新疆环境监测总站顺利通过国家上岗证考核

2014年7月6～8日,受中国环境监测总站委派,由上海市环境监测中心、安徽省环境监测中心站、湖南省环境监测中心站一行4人组成的国家上岗证考核专家组,对新疆环境监测总站进行了上岗证考核。新疆环境监测总站高度重视上岗证考核工作,全站上下全力以赴,科学安排,认真准备,多次召开内审会议,查摆问题,督促相关科室和人员进行整改,开展了多个专项技术培训,并进行了摸底考试。另所有参考人员开展了百分之百的自认定考核,为全面迎接上岗证考核做好了充分的准备。经过3天紧张忙碌的考核,新疆环境监测总站31名持证上岗人员、10大类,531项次顺利通过了考核,考核成绩得到了专家组的充分肯定。通过此次上岗证考核进一步提升了本站的队伍素质和人员能力,单位质量管理体系得到更进一步完善,为今后的转型发展奠定了坚实的基础。     

连云港市水质自动监测系统预警体系的建立

设计了一套完整的水质自动监测系统预警体系。建立了完整的组织机构和预警模式,明确了人员分工和污染事故判定,并介绍了各项应急处置措施。使系统能在良好的运行状态下,及时监控到污染的发生,取得了良好的预警效果。     

氨氮测定中几个问题的探讨

针对纳氏比色法测定氨氮过程中存在的问题,提出了相应的解决办法。消除了混浊和显色前后稀释问题,降低了空白吸光度,提高了测定的准确度。     

南京青奥会空气质量保障监测工作体系研究

根据南京青奥会空气质量保障目标,建立了青奥会环境空气质量保障监测体系。青奥会期间,实时监控了区域空气质量状况,科学预测了空气质量未来变化趋势,成功发布了大气污染预警,启动了应急联动措施,为青奥会空气质量保障提供了科学的技术支撑。     

环境监测市场化若干问题的思考

分析了环境监测市场化迅速发展的原因。论述了政府在环境治理中的角色和环境监测的本质属性,通过环境监测产品使用价值分析,提出了购买者为排污企业时,环境监测产品使用价值的错位概念。论述了环境监测市场化可能导致的恶性竞争。     

水华蓝藻复苏的研究进展与水华预测

综合分析了当前国内外水华复苏的研究进展,确定了水华蓝藻复苏的定义,介绍了研究蓝藻复苏的方法,以及蓝藻复苏对水体中蓝藻种群生物量以及当年蓝藻水华形成的贡献,探索了驱动水华蓝藻复苏的环境因子。结合太湖的研究成果,阐述了研究水华蓝藻复苏在进行水华预测中的重要作用,并展望了未来研究的重点。     

分光光度法测定水中铍的最佳条件选择

本文对分光光度法测定水中铍的最佳测定条件进行了研究和探讨。在方法对比实验的基础上,选择了最适宜的方法,并进行了各种条件实验,对某些实验条件进行了改进。特别是对阴离子的干扰,提出了有效的消除方法。改进后的实验方法,显色稳定,重现性好,灵敏度高,摩尔吸光系数达１．０１×１０５Ｌ／ｃｍ·ｍｏｌ。     

对进口TSP大流量采样器控制电路的改进

在空气质量自动监测系统中,ＴＳＰ大流量采样器长年安装在各子站,无人值守。由于各种原因,有时出现不该采样时的误启动,从而降低了仪器的使用寿命。为此对其电路进行了改善。改进了可控硅电路,加装了自锁电路,使仪器在没有采样膜时自行锁定不运转,延长了仪器的使用寿命。     

中国环境噪声污染防治现状及建议

分析了中国环境噪声污染防治状况及变化趋势,归纳总结了"十一五"以来环境噪声污染防治的重要举措。论述了环境噪声污染防治监督管理工作现状及面临的问题,并提出了相应的对策建议,为进一步做好环境噪声污染防治工作提供了支持。     

