模拟日光-非均相Fenton光催化降解喹啉

以铝-分子筛(Al-MCM-41)为载体,采用加热回流法制备一种非均相芬顿催化剂还原氧化石墨烯-羟基铁/Al-MCM-41(r GO-Fe OOH/Al-MCM-41).以喹啉模拟有机废水,考察该催化剂在不同氧化体系、不同H_2O_2投加量、不同催化剂投加量和不同水质因素(喹啉初始浓度和p H值)条件下对喹啉降解效能的影响,同时考察了催化剂的重复使用性.结果表明,喹啉的光芬顿降解过程符合准一级反应动力学,降解过程中溶液中的NO-3浓度先升高后下降,表明喹啉的吡啶环被打开.对比芬顿反应,模拟日光芬顿反应中光的引入促进羟基自由基的产生,使得喹啉去除率由45%提高到了99%;喹啉降解速率随着催化剂和H_2O_2投加量的增加而升高,但投加量过多会消耗·OH自由基从而抑制喹啉降解,在光芬顿体系中,该催化剂在p H=3.6—9.6的范围内都表现出了很高的活性;当喹啉初始浓度为20 mg·L~(-1),催化剂投加量为0.5 g·L~(-1),H_2O_2投加量为20 mmol·L~(-1),p H=6.3时,该催化剂对喹啉有很好的矿化效果(TOC去除率为3%).催化剂重复使用性能稳定,重复使用5次喹啉去除率仍高达99%,但TOC去除率略有降低,铁溶出率为0.48%以下.     

分子筛负载Fe3+可见光协助降解有机污染物

通过NaY型分子筛负载Fe3 制备异相Fenton催化剂(FeY),采用FeY在可见光(λ＞420 nm)照射下研究其降解染料罗丹明B(RhB)和2,4-二氯苯酚(DCP).通过对RhB降解过程的紫外-可见光谱、ESR和红外光谱分析,以及总有机碳量(TOC)的跟踪测定,FeY/H2O2体系在可见光照射下能有效地降解RhB,降解反应主要涉及到·OH自由基的产生和参与.RhB/FeY/H2O2体系在可见光照射下,反应270min,RhB脱色率达到100%,TOC去除率达75.6%.DCP/FeY/H2O2体系在可见光照射下,反应150min,DCP降解率达81.0%.利用酶催化反应米氏方程测定催化剂的活性,FeY催化常数Kcat=2.28×105 mol·l-1·min-1.     

酞菁锌改性介孔分子筛催化降解孔雀石绿

以介孔分子筛MCM-41为载体,采用浸渍法将1,4,8,11,15,18,22,25-八环戊氧基酞菁锌(α-CyOPcZn)负载到分子筛上得到了一种新型的催化剂CyOPcZn/MCM-41.并通过氮气吸附、红外光谱扫描及电镜扫描对催化剂的结构进行表征.考察了该催化剂的用量、H2O2浓度对孔雀石绿降解作用的影响.实验结果表明,在模拟可见光照射下,当催化剂用量0.6 g.L-1、H2O2浓度为0.1 mmol.L-1时,60 min后使0.1 mmol.L-1的孔雀石绿水溶液的脱色率达到98.6%,并呈现出一级反应的动力学特征,速率常数k为0.0891 min-1.催化剂重复使用3次后,脱色率可达96%以上.     

Ce-MCM-41分子筛用于臭氧氧化对氯苯甲酸的活性评价

通过水热法合成了铈掺杂MCM-41(Ce-MCM-41)介孔分子筛,并将其用于臭氧氧化水中对氯苯甲酸(p-CBA).小角X射线衍射(XRD)、氮气吸附-脱附(BET)、紫外可见漫反射光谱(UV-Vis DRS)、透射电镜(TEM)表征结果表明,铈成功进入MCM-41分子筛骨架,以正四面体形式存在,且Ce-MCM-41保持了纯硅MCM-41有序的介孔结构,具有较高的比表面积;铈的掺杂显著提高MCM-41催化臭氧氧化对氯苯甲酸的活性,反应60 min后,TOC去除率由MCM-41的63%提高到86%(Si/Ce=60),而单独臭氧氧化仅为52%;铈的溶出仅为0.085 mg.L-1,较同样负载量的铈负载Ce/MCM-41的溶出(0.44 mg.L-1)有较大减少.催化剂重复使用3次后仍保持较高的活性,这表明Ce-MCM-41具有较好的活性和稳定性,是一种有前景的臭氧氧化催化剂.     

碱性条件下日光/FeEDTA/H2O2降解2,4-二氯苯酚的研究

采用日光/FeEDTA/H2O2体系降解2,4-二氯苯酚废水,探讨了pH值,H2O2,FeEDTA以及2,4-二氯苯酚初始浓度对2,4-二氯苯酚去除率以及CODCr去除率的影响,发现该体系可在较宽的pH范围(pH=2-11)降解2,4-二氯苯酚.碱性条件下(pH=9)对250mg·l-1的2,4-二氯苯酚废水,最佳处理条件为:[H2O2]=30mmol·l-1,[FeEDTA]=0.5mmol·l-1,此条件下,反应2h后,2,4-二氯苯酚的去除率高达99%,CODCr去除率达91%.另外,通过对传统Fenton,FeEDTA,草酸铁以及柠檬酸铁四种Fenton体系的对比研究,发现FeEDTA体系在碱性条件下处理2,4-二氯苯酚废水具有明显的优势.     

