厌氧好氧一体化生物反应器处理发酵废水的研究

采用新型厌氧好氧一体化生物反应器对发酵废水进行了中试处理研究.试验结果表明,系统总有机负荷最高可达到8.88kg(COD)m-3d-1,系统去除率稳定在88.10%~96.88%,说明反应器处理效率高,抗冲击能力强.反应器结构合理,利于保持丰富、高活性的微生物,反应器厌氧区颗粒污泥TS高达83.9gL-1,VS/TS为56.9%~57.4%,比产甲烷活性为280~350mL(CH4)gvss-1d-1;好氧区固定化微生物TS高达64.03gL-1载体,VS/TS为94.02%~94.30%.反应器各功能区对废水的降解过程分析,说明反应器厌氧区和好氧区一体化结构合理,可将废水逐级降解,从而保证整个系统的处理效果.图8表4参11     

微量金属对硫酸盐有机废水厌氧处理颗粒污泥活性的影响

采用厌氧反应装置,接种取自UASB反应器的硫酸盐有机废水厌氧处理颗粒污泥,以人工配制的含硫酸盐有机废水(蔗糖提供有机物)为原水,分别添加不同质量浓度的微量金属(Fe2+、Co2+、Ni2+),通过间歇试验,研究了不同质量浓度的微量金属(Fe2+、Co2+、Ni2+)条件下,厌氧反应装置中COD和硫酸盐的去除率及产甲烷情况。试验结果表明,在Fe2+质量浓度0~12 mg·L-1、Co2+质量浓度0~0.5 mg·L-1、Ni2+质量浓度0~0.6 mg·L-1范围内,厌氧颗粒污泥的COD去除率和产甲烷速率分别随Fe2+、Co2+、Ni2+浓度的增加而增高。在Fe2+质量浓度0~12 mg·L-1范围内,厌氧颗粒污泥对SO42-去除率随Fe2+浓度的增加略有增高,但在Co2+质量浓度0~0.5 mg·L-1、Ni2+质量浓度0~2.0 mg·L-1范围内,厌氧颗粒污泥的SO42-去除率分别随Co2+和Ni2+浓度的增加而降低。因此,在一定浓度范围内,Fe2+的投加能同时激活MPB和SRB,Co2+和Ni2+的投加能激活MPB但对SRB活性产生抑制作用,为硫酸盐有机废水厌氧处理提供一定的理论指导。     

硝酸盐生物氧化沼气硫化氢及微生物群落结构

沼气中的硫化氢(H2S)是一种具有腐蚀性的有毒气体,因此在使用前必须对沼气进行人工脱硫处理.以硝酸盐作为电子受体,设置两个反应器研究在不同沼气进气速率下微生物对H2S去除能力的影响,并分析厌氧污泥的菌群结构和关键微生物种群类型.结果表明在接种污泥的反应器A中,在低进气H2S负荷下,即沼气流速为0.5 L/min时,H2S的去除率在96%以上;在高进气H2S负荷下,即沼气流速为2 L/min、3 L/min和4 L/min时,H2S去除率在20%-35%之间.即随着沼气流速加快,气体停留时间缩短,H2S去除率逐渐下降.未接种污泥的反应器B前6 d H2S去除率逐渐升高,6 d后去除率逐渐下降.厌氧污泥中的微生物生化作用对H2S的去除率有显著影响.微生物群落结构分析结果表明,在反应器运行过程中污泥的微生物种类变化较小.厌氧污泥中微生物群落的优势门是变形菌门(Proteobacteria),优势属是硫杆菌属(Thiobacillus).Sulfurimonas在微生物群落中的相对丰度变化与H2S去除率的变化呈显著正相关.故Sulfurimonas可能是本反应系统中的主要脱氮脱硫菌.     

投加甲烷鬃菌对厌氧颗粒污泥培养的影响

通过在中温条件下向EGSB(Expanded Granular Sludge Bed,膨胀颗粒污泥床)反应器中加入竹节状甲烷鬃菌6Ac,研究其对颗粒污泥形成的影响以及形成的颗粒污泥性质和反应器运行的情况.在(35±1)℃下,利用实验室相同规模的反应器,对照组(R1)接种厌氧絮状污泥,R2组接种厌氧絮状污泥的同时加入甲烷鬃菌,培养颗粒污泥.结果显示:当有机负荷(以COD计)逐步提高到11.1 kg m-3 d-1时,R2的COD去除率达到85.9%,高于R1的75.0%.运行到第46天(d 46)时两个反应器均可观测到颗粒污泥,R2中污泥粒径大于0.1 mm的颗粒污泥已经达到62.3%,d 28-46时,0.1-0.3mm颗粒的比例从10.0%增加到49.8%,对照组R1只从10%增加到33.3%,仍主要以絮状污泥为主.研究表明,颗粒污泥培养过程中投加甲烷鬃菌有利于促进颗粒污泥的形成、增殖与稳定,改善其沉降性能,提高有机物的去除效果,加快EGSB的启动.     

