环境空气质量自动监测站的管理与维护

随着工业化、城镇化的深入推进,二氧化硫、氮氧化物、烟粉尘和挥发性有机物等各类污染物排放到环境中,致使中国大气受到严重污染,给人体的健康、动植物的生长、发育和繁殖等带来负面的影响。为实时监测环境空气质量,建立环境空气质量自动监测站逐渐成为大气污染防治的主要手段。文中以环境空气质量自动监测站为研究对象,提出环境空气质量自动监测站管理与维护面临的问题,探讨相应的解决措施,以期为环境空气质量自动监测站的管理与维护提供参考依据。     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.     

农药优先监测品种的筛选研究

本文对我国目前正在广泛使用的几百个农药品种,从其产量,田间的施用量以及环境毒理学,环境化学,环境生物学的角度进行了系统的研究。在对各种农药进行环境风险性评价的基础上,筛选出目前在我国使用量大,毒性高,环境危害严重的10个农药品种,作为我国近期内应执行的环境优先监测品种。可以认为,若能控制了这些优先监测农药的环境污染,那么,也就在总体上控制了农药的污染问题。     

海洋环境污染监测方案设计研究

海洋环境污染监测方案是一项复杂的系统工程。中国经过２０多年海洋环境污好监测的实践活动,积累了丰富的经验。但是,由于未能对海洋环境污染监测方案进行深入细致的研讨,致使今天我国海洋环境污染监测尚停留在定性或半定量描述阶段。该文第一次把有关海洋环境污染监测相结合,通过运用逻辑构思方法和监测方法学,详细分析监测方案设计中的各个阶段,监测目标的提出,到方案的实施;从监测数据的加工,到监测信息的发布都进行了辩证的分析。本文既是中国海洋环境污染监测方案的设计指南,也是中国海洋环境污染监测工作的集大成。     

建设项目竣工环境保护验收监测应注意的问题

针对建设项目竣工环境保护验收监测中存在的问题,阐述了工况控制、总量监测、环境相容性等环节的技术要求和注意事项,并就与之相关的公众参与、监测人员的素质等问题展开了讨论。     

工业余热拆卸废旧电路板

电路板插槽元器件、通孔元器件、大元器件和小元器件的拆卸是废旧电路板资源化的第一步。前三者的拆卸率对后续的电路板粉碎有较大影响,是决定拆卸效果的重要参数。为探究工业余热拆卸废旧电路板方法中通气温度、加热时间和喷吹次数对元器件拆卸率的影响,找出最优的拆卸参数组合,进行了废旧电路板拆卸的正交实验。对元器件拆卸率、关键元器件总拆卸率的极差分析和方差分析表明,通气温度和加热时间的增大有利于元器件拆卸率增大;增加喷吹次数,有利于大元器件和小元器件的拆卸,但过多次数喷吹将造成插槽、通孔元器件引脚弯曲,拆卸率减小;通气温度、加热时间对元器件拆卸的影响不具显著性,喷吹次数仅对大元器件拆卸有显著性影响。综合分析关键元器件的拆卸率：通气温度350℃、加热时间5 min和喷吹6次是最优的拆卸参数组合,关键元器件总拆卸率达到98.6%。     

区域大气环境中PM2．5／PM10空间分布研究

提出了一种利用移动监测技术研究区域大气环境中PM2.5／PM10空间分布的方法,并在2004年12月进行了宁波市全市域PM2.5／PM10空间分布的研究。数据显示：相同路径所代表的地区PM2.5和PM10具有很好的相关性,多数路径上PM2.5与PM10数据的相关系数平方在0．95以上,而不同路径上PM2.5与PM10的比值不同。文中给出了宁波市PM2.5／PM10污染的空间分布图,直观地显示出PM2.5／PM10污染的空间分布情况,突出了污染的重点点位和地区。     

基于长光程差分吸收光谱原理的污染物监测系统在化工区的应用

应用一种基于长光程差分吸收光谱(LP-DOAS)原理的仪器,对上海市典型化学工业区进行了长期自动监测.该测量系统搭建于化工区西北方向边界上,一旦污染物浓度超标就会报警,起到边界围栏的作用.选取同站点GC-FID系统测量的甲苯数据与LP-DOAS系统测量的甲苯数据进行了比对分析,2台仪器日均浓度值的拟合系数R2为0.87...     

基于无人机高光谱和BP神经网络的城市水体污染监测

我国大多数流域存在不同程度的水体污染,城市水体污染防治与监测是一项艰巨而漫长的任务,而传统水质监测和卫星遥感方法在水体面积较大、水流运动不稳定、周边地形复杂的河流或城市湖泊的水质监测表现为适用性差、准确度低。基于无人机的高光谱遥感技术具有覆盖范围广、数据获取快速等特点,对城市水体污染监测具有一定的应用价值。以珠海市城市水域为研究对象、无人机高光谱数据为数据源,利用线性回归模型和BP (Back Propagation) 神经网络模型方法,分别建立了波段组合反射率与水体叶绿素a、氨氮和磷酸盐3种水质指标之间的最优反演模型,并通过实际样品验证了该模型在城市水体中的适用性。该研究结果不仅为大数据驱动的水质分析提供了重要的技术支持,也为无人机技术应用于城市水体污染程度评价和动态监测提供新方法。     

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.