Fe0.5Zn0.5Al2O4 尖晶石催化剂催化湿式氧化降解苯酚的稳定性

研究了Fe0.5Zn0.5Al2O4尖晶石型复合氧化物催化剂在催化湿式氧化处理苯酚废水中的性能.结果表明,在150℃下苯酚就能完全被去除,COD去除率达到94%.催化剂中铁的溶出量随着反应时间的增加经历了一个先增加后减小的过程;而且最终出水铁离子浓度随催化剂用量、氧分压、苯酚溶液pH值的增加而减少,随苯酚浓度的增加而增加.     

钴负载MCM-41分子筛催化臭氧氧化水中氯代苯甲酸

通过水热法合成介孔分子筛MCM-41,采用等体积浸渍法制备了Co负载MCM-41分子筛催化剂(Co/MCM-41).小角X-射线粉末衍射(XRD)、紫外-可见漫反射光谱(UV-vis DRS)、N2吸附-脱附等温线及透射电镜(TEM)等对催化剂的成分、结构的表征结果显示,Co/MCM-41保持了纯硅MCM-41有序的介孔结构,钴元素以钴氧化物形式存在,比表面达到772 m.2g-1.将Co/MCM-41分子筛用于催化臭氧氧化水中对氯苯甲酸(p-CBA)的研究,结果表明,在优化条件下(2%负载量和25℃反应温度),催化剂的加入显著改善了TOC去除率,达到84.6%,是单独臭氧氧化的1.6倍.     

Pd-Fe/C催化氯酚还原脱氯-氧化联合降解

以Pd和Fe为活性金属组分通过沉积沉淀法制备了负载型Pd-Fe/C双金属催化剂,针对氯酚类污染物进行催化还原脱氯和催化氧化的连续降解处理.通过ICP-MS、XRD和TEM对催化剂进行表征,证实0.5%Pd-0.5%Fe/C催化剂中活性金属组分Pd和Fe在载体表面分散性最好,催化剂比表面积达到718.8 m~2·g~(-1).在温和条件下,以水作为反应介质,研究了负载型Pd-Fe/C催化剂对4-氯苯酚(4-CP)和2,4-二氯苯酚(2,4-DCP)的连续降解过程和反应条件,以及催化剂的重复使用情况.考察了Pd和Fe的负载量及p H值对催化剂活性的影响,得到了最佳反应条件,以0.5%Pd-0.5%Fe/C为催化剂,20 min内完成4-CP和2,4-DCP的催化还原脱氯,产物都为苯酚;之后加酸调节pH=5,并加入H2O2继续进行催化氧化,苯酚被彻底降解为H_2O和CO_2,而且转化率在60 min内可以达到97.5%以上,从而实现4-CP和2,4-DCP的彻底降解.     

MCM-41介孔分子筛水热结构稳定性对介质阻挡放电脱除甲苯的影响

采用介质阻挡放电(DBD)和MCM-41介孔分子筛结合脱除甲苯,考察了MCM-41介孔分子筛水热结构稳定性与甲苯脱除的关系.XRD表征显示,通过水热合成制备的纯硅MCM-41(Si- MCM-41)和含铝MCM-41(Al-MCM-41)介孔分子筛都具有典型的六方介孔结构,结晶度良好.水热结构稳定性实验显示纯硅MCM-41介孔分子筛的结构最稳定,结晶保留度最高,而含铝MCM-41介孔分子筛则随铝含量的上升结构稳定性下降.介质阻挡放电脱除甲苯实验结果显示,甲苯转化率与MCM-41介孔分子筛水热结构的稳定性保持一致,纯硅MCM-41介孔分子筛脱除甲苯的效率最高.     

过渡金属Fe、Co、Ni介孔分子筛MCM-41催化剂的制备及其氧化性能

本研究用直接法和后处理法合成了不同过渡金属(Fe、Co、Ni)负载的介孔分子筛载体材料MCM-41,并利用Al对分子筛进行了改性,制备了Fe/Al复合催化剂,对上述材料进行了表征.研究了这些非均相催化剂对染料活性艳蓝KN-R的催化氧化脱色,分别研究了催化剂制备方法、过渡金属种类及负载量对KN-R脱色效率的影响,并考察了所制得催化剂的稳定性和重复利用性.结果表明,直接法合成的催化剂具有较高的催化性能及较低的金属溶出量,负载铁(Ⅱ)的催化剂对染料的催化降解性能要远高于钴(Ⅱ)和镍(Ⅱ)负载型催化剂,催化氧化活性随金属负载量的提高而显著升高.Al改性进一步提高了催化剂的活性,在pH=2.5,氧化剂H_2O_2投加剂量为50.0 mmol·L~(-1),催化剂剂量为4.0 g·L~(-1)的条件下,反应30 min,对初始浓度为250 mg·L~(-1)的KN-R染料的脱色率均可达95%以上,矿化率达60%以上.当Al/Si为0.21,Fe负载量为23.6 mg·g~(-1)时,在10 min内可将250 mg·L-1的KN-R完全脱色.经过3次循环使用后,上述催化剂仍能表现出良好的性能,但进一步循环使用,催化活性下降.     

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).