超临界水中Ni/ZrO2催化气化聚乙烯醇水溶液的产氢特性

以追求产氢及降解有机污染物作为协同目标,利用一套连续式超临界水气化装置,在设定压力24MPa,反应温度400-500℃,反应停留时间20-120 s条件下,以Ni/ZrO2为催化剂考察了聚乙烯醇(PVA)水溶液的超临界水气化产氢特性.实验结果显示,催化剂Ni/ZrO2能有效促进PVA水溶液的分解产生富氢气体,气体产物中氢气的含量最高可达81.40%.过程探索发现:反应温度的升高能提高PVA气化效率,但气体产物中H2的含量随反应温度的升高有所下降;随着反应温度的升高,PVA分解趋于彻底,在压力24MPa、温度500℃、停留时间120 s的条件下,TOC去除率、有机碳气化率和氢气化率分别达到71.46%,67.97%和157.24%;停留时间的变化对气体产物含量没有明显的影响,但延长停留时间能提高PVA的气化效率;PVA气化反应中间产物主要为链状烷烃、环烷烃、芳香烃及小分子酸,根据中间产物出现的顺序推测PVA的降解为由C-C键断裂形成小分子物质,这些小分子物质一部分转化为H2,CO,CH4和CO2,一部分形成难降解的芳香族化合物.     

苯胺的超监界水氧化研究

苯胺的超临界水氧化表明,氧化剂H2O2、试验温度、压力和停留时间以及水样的起始TOC值对TOC的去除率有显著影响。在本试验中,选取了硫酸铜、硫酸铁、硫酸锰等金属盐进行苯胺的均相催化氧化试验研究,结果表明,这些金属盐对苯胺的氧化有不同的催化活性,筛选出硫酸锰和硫酸亚铁进行了进一步研究,以硫酸猛作催化剂为例,在450℃,28MPa,K＝1．1,pH＝4．0的条件下,当停留时间为46s时,TOC去除率达到100％。     

催化超临界水氧化偏二甲肼

采用CuO/γ-Al_2O_3和MnO_2/γ-Al_2O_3为催化剂,H_2O_2为氧化剂,在固定床反应器中进行催化超临界水氧化偏二甲肼实验.结果表明,CuO和MnO_2对偏二甲肼的氧化降解具有显著的促进作用.偏二甲肼的去除率随反应温度和压力的升高、停留时间的延长而提高.在24—26MPa、400—450℃条件下,数秒钟内COD去除率可达到99%以上.显示出催化超临界水氧化技术的高效性.催化剂CuO/γ-Al_2O_3的催化效果优于MnO_2/γ-Al_2O_3.进一步研究表明,偏二甲肼催化超临界水氧化为·OH引发的自由基反应,最终氧化产物为CO_2,N_2和H_2O.     

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.     

ZnO-MgO/Al2O3吸附-臭氧催化氧化处理难降解有机废水

以活性氧化铝为载体,采用浸渍法制备催化剂,对甲基橙及草酸模拟废水进行处理.在中性条件下,臭氧催化氧化比单独臭氧氧化能提前30 min使得甲基橙溶液褪色,反应105 min时,臭氧催化氧化对TOC的去除率高达96.53%,比单独使用臭氧氧化对甲基橙TOC去除率提高了47.19%,在处理草酸废水时臭氧催化氧化对TOC去除率高达80.59%,比单独使用臭氧氧化对草酸TOC去除率提高了59.14%.在处理甲基橙及草酸的小试实验中催化剂对有机污染物的吸附作用起到了加快反应进行的作用.在对垃圾渗滤液超滤出水时,O₃与COD质量比为1:1时,臭氧催化氧化对COD去除率为49.09%,比单独使用臭氧氧化提高36.37%,臭氧催化氧化对TOC的去除率是单独使用臭氧氧化的2.54倍,在处理垃圾渗滤液纳滤浓水时,臭氧催化氧化对COD去除率高达88.72%,比单独使用臭氧氧化提高37.60%,并且臭氧催化氧化对TOC的去除率是单独臭氧氧化的1.6倍.臭氧催化氧化反应过程中产生的羟基自由基对有机物更快的反应速率.     

