“十二五”地表水国家环境监测网络吉林省水环境国控监测点位布设的构想

根据国家环境质量监测网络,对“十二五”地表水环境质量监测断面调整工作要求,吉林省在辖区内所有水环境质量监测断面及采样点基础上,完成了松花江流域和辽河流域国控监测断面的优化调整工作。在此过程中,如何从国家尺度上,既能充分反映吉林省水环境质量状况,又能满足国家对地表水环境管理需求进行了深入思考。本文以吉林省为例,在确定国控监测断面及采样点的布设中．提出了自己的构想和建议。     

天津市夏季蜂窝状溶蚀器涂层溶液浓度确定的实验研究

于2013年7月1日～8月31日,在天津市南开大学理化楼楼顶,采用蜂窝状溶蚀器进行了溶蚀器涂层溶液最适浓度的探究实验.结果表明,在天津夏季,蜂窝状溶蚀器的碳酸钠涂层溶液最适浓度为3%,柠檬酸涂层溶液最适浓度为6%.含有溶蚀器系统的颗粒物采样法与传统采样法对比发现,含蜂窝状溶蚀器的采样系统所得到的PM2.5样品浓度有86%低于传统方法所得到的PM2.5样品浓度,其原因主要为1酸/碱性气体被去除,使其无法与富集在采样膜上的颗粒物发生反应,也无法吸附到颗粒物上;2溶蚀器系统采样过程中,部分颗粒物被捕集到溶蚀器上;3酸/碱性气体被去除,导致气-粒平衡被打破,部分颗粒物组分向气态转化.     

中国危险废物和医疗废物焚烧处置行业二（口恶）排放水平研究

通过调研全国危险废物和医疗废物焚烧处置设施,对包含二噁英排放水平的设施按处置对象、炉型和处理量分类,并作系统分析和研究.结果表明现有危险废物焚烧设施烟气中二噁英的浓度比医疗废物低,达标率为74.19%;危险废物选用回转窑处置效果较好,达标率为66.67%;而医疗废物选用回转窑或热解炉,要综合考虑处置规模、生产成本和二英排放总量等因素;危险废物介于10~30 t·d-1和医疗废物介于10~20 t·d-1的处置设施要尤其注意二噁英的排放问题;医疗废物焚烧飞灰中二噁英的均值浓度为危险废物6倍以上,仅有16.67%满足填埋要求.二者烟气中二英的浓度分布以1,2,3,4,6,7,8-HpCDF、2,3,7,8-TCDF和OCDD为主.     

基于相关性分析的PCBA热力学模型修正

目的精确且高效地对印制电路板组件热力学模型进行修正。方法采用基于拉丁超立方抽样试验设计和Speraman等级相关系数计算公式的相关性分析方法,找出电子产品热仿真试验中对元器件表面温度值影响较大的输入参数,然后进一步分析得出输入与输出之间的函数关系。在此基础上给出印制电路板组件(PCBA)热力学模型修正的一般方法流程。最后利用该方法对某航空电子产品中一块PCBA的热力学模型进行修正。结果修正结果较精确且只调用2次有限元软件。结论该热模型修正方法具有较高的精确性和高效性,可推广用于工程实践。     

浅析废烟气脱硝催化剂环境管理

随着"十二五"期间国家对氮氧化物排放的控制越来越严格,选择性催化还原(SCR)烟气脱硝技术被广泛应用于火电厂的脱硝工程。本文介绍我国目前废烟气脱硝催化剂的产生情况、存在的环境风险以及发达国家的管理经验,从而提出我国将废烟气脱硝催化剂纳入危险废物管理,推行危险废物经营许可证制度,加强产生和经营单位的日常监督管理,从而促进行业的健康可持续发展。     

北京市民用燃煤烟气中气态污染物排放特征

以北京远郊农村居民常用的蜂窝煤、煤球、烟煤散煤为实验用煤,开展燃烧实验.研究了烟气无机污染物排放因子、VOCs释放情况.结果表明在充分燃烧的条件下,蜂窝煤、煤球、烟煤气态污染物SO2排放因子分别为1.50、1.91、1.62kg·t~(-1);NOx排放因子分别为0.420、0.901、2.20 kg·t~(-1);CO排放因子分别为22.4、37.3、87.3 kg·t~(-1).燃烧排放的NOx和CO的排放因子顺序关系为:烟煤煤球蜂窝煤;SO2的排放因子大小顺序分别为:煤球烟煤蜂窝煤.获得了北京市2014年3种民用煤燃烧排放的气态污染物的排放清单,烟煤散煤排放的SO2超过了0.55万t,NOx超过了0.75万t,CO超过了29万t.3种煤质燃烧过程中点火和封火阶段VOCs排放浓度相对较高,各阶段VOCs排放因子为点火阶段最高,封火阶段次之.     

光学检测法用于工业气体检测的研究

开展基于特定物质吸收光谱及其谐波检测技术的气体检测装置的实验研究.检测装置采用频率稳定措施,使激光频率始终控制在待测气体的吸收谱线上,对环境的抗干扰能力强,不会产生误判.不需要经常标定,不需要采样.     

Effect of housing geometry on the performance of Chemcatcher passive sampler for the monitoring of hydrophobic organic pollutants in water

Passive sampling of pollutants in water has been gaining acceptance for environmental monitoring. Previously, an integrative passive sampler (the Chemcatcher) was developed and calibrated for the measurement of time weighted average concentrations of hydrophobic pollutants in water. Effects of physicochemical properties and environmental variables (water temperature and turbulence) on kinetic and thermodynamic parameters characterising the exchange of analytes between the sampler and water have been published. In this study, the effect of modification in sampler housing geometry on these calibration parameters was studied. The results obtained for polycyclic aromatic hydrocarbons show that reducing the depth of the cavity in the sampler body geometry increased the exchange kinetics by approximately twofold, whilst having no effect on the correlation between the uptake and offload kinetics of analytes. The use of performance reference compounds thus avoids the need for extensive re-calibration when the sampler body geometry is modified.     

A directional passive air sampler for monitoring polycyclic aromatic hydrocarbons (PAHs) in air mass

A passive air sampler was developed for collecting polycyclic aromatic hydrocarbons (PAHs) in air mass from various directions. The airflow velocity within the sampler was assessed for its responses to ambient wind speed and direction. The sampler was examined for trapped particles, evaluated quantitatively for influence of airflow velocity and temperature on PAH uptake, examined for PAH uptake kinetics, calibrated against active sampling, and finally tested in the field. The airflow volume passing the sampler was linearly proportional to ambient wind speed and sensitive to wind direction. The uptake rate for an individual PAH was a function of airflow velocity, temperature and the octanol-air partitioning coefficient of the PAH. For all PAHs with more than two rings, the passive sampler operated in a linear uptake phase for three weeks. Different PAH concentrations were obtained in air masses from different directions in the field test.