人工湿地污水处理工艺与设计

人工湿地作为一种新型生态污水处理技术,在实际各取得了快速发展。为了适应我国对这一技术的迫切需要,文章结合作者的实践,较详细地介绍了目前人工湿地污水处理的工艺结构、基本设计方法及经济技术比较,以供有关科研、设计单位参考。     

生态住宅的水环境规划:I. 水循环

生态住宅已成为住宅建设的发展趋势和潮流,水环境是生态住宅小区的重要组成部分。文章以中信保利达美景度假区为实例,根据度假区建筑总体规划方案,结合当地自然条件和水环境现状,探讨生态住宅小区的水环境规划,全面统一规划住宅小区内各种水系统,提出小区水环境总体规划方案,充分发挥各系统的功能,使其相互衔接、协调与补充。重点对项目所在区域开发前后的水量平衡,水库的水位变化及其安全性,极端气候条件下的库区水量变化及其因应对策,高尔夫球道的用水方案以及项目开发后的水循环模型做了深入探讨,旨在为生态住宅的水环境建设提供范例。     

表面流人工湿地中氮磷的去除机理

人工湿地作为一种高效、低耗的污水处理新工艺已被广泛接受，特别是其在脱氮、除磷方面的应用逐步为人们所重视。本文深入地讨论了表面流人工湿地中各种生物、物理、化学过程对污水中各种形态含氮、含磷化合物的去除机理，及其具体途径、相关反应和反应类型，总结了国内外对各个过程影响因素、控制条件、反应速度、去除能力及相互之间协调拮抗作用的研究结果。虽然硝化／反硝化作用和土壤吸附沉淀作用已被公认为是表面流人工湿地脱氮、除磷的主要途径，但不同研究结果之间仍存在着明显差异，鲜有多介质环境条件下各种脱氮、除磷过程中多种氮、磷形态的质量平衡研究，而以此为基础的人工湿地生态动力学模型的研究则是深入了解人工湿地运行机理、设计和预测其处理效率，以及推动人工湿地污水处理工艺广泛应用的关键。     

几种植物在生长过程中对人工湿地污水处理效果的影响

不同的植物及植物的不同生长阶段对人工湿地系统污水处理效果都有影响。对几种华南地区常见的湿地植物在其不同生长阶段处理污水的效果进行了研究,采用了不种植物的沙滤系统作对照。结果表明:(1)植物生长过程中,植物高度能反映污水处理效果总体上的变化;(2)在植物的生长过程中,各人工湿地系统污水处理能力总体上持续增强,各水质指标pH、DO、TN、NH3-N、NO3-N、TP和CODCr等均呈下降趋势,其中TP和CODCr呈逐步下降,pH、DO、TN、NH3-N、NO3-N则呈现锯齿形波动,但总体上仍是下降过程;(3)植物系统氮处理能力好于无植物沙滤系统,而对磷TP和CODCr的去除则恰好相反;(4)不同植物对人工湿地污水的处理效果影响不明显。研究结果对探讨人工湿地污水处理规律和植物在人工湿地中的作用提供了新的科学依据,并为指导人工湿地工程的运行提供了参考。     

基于景观格局的辽河三角洲湿地生态安全分析

以1990年和2005年遥感影像为基本信息源,在GIS技术支持下,在对辽河三角洲湿地景观格局分析的基础上,采用破碎度、分离度、优势度等景观格局指数和景观类型脆弱度为评价指标研究辽河三角洲湿地景观生态安全。20世纪90年代以来大规模的资源开发,加剧了辽河三角洲湿地景观的破碎化程度,使景观优势度增高,多样性下降。从1990-2005年,研究区主要湿地景观类型水稻田、苇田、滩涂的干扰程度有所增加,生态安全度均有所下降,表明人类对自然湿地生态系统的干扰越来越明显。总体来说,15年来研究区整体景观生态安全度呈现下降趋势。以往湿地生态安全的研究主要集中在环境脆弱性和保护策略方面,研究层次着重在生态系统层面,而从景观格局角度对湿地景观生态安全的研究涉及较少,文章涉及的是景观生态学可持续发展研究的一个新领域,所提出的内容实质上是景观生态安全定量表征的方法探讨。应用景观生态学方法研究生态安全,揭示景观结构与功能关系并进一步分析区域生态环境的变化趋势及其内在因素,不但为辽河三角洲湿地及其生物多样性的保护和资源开发提供了科学依据,而且丰富和发展了我国生态安全研究的理论与方法。     

哈尔滨市绿地景观格局与过程的连通性和完整性

城市绿地景观的空间结构和生态过程的研究是城市景观生态系统研究的重要内容和基本特色之一．应用景观生态学原理，在遥感和地理信息系统(GIS)技术支持下对哈尔滨城市现有景观生态格局进行了研究和分析，认为主要存在以下景观生态问题：景观生态连通性低；景观结构单一；绿地面积少，且绿地空间分布不均衡．在现有景观格局基础上，哈尔滨市可望通过以下几个方面改善景观生态过程和格局的连续性：在景观生态战略点开辟新的绿色斑块；建立和完善生态化的水系廊道网络；建立城效绿化网络，连接绿地系统的点、线、面；增加城市绿地系统中的景观异质性和多样性；在城市扩展中维护景观生态过程与格局的连续性．图4表4参19     

