中选择SIMPLE方法求解三维雷诺平均方程和κ-ε两方程湍流模型.研究结果表明,无论电除尘器两室流量分配还是第一电场进口断面气流分布,计算结果与试验吻合较好,数值计算结果可以指导电除尘器设计与模型试验研究.     

Survey of heavy metal pollution and assessment of agricultural soil in Yangzhong district, Jiangsu Province, China

We investigated concentrations of Hg, Cd, Pb, Zn, Cu, As, Ni, and Cr in samples of soil, cereal, and vegetables from Yangzhong district, China. Compared to subsoils, the sampled topsoils are enriched in Hg, Cd, Cu, Pb, Zn, and As. High levels of Cd and Hg are observed in most agricultural soils. Concentrations of Cr and Ni show little spatial variation, and high Cu, Pb, and Zn contents correspond well to areas of urban development. High As contents are primarily recorded at the two ends of the sampled alluvion. The contents of Cd, Hg, and total organic carbon (TOC) increase gradually to maximum values in the upper parts of soil profiles, while Cr and Ni occur in low concentrations within sampled profiles. As, Pb, Cu, and Zn show patterns of slight enrichment within the surface layer. Compared to data obtained in 1990, Cd and Hg show increased concentrations in 2005; this is attributed to the long-term use of agrochemicals. Cr and Ni contents remained steady over this interval because they are derived from the weathering of parent material and subsequent pedogenesis. The measured As, Cu, Pb, and Zn contents show slight increases over time due to atmospheric deposition of material sourced from urban anthropogenic activity. Low concentrations of heavy metals are recorded in vegetables and cereals because the subalkaline environment of the soil limits their mobility. Although the heavy metal concentrations measured in this study do not pose a serious health risk, they do affect the quality of agricultural products.     

Generalized models for prediction of pentachlorophenol dissipation dynamics in soils

Dissipation of pentachlorophenol (PCP) in soil was investigated and the chemical relationships with soil properties were addressed. The results indicate that the dissipation of extractable PCP residues can be described using first-order kinetics equations, with a half-dissipation time (T(1/2)) ranging from 6.5 to 173.3d. The sharply different patterns of PCP dissipation in different soils were closely related to soil properties. Correlations of stepwise regression equations obtained were significant at 0.01 probability level between soil parameters and extractable PCP residues (R(2)=0.974**) as well as T(1/2) values (R(2)=0.882**). Using pH together with organic carbon content (OC) and soil particle size distribution, the dissipation dynamics of PCP in soil could be accurately predicted.