环境监测分析中校准曲线应用和检验方法的探讨

本文阐述了环境监测分析中校准曲线的分类 ,拟合方法和应用范围 ,提出对拟合标准曲线可靠性检验的概念和方法。如 :相对剩余标准差 ,截距、斜率检验 ,失拟方差检验等 ,这些方法在实际监测分析中具有一定的应用价值     

测量不确定度在空气自动监测中的应用

根据测量原理建立数学模型，分析各种不确定分量的来源，评定标准不确定度，确定合成不确定度和扩展不确定度。通过不确定影响分量的分析，找出最大不确定分量，重点控制其分量，可保证测量的准确性和精度，也可通过重新评估显著性不确定分量，找出方法存在的不足和问题，提出控制不确定分量的步骤和方法，改善测量方法和手段提高测量准确性和精度。     

实验室信息管理系统(LIMS)在环境监测系统的应用探讨

简要介绍了实验室信息管理系统(LIMS)的功用与发展基础,重点提出了环境监测部门引入LIMS所应关注的内容以及监测站LIMS系统应该实现的功能,展望了环境监测部门成功运用LIMS系统后为监测站行政、业务、质量、数据等等管理将带来的巨大变化.     

Natural and artificial landscape change in a Dutch estuary: partially monitored with low budget method (a study in the fourth dimension)

This study includes ome aspects of the shift in the Dutch attitude in relation to water during the past millennia from defense to attack to keeping the balance(“co-evolution“).It has a special focus on the freshwater tidal part,which embraces the largest of the world:Rotterdam ,as well as the largest national park of the Northerlands.It reports especially about a young mans endeavor in half a c century real time monitoring of some land (scape) units with simple means.     

澜沧江流域水质现状及影响分析

评价分析表明，澜沧江流域水污染源及污染物排放呈增长状态，水质总体上呈恶化趋势。干流上中游水质较好且基本稳定，下游则恶化趋势明显且影响出境水质。在考虑澜沧江流域水污染规划时，应把控制下游作为重点内容。     

制约4级站发展的问题探讨

从9个方面探讨了制约4级站环境监测工作及其发展的问题,针对在现阶段如何搞好环境监测工作,及时提供准确的数据和信息,提高4级站的影响和地位等问题,提高出了一些看法.     

水质自动监控系统在水产养殖业上的应用

设计了新型的测量池，配上在线分析仪、PC机、485总线、模块和电气控制设备，研制了池塘养殖水质处动监控系统，能做到监测水质、自动增氧和投饲、更换池水，系统经长期运行，正常无故障。     

遥感监测沙尘暴的研究进展及趋势

沙尘暴是一种气象灾害,也是严重的生态环境问题.它对自然环境和经济社会的危害已越来越引起人类的重视.随着环境遥感的发展,运用遥感技术对沙尘暴进行监测是最有效的方法之一.文章通过对中国沙尘暴遥感监测研究的现状的概述以及对当前遥感应用的技术水平的分析,展望了未来遥感监测沙尘暴的发展趋势.     

秦皇岛海域生态环境特征与赤潮监测

在简述秦皇岛海域自然环境特征与营养盐分布及赤潮生物特征的基础上，采用营养状态指数和浮游植物生态特征指标对该海域富营养化状态给予评价。调查表明，该海域自７０ 年代末以来共发现３２种赤潮生物。     

Use of Integrated Modeling to Enhance Estimates of Population Dynamics Obtained from Limited Data

Abstract:  Demographic data of rare and endangered species are often too sparse to estimate vital rates and population size with sufficient precision for understanding population growth and decline. Yet, the combination of different sources of demographic data into one statistical model holds promise. We applied Bayesian integrated population modeling to demographic data from a colony of the endangered greater horseshoe bats (Rhinolophus ferrumequinum) . Available data were the number of subadults and adults emerging from the colony roost at dusk, the number of newborns from 1991 to 2005, and recapture data of subadults and adults from 2004 and 2005. Survival rates did not differ between sexes, and demographic rates remained constant across time. The greater horseshoe bat is a long-lived species with high survival rates (first year: 0.49 [SD 0.06]; adults: 0.91 [SD 0.02]) and low fecundity (0.74 [SD 0.12]). The yearly average population growth was 4.4% (SD 0.1%) and there were 92 (SD 10) adults in the colony in year 2005. Had we analyzed each data set separately, we would not have been able to estimate fecundity, the estimates of survival would have been less precise, and the estimate of population growth biased. Our results demonstrate that integrated models are suitable for obtaining crucial demographic information from limited data.