贵州草海人工湿地系统硝化-反硝化作用研究

人工湿地作为新兴的污水生态处理技术在村镇污水处理中得到广泛使用,系统中氮去除的最主要途径是微生物的硝化-反硝化作用。研究湿地污水处理系统微生物硝化-反硝化作用,对湿地污水处理工艺的优化及运行管理具有重要意义。2013年分春、夏、秋、冬四季对贵州草海污水湿地处理工程进行采样,研究了长期运行的湿地污水处理系统中氮循环菌数量、硝化-反硝化作用时空分布特征和系统内氮的空间分布规律。结果表明,草海污水人工湿地处理系统对TP和COD的处理效果较好,去除率分别达到57.8%和80.8%,但对TN和NH_4~+-N的去除率仅为43.3%和38.6%;硝化-反硝化作用在草海人工湿地系统中同时发生,硝化作用强度为0.9 mg·kg~(-1)·h~(-1),反硝化强度为30.5 mg·kg~(-1)·h~(-1),反硝化强度是硝化强度的30倍;硝化-反硝化作用在季节上均表现为夏季最高、春季最低,水平空间上呈逐级降低趋势;硝化-反硝化作用强度与总氮去除率呈现显著负相关(P0.05);4类脱氮细菌中,氨化细菌数量最大,高达10~9 MPN·g~(-1),反硝化菌次之,亚硝化菌最低,仅10~2 MPN·g~(-1);脱氮细菌数量与总氮去除率相关性不显著,脱氮过程可能受亚硝化菌的限制。总之,由于长期运行的人工湿地系统缺乏氧气,导致反硝化作用远大于硝化作用,硝化-反硝化作用的失衡最终影响湿地脱氮效率。因此,针对长期运行的人工湿地系统可以通过强化供氧促进硝化作用从而提高湿地脱氮效果。     

生态住宅小区的水环境生态规划--以东莞"森林·湖"小区为例

生态住宅已成为住宅建设的发展趋势和潮流,水环境是生态住宅小区的重要组成部分.以东莞"森林·湖"生态住宅小区的建设为实例,探讨生态住宅小区的水环境规划,特别突出目前楼盘建设中缺少考虑的水环境生态综合技术、中水回用问题、开发进程中的水环境变化及其相应的生态策略,为生态住宅小区的水环境建设提供范例.     

近40年粤港澳大湾区湿地景观及其受损程度时空变化

湿地具有丰富的生物多样性、极高的生产力和生态价值。粤港澳大湾区湿地资源丰富,但随着社会经济的快速发展,湿地遭到城镇化、围垦和水环境污染等多种外界因素的干扰。利用1980—2019年5期粤港澳大湾区生态遥感解译数据,综合运用GIS空间分析和景观格局指数等方法分析粤港澳大湾区近40年来湿地景观时空变化及其受损程度。研究结果表明：1)1980—2019年,粤港澳大湾区湿地面积呈现增加的变化趋势,主要由人工湿地造成,人工湿地共增加1 752.55 km²,而天然湿地共减少688.98 km²,近10年天然湿地减少量明显变缓;2)粤港澳大湾区浅海水域、河流湿地和养殖塘湿地是优势景观类型,红树林、沿海滩涂、内陆滩涂、养殖塘和水库坑塘空间破碎度有所增加;3)湿地严重受损区域主要分布在广州、深圳和珠海,主要由建设用地、农田侵占湿地引起,40年间湿地转为城镇和农田的面积分别是762.73和178.71 km²。     

高盐污水处理人工湿地中耐盐植物的筛选

人工湿地作为一种新兴污水处理工艺,具有高效、低成本等优点,但因缺乏能够在高盐环境中生存的湿地植物,因此应用于高盐污水处理还存在诸多难题.基于对我国南方海岸及海岛的大量野外调查及文献调研,依据生理指标、形态指标、经济成本和应用潜力等,筛选出耐盐、耐水湿、耐污、净化能力强、生长快、生物量大、栽培简单、分布广泛并具有景观效果的南方滨海耐盐植物23种,进一步对每一种植物的耐盐能力进行分级,其中耐盐能力最强的种类为扁秆荆三棱(Bolboschoenus planiculmis)、海雀稗(Paspalum vaginatum)、川蔓藻(Ruppia maritima)、海马齿(Sesuvium portulacastrum)和盐地碱蓬(Suaeda salsa).本研究结果可为人工湿地的构建提供更多植物种类选择,并促进人工湿地可持续的净化功能与景观功能的有机结合.     

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).