废水中十六烷基三甲基溴化铵的光降解动力学研究

季铵盐类阳离子表面活性剂污染会对水生环境产生不利影响,研究了在紫外灯下以Fe3+为单一催化剂降解水体中阳离子表面活性剂十六烷基三甲基溴化铵(CTAB)的降解动力学规律.实验通过测定光降解过程中CTAB质量浓度的变化,研究了Fe3+质量浓度、溶液pH对CTAB降解的影响.初步测定了降解产物,探讨了降解机理.结果表明,CTAB光降解反应符合一级反应动力学规律,在溶液pH值为2.00～3.00时,一级动力学反应常数k受pH值、Fe3+质量浓度等影响,在0.032～0.180min-1之间变化,降解产物主要有HCOOH、CO2、NO-2等,当CTAB初始质量浓度为40 mg·L-1时TOC去除率在3 h达到32%.研究表明UV/Fe3+法可快速有效去除废水中季铵盐类表面活性剂污染物.     

Fe-Mn/AC催化湿式过氧化氢氧化间甲酚

采用等体积浸渍法制备了一种新型Fe-Mn/AC催化剂,应用于催化湿式过氧化氢氧化(CWPO)间甲酚废水.通过SEM和XRF表征了其表面形态结构和元素组成,通过穆斯堡尔谱分析了催化剂中铁离子的存在形态,结果表明,新型Fe-Mn/AC催化剂中的铁以二价铁、三价铁以及四氧化三铁的形式存在.通过正交实验考察了CWPO降解间甲酚的影响因素,结果表明,各因素对间甲酚转化率影响的大小顺序依次为:底物初始p H值反应温度反应时间催化剂投加量.通过正交实验得到CWPO降解间甲酚的最佳反应条件.当间甲酚浓度为100 mg·L-1、反应温度为40℃、反应时间为40 min、催化剂投加量为0.6 g·L-1及底物初始p H值为3时,间甲酚转化率为99.8%,TOC去除率为28.3%.气相色谱/质谱联用没有检测到中间产物,气相色谱检测到CWPO降解间甲酚中间产物主要为乙酸和丙酸.     

响应面法在催化湿式氧化降解异佛尔酮中的应用

以Ru/TiZrO2为催化剂,采用催化湿式氧化法降解异佛尔酮废水,选择反应温度、氧气分压、反应时间、催化剂用量、初始pH为影响因素,以TOC去除率为响应值,采用响应面法研究影响因素及其交互作用对响应值的影响,建立二次多项式回归方程模型,并采用后退回归法进行模型精简.结果表明,反应时间和反应温度及其交互作用对TOC去除率影响极显著(P≤0.01);反应时间的二次项对TOC去除率影响显著(P≤0.05).随着反应温度的升高和反应时间的延长,TOC去除率逐渐提高.最后对模型进行验证,实验值与预测值具有很好的一致性,说明模型具有可靠的预测性,将该模型应用到催化湿式氧化中合理可行.质谱和离子色谱检测到异佛尔酮的降解产物主要为有机酮与小分子羧酸,由此提出对反应机理和降解途径的假设.     

合成有机化学品的超临界水氧化

研究了超临界水氧化系统中合成有机化学品 ,如酚、间苯三酚、对叔丁基酚、间甲酚、3 ,5-二甲酚、苯胺、硝基苯、叔丁醇、三氯乙醛等的氧化作用。在实验条件下 ,上述化学品均能显著降解。酚和苯胺的去除随氧化剂过氧化氢加入量增加而增加。较优的K值 (实验中加入的H2 O2 量与按反应方程化学计量的量的比值 )对酚和苯胺分别为 1 .5和 1 .1。实验结果显示 ,当系统的压力为 3 0MPa ,温度为 4 50℃ ,停留时间为 1 90s,K =2 .0 (对酚 )和系统压力为 2 5MPa,温度为 50 0℃ ,停留时间为 3 0s,K =1 .2 (对苯胺 ) ,氧化效率都接近 1 0 0 %。含酚废水处理结果表明温度、压力、停留时间 3种因素中 ,温度是主要影响因素     

超临界水氧化去除含酚废水TOC的动力学研究

本文利用自行设计的一套连续式超临界水氧化实验装置,以过氧化氢为氧化剂,处理实验室模拟含酚废水。在超临界条件下(P=30MPa,T=400℃,440℃,480℃,520℃)进行超临界水氧化实验。结果表明,TOC去除速率在氧化剂过量10倍的情况下,对TOC是2.15级反应。速率常数与温度的关系符合阿仑尼乌斯公式。反应的实验活化能为171.7kJ/mol,前置因子A为2.99×1011。     

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).