城市污水除磷技术发展

磷是水体富营养化的一个主要限制因素，控制出水中磷的浓度尤其重要。污水除磷方法有生物除磷、化学除磷及生态除磷，也可将各种方法组合使用，如生物一化学除磷、生物一生态除磷等，实际应用中应根据具体情况选择适宜的除磷方法。     

TraK装置测定废水中的BOD_5

在对废水中的BOD5进行常规分析时,采用化学稀释法操作繁琐,对稀释倍数估计易发生错误。而利用TraK装置测试样品时,无须进行稀释和化学分析。用该装置对标准样品BOD5的测定结果表明:准确度相对误差为-3.3%～4.3%,精密度的相对误差为-3.5%～5.6%。该仪器测试性能可靠,数据准确度、精密度合格。与化学法对照分析表明,相对误差都在容许范围内,即在可接受范围内。     

水泥土搅拌桩的桩径分析

针对搅拌桩施工会引起周围土体的位移及产生很高的超静孔隙水压力的工程现象,首先分析了搅拌桩施工中固化剂的注入体积与膨胀压力、成桩直径的关系。结果表明,5%~10%的注入浆液的体积可以对周围土体产生1.8~3.0倍不排水抗剪强度的膨胀压力,成桩直径比搅拌叶片的名义直径大5%~10%。然后量测室内模型桩、现场搅拌桩的成桩直径,分析了注入浆液的体积与成桩直径的关系。结果表明,对于深度不太大的水泥土搅拌桩,有约45%的注入体积会通过上浮隆起的土体损失掉;大约5%的注入体积通过劈裂裂缝渗入到周围土体中;大约50%的注入体积会转化为成桩直径,使桩体膨胀5%~10%,即实测桩径比搅拌叶片的名义直径大5%~10%。     

生态示范区可持续发展灰色评估系统设计应用

介绍了如何在国家级生态示范区的可持续发展评估中运用灰色系统理论构建定量评估系统模型,并给出了关系型指标表、量纲模型、多元灰色预测模型和发展系数模型以及应用实例.根据该评估系统模型所开发的灰色评估系统由数学模型、计算机软件和硬件组成,可自动完成量纲统一、指标预测、相关分析、综合评估和趋势图表的运算和输出.     

厌氧-好氧一体化反应器处理高浓度有机废水的运行特性研究

本实验采用新型厌氧—好氧一体化反应器处理高浓度有机废水,主要研究了系统的启动与运行性能,并对系统的NH3 N去除效果作了初步考察。实验结果表明:在16℃～24℃的自然温度下,采用递增负荷、厌氧和好氧分期启动的方式,系统可在38天内达到较好的启动效果;在系统负荷运行期内,当系统总进水COD浓度平均值为3601 8mg/L,总出水COD浓度平均值为384 0mg/L,系统容积负荷平均值为2 54kgCOD/(m3·d),系统总HRT平均值为35 1h时,系统总COD去除率平均值达90 6%。实验还发现:当进水NH3 N浓度为280 3～350 7mg/L,整个系统的NH3 N去除率在68 5%～91 7%,平均为81 0%。由此说明,本反应器具有很好的COD去除性能和NH3 N去除效果,适合于处理COD浓度高且含有中等NH3 N浓度的有机废水。     

“Biological Windows”: A Tribute to W. Ross Adey

Summary We often do not realize how fast the time is running. It is now more than a year since the sad news for the death of William Ross Adey came. With kind agreement of Prof. Kostarakis my presentation at the 3rd International Workshop “Biological Effects of Electromagnetic Fields” was dedicated to the memory of this remarkable scientist, dear colleague and friend. I would like that this paper will be a tribute to the life and scientific achievements of Dr. Ross Adey. It is astonishing that among all his contributions in the field of Bioelectromagnetics, Dr. Adey introduced the term “window”.     