基于证据法学的环境监测原始记录设计

从证据法学概念的角度浅析了环境监测原始记录的证据范畴,根据其所属范畴的证据要求,归纳了环境监测原始记录的证据要求。结合实例,分析了环境监测原始记录存在的不足,并提出了改进建议。     

关于废水中污染物浓度日均值的思考

在环境污染防治工作从污染物浓度控制逐步向排污总量控制转变的过渡阶段 ,污染物浓度日均值仍然发挥着十分重要的作用。文章阐述了日均值的监测时段、监测频率及计算方法等技术要求 ,并结合排污总量监测 ,提出了一些建议     

广州市臭氧及其前体物监测系统研究与应用

通过利用近地面在线监测、塔基点式梯度在线监测、地基雷达遥感在线监测等技术方法构建臭氧浓度立体在线监测系统,并将其应用于对臭氧浓度分布、传输及变化的分析研究。结合臭氧前体物挥发性有机物（VOCs）监测现状,研究开展VOCs离线监测,完善VOCs在线监测体系,并将其应用于对广州市VOCs组分的分区分时段监测。上述监测系统业务化应用于广州市臭氧污染分布的长期监测,可为开展臭氧来源解析提供基础性的监测平台。     

颗粒物对污染源COD水质在线监测仪比对监测的影响

污水中的颗粒物是COD在线监测仪在比对监测时出现较大误差的原因之一,就颗粒物对COD在线监测仪是否产生影响以及影响效果进行了实验研究。研究结果表明,COD在线监测仪的预处理系统去除颗粒物会带来比对监测的误差,并且随着颗粒物浓度增加,误差增大;预处理系统过滤器尺寸也会对比对监测的误差产生影响,针对同一浓度水样,孔径越大误差越小,针对同一孔径过滤器则水样浓度越高误差越小。     

Uncertainty based optimal monitoring network design for a chlorinated hydrocarbon contaminated site

An application of a newly developed optimal monitoring network for the delineation of contaminants in groundwater is demonstrated in this study. Designing a monitoring network in an optimal manner helps to delineate the contaminant plume with a minimum number of monitoring wells at optimal locations at a contaminated site. The basic principle used in this study is that the wells are installed where the measurement uncertainties are minimum at the potential monitoring locations. The development of the optimal monitoring network is based on the utilization of contaminant concentration data from an existing initial arbitrary monitoring network. The concentrations at the locations that were not sampled in the study area are estimated using geostatistical tools. The uncertainty in estimating the contaminant concentrations at such locations is used as design criteria for the optimal monitoring network. The uncertainty in the study area was quantified by using the concentration estimation variances at all the potential monitoring locations. The objective function for the monitoring network design minimizes the spatial concentration estimation variances at all potential monitoring well locations where a monitoring well is not to be installed as per the design criteria. In the proposed methodology, the optimal monitoring network is designed for the current management period and the contaminant concentration data estimated at the potential observation locations are then used as the input to the network design model. The optimal monitoring network is designed for the consideration of two different cases by assuming different initial arbitrary existing data. Three different scenarios depending on the limit of the maximum number of monitoring wells that can be allowed at any period are considered for each case. In order to estimate the efficiency of the developed optimal monitoring networks, mass estimation errors are compared for all the three different scenarios of the two different cases. The developed methodology is useful in coming up with an optimal number of monitoring wells within the budgetary limitations. The methodology also addresses the issue of redundancy, as it refines the existing monitoring network without losing much information of the network. The concept of uncertainty-based network design model is useful in various stages of a potentially contaminated site management such as delineation of contaminant plume and long-term monitoring of the remediation process.     

区域规划环评中大气环境监测点位布设研究

探讨了大气环境监测点位的布设方法,在区域规划环境影响评价布设大气监测点位时,应综合考虑开发区的功能区划分、区内产业分布及环境敏感点分布等情况;结合规划区内外现状及规划实施后重点污染源的位置及排放高度,根据区域污染气象条件,采用Gauss模式预测最大浓度落地点,并以此作为区域大气环境监测点的布设依据.对某区域开发规划案例进行了大气环境监测点位布设研究,通过实践,该布设方法不仅可以反映区域大气环境质量现状的空间分布特征,而且可以为区域大气环境预测提供良好的数据支持,为优化区域规划提供依据;同时,对规划后的污染源最大浓度落地点的监测,可以为单个项目的环境预测提供背景值,起到简化入区建设项目环评的作用.     

