类Fenton氧化在污染土壤修复中的应用

传统的Fenton氧化要在酸性条件下进行,使用传统的方法处理污染土壤会造成土壤生态环境的破坏.为了保护生态环境,在不改变土壤pH值的条件下,利用铁盐和铁的氧化物矿石作催化剂催化H2O2氧化去除土壤中的污染物.研究结果表明:不同的催化剂催化氧化去除污染物的能力不同,可溶态的亚铁盐和铁盐催化效果比不可溶的固态铁矿石要好,其中可溶态的硫酸亚铁催化反应的效果最好,反应60 min后,污染物的最大去除率能达到65%以上;不可溶的铁矿石中磁铁矿的催化效果比赤铁矿要好些,污染物的去除率能达到55%以上.     

不同生物质炭对辽河油田石油污染土壤总烃及各组分修复效果研究

中国东北油田开采区大量土地质量下降,石油污染治理与修复已经引起高度重视。通过对比各生物质炭理化性质差异及其对辽河油田石油污染土壤的修复效果,在修复石油污染土壤的同时,推进东北地区农业资源综合利用,对石油污染修复具有实际意义,对制备改性生物炭具有指导作用。以玉米(Zea mays)秸秆、芦苇(Phragmites australis)秸秆和松针(Pinusarmandi)为生物质材料在300℃条件下制备生物炭,测定其产率、灰分、pH值,并利用BET、能谱分析、扫描电镜和红外光谱等技术对不同生物质炭进行性质表征,通过40d的石油污染土壤修复试验对比不同生物质炭对总石油烃及各组分烃类的修复效率。结果表明,各生物质炭物化性状存在明显差异,松针生物炭扫描电镜呈层状结构,玉米秸秆生物炭具有孔状轮廓但孔隙内部覆有碎片,芦苇秸秆生物炭孔隙结构清晰且具有深度,比表面积为93.47 m~2·g~(-1)。经不同生物质炭40 d修复后,不同处理总石油烃及各组分烃类去除效果:芦苇秸秆生物炭玉米秸秆生物炭松针生物炭CK(对照组)。所有处理组中石油烃各组分的去除效果:饱和烃芳香烃非烃类物质,各组分烃类呈现不同降解规律。生物炭可提高石油污染土壤中总石油烃及各组分烃类物质的去除效果,其中芦苇秸秆生物炭对石油污染土壤的修复效率最高。     

Fenton试剂氧化法修复2,4-二氯酚污染土壤的研究

在泥浆体系中采用Fenton试剂氧化法修复2,4-二氯酚(2,4-DCP)污染的土壤.在恒温、避光条件下,研究2,4-DCP在泥浆体系中的解吸作用,并考察过氧化氢、硫酸亚铁、pH值、水土比、磷酸二氢钾、腐殖酸(HA)等因素对2,4-二氯酚去除效率的影响.试验结果显示,2,4-DCP在泥浆体系中有较高的解吸速率;2,4-DCP的解吸效率与水土比有关,水土比越大,解吸效率越高.研究表明:Fenton试剂氧化法能够有效地去除土壤中的2,4-DCP,过氧化氢和铁的最佳质量比为5:1,最佳pH值范围为2-3;水土比越大,2,4-DCP的去除效果越好;在pH=3时,磷酸二氢钾浓度、腐殖酸投加量和催化剂种类对2,4-DCP的去除效率影响很小.     

垃圾渗滤液的Fenton氧化预处理研究

采用Fenton氧化法对垃圾渗滤液进行预处理,考察了渗滤液初始pH值、H2O2和FeSO4.7H2O投加量、H2O2/Fe2＋投加的物质的量比及氧化反应时间等对Fenton氧化处理效果的影响,获得Fenton氧化处理垃圾渗滤液的最佳工艺条件：初始pH=3.0,H2O2投加量为5.0 mL.L-1,FeSO4.7H2O投加量为3.48 g.L-1,H2O2/Fe2＋物质的量比为4-1,反应时间为1.5 h。最佳条件下处理后垃圾渗滤液COD为5 220 mg.L-1,COD去除率达57.8%。凝胶渗透色谱和三维荧光光谱分析结果表明,垃圾渗滤液中主要含有腐殖酸类大分子物质,经Fenton氧化后降解变成小分子化合物。     

Fenton法和类Fenton法降解土壤中的二苯砷酸

本文对Fenton法与类Fenton法降解土壤中的二苯砷酸(diphenylarsinic acid,DPAA)进行了研究.考察了H2O2投加量和催化剂种类(Fe2+/Fe3+)对红壤及黑土中DPAA降解效果的影响,并采用高效液相色谱-质谱联用法(HPLC-MS/MS)对降解中间产物进行了初步鉴定.结果显示,针对红壤与黑土分别采用类Fenton法与Fenton法,在H2O2投加浓度为1 mol·L-1,含铁催化剂浓度为0.25 mol·L-1,土水比为1∶3,反应时间为1h的条件下,红壤及黑土中DPAA的降解率均可达到65%以上.HPLC-MS/MS的分析结果表明,DPAA可脱苯环形成降解产物苯砷酸(phenylarsinic acid,PAA),而PAA进一步氧化生成无机砷,这可能是Fenton/类Fenton法降解DPAA的途径之一.     

