人工湿地污水处理对三种植物光合作用及叶绿素荧光特性的影响

人工湿地环境下,湿地植物的光合代谢过程与陆生自然环境有较大的不同.通过对人工湿地三种中生植物即薏米(Coixaquatica Roxb)、文殊兰(Crinum asiaticum)和蜘蛛兰(Hymenocallis Americana)进行污水处理,研究人工湿地对植物的光合作用和叶绿素荧光特性的影响.结果表明:(1)与陆地自然环境相比,在人工湿地环境下,薏米,文殊兰和蜘蛛兰的净光合速率(Pn),蒸腾速率(Tr),气孔导度(Gs),叶绿素含量,最大荧光(Fm)和PSII最大光化学效率(Fv/Fm)均降低,而胞间CO2浓度(Ci)和初始荧光(Fo)升高.其中叶绿素含量,Fo和Fv/Fm在四月份生长旺盛期差异极显著(P<0.01),Gs差异显著(P<0.05).(2)在整个生长期,三种植物的光合参数和荧光参数的变化趋势不是单一的上升或下降,不同植物其变化过程和变化幅度也不一样.蜘蛛兰在生长旺盛期较薏米和文殊兰Pn,Gs,Fv/Fm,Fm,Fo大,而Ci较薏米和文殊兰低.可见人工湿地污水处理对三种植物光合作用和叶绿素荧光特性均有影响,但对各植物影响不一致.综合各项参数,蜘蛛兰耐性强于薏米和文殊兰.     

以鸟粪石的形式在污水处理厂回收磷的研究

磷既是一种不可再生的资源,也是造成水体富营养化的重要因素。近年来,随着磷资源的匮乏,从污水处理厂回收磷在世界各国逐渐兴起,而我国在这方面的研究还基本处于起始阶段。为此,在某污水处理厂进行了以鸟粪石形式回收磷的小试实验,考察了磷回收的一些控制参数,并将以此作为基础,继续深入研究。     

生物过滤氧化反应器处理焦化废水

针对钢铁厂焦化车间采用普通活性污泥工艺处理焦化废水 ,出水水质经常超标 ,且对冲击负荷适应力差的情况 ,使用生物过滤氧化反应器 (BIOFOR)工艺对废水进一步进行处理 ,运行结果表明 ,BIOFOR表现出良好的抗冲击负荷能力 ,对CODCr、NH3 N、SS、油类、酚、氰化物等主要污染物的去除率都分别为 6 4 7%、79 8%、76 6 %、5 2 1%、95 4 %、6 1 4 % ,出水水质高于GB8978 1996第二类污染物二级排放标准。     

蓬安城市污水处理工程设计

氧化沟工艺是目前城市生活污水处理的主流工艺之一,利用该工艺处理四川蓬安城市生活污水,出水达到了(GB8978-1996)《污水综合排放标准》的一级标准。本文介绍了该污水处理工程的污水水质及处理标准、处理工艺流程的选择、主要处理构筑物和设备、设计特点及处理效果、主要技术经济指标等,供污水处理工程设计人员参考。     

EDTA对2种芥菜型油菜幼苗富集Pb的效应

采用水培试验,研究了乙二胺四乙酸(EDTA)对Pb胁迫下2种芥菜型油菜(BrassicajunceaCzern.etCoss.)幼苗生长及富集Pb的效应.结果表明,单独用0.5和1.0mmol/LPb或EDTA处理可显著抑制植株的生长.与单独处理相比,Pb和EDTA复合处理可以降低各自的生物毒性.当Pb和EDTA等浓度复合处理时,植株生物量与对照植株无明显差异,说明游离态Pb或EDTA对幼苗具有毒害作用,而螯合态Pb-EDTA基本不具有生物毒性.EDTA处理促进Pb从根系向地上部运输,促进Pb在地上部积累.当c(EDTA)/c(Pb)为1/2时,地上部铅积累总量达到最高.随c(EDTA)的增加,根系铅积累总量反而下降.2个芥菜型油菜品种对EDTA的处理效应表现极为相似,生物量大的品种具有较高的Pb积累总量.      