考虑道路扬尘特性的环境空气质量在线监测方法

为判断环境空气污染的程度,提出一种考虑道路扬尘特性的环境空气质量在线监测方法。通过前端数据监测模块采集大气环境数据,基于光全散射法监测道路扬尘的质量浓度和密度;通过监测通信模块将监测结果传送至云服务器;云服务器利用基于极限学习机神经网络的预测模型,采用自适应粒子群优化算法,获取最佳的环境空气质量在线监测结果。结果表明,该方法学习速率的取值为0.5时,能够完成颗粒物浓度和密度的准确检测,且解释方差<2%,同时能够监测扬尘颗粒的扩散时间,确定适合活动的区域。     

Project of an Air Quality Monitoring Network for Industrial Site in Italy

In this paper results concerning project of an atmospheric monitoring network applied to an area of south of Italy carried out using chemical measurement campaigns (for traffic emissions characterisation couple with diffusional simulation of industrial pollutant emissions will be presented. The area selected is characterised by an high concentration of high environmental impacting industrial activities, with also high concentration of urban settlement and vehicular traffic. A comprehensive definition of all the monitoring system to be installed in order to have a correct monitoring system for the all province will be described and discussed.     

克拉玛依市大气PM2.5、PM10污染水平浅析

根据从2012年1月1日至2012年3月30日在同一个监测点取得的PM2.5和PM10监测数据,分析采暖期颗粒物污染水平特征。结果表明,PM2.5浓度和PM10浓度之间高度线性相关;克拉玛依市冬季空气环境中PM2.5是PM10中的主要组成成分;PM2.5浓度在一天内基本保持稳定,而PM10浓度在一天之中的变化幅度较大,峰值出现在中午上下班高峰期。     

Sequential optimal monitoring network design and iterative spatial estimation of pollutant concentration for identification of unknown groundwater pollution source locations

One of the difficulties in accurate characterization of unknown groundwater pollution sources is the uncertainty regarding the number and the location of such sources. Only when the number of source locations is estimated with some degree of certainty that the characterization of the sources in terms of location, magnitude, and activity duration can be meaningful. A fairly good knowledge of source locations can substantially decrease the degree of nonuniqueness in the set of possible aquifer responses to subjected geochemical stresses. A methodology is developed to use a sequence of dedicated monitoring network design and implementation and to screen and identify the possible source locations. The proposed methodology utilizes a combination of spatial interpolation of concentration measurements and simulated annealing as optimization algorithm for optimal design of the monitoring network. These monitoring networks are to be designed and implemented sequentially. The sequential design is based on iterative pollutant concentration measurement information from the sequentially designed monitoring networks. The optimal monitoring network design utilizes concentration gradient information from the monitoring network at previous iteration to define the objective function. The capability of the feedback information based iterative methodology is shown to be effective in estimating the source locations when no such information is initially available. This unknown pollution source locations identification methodology should be very useful as a screening model for subsequent accurate estimation of the unknown pollution sources in terms of location, magnitude, and activity duration.     

河南省五城市环境空气PM_(10)手工标准方法与自动监测法比对分析

在焦作、安阳、开封、三门峡、信阳5个城市开展PM_(10)手工标准方法和自动监测法比对实验,并用相关性和相对偏差对比对结果进行分析和评价。结果表明:12015年5个城市采集的PM_(10)手工和自动监测值均具有良好的相关性。22015年5个城市采集的PM_(10)手工和自动监测值的相对偏差为-19.1%~9.68%;负偏差数据占总数据量的75%。3PM_(10)手工和自动监测值|RD|平均值在中浓度下最小,高浓度下最大,低浓度介于二者之间,说明在高浓度和低浓度时PM_(10)的监测数据质量尤其值得关注。