A new tracer technique for monitoring groundwater fluxes: the Finite Volume Point Dilution Method

Quantification of pollutant mass fluxes is essential for assessing the impact of contaminated sites on their surrounding environment, particularly on adjacent surface water bodies. In this context, it is essential to quantify but also to be able to monitor the variations with time of Darcy fluxes in relation with changes in hydrogeological conditions and groundwater - surface water interactions. A new tracer technique is proposed that generalizes the single-well point dilution method to the case of finite volumes of tracer fluid and water flush. It is called the Finite Volume Point Dilution Method (FVPDM). It is based on an analytical solution derived from a mathematical model proposed recently to accurately model tracer injection into a well. Using a non-dimensional formulation of the analytical solution, a sensitivity analysis is performed on the concentration evolution in the injection well, according to tracer injection conditions and well-aquifer interactions. Based on this analysis, optimised field techniques and interpretation methods are proposed. The new tracer technique is easier to implement in the field than the classical point dilution method while it further allows monitoring temporal changes of the magnitude of estimated Darcy fluxes, which is not the case for the former technique. The new technique was applied to two experimental sites with contrasting objectives, geological and hydrogeological conditions, and field equipment facilities. In both cases, field tracer concentrations monitored in the injection wells were used to fit the calculated modelled concentrations by adjusting the apparent Darcy flux crossing the well screens. Modelling results are very satisfactory and indicate that the methodology is efficient and accurate, with a wide range of potential applications in different environments and experimental conditions, including the monitoring with time of changes in Darcy fluxes.     

焦亚硫酸钠对大鼠背根节神经元钾电流的影响

应用全细胞膜片钳技术,研究SO2体内衍生物和食品添加剂———焦亚硫酸钠(sodiummetabisulfite,SMB)对大鼠背根节(DRG)神经元瞬间外向钾电流(TOCs)和延迟整流钾电流(IK)的影响.结果表明,SMB可增大TOCs和IK,且具剂量依赖性和电压依赖性.10μmolL-1的SMB不影响TOCs的激活过程,给药前后TOCs的半数激活电压为(3.15±2.29)mV和(4.72±1.92)mV(N=8,P>0.05),不改变其斜率;但10μmolL-1的SMB却非常显著地影响TOCs的失活过程,给药前后其半数失活电压分别为(-53.6±0.45)mV和(-38.85±0.68)mV(N=8,P<0.01),也不改变其斜率.10μmolL-1的SMB显著提前IK的激活过程,给药前后IK的半数激活电压为(-11.98±3.50)mV和(-33.21±5.67)mV(N=8,P<0.01),不改变其斜率.SMB显著增大TOCs和IK,使IK的激活过程提前,抑制TOCs的失活过程,从而导致细胞内K 通过K 通道外流增加,进而可能对DRG神经元功能产生不利影响.图6参16     

汽车排气污染问题的探讨

本文主要研究了汽车排气对城市造成的污染危害，在对本市汽车保有量发展趋势现状调查的基础上，探讨了汽车排气污染问题的主要污染源和主要污染成分，以及汽车污染控制各个阶段的控制技术     

亚铵法制浆造纸厂中段废水处理技术分析研究

通过对采用两级气浮做预处理 ,生物硫化床串联接触氧化做深度处理的治理技术的分析研究 ,结合废水处理工程实例 ,说明了用两级串联气浮 +硫化床 +接触氧化工艺处理造纸中段水技术切实可靠 ,该治理工艺对处理亚铵法麦草制浆造纸中段废水有较强的针对性和可行性。     

环境空气中VOC s 的监测技术新进展

大气中的挥发性有机物(VOCs)严重威胁着人类的健康,目前对它的监测技术的研究越来越多.文章综述了近年来国内外在VOCs的采样及测试技术上的进展,重点介绍了固相微萃取、罐取样、吸附法等采样技术以及以气相色谱法为主的分析方法,并对一些非色谱法的分析技术进行了简单介绍.     

环境中苯并(a)芘监测技术及建议

环境中BaP是引起人们各类癌症的主要诱发物.叙述了环境中BaP的来源及其浓度状况,列举了国家制定的各项标准中的BaP含量的浓度限值,论述了环境水中和空气中BaP的样品采集、保存、前处理、分析测定及定量监测中应注意的几个问题,提出了监测BaP的4点建议.     

浅谈氨氮废水处理技术

介绍了氨氮废水的来源和危害,以及主要的氨氮废水处理技术。     

海洋环境立体监测技术

为了保护和合理利用海洋,必须对海洋环境进行长期连续、多要素、多维空间的立体监控。海洋环境立体监测系统技术摒弃了传统将水样带回实验室预处理、存放再进行后期分析的低效方法,极大地提高了数据的采集效率,减轻了海洋监测工作者的劳动强度,节省了人力、物力和财力。本文介绍了海洋环境立体监测技术中的系统集成及数据分析平台等。     

Ecological scenarios analyzed and evaluated by a shallow lake model

We applied the complex ecosystem model EMMO, which was adopted to the shallow lake Müggelsee (Germany), in order to evaluate a large set of ecological scenarios. By means of EMMO, 33 scenarios and 17 indicators were defined to characterize their effects on the lake ecosystem. The indicators were based on model outputs of EMMO and can be separated into biological indicators, such as chlorophyll-a and cyanobacteria, and hydro-chemical indicators, such as phosphorus. The question to be solved was, what is the ranking of the scenarios based on their characterization by these 17 indicators? And how can we handle high quantities of complex data within evaluation procedures? The scenario evaluation was performed by partial order theory which, however, did not provide a clear result. By subsequently applying the hierarchical cluster analysis (complete linkage) it was possible to reduce the data matrix to indicator and scenario representatives. Even though this step implies losses of information, it simplifies the application of partial order theory and the post processing by METEOR. METEOR is derived from partial order theory and allows the stepwise aggregation of indicators, which subsequently leads to a distinct and clear decision. In the final evaluation result the best scenario was the one which defines a minimum nutrient input and no phosphorus release from the sediment while the worst scenario is characterized by a maximum nutrient input and extensive phosphorus release from the sediment. The reasonable and comprehensive results show that the combination of partial order, cluster analysis and METEOR can handle big amounts of data in a very clear and transparent way, and therefore is ideal in the context of complex ecosystem models, like that we applied.     

生态校园建设现状分析

生态校园建设的类型主要有:景观园林设计型、生态技术型、教育管理型.通过在校园内建立生态环境体系,使校园内有限的资源得到循环、合理、科学的使用,提高学校生态环境质量.