An assessment methodology for successional systems. I. Null models and the regulatory framework

Standard procedures for evaluating environmental impact involve comparison between before and after conditions or scenarios or between treatment and control site pairs. In many cases, however, endogenous directional change (natural succession) is expected to occur at a significant rate over the period of concern, particularly for manmade systems such as impoundments. Static evaluations do not provide an adequate approach to such problems. A new evaluation frame is proposed. Nominal system behavior over time is characterized by a stochastic envelope around a nominal trajectory. We show that both the state variance and the sampling variance can change over time. In this context, environmental regulations can be framed as constraints, targets, or conformance to ideal trajectories. Statistical tests for determining noncompliance are explored relative to process variance, sample error, and sample size. Criteria are elucidated for choosing properties to monitor, sample size, and sampling interval.     

环境生物样品预处理中的微波溶样技术

微波溶样是近年产生的一种崭新的有前途的样品预处理技术，本文评述这一技术在环境、生物样品消解方面的近期应用。     

The use of Landsat multispectral scanner data for the analysis and management of flooding on the river Severn,England

Remote sensing has emerged as one of the major techniques for the analysis and delineation of large floods. This analysis can provide data invaluable for the hydrological management of large river systems. A need for information on the extent of floodplain inundation for the lower reaches of the largest river in the UK was met by a search through Landsat images of floods and the analysis of the best example recorded. Automated classification of the Landsat imagery of this flood on the river Severn in 1977 was used to provide estimates of the extent and spatial distribution of inundation. Flood images were generated using the Plessey IDP 3000 image processor, and the maps derived accorded well with aerial photography and qualitative flood information. Three distinct floodplain environments were delineated and flood images produced by different spectral bands compared. Specific questions prompted by flood hazard management and concerning the processes and extent of flooding were answered by the Landsat data analysis. Management of the flood risk of large rivers is expensive and remote sensing data is a relatively cheap and effective way of monitoring control works and providing data for the prediction of the effects of future hydrological works. Remote sensing is a practical way in which spatial information concerning the behavior of large dynamic systems can be obtained both quickly and relatively cheaply.     

DERIVING THE NONLINEAR RISK-BENEFIT ALGORITHM FOR RESERVOIRS1

ABSTRACT: The Nonlinear Risk-Benefit (NRB) Algorithm includes risk as one of the objectives in a multiple-objective optimization problem. The NRB Algorithm is derived by extending the Surrogate Worth Trade-Off method to quadratic programming. This category of problem is common in water resources planning and design, especially multipurpose reservoir systems. Consequently, an example is given using the algorithm for optimally operating a multipurpose reservoir.     

用纳滤膜分离技术处理发电厂循环冷却水

简要介绍了纳滤膜的定义和原理，并且对用纳滤膜处理厂循环冷却水进行工艺和经济技术分析。     

石化废水脱氮技术现状分析

针对石化废水脱氮的现有技术进行归纳,并对各种方法的优缺点进行了对比分析,探讨了目前石化废水的脱氮技术现状和发展趋势。结论是:目前还没有一种通用的方法能处理所有氨氮废水,必须针对不同废水选择不同的技术及工艺。为了更有效地处理废水,应联合使用多种方法和工艺,这已是目前废水处理的一种趋势。     

基于多Agent技术的交通事故救援系统的研究

着重介绍了目前人工智能领域的研究热点问题———Agent技术的概念与原理 ,以及多Agent组的概念和分类 ;提出了基于多Agent技术的交通事故救援系统的流程框架 ;论述了该系统每一个Agent成员所能够完成的主要功能 ;通过该系统的实现 ,可以提高交通事故的及时报警与快速解决的效率 ,实行更加有效的交通流量合理分配 ;在利用既有交通基础设施的基础上增强了出行者的出行便利。笔者认为 ,随着Agent技术和网络技术研究的不断深入 ,基于Agent的应用研究必将有着更广泛的应用前景     

污水的人工湿地系统处理技术

本文通过了人工湿地系统处理技术及其发展、应用的综述介绍，并以深圳白泥坑人工湿地处理系统工程与二级生化污水处理厂相比较。结果表明，用人工湿地系统处理污水具有投资少，耗能低，运行简便等优点，提出研究、推广应用湿地系统技术处理污水的建议，可供环境保护科研及管理人员参考。     

Monitoring Forest Carbon Sequestration with Remote Sensing and Carbon Cycle Modeling

Sources and sinks of carbon associated with forests depend strongly on the management regime and spatial patterns in potential productivity. Satellite remote sensing can provide spatially explicit information on land cover, stand-age class, and harvesting. Carbon-cycle process models coupled to regional climate databases can provide information on potential rates of production and related rates of decomposition. The integration of remote sensing and modeling thus produces spatially explicit information on carbon storage and flux. This integrated approach was employed to compare carbon flux for the period 1992–1997 over two 165-km² areas in western Oregon. The Coast Range study area was predominately private land managed for timber production, whereas the West Cascades study area was predominantly public land that was less productive but experienced little harvesting in the 1990s. In the Coast Range area, 17% of the land base was harvested between 1991 and 2000. Much of the area was in relatively young, productive-age classes that simulations indicate are a carbon sink. Mean annual harvest removals from the Coast Range were greater than mean annual net ecosystem production. On the West Cascades study area, a relatively small proportion (< 1%) of the land was harvested and the area as a whole was accumulating carbon. The spatially and temporally explicit nature of this approach permits identification of mechanisms underlying land base carbon flux. Published online     

Evaluation of leachate composition by multivariate data analysis (MVDA)

Landfills generate emissions in the form of gas and leachate. The emissions are often measured within monitoring programmes. It is likely that the requirements of such monitoring programmes can be extended in the future, particularly in light of the increased interest in specific organic substances. Multivariate data analyses (MVDA) have been used to evaluate the possibility of predicting the content of specific organic substances from more common analyses. The results indicate that this is possible for a specific leachate. MVDA can also be used to reduce the number of analyses performed within existing monitoring programmes while retaining information about all the variables formerly included in the programmes.