Biological complexity confounds the separation of point- and non-point sources of human impact on the natural world

Identifying process from pattern is one of the most vexing tasks inenvironmental monitoring. Given information on the distribution of speciesin a pre-defined area, together with comprehensive data on how environmentalconditions in that area have altered through time, is it possible toidentify the factors controlling the species‘ layout? Here, the practicalsignificance of this quandary is demonstrated using a series ofenvironmentally-degraded coastal lagoons in New South Wales. The TuggerahLakes (33°17′S,151°30′E) have over the last 50 yearsexperienced significant changes in species‘ distributions. Seagrasses,macroalgae, phytoplankton, molluscs, prawns and the jellyfish Catostylus mosaicus have altered in spatial pattern. Two human activitieshave been blamed for these perturbations: (1) agricultural clearance ofnative vegetation from the catchment, with associated input of top-soil andnutrients; (2) the commissioning of a coal-fired power station in 1967, withmassive uptake and recirculation of lake water for cooling purposes. In thispaper, spatial changes in macrophyte distributions over the last 50 yearsare reviewed in an attempt to identify the true source(s) of perturbation.The model adopted assumes that the power station is a point source of impactwhile nutrient inputs from the catchment are a diffuse source of impact;changes in species distributions can hypothetically be related back to thesesources according to whether they are localised or widespread. However,after a comprehensive analysis of available macrophyte data derived frominterviews, aerial photography and line transect methodologyies theconclusion is reached that changes in biogeographical pattern around theTuggerah Lakes cannot be attributed to specific anthropogenic pressures atanything beyond the coarsest of levels. This is considered to be the normfor most coastal management situations where natural background variation(’noise‘) and the complexity of linkages between physical, chemical andbiological components confounds the identification of causal relationships.The practical implications of this conclusion are discussed in the contextof litigation and remedial management design. Emphasis is placed on theneed to adopt an adaptive approach to estuarine management, incorporatingexplicit recognition of the limitations of available data, and to developnew techniques for identifying cause-effect relationships.     

几种土壤质量评价方法的比较

分别用Ｔ值分级法，综合指数法，模糊数学综合评判法，灰色聚类法，等斜率灰色聚类法，宽域灰色聚类法对湖南某地１０个监测点的土壤质量现状进行评价，通过比较，认为宽域灰色聚类法较好。     

基于N，N─二甲基苯胺与NO_2~－─对氨基苯磺酸重氮盐的偶联反应示波极谱法测定NO_2~－

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灰色局势决策用于水环境质量的评价

按灰色系统理论的观点和方法，根据各污染因子对环境质量的不同影响，将灰色局势决策法应用于水环境质量综合评价，并与水质距离评价法，模糊综合评判法和灰色关联度分析法进行了比较，结果表明，利用灰色局势决策法进行环境质量评价，是一种有效的实用方法。     

用灰色关联度方法进行水污染因子分析

介绍了灰色关联度因子分析方法,以及此法在水污染因子分析中的应用.对于一般监测资料系列短而监测项目却较齐全的情况,应用本法是较适宜的.     

试谈乌鲁木齐市城市环境保护对策

针对乌鲁木齐市目前的城市环境质量状况和环境保护中存在的问题，分别从大气环境、水环境、生态环境及城市综合整治方面分析了成因，从可持续发展的角度提出了城市环境保护的针对性措施。     

多介质环境目标值的应用

本文概述了多介质目标德的SAM/Ⅰ的方法。多介质目标值包括环境目标值和排放目标值。点源分析包括SAM/ⅠA,SAM/ⅠB,SAM/Ⅰ,SAM/Ⅱ。在缺少环境质量标准的情况下,使用多介质环境目标值有较强的适用性,且具有省时、省力、经济等特点。本文将多介质目标值的SAM/ⅠA点源分析方法引入聚氯乙烯生产废水的环境评价中,取得较为满意的结果。     

苏州河干流水质模型的开发研究

对《苏州河水质模型的开发》课题完成的大部分内容进行了介绍，包括水质模型的选择及其原理、模型研究的内容与开发方法、干流水质模型的率定与验证，并据此给出了关于苏州河水环境特性的一些参数值，计算的基准时间为1999年夏季苏州河第3次调水试验时期。需要指出的是，苏州河正处于动态的综合整治过程中，模型中有关参数也会随其相应改变。     

中小企业面对ISO14001标准的发展对策

简要论述中小企业实施ＩＳＯ １４４００１标准、建立 环境管理体系面临机遇和挑战，以及中小企业实施ＩＳＯ １４００１标准的对策。     

环境保护的两种重要手段-政府决策与公众参与

综述了目前我国环境保护的两种重要手段-政府决策和公众参与的现状及必要性,将政府决策与公众参与结合起来,以推动我国环保事业的进一步发展.