PbO2/Fe双阳极耦合促进焦化废水除碳脱氮

传统单个PbO_2阳极用于污染物去除存在降解效率较差、能耗高的问题,本文构建了PbO_2/Fe双阳极体系,通过耦合电氧化技术和电絮凝技术实现对焦化废水同步除碳脱氮.研究发现,双阳极体系下6 h电解使得化学需氧量(COD)和总氮(TN)去除率分别达到50.3%±6.2%和34.9%±4.2%,高于单PbO_2阳极体系(21.9%±3.4%和21.1%±5.3%)和单Fe阳极体系(11.0%±1.2%和12.1%±3.1%).COD和TN去除速度与施加在两个阳极上的电流大小直接相关.采用焦化废水中主要污染物如苯酚、硫氰酸盐、氨氮进行配水实验时发现,Fe阳极加入不仅起到了电絮凝作用,还可以促进氧化反应的发生,提高了反应速度.从体系中氯离子、pH变化情况及电子自旋共振光谱结果可推测,Fe阳极释放出来的Fe(Ⅱ)与PbO_2阳极氧化氯离子产生的ClO~-发生类Fenton反应,生成强氧化性物质作用于污染物氧化降解.     

Fenton氧化法处理生物性污染废水

采用Fenton氧化法对经化学混凝沉淀处理后的生物性污染废水进行深度处理,通过正交试验和单因素实验,研究H2O2投加量、溶液pH值、反应时间和H2O2/Fe2+2(摩尔比)四个主要因素对有机污染物去除效果的影响.实验结果表明H2O2投加量的影响明显高于其它三个因素,影响能力从大到小依次排序为:H2O2投加量＞溶液pH＞反应时间＞H2O2/Fe2+,反应的最佳工艺条件为:H2O2投加量为0.088mol.l-1,溶液pH值在3.5左右,反应时间为4h,H2O2/Fe2+为20:1.在此条件下,经Fenton氧化法深度处理后的出水细菌总数和三磷酸腺苷均未检出,保障出水的生物卫生安全性;同时其相对抑光率为10%,属低水平毒性.此外,其化学需氧量小于76mg·l-1,氨氮、总氮、总磷分别为1.10mg·l-1,2.92mg·l-1和0.002mg·l-1,出水满足<城镇污水处理厂污染物排放标准(GB8918-2002)>一级B标准.     

H_2O_2分次投加对Fenton氧化修复石油污染土壤及后续生物降解的影响

Fenton化学氧化和生物联合修复可以有效提高土壤有机污染物的去除效率.本文考察了H_2O_2分次投加对Fenton氧化过程中,土壤有机物(SOM)氧化量、石油烃(TPH)去除量、营养物质释放情况以及后续生物修复过程中的营养利用情况和修复效果的影响.结果表明,H_2O_2分次投加可以有效减少SOM的氧化、提高TPH去除率并能促进后续生物修复.实验发现,当900 mmol·L~(-1) H_2O_2分4次投加时,Fenton氧化阶段SOM氧化率最低(1.86%)、TPH去除率最高(32.14%),且土著细菌的残余量也最高(5.0×10~6 CFU·g~(-1)),这使得该体系营养物质在生物修复阶段得以充分利用,生物去除率高达38%,总TPH去除率达到70%,在4种投加方式下是最高的.H_2O_2分次投加的Fenton氧化方式是提高TPH去除率并促进后续生物降解的有效方法.     

超声去除土壤中石油污染物的效果

正石油污染土壤后,导致农田作物难以正常生长,并通过食物链影响到人类健康,故需要采取有效措施进行治理.近年来,有研究表明超声处理能促进石油污染物从土壤表面解吸,并随着超声功率的增加,黏土颗粒吸持的稠油显著下降[1],但超声空化作用对土壤中残油族组分的去除效果则鲜有报道.本文采用20 kHz低频超声处理模拟石油污染土壤,探讨不同超声能量和超声时间对残油族组分的去除率,为超声空化技术处理土壤中石油污染物提供依据.     

渗透反应格栅技术综述:填充材料实验研究、修复技术实例和系统运行寿命

渗透反应格栅(PRB)相对于传统的抽出处理技术是一种新兴的原位处理技术,在大多数情况下,它的运行不依靠外部力量或能源的输入,而是应用原位的地下水流来带动污染物与反应材料接触,最终将污染物去除.本文以地下水中六价铬(Cr(Ⅵ))去除为例,总结了PRB材料筛选过程;介绍了部分PRB场地应用实例,包括不同材料、结构类型、尺寸和PRB处理目标污染物的效果,及以零价铁(Fe0)为填充介质的PRB寿命研究现状.Fe0是实际场地PRB和实验室PRB材料研究中应用最广的材料.维持渗透反应墙的活性和渗透性能,是PRB能长期有效运行的重要条件.详细了解反应墙对污染物的去除机理,对于评价PRB的长期运行效果至关重要.     

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).