转化高新技术促进烟气脱硫技术发展

文章综述了国内烟气脱硫技术及设备发展的历程和现状，分析了引进国外全套烟气脱硫技术装置对国内用户所造成的巨大经济压力，提出走转化高新技术发展国内烟气脱硫技术的道路，介绍了国内外脱硫技术与国内技术相结合，在天津市重点工程项目上实施的实例。     

两种粉煤灰的烟气脱硫实验

采用粉煤灰(FA)和Ca(OH)2水合制得的高活性吸收剂作为二氧化硫的干法脱硫剂，重点研究了两种粉煤灰(电除尘灰和湿式水膜除尘灰)在同一配比、同一水合温度、同一水合时间下的脱硫效率，结果表明：电除尘灰比湿式水膜除尘灰脱硫效率高，并且电除尘的脱硫效率略微低于活性炭，同时介绍了粉煤灰的脱硫机理。     

制备条件对Fe/AC脱硫活性的影响

考察了Fe/AC脱硫剂的煅烧温度和载铁量对脱硫活性的影响，并对脱硫剂进行了X－射线衍射（XRD）和EXAFS表征，结果表明：经250℃煅烧的Fe/AC脱硫剂具有最高的脱硫活性，200℃煅烧，前驱体未完全分解，高于250℃煅烧，会使活性组分聚集，二者均导致脱硫活性降低。Fe/AC脱硫剂适宜的载铁量为3．5－14％，大于14％担载量使脱硫剂微孔堵塞严重，致使其脱硫活性下降。     

轻质油清洁化—脱硫研究进展

从加氢精制，氧化脱臭，吸附脱硫，生物脱硫，光化学反应脱硫五个方面介绍了国内外轻质油品脱硫工艺和技术研究进展，并阐述了这些方法的特点，原理及脱硫性能。     

喷雾分离脱硫过程中传热传质的数值研究

研究了SO2的吸收反应机理；重点采用数值模拟的方法分析讨论了各项参数对脱硫效率的影响规律。结果表明，液滴粒径、烟气流速、SO2入口浓度、液气比是影响脱硫效率的敏感参数。     

生物燃气生物脱硫技术研究进展

生物燃气具有清洁、高效、安全和可再生四大特征,在替代和补充天然气方面具有巨大潜力,正成为我国新能源战略的拓展方向之一.生物燃气的高值利用是推进产业化应用的重点,脱硫环节直接影响设备运行、产品品质和工程质量.与传统的脱硫工艺相比,生物脱硫具有效率高、无二次污染、处理成本低等优点,是新的研发热点和产业化应用方向之一.本文综述了生物燃气生物脱硫的基本原理、主要菌种、工艺过程、工程案例等最新研究与应用情况.重点对化能营养型硫细菌的生理生化特性及其脱硫性能进行了综合比较分析,并对它们基于生物洗涤塔原理的两段式沼气脱硫工艺的应用案例进行剖析.最后,对我国发展生物脱硫技术和工程应用提出了深入研发高效工艺、实现生物燃气产业化的建议.     

燃煤全过程脱硫技术

从国内实际出发，开发了一套高效、价廉、以废治废的燃煤全过程脱硫技术，并对其机理做了详细的研究。     

一步法烟气浸锰-脱硫的工艺参数及机理

应用一步法烟气浸锰-脱硫的新工艺,考察烟气流量、烟气SO2浓度、吸收时间、液固比及浸出时间等工艺参数对烟气氧化脱硫效果的影响,并运用溶液化学原理,对SO2及Mn2 在溶液中的组分进行了计算,研究Mn2 液相催化氧化烟气脱硫的机理.在吸收液pH值5-6时,锰主要以Mn2 形态存在,Mn2 的存在强化了从HSO-3开始发生的SO2氧化反应.采用菱锰矿为原料,能有效地脱除含SO2烟气中的硫,在实现烟气脱硫的同时自动调节溶液的pH值,并可从浸出液中回收高价值的硫酸锰.在最佳的工艺条件下,仅一步吸收过程,取得了锰浸出率85%,含SO2烟气脱硫率70%以上的效果.     

燃煤烟气脱硫副产物的重金属环境行为

通过理化分析、盆栽生物试验及土壤淋溶试验，探讨了脱硫副产物的重金属农业环境行为。结果表明：燃煤烟气脱硫副产物中的总Pb、Cd、Cr、As、Se、Ni、Cu等指标，基本上都低于国标最高容许量和土壤环境质量二级标准，符合国家控制标准，但普遍高于土壤自然背景值含量。8～10g／kg土的供试物量处理，花生、萝卜、甘蔗和水稻的可食部分重金属均无超常累积现象，未导致农产品重金属的富集残留污染，不影响农产品安全品质。在表土层供试物量达到40g／kg条件下，土壤淋溶试验结果表明，施脱硫副产物未导致土壤淋滤液重金属污染，不可能通过降雨淋溶过程，渗透过1m左右的土层而污染地下水源。     

花生施用燃煤烟气脱硫副产物研究初报

主要研究了施用燃煤烟气脱硫副产物（石膏和粉煤灰）对花生性状的影响。结果表明,在广东浅海沉积砖红壤上,施用脱硫副产物对盆栽花生出苗、根系及其营养生长、花生花针生长发育等均产生一定的抑制作用;抑制程度与脱硫副产物施用量有关。但在添加1%、5%、10%的脱硫副产物条件下,花生根瘤数量及质量均比不施脱硫副产物的处理有成倍地增加,若添加量达到20%则会对根瘤生长繁殖产生明显的抑制。施用脱硫副产物提高了花生的产量,在施用量达到土壤质量1%的条件下,花生获得最高产量,且根瘤生长繁殖受到促进,故该施用量是该实验的最优处理。     

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).