垃圾渗滤液原位反硝化研究

场外硝化-原位反硝化是垃圾填埋场氮管理的新途径.本文利用垃圾柱模拟生物反应器填埋场.研究了硝化渗滤液在填埋场内部的变迁及其对垃圾降解的影响.结果表明,硝化渗滤液回灌促进了填埋场垃圾降解,回灌的总氧化态氮(TON)被完全还原,反硝化为主要作用反应,最大TON负荷为28.6 mg(N)kg(TS)-1d-1.当负荷大于11.4 mg(N)kg(TS)-1d-1时,垃圾产甲烷受到抑制.抑制作用随负荷的增加而加强.在此过程中,反硝化逐渐代替产甲烷作用成为填埋场内垃圾降解的主要反应,产生气体以氮气为主,而非甲烷;硝化渗滤液与垃圾的长期作用也改变了填埋场的菌群结构.图5表1参18     

垃圾渗滤液中有机组分在混凝前后的变化

垃圾渗滤液是生活垃圾填埋场主要的二次污染物,其成分非常复杂,目前还不能对渗滤液中的有机物进行全面分析.研究表明,经生物处理后的渗滤液中的主体有机物是腐殖酸.腐殖酸经过前处理工艺后仍有很多不可降解,因此,它是渗滤液中最主要的长期性有机污染物,是使渗滤液不能达到排放标准的主要问题.     

利用矿化垃圾层预防和控制渗滤液导排系统堵塞

在卫生填埋场中,垃圾渗滤液导排系统堵塞普遍存在,悬浮固体形成的物理堵塞、有机物降解和金属离子沉淀导致的生物-化学堵塞是引起导排系统堵塞的关键因素.本文构建了"矿化垃圾+砾石层导排"的渗滤液下渗装置,通过矿化垃圾预处理渗滤液中悬浮固体和有机物以控制导排系统发生的物理和生物-化学堵塞.结果表明,在矿化垃圾层,渗滤液中化学需氧量(COD)和悬浮固体(SS)去除较多,去除率分别达到了85%和87%,并且Ca²⁺浓度也出现了波动较大的现象;然而,渗滤液在砾石层下渗过程中,其COD、SS和Ca²⁺浓度保持稳定.并且,砾石层可排水孔隙率在长期运行的过程中没有明显变化,表明渗滤液在砾石导排层没有形成明显的沉淀.与此同时,在没有添加矿化垃圾的对照组发现,砾石层可排水孔隙率减少最多的区段是渗滤液的进水点位(可排水孔隙率减少达到了53%),即渗滤液有机负荷最大处的饱和砾石层堵塞最为严重,其无机堵塞物主要是碳酸钙等.因此,在渗滤液流入砾石层前,采用矿化垃圾层部分饱和的方式对渗滤液中有机物和悬浮固体进行预处理,可以预防和控制渗滤液在砾石层形成沉淀堵塞.研究为填埋场的运行管理渗滤液导排系统堵塞提供了新的思路和方法.     

光照法处理垃圾渗滤液试验研究

采用直接光照处理青山垃圾填埋场和流芳垃圾填埋场的渗滤液,结果表明,直接光照处理4h,COD去除率分别为31%和18%,其主要原因在于青山垃圾填埋场中含有较多Fe和Cu等光催化物质及自身的光降解.直接光照对NH3-N和总-N的处理效果不佳.     

渗滤液难降解物质物化性质研究

渗滤液是生活垃圾处理过程的必然产物,经过近15年的研究,其产生机理和处理方法获得了一定进展,但随着<生活垃圾填埋场污染控制标准GB16889-2008>标准的实施,现有处理技术出水大都不能达标,特别是老龄渗滤液或经一定处理后的渗滤液尾水,其处理极限COD大约在300 mg·L-1以上.渗滤液难降解物质的表征可能是解决渗...     