火电厂清洁生产的可持续性分析与评估

从企业生态角度分析了火电厂清洁生产的可持续性;运用能值理论对火电厂清洁生产的可持续性进行了评估;以某发电厂采用清洁生产为实例进行了可持续性分析,结果表明:火电厂清洁生产的可持续性明显提高。     

磷酸铵镁法处理焦化厂高浓度氨氮废水

介绍了酸铵镁(magnesiumammoniumphosphate,MAP)法处理高浓度氨氮废水的技术,研究了药剂配比、反应pH值以及药剂选择等因素对氨氮去除率的影响。试验结果表明,当在剩余氨水中投加MgCl2·6H2O和Na2HPO4·12H2O药剂,Mg2+∶NH+4∶PO3-4的摩尔比为1.4∶1∶0.9,反应pH值为8.5~9.5的条件下,原水的氨氮浓度可由2000mg/L降到15mg/L。并通过对反应沉淀物的结构成分分析,探讨了MAP作为有效缓释肥开发利用的可行性。     

Resolving whether botanic gardens are on the road to conservation or a pathway for plant invasions

A global conservation goal is to understand the pathways through which invasive species are introduced into new regions. Botanic gardens are a pathway for the introduction of invasive non‐native plants, but a quantitative assessment of the risks they pose has not been performed. I analyzed data on the living collections of over 3000 botanic gardens worldwide to quantify the temporal trend in the representation of non‐native species; the relative composition of threatened, ornamental, or invasive non‐native plant species; and the frequency with which botanic gardens implement procedures to address invasive species. While almost all of the world's worst invasive non‐native plants occurred in one or more living collections (99%), less than one‐quarter of red‐listed threatened species were cultivated (23%). Even when cultivated, individual threatened species occurred in few living collections (7.3), while non‐native species were on average grown in 6 times as many botanic gardens (44.3). As a result, a botanic garden could, on average, cultivate four times as many invasive non‐native species (20) as red‐listed threatened species (5). Although the risk posed by a single living collection is small, the probability of invasion increases with the number of botanic gardens within a region. Thus, while both the size of living collections and the proportion of non‐native species cultivated have declined during the 20th century, this reduction in risk is offset by the 10‐fold increase in the number of botanic gardens established worldwide. Unfortunately, botanic gardens rarely implement regional codes of conduct to prevent plant invasions, few have an invasive species policy, and there is limited monitoring of garden escapes. This lack of preparedness is of particular concern given the rapid increase in living collections worldwide since 1950, particularly in South America and Asia, and highlights past patterns of introduction will be a poor guide to determining future invasion risks.     

Predicting Extinction Risk of Brazilian Atlantic Forest Angiosperms

Understanding how plant life history affects species vulnerability to anthropogenic disturbances and environmental change is a major ecological challenge. We examined how vegetation type, growth form, and geographic range size relate to extinction risk throughout the Brazilian Atlantic Forest domain. We used a database containing species‐level information of 6,929 angiosperms within 112 families and a molecular‐based working phylogeny. We used decision trees, standard regression, and phylogenetic regression to explore the relationships between species attributes and extinction risk. We found a significant phylogenetic signal in extinction risk. Vegetation type, growth form, and geographic range size were related to species extinction risk, but the effect of growth form was not evident after phylogeny was controlled for. Species restricted to either rocky outcrops or scrub vegetation on sandy coastal plains exhibited the highest extinction risk among vegetation types, a finding that supports the hypothesis that species adapted to resource‐limited environments are more vulnerable to extinction. Among growth forms, epiphytes were associated with the highest extinction risk in non‐phylogenetic regression models, followed by trees, whereas shrubs and climbers were associated with lower extinction risk. However, the higher extinction risk of epiphytes was not significant after correcting for phylogenetic relatedness. Our findings provide new indicators of extinction risk and insights into the mechanisms governing plant vulnerability to extinction in a highly diverse flora where human disturbances are both frequent and widespread. Predicción del Riesgo de Extinción de Angiospermas del Bosque Atlántico Brasileño     

Process analysis of an industrial waste-to-energy plant: Theory and experiments

Thermal conversion is fundamental in an integrated waste management system due to the capability of reducing mass and volume of waste and recovering energy content from unrecyclable materials. Indeed, power generation from industrial solid wastes (ISW) is a topic of great interest for its appeal in the field of renewable energy production as well as for an increasing public concern related to its emissions. This paper is based on the process engineering and optimization analysis, commissioned to the University Campus-Biomedico of Rome by the MIDA Tecnologie Ambientali S.r.l. enterprise, ended up in the construction of an ISW thermo-conversion plant in Crotone (Southern Italy), where it is nowadays operating. The scientific approach to the process analysis is founded on a novel cascade numerical simulation of each plant section and it has been used initially in the process design step and after to simulate the performances of the industrial plant. In this paper, the plant process scheme is described together with the values of main operating parameters monitored during the experimental test runs. The thermodynamic and kinetic basics of the mathematical model for the simulation of the energy recovery and flue gas treatment sections are presented. Moreover, the simulation results, together with the implemented parameters, are given and compared to the experimental data for 10 specific plant test runs. It was found that the model is capable to predict the process performances in the energy production as well as in the gas treatment sections with high accuracy by knowing a set of measurable input variables. In the paper fundamental plant variables have been considered such as steam temperature, steam flow rate, power generated as well as temperature, flow rate and composition of the resulting flue gas; therefore, the mathematical model can be simply implemented as a reliable and efficient tool for management optimization of this kind of plants.