溢油胁迫下孔石莼碳氮稳定同位素的变化

为了研究溢油对海岸潮间带重要的大型绿藻孔石莼（Ulva Pertusa）的影响,本文探究了在180#燃料油的原油分散液（WAF）胁迫下,孔石莼的生长速率、叶绿素a以及碳氮稳定同位素的变化。在低WAF浓度（1.43 mg/L、2.87 mg/L和4.30 mg/L）胁迫下,对孔石莼的生长具有促进作用,生长速率均高于对照组,同时叶绿素a和碳氮稳定同位素均呈现上升的趋势;而高浓度WAF（5.72 mg/L和7.17 mg/L）会抑制藻类生长,导致生长速率低于对照组,而叶绿素a含量却高于对照组,孔石莼的δ15N和δ13C相比对照组偏负。对于孔石莼来说,C、N稳定同位素变化的趋势比叶绿素a更明显,这表明在溢油胁迫下,孔石莼的C、N稳定同位素能够更好更快速地评价溢油胁迫毒性大小,因此可以作为海洋环境监测和评价的一种新手段。     

基于在线监测的江河入海径流通量计算方法研究与应用——以辽河口为例

随着入海流量在线监测技术的兴起,本文从流量在线监测技术原理和步骤出发,对入海流量在线监测的主要技术环节进行了梳理,给出了综合、全面的江河入海径流通量流程化计算方案,并将其应用到了辽河入海径流通量计算实例中。本文的研究为江河污染物排海量的准确估算和入海流量在线监测技术的推广提供了支持。     

The effects of autophagy on vascular endothelial cells induced by airborne PM2.5

The purpose of this study was to examine the direct toxicity of PM2.5 collected from Beijing on human umbilical vein endothelial cells(HUVEC). A Cell Counting Kit 8(CCK8) assay demonstrated that PM2.5 exposure decreased the proliferation of HUVECs in a dosedependent manner. We also found that PM2.5 exposure induced autophagy in HUVECs, as evidenced by:(1) an increased number of double-membrane vesicles;(2) enhanced conversion and punctuation of the microtubule-associated protein light chain 3(LC3); and(3) decreased levels of the selective autophagy substrate p62 in a time-dependent manner.Furthermore, promoting autophagy in PM2.5-exposed HUVECs with rapamycin increased the cell survival rate, whereas inhibiting autophagy via 3-methyladenine significantly decreased cell survival. These results demonstrate that PM2.5 exposure can induce cytotoxicity and autophagy in HUVECs and that autophagy play a protective role against PM2.5-induced cytotoxicity. The findings of the present study imply a direct toxic effect of PM2.5 on HUVECs and provide novel insight into the mechanism of cardiovascular diseases caused by PM2.5 exposure.     

东海表层沉积物中多环芳烃的分布特征及来源解析

本研究对东海沉积物中多环芳烃(PAHs)组成及含量进行了分析,发现多环芳烃总浓度为8.2~180.2 ng/g,和国内外其它区域相比,整体处于一个低至中等程度的污染水平。东海沉积物中PAHs的分布整体表现为中间低、两端高的格局。内陆架是长江入海物质的主要沉积区,也是PAHs的主要汇集区;陆架北部区域的物质来源复杂,但总体受长江入海泥沙的控制,自西向东PAHs含量梯度递减;研究区域的东北部,较高的PAHs可能源于济州岛的输入;冲绳海槽也含有较高PAHs;而残留沉积区中PAHs含量极低。通过多环芳烃组成特征判断,东海表层沉积物中PAHs主要来自煤、木材、油类的燃烧,还有部分来自油类的泄漏。同时不同区域Ba P/Be P、Ba A/Chry比值的差别表明内陆架及冲绳海槽的PAHs主要来自河流输送,残留沉积区的PAHs可能主要来自大气沉降。     

小流域综合治理新设计研究——猪沼果模式

近年来,小流域综合治理的主旨思想改变了,其工作重心在于巩固和发展治理开发的成果,提升综合治理的科技含量,增加治理带来的经济效益。于是将小流域的治理与生产联系起来成为了当前科研人员的研究方向。文章对目前部分地区大力推广的"猪-沼-果"模式在小流域治理方面的概念、发展及综合效益等方面做了一些综述。总的来说,猪沼果模式能够增加农村的能源,增加农民收入,并保护绿植,促进小流域治理。     

Analysing the sensitivity behaviour of two hydrology models

Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.     

环境样品中 PCBs 的测定

通过碱解、酸洗、萃取、净化、浓缩、脱硫等步骤处理实际样品,利用毛细管柱GC/ECD进行PCBs的定性和定量.方法定性准确,定量良好,具有较高的回收率.各同系物的方法检出限,水样为0.01～0.08ng/L;土壤样为0.003～0.03μg/kg,可以应用于土壤、沉积物、水样、油样等环境样品中PCBs的测定     

安徽省淮河流域水污染分析与环境目标可达性探讨

介绍了安徽省淮河流域水污染的历史与现状,分析了淮河流域水污染的特点,对实现《淮河流域水污染防治“十五”计划》的可能性进行了探讨。     

锌、铝的激光-时间分辨荧光测定

本文报道了以７碘８羟基喹啉５磺酸作荧光增强剂的Ｚｎ、Ａｌ激光时间分辨荧光测定方法。方法检出限分别为２５μｇ／Ｌ和１０μｇ／Ｌ。用牛肝粉标准品（ＮＢＳ１５７７ａ）进行了验证     

Mathematical balance models for monitoring the state of Lake Baikal

The global cycles of man-produced pollutants entering the natural environment are reflected in changes of pollutant cycles, even in background regions.The system of mathematical balance simulation models of inorganic pollutant distribution and circulation (some heavy metals and pesticides included in the priority list for integrated background monitoring) has been developed for the Lake Baikal drainage basin. The system consists of the following units: (1) inventory and classification of regional sources of pollutants entering the atmosphere, natural waters and soils; (2) computation of the global atmospheric transfer and depositions; (3) regional spreading with atmospheric fluxes and deposition onto the underlying surfaces; (4) transport with waterflows feeding Lake Baikal; (5) transport with the lake currents and balance in the lake.The models developed have enabled improvement of existing programmes and systems of observations, in particular to substantiate the large-scale snow sampling and analysis network, and to develop the programme of integrated surveys of the state of Lake Baikal. Since 1981 these actions have been included in the operational network observations within the Lake Baikal Monitoring System.