毛细管柱气相色谱法测定工作场所空气中的丙烯腈

为了建立采用毛细管柱测定工作场所空气中丙烯腈浓度的方法,使用活性炭管采集工作场所空气中的丙烯腈,二硫化碳溶液解吸,毛细管柱分离后,用氢火焰离子化检测器检测。结果显示:丙烯腈的检出限为0.73μg/ml,相关系数为0.9998,解吸效率94.3%～104.7%,相对标准偏差为0.41%～1.0%。因此,该方法灵敏度高、检测准确、操作性强,可提高丙烯腈的检测效率,适用于工作场所空气中丙烯腈的分析。     

Effects of productivity on biodiversity in forest ecosystems across the United States and China

In the global campaign against biodiversity loss in forest ecosystems, land managers need to know the status of forest biodiversity, but practical guidelines for conserving biodiversity in forest management are lacking. A major obstacle is the incomplete understanding of the relationship between site primary productivity and plant diversity, due to insufficient ecosystem‐wide data, especially for taxonomically and structurally diverse forest ecosystems. We investigated the effects of site productivity (the site's inherent capacity to grow timber) on tree species richness across 19 types of forest ecosystems in North America and China through 3 ground‐sourced forest inventory data sets (U.S. Forest Inventory and Analysis, Cooperative Alaska Forest Inventory, and Chinese Forest Management Planning Inventory). All forest types conformed to a consistent and highly significant (P < 0.001) hump‐shaped unimodal relationship, of which the generalized coefficients of determination averaged 20.5% over all the forest types. That is, tree species richness first increased as productivity increased at a progressively slower rate, and, after reaching a maximum, richness started to decline. Our consistent findings suggest that forests of high productivity would sustain few species because they consist mostly of flat homogeneous areas lacking an environmental gradient along which a diversity of species with different habitats can coexist. The consistency of the productivity–biodiversity relationship among the 3 data sets we examined makes it possible to quantify the expected tree species richness that a forest stand is capable of sustaining, and a comparison between the actual species richness and the sustainable values can be useful in prioritizing conservation efforts.     

Level of environmental threat posed by horticultural trade in Cactaceae

Ornamental horticulture has been identified as an important threat to plant biodiversity and is a major pathway for plant invasions worldwide. In this context, the family Cactaceae is particularly challenging because it is considered the fifth most threatened large taxonomic group in the world; several species are among the most widespread and damaging invasive species; and Cactaceae is one of the most popular horticultural plant groups. Based on the Convention on International Trade in Endangered Species of Wild Flora and Fauna and the 11 largest online auction sites selling cacti, we documented the international cactus trade. To provide an in‐depth look at the dynamics of the industry, we surveyed the businesses involved in the cactus trade in South Africa (a hotspot of cactus trade and invasions). We purchased seeds of every available species and used DNA barcoding to identify species to the genus level. Although <20% of this trade involved threatened species and <3% involved known invasive species, many species were identified by a common name. However, only 0.02% of the globally traded cacti were collected from wild populations. Despite a large commercial network, all South African imports (of which 15% and 1.5% were of species listed as threatened and invasive, respectively) came from the same source. With DNA barcoding, we identified 24% of the species to genus level. Based on our results, we believe that if trade restrictions are placed on the small proportion of cacti that are invasive and there is no major increase in harvesting of native populations, then the commercial trade in cactus poses a negligible environmental threat. However, there are currently no effective methods for easily identifying which cacti are traded, and both the illicit harvesting of cacti from the wild and the informal trade in invasive taxa pose on‐going conservation challenges.     

Defining the Impact of Non‐Native Species

Non‐native species cause changes in the ecosystems to which they are introduced. These changes, or some of them, are usually termed impacts; they can be manifold and potentially damaging to ecosystems and biodiversity. However, the impacts of most non‐native species are poorly understood, and a synthesis of available information is being hindered because authors often do not clearly define impact. We argue that explicitly defining the impact of non‐native species will promote progress toward a better understanding of the implications of changes to biodiversity and ecosystems caused by non‐native species; help disentangle which aspects of scientific debates about non‐native species are due to disparate definitions and which represent true scientific discord; and improve communication between scientists from different research disciplines and between scientists, managers, and policy makers. For these reasons and based on examples from the literature, we devised seven key questions that fall into 4 categories: directionality, classification and measurement, ecological or socio‐economic changes, and scale. These questions should help in formulating clear and practical definitions of impact to suit specific scientific, stakeholder, or legislative contexts. Definiendo el Impacto de las Especies No‐Nativas