环境监测技术培训需求分析——应用OTP模型

简述了环境监测技术培训需求分析的重要性及OTP模型的概念.针对环境监测技术培训的现状和特点,设计了符合环境监测技术培训特点的OTP模型,提出了系统分析环境监测技术培训需求的方法,以及根据实际情况科学设置输入项的不同权重,充分考虑影响模型输出的各种因素,加强研究模型输入项的量化表征,动态调整模型的输入项的建议.     

火电厂石灰石-石膏脱硫设施环保验收监测若干问题的探讨

以"十一五"期间较为常见的火电厂石灰石-石膏脱硫设施竣工环保验收监测为例,着重就验收过程监测布点、设施处理效率计算、污染物总量核算、减排项目标准执行以及环境管理检查中存在的问题进行探讨,提出解决问题的方法与思路,为今后火电厂竣工环保验收监测工作提供借鉴。     

欧盟和美国温室气体排放监测对中国的借鉴意义

欧盟出台的《第2003/87号指令:温室气体监测和报告指南》和美国环保署颁布的《温室气体强制性申报:最终条例》中,监测计划、监测技术装置、一般监测方法、最佳可用监测方法、不确定性分析、数据验证、经济成本分析等内容都对中国进行温室气体监测和报告具有借鉴意义。在此基础上,提出了温室气体监测的作用和对中国进行温室气体监测、报告的建议。     

VPT511BF-SY多孔流速仪在烟气流量在线监测中的应用

针对目前国内基于单个探头的单点在线测试烟气流量与参比方法监测比对合格率不高的问题,提出一种新颖的基于平均差压皮托管法的多孔流速仪,通过对不同的安装位置及安装数量的多孔烟气流速仪的烟气在线流量监测结果与手工监测结果进行比对,验证在适当位置安装一定数量的多孔烟气流速仪可以确保与手工监测比对结果满足要求。     

污染源排气自动监测氮氧化物的不确定度分析

使用烟气排放连续监测系统自动监测仪器测定污染源排气中氮氧化物,按照最新的《测量不确定度评定与表示》(JJF1059.1—2012)的要求,测量不确定度评定的要求,首次对其氮氧化物自动监测的不确定度进行分析,得出不确定度报告。     

建设项目竣工验收现场平行样控制指标研究

依据建设项目竣工环境保护验收中污水监测的要求,通过积累大量验收监测质量检查的实验数据,运用数理统计的方法,以化学需氧量和氨氮两个项目为例,建立了质控数据的评价方法,并确定了现场平行样偏差指标的限値。     

遥感监测土壤湿度综述

遥感技术具有大面积同步观测,时效性、经济性强等特点,为大面积动态监测土壤湿度提供了可能。本文对近年来国内外遥感监测土壤湿度的理论、方法的发展和应用进行了回顾,重点介绍了目前已经比较成熟和广泛应用的基于可见光与热红外波段的植被指数方法以及在干旱、半干旱地区的应用,通过对比分析了各种遥感监测方法的优缺点,指出了土壤湿度遥感监测方法存在的不足,展望了土壤湿度遥感监测方法的发展趋势。     

GSM移动通信基站电磁辐射污染状况研究

介绍了GSM移动通信基站系统,指出,在进行GSM移动通信基站环境影响分析时,要注意采样点位的设置和测量要求.现场监测结果表明,GSM移动通信基站对环境电磁辐射水平有一定的影响,特别是对50 m内建筑物影响显著,但绝大多数基站基本符合国家有关电磁辐射环境影响标准的要求,在设备正常运行情况下,不会对周围环境造成电磁辐射污染.     

Can we gain precision by sampling with probabilities proportional to size in surveying recent landscape changes in the Netherlands?

Seventy-two squares of 100 ha were selected by stratified random sampling with probabilities proportional to size (pps) to survey landscape changes in the period 1996–2003. The area of the plots times the urbanization pressure was used as a size measure. The central question of this study is whether the sampling with probabilities proportional to size leads to gain in precision compared to equal probability sampling. On average 1.03 isolated buildings per 100 ha have been built, while 0.90 buildings per 100 ha have been removed, leading to a net change of 0.13 building per 100 ha. The area with unspoiled natural relief has been reduced by 2.3 ha per 100 ha, and the length of linear relicts by 137 m per 100 ha. On average 74 m of linear green elements have been planted per 100 ha, while 106 m have been removed, leading to a net change of −31 m per 100 ha. For the state variables ‘unspoiled natural relief', ‘ linear relicts', ‘removed linear green elements', and ‘new – removed linear green elements' there is a gain in precision due to the pps-sampling. For the remaining state variables there is no gain or even a loss of precision (`new buildings', ‘removed buildings', ‘new – removed buildings', ‘new linear green elements'). Therefore, if many state variables must be monitored or when interest is not only in the change but also in the current totals, we recommend to keep things simple, and to select plots with equal probability.     

Monitoring of a Coastal Mediterranean Area: Culturable Bacteria, Phytoplankton, Environmental Factors and their Relationships in the Southern Adriatic Sea

Culturable heterotrophic bacterial and phytoplanktonic densities were investigated at four sites in the Southern Adriatic Sea (Brindisi, S. Cataldo, Otranto and S. M. di Leuca) over an annual cycle. The main phytoplankton groups, the bacterial biodiversity, as well as the faecal contamination indicators were determined. Culturable bacterial numbers averaged 4.8 ± 0.2 log CFU ml⁻¹ whereas phytoplankton numbers averaged 2.1 ± 0.4 log cells ml⁻¹. Relationships between culturable bacteria, phytoplankton and the environmental factors were established. Bacterial and phytoplankton densities usually depended significantly on temperature, dissolved oxygen, phosphate and nitrite only in the S. Cataldo transect. In all the examined transects phytoplankton showed a bloom during the January–February period followed by a bacterial peak during the February–March period. Thus we can suppose that the phytoplankton winter bloom is responsible for the availabily of organic matter for bacterial populations in the following months in this oligotrophic ecosystem.