赤红壤的贮水量及其有效性

（１）赤红壤的贮水总量和有效水量的分布有明显的规律性．２—９月占全年的７０％左右，１０月—翌年１月占３０％左右．（２）赤红壤的有效水量占总贮水量的３１％—４４％，土壤肥力高的耕作赤红壤，其有效水量占总贮水量的３６％以上．在年降雨量小于１６００ｍｍ、蒸发量大于１１００ｍｍ的条件下．表土层有效贮水量低于萎蔫含水量出现的时间与土壤熟化程度有关，熟化度高的出现在１２月—翌年１月，熟化度低的往往出现在１０月—翌年１月．历时３—４个月．（３）赤红壤０—１００ｃｍ土体的贮水量及有效贮水量低于红壤而高于砖红壤．     

山一村山地生态系统结构功能和系统调控

本文对山－村山地生态系统的结构和功能、能量产投比、生物量等进行实地调查和研究。结果表明，通过多年生态建设，山地生态系统已显示较好的经济、环境和社会效益。     

上海城市绿地系统构筑初探

本文从剖析上海城市绿地存在问题入手，结合城市规划配套发展原则，走生态城市大园林之路，探讨了绿地系统构筑的指导思想和原则，研究并提出了城市绿地系统的构筑的四大子系统体系。     

黑河流域土地退化分类研究

黑河流域位于我国的西北内陆干旱区。人类不合理利用水资源造成的土地退化，已成为黑河流域一个非常严重的生态问题。土地荒漠化是该流域最典型和最严重的土地退化形式。对该流域土地退化的空间分布、特点、退化面积等方面还没有较为详细的研究，因此探讨这个问题就显得非常重要。文章通过最新的遥感影像资料(2000年)，在分析已有的研究成果的基础上，结合野外调查，利用遥感和地理信息系统(GIS)技术，初步分析了黑河流域土地退化的情况。研究结果表明，黑河流域土地退化主要有5种类型，即：水土流失、干旱化、植被退化、盐渍化和沙漠化。土地退化面积达29971．91km^2，占整个流域面积的23．06％；其中，水土流失主要分布在祁连山的南部山区，面积为5747．68km^2，占整个流域土地退化面积的19．18％，主要是由于过度开垦和放牧造成的；由于人类活动的影响，造成水资源在时空上的重新分配而导致的干旱化土地主要分布在山前部分冲、洪积平原的河流沿岸附近，其面积为1369.96km^2，占整个流域土地退化面积的4．57％；盐渍化土地是该流域土地退化的主要类型之一，面积为10591．82km^2，占整个流域土地退化面积的35．34％，分布在流域的低地、冲积扇的边缘等位置，主要是由于干旱的气候条件造成的；沙化土地，包括流动沙丘(地)，是研究区土地退化面积最大的类型，为10771．97km^2，占整个流域土地退化面积的35.94％，这其中也包括历史时期形成的沙漠和现代形成的大部分沙地；植被退化土地面积为1490．48km^2，只占整个流域土地退化面积的4．97％。通过分析可知，黑河流域土地退化严重，特别是在下游地区。人类不合理的经济活动，尤其是对该流域内有限水资源的不合理利用，是导致该地区土地生态系统脆弱的主要因素。     

快速渗滤土地处理系统对城市生活污水中N、P去除的优化研究

为了探索城市生活污水中N、P去除，在实验室内采用混合土为介质，以均匀设计原理为指导，进行模拟人工快速渗滤系统对城市生活污水中N、P的去除。研究不同介质配比，淹水时间，湿干比3种因素组合对污水处理的最优运行模式。试验结果表明：通过选取混合土为介质及以上3个参数是可行的；通过回归统计得出最优模型。     

钢铁酸洗废液的资源化处理技术

钢铁酸洗废液中含有大量的酸和铁盐，已被各国作为危险废物进行管理，多年来，研究者已经研究出多种有效、可行的资源化处理方法和技术，从技术成熟性、工艺特性、工艺关键、过程控制、应用前景和发展方向等方面介绍了技术上比较成熟和具有良好前景的7种主要方法，以利于保护环境和酸洗废液资源化处理技术的进步。     