厌氧氨氧化反应器研究进展

厌氧氨氧化是废水生物脱氮研究的新领域,厌氧氨氧化反应器影响厌氧氨氧化菌的富集、厌氧氨氧化过程的启动、运行的稳定性和处理效果,是其中十分重要的研究内容.本文根据厌氧氨氧化反应的基本特征,分析了反应过程对反应器的主要要求;通过对固定床反应器、流化床反应器、气提式反应器、上流式厌氧污泥床(UASB)等反应器的运行参数和运行结果的比较,分析了各种类型反应器的主要优缺点,并对反应器今后的发展方向提出了建议.表2参37     

厌氧-好氧一体式折流板反应器处理淀粉废水的启动运行

采用厌氧-好氧一体式折流板反应器,处理马铃薯淀粉废水,以淀粉废水排放口底泥作为接种污泥,可以实现快速启动。启动过程的结果表明:在温度为2 5℃～35℃,总水力停留时间(HRT)为5 4h ,容积负荷从0 .5kg/ (m3 ·d)逐渐升高到3.0 8kg/ (m3 ·d)时,第11d就将反应器启动成功,前3级厌氧反应器总的去除率达到75 % ,厌氧-好氧一体式折流板反应器总的去除率达到96 %。而后逐渐提高容积负荷,当容积负荷为10 .0kg/ (m3 ·d)时,COD去除率最高为96 % ,出水水质达到或接近国家污水排放二级标准(GB 8978- 96 )。     

硫酸盐废水生物处理产生的硫化物处理含Pb2+、Zn2+的钢丝酸洗废水

在一套小型搅拌反应器中,研究了碱沉淀(KOH,处理a)、碱沉淀及硫酸盐废水厌氧处理产生的硫化物出水混合(KOH+出水混合,处理b)、碱沉淀及N2吹脱硫酸盐废水厌氧处理产生的硫化物(KOH+N2吹脱,处理c),以及碱沉淀、硫酸盐废水厌氧处理产生的硫化物出水混合和N2吹脱硫化物联合(KOH+出水混合+N2吹脱,处理d)等4组处理方式对含Zn2+、Pb2+的钢丝绳酸洗废水处理效果的影响.废水pH值为0.7,Zn2+和Pb2+含量分别为450和3274 mg.L-1.结果表明,KOH+出水混合+N2吹脱的处理方式对废水有较好的处理效果,Zn2+和Pb2+的去除为氢氧化物、硫化物沉淀的共同作用结果,处理后,废水中Zn2+和Pb2+的去除率均达99.6%以上,满足污水综合排放标准(GB 8978—1996).     

脱氮硫杆菌对废水中硫氮的脱除

为脱除废水中高浓度的硫氮,首先对脱氮硫杆菌(Thiobacillus denitrificans)的生长曲线和驯化期间营养液pH的变化进行了测定,确定了脱氮硫杆菌合适的使用条件.然后检测了接菌后废水中的S2-浓度控制在400 mg/L时合适的硫氮比以及脱氮硫杆菌对NO3-的去除率.结果表明,处理富含硫氮的废水时,当硫氮比控制在5:3、S2-浓度控制在400mg/L时,脱氮硫杆菌对NO3-的去除率可达63.19%,同时S2-转化成硫酸盐或可回收的单质硫,使废水的硫氮污染得到了有效的控制.     

硫酸盐还原菌对酸性废水中重金属的生物沉淀作用研究

在小型连续搅拌槽式反应器（CSTR）中,研究了持续低pH条件下,硫酸盐还原菌的生物沉淀作用对人工配制酸性重金属废水的处理效果。试验设置反应器进水pH值依次为4-3,3．5和2．6三个处理,进水中Cu^2＋、Zn^2＋和Cr^3＋含量分别为65、36和10mg·L^-1,SO4^2-含量约为6200mg·L^-1,接种物为经耐酸驯化的混合硫酸盐还原菌,试验时控制水力停留时间为36h,通过定期测定反应器出水pH、氧化还原电位（ORP）、碱度、SO4^2、S^2-以及重金属含量变化等指标来考察废水生物沉淀的处理效果。研究结果表明：对于进水pH值为2．6～4.3的酸性重金属废水,硫酸盐还原菌的生物沉淀作用均有较好的处理效果。处理后,反应器出水pH值大幅升至6．5～8．0,碱度由起始的300～2000mg·L^-1增至7500-4600mg·L^-1,废水中S041-还原率达72％～80％,Cu^2＋和Zn^2＋的去除（沉淀）率达99．9％,Cr^3＋去除率达99．1％。此外,随着进水pH值由413降至2．6,反应器出水pH和碱度均呈现逐步下降的趋势,而S04}的生物还原和重金属的去除效果变化不大。从反应器运行稳定性考虑,控制酸性重金属废水的进水pH值为3．5较适宜今后的实际应用。     

折流式厌氧反应器（ABR）的研究进展

随着对厌氧消化机理研究的不断深入和各种高效厌氧反应器的飞速发展 ,废水的厌氧生物处理技术已经成为资源和环境保护的核心技术之一[1] .ＵＡＳＢ是荷兰Ｗａｇｅｎｉｎｇｅｎ农业大学的Ｌｅｔｔｉｎｇａ等人于 70年代开发的一种高效厌氧反应器 ,目前已经广泛的应用于生产实践 .ＵＡＳＢ的成功极大的促进了其它高效厌氧反应器的发展 ,折流式厌氧反应器 (ＡｎａｅｒｏｂｉｃＢａｆｆｌｅｄＲｅａｃｔｏｒ,简称ＡＢＲ)正是在ＵＡＳＢ基础上开发出的一种新型高效厌氧反应器[2 ,3] .下面将介绍ＡＢＲ反应器废水处理工艺的原理、特点以及国内外研…     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).