The Variability of Estimates of Variance, and Its Effect on Power Analysis in Monitoring Design

Power analysis can be a valuable aid in the design of monitoringprograms. It requires an estimate of variance, which may come from a pilot study or an existing study in a similar habitat. For marine benthic infauna, natural variation in abundances canbe considerable, raising the question of reliability of varianceestimates. We used two existing monitoring programs to generatemultiple estimates of variance. These estimates were found to differ from nominated best estimates by 50% or more in 43% of cases, in turn leading to under or over-estimation of samplesize in the design of a notional monitoring program. The twostudies, from the same general area, using the same samplingmethods and spanning a similar time scale, gave estimatesvarying by more than an order of magnitude for 25% of taxa.We suggest that pilot studies for ecological monitoring programsof marine infauna should include at least two sampling times.     

Monitoring of Seasonal Vegetables for Pesticide Residues

Market samples (60) of six seasonal vegetables were monitoredduring 1996–1997 to determine the magnitude of pesticidalcontamination. The estimation of insecticide residuesrepresenting four major chemical groups i.e. organochlorine,organophosphorous, synthetic pyrethroid and carbamate, was doneby adopting a multiresidue analytical technique employingGC-ECD and GC-NPD systems with capillary columns. The testedsamples showed 100% contamination with low but measurableamounts of residues. Among the four chemical groups, theorganophosphates were dominant followed by organochlorines,synthetic pyrethroids and carbamates. About 23% of the samplesshowed contamination with organophosphorous compounds abovetheir respective MRL values. More extensive studies coveringdifferent regions of Haryana state are suggested to get a clearidea of the magnitude of vegetable contamination with pesticideresidues.     

The New Danish Stream Monitoring Programme (Novana) – Preparing Monitoring Activities For The Water Framework Directive Era

Denmark has a long tradition of monitoring the aquatic environment. Previous monitoring has mainly focused on loss of nutrients and subsequent impacts on the biological structure in lakes and coastal areas. However, as part of the third Action Plan for the Aquatic Environment more emphasis has been put on stream ecology. The present paper describes background, strategy and content of the new NOVANA stream programme, which will run for the period 2004–2009. The new programme will encompass more than 800 stations covering all stream types in Denmark and monitoring will include three biological quality elements (macrophytes, macroinvertebrates and fish) as well as physico-chemical features and hydromorphological elements. In addition, the new programme integrates monitoring of elements both in the stream itself and in the riparian zone. Compliance with important European Commission Directives such as the Water Framework Directive and the Habitat Directive is discussed.     

天津市环保产业信息管理系统研究

通过对环保产业信息获取,处理,应用等环节的研究,完成了对天津市自１９９３年来的首次环保产业调查,开发了配套的管理软件系统,同时对该系统的知识发现,网络化等问题进行了探讨。     

流动注射催化光度法测定环境水样中的痕量亚硝酸根

基于在pH为2.7的一氯乙酸缓冲溶液中亚硝酸根对溴酸钾氧化亮绿具有催化作用,建立了测定环境水样中痕量亚硝酸根的流动注射催化光度法。在室温下,当溴酸钾浓度为0.15mol/L、亮绿溶液浓度为1.12×10-3mol/L时,该方法的线性范围为0.04～0.36mg/L,检出限为7.44×10-4mg/L,测定频率为60次/h,相对标准偏差为1.1%(n=11)。     

现代电化学技术与环境保护

介绍了电化学技术在清洁工艺的开发、清洁产品的制备、废水与废气的处理、被污染土壤的修复和环境污染物监测方面的应用情况。电化学技术具有能量利用率高、经济实用以及污染物产生量少或污染物去除率高等特点，在环境保护领域具有广阔的应用前景。     

森林雷击火的预报监测

本文介绍对森林雷击火预测的研究及其监测技术的进展与应用，以期作为大兴安岭雷电监测网全面开通后监测预报研究工作的新起点     

基于GPRS技术的地质灾害无线遥测系统

将通用分组无线业务(GPRS)技术应用于地质灾害监测系统,可实现监测数据的无线传输和Internet的无线接入,因而实现地质灾害监测数据互联网共享和预警、救灾指挥联网.详细介绍了在三峡工程万州库区运行的基于GPRS技术的地质灾害无线遥测台网的体系结构、功能实现以及运行效果.该系统的建成与可靠运行使三峡库区地质灾害的监测预警系统走向数字化、自动化、网络化.     

光纤传感器FBG和BOTDR应用于结构监测的若干比较研究

对建筑结构进行健康监测,可以防止和避免灾害的发生。传感器的选择和使用是进行结构监测时首先要考虑的问题。光纤传感器是一种新型的传感器,因种类不同在性能方面也相差较大。FBG(FiberBraggGating,光纤Bragg光栅)和BOTDR(BrillouinOpticalTimeDomainReflectometry,布里渊光时域反射计)是近些年来发展比较快的光纤传感器,本文介绍了这两种光纤传感器,并着重从两者传感的基本原理、传感系统组成、温度补偿研究和性能优劣等方面进行了详细的比较,得出了各自作为结构监测传感器的优缺点,为今后的监测选用提供了依据,使应用两者时能够做到扬长避短。     

深水平台施工过程自然风险定量评估

在分析现有风险理论的基础上,结合海洋施工实际,提出了一种对海洋施工自然风险进行定量评估的模型。根据目标系统各风险事件与影响因素之间存在高度非线性复杂映射的特点,提出了利用BP神经网络拟合方法,对主要风险事件发生概率进行量化的模型。针对传统的梯度下降优化算法收敛速度慢的特点,采用可避免计算Hesse矩阵的Levenberg-Marquardt算法来训练神经网络。这一模型可以模拟专家评价,并准确地按照专家的评定法则进行估算,具有一定的通用性。