超高浓度萘系磺酸染料中间体废液资源化

本文介绍了胺盐萃取回收率液中萘磺酸染料中间体的方法，回收率达９５％以上，回收浓缩液工艺套用，１０ｔ／ｄ废液量的资源化年净效益达５８０万元，投资费用两个月即可全部收回，采用Ｌａｎｇｍｕｉｒ等温方程描述体系中萃取剂用量，待萃物含量和萃取率的关系，使工艺参数的确立和工程设计完全处理指导之下。     

The nature and significance of public exposure to arsenic: a review of its relevance to South West England

In South West England, more than two hundred years of intensive exploitation of metalliferous ore deposits, combined with the natural processes of pedogenesis from mineral-rich parent rocks, has resulted in the creation of a aignificant area of arsenic-contaminated wastes and soils. The scale of arsenic dispersion by natural and anthropogenic processes is such that 722 km² of land contains concentrations of arsenic in excess of 110 g g^–1, more than twice the maximum that might be expected in a normal soil.The general rationale for the clean-up of derelict and contaminated mining sites often includes aesthetic factors and the desirability of preventing the dispersion of contaminants beyond the site boundaries. Only in extreme cases is public health directly invoked as justification for remediation. In South West England, if arsenic constitutes a genuine threat to the public, an increased rate of site remediation would be justified. The primary purpose of this review is to establish whether or not widespread arsenic contamination (principally of soils) has any measurable effects on public health in South West England, and how this might affect current contaminated site remediation policy. The review is based on data from previous research in the region, and other relevant international studies of mining and smelting communities, and other populations exposed to elevated arsenic concentrations. The literature reviewed also includes the determination of the extent and sources of contamination, and pathways between source and man.While the contamination of potable waters in some countries has led to measurable health effects, this scenario has not yet been identified in South West England, and there is little reason to believe that significantly contaminated potable water supplies would escape detection for extended periods of time under the current monitoring regime.In relative terms (based on both globaland local data), one of the most significant links between contaminated soils and humans appears to be contaminated food stuffs. In absolute terms, such exposure is low due to the natural constraints on arsenic uptake by herbage, cereal crops and vegetables, and the food chain does not appear to have been significantly compromised in South West England. Chronic health effects are unlikely as excessive arsenic concentrations in locally grown food crops remain rare.With the problems of confounding medical and social factors, it is not surprising that studies in South West England have failed to identify chronic exposure to arsenic at very low concentrations as a significant health risk. Those studies that indicate otherwise do not stand up to close scrutiny. It appears that the number of additional deaths arising from the widespread arsenic contamination in South West England is small. The relative benefits of a costly statistical study to actually determine the number of additional deaths might be considered minimal, but one major area could benefit from further studies: the sensitivity of certain population sub-groups to environmental arsenic exposure. Of particular interest are children, for whom significant exposure to arsenic via soil ingestion may be occurring.Based on available information, there appears to be no justification for a large programme of site remediation. Resources should, however, be expended on enlightening the general public, and private and governmental organisations as regards the gap between the perceived and actual significance of arsenic contamination in South West England.To whom correspondence should be addressed.     

Uncertainty, learning, and the optimal management of wildlife

Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.     

Is Current Consumption Excessive? A General Framework and Some Indications for the United States

Abstract:  Many prior studies have explored the implications of human population growth and environmentally problematic technologies for biodiversity loss and other forms of environmental degradation. Relatively few, however, have examined the impacts of the level and composition of consumption. We offer a framework that shows how the level and composition of a society's total consumption relate to the uses of various forms of capital and to the sustainability of natural resources and human well-being. We relate the framework to two main approaches—top–down macro studies and bottom–up computer models—for measuring whether overall consumption in the United States satisfies a sustainability requirement. Existing top–down studies have shortcomings that bias their results toward optimism, and current computer simulation models, although strong on revealing biophysical outcomes, are limited in their ability to evaluate impacts on human well-being. Although some ambiguities arise in determining whether overall consumption in the United States is excessive, our conclusions regarding the composition of U.S. consumption are unambiguous. Distorted consumption patterns and associated production methods lead to excessively rapid natural resource depletion; greater conservation would yield gains to current and future generations that more than compensate for the sacrifices involved. Public policies that deal with the composition problem not only would help conserve natural resources and improve current welfare but also would reduce the costs of meeting the goal of sustainability.