垃圾填埋场渗滤液溶解性有机质特性及其去除技术综述

垃圾填埋场渗滤液所含物质种类繁多,理化特性复杂,且随填埋时间等条件而变化.本文综合分析了垃圾渗滤液溶解性有机质的组成特征、结构特征及随年代变化特征.针对垃圾渗滤液难降解有机质的特性而研发的处理技术包括物化法、高级氧化法和微电解法等,并在实际工程中得到应用.随着越来越严格的渗滤液排放要求,溶解性有机质的去除应充分考虑投资的经济、运行的稳定性和可靠性.     

城市垃圾填埋场抗生素抗性基因的污染特征

抗生素抗性基因是一种新型的环境污染物,为探究抗生素抗性基因在垃圾填埋场的污染特征,采集上海老港垃圾填埋场中固体垃圾和渗滤液样品,采用实时荧光定量PCR技术检测磺胺类抗生素抗性基因(sul1、sul2)、四环素类抗性基因(tetM、tetQ)、氨基糖苷类抗性基因(strB、aadA1)、大环内酯类抗生素抗性基因(ermB、mefA)、多重抗性基因(mexF)及I类整合子(intl1)等6类目标基因的丰度.结果显示,6类目标基因均在固体垃圾和渗滤液中检测到,丰度分别介于10~2-10~6、10~3-10~7/ng,且多重抗性基因、氨基糖苷类及磺胺类抗生素抗性基因检出丰度较高.在填埋场固体垃圾中,部分目标基因在1.5 m深处的丰度高于0.5 m深处;在渗滤液中,目标基因丰度和呈现老龄渗滤液大于新鲜渗滤液,部分目标基因在秋季的丰度大于春季.上述结果说明垃圾填埋场是抗生素抗性基因潜在的储存库,目标基因的丰度在垃圾填埋场中存在时空差异.(图8表2参41)     

活性污泥在渗滤液循环处理中的作用

渗滤液是垃圾填埋场产生的一种含有高浓度污染物的废水，它对环境造成的污染已经引起了人们的关注。渗滤液的处理方法很多，其中渗滤液循环法以其投资小、运行费用低、能加速填埋场稳定化进程等特点而倍受关注。利用活性污泥引入微生物，是在渗滤液循环基础上提出的一种新的设想，通过实验研究结果显示：加入干污泥循环可使渗滤液的COD由最高值2275mg／L降为67lmg／L．加入湿污泥循环可使渗滤液COD由最高值2075mg／L降为82lmg／L；而单纯进行渗滤液循环只使渗滤液的COD由最高值23llmg／L下降到l386mg／L。     

生物反应器填埋场稳定技术

通过模拟实验研究了污泥接种、回灌前对渗滤液进行加热、不同的渗滤液回灌频率对生物反应器填埋场稳定进程的影响。研究表明，污泥接种、回灌前对渗滤液进行加热、较高的环境温度均有利于生物反应器填埋场快速稳定，垃圾填埋前期较低的渗滤液回灌频率有助于生物反应器填埋场快速进入产甲烷阶段，后期较高的渗滤液回灌频率则有利于填埋垃圾较快稳定。     

垃圾填埋场渗滤液回流处理技术研究进展

垃圾渗滤液回流处理后，CODcr去除率最高达95％，在半好氧状态下NH3-N质量浓度降低至10mg/L几以下，渗滤液水质得到改善；渗滤液回流增加了湿度，使有机物的降解速率加快；渗滤液同流处产甲烷速率是不回流处产甲烷速率的2倍多：渗滤液回流处的总沉降幅度可达填埋场深度的20％，而不回流处仅为8％。回流处理技术分为直接回流至垃圾层、表面喷灌或浇灌至填埋场表面、地表下回流或内层回流技术。在填埋场处于产酸阶段早期，回流的渗滤液量宜少不宜多：在产气阶段则可逐渐增加。应将稳定化程度高的垃圾层区(产甲烷区)排出的渗滤液回流至新填人的垃圾层(产酸区)，将新垃圾层所产生的渗滤液回流至老的稳定化区。通过控制垃圾的组成、回流的时间、渗滤液的pH值等手段可改善回流处理效果。     

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).