Structural and functional variations of phytoplankton communities in the face of multiple disturbances

The global decline of freshwater biodiversity caused by climate change and human activities are supposed to disrupt ecosystem services related to water quality and alter the structure and function of aquatic communities across space and time, yet the effects of the combination of these factors on plankton community ecosystem has received relatively little attention. This study aimed to explore the impacts of disturbances (e.g. human activity, temperature, precipitation, and water level) on phytoplankton community structure (i.e. community evenness and community composition) and function (i.e. resource use efficiency) in four subtropical reservoirs over 7 years from 2010 to 2016. Our results showed that community turnover (measured as community dissimilarity) was positively related to disturbance frequency, but no significant correlation was found between phytoplankton biodiversity (i.e. evenness) and disturbance frequency. Phytoplankton resource use efficiency (RUE = phytoplankton biomass/ total phosphorus) was increased with a higher frequency of disturbance with an exception of cyanobacteria. The RUE of Cyanobacteria and diatoms showed significantly negative correlations with their community evenness, while the RUE of Chlorophyta exhibited a positive correlation with their community turnover. We suggest that multiple environmental disturbances may play crucial roles in shaping the structure and functioning of plankton communities in subtropical reservoirs, and mechanism of this process can provide key information for freshwater uses, management and conservation.     

Pollutant toxicology with respect to microalgae and cyanobacteria

Microalgae and cyanobacteria are fundamental components of aquatic ecosystems. Pollution in aquatic environment is a worldwide problem. Toxicological research on microalgae and cyanobacteria can help to establish a solid foundation for aquatic ecotoxicological assessments. Algae and cyanobacteria occupy a large proportion of the biomass in aquatic environments; thus, their toxicological responses have been investigated extensively. However, the depth of toxic mechanisms and breadth of toxicological investigations need to be improved. While existing pollutants are being discharged into the environment daily, new ones are also being produced continuously. As a result, the phenomenon of water pollution has become unprecedentedly complex. In this review, we summarize the latest findings on five kinds of aquatic pollutants, namely, metals, nanomaterials, pesticides, pharmaceutical and personal care products (PPCPs), and persistent organic pollutants (POPs). Further, we present information on emerging pollutants such as graphene, microplastics, and ionic liquids. Efforts in studying the toxicological effects of pollutants on microalgae and cyanobacteria must be increased in order to better predict the potential risks posed by these materials to aquatic ecosystems as well as human health.     

Facilitating access to the algal economy: Mapping waste resources to identify suitable locations for algal farms in Queensland

Algae offer a multiple-benefit opportunity as the products that can result from algal cultivation are numerous and diverse. However, commercial production of algal-derived materials is scarce and in Queensland Australia is virtually non-existent, partly due to challenges around readily available resources. In this work, the potential to regionally recycle waste nitrogen (N), phosphorus (P) and CO₂ to support algal production is considered. A feature of the work is mapping the availability of the three resources for algal cultivation (N, P and CO₂) together with climatic and land use considerations. Mapping resolution is defined by the boundaries of Queensland's (Australia) regional authorities. Layering the maps enables identification of regional hotspots for growing algae. Waste resources are shown to be most abundant in Mackay, Burdekin, Toowoomba, Cassowary and Bundaberg; regions which also have favourable eco-climatic conditions. Waste nitrogen is the limiting waste stream, in these and most other regions however additional requirements can be fixed atmospherically, whereas waste CO₂ is shown to be abundant relative to waste nutrients. It is found that, based on the availability of waste phosphorus, the top 5 most suitable regions have sufficient resources to produce around 1.1 million t/y of algal biomass. This could potentially produce 309 ML of biodiesel which is 5% of Queensland's 2011 diesel oil sales. The outcomes of this work highlight new opportunities for industrial ecology in non-urban regions.     

汉江“水华”成因分析及防治

汉江是长江的最大支流,是陕西、湖北两省沿岸居民生活用水和工业用水的重要水源。随着沿岸人口的增加,工业的发展,排污量不断增加,使汉江水质逐年下降,于近几年多次出现水华。本文在调查的基础上,对汉江水华成因进行了分析并提出了防治措施,供有关部门参考。     

藻类抗毒性效应研究现状

污染物的毒性大小决定其在环境中的安全浓度，大力开展各类污染物对藻类毒性的研究，了解各种污染物在生态系统的迁移、转化及整体生态效应以及其生态风险评价无疑具有重要的理论意义和应用价值。本文综述了近年来我国在有机污染物对单种藻类和藻类群落的毒性效应的研究成果。     

藻类在污水净化中的应用及机理简介

利用藻类的吸收，富积和降解作用，可有效地去除污水中的重金属和营养盐，还能降解多种有机毒物，与传统的污水处理方法相比，它具有原料低廉，吸附容量大，无二次污染，良好的选择性等优点，近年来，国内外对这项经济有效的净化污水的生物技术进行了广泛的研究。本文介绍了藻类净化污水的机理及其国内外研究概况。     

柴油对3种海藻光合和呼吸作用的影响

通过实验室试验，以不同浓度的柴油海水乳浊液对３种海藻了培养，并在２，４，６ｄ等时间段观察了３种海藻的光合作用和呼吸作用的变化。结果表明，海带对柴油的抗性最强，其闪是裙采和甘柴菜。较低的柴油浓度可促进３种海藻的光合和呼吸作用，而较高的柴油浓度则抑制它们的光合呼吸作用。     

聚合氯化铝铁的形态分布对微污染源水混凝效果的影响

针对微污染源水中浊度、叶绿素a等的强化去除问题,研究了碱化度、铝铁比和加碱方式等对聚合氯化铝铁形态分布的影响,并考察了形态分布与混凝除污效率和混凝沉淀出水中残铝浓度的关系.结果表明:在铁摩尔分数一定时,混凝剂中单体、中等聚合物和无定形凝胶含量与碱化度存在线性相关性,并推导出中等聚合物含量的计算公式;在碱化度一定时,混凝剂中单体、中等聚合物和无定形凝胶含量与铁摩尔分数也存在线性相关性;增加碱化度或降低铁摩尔分数,可以增加中等聚合物含量、降低单体含量,从而影响混凝除污效率和混凝沉淀后出水中残铝浓度.混凝实验结果表明,混凝过程中叶绿素a去除率和浊度去除率均与混凝剂中中等聚合物含量存在线性相关性,但两者相关系数不同.混凝沉淀后出水中残铝浓度与混凝剂中单体含量存在线性相关性.因此,预聚合的无机高分子混凝剂对提高混凝过程中的除浊、除藻效率,降低混凝沉淀后出水中残铝浓度具有重要的意义.     

铁离子对滇池藻类生长的影响

有关氮、磷对滇池藻类生长的影响研究已有大量的报道.但关于铁离子对滇池藻类影响的研究还未见报道.以滇池藻样为对象,实验了不同铁离子浓度对滇池藻类生长的影响.结果表明,不同浓度范围铁离子对滇池藻类光合作用的促进或抑制是影响其生长的最主要因素.实验结果提示, 在控制湖泊藻类生长时,除了要注意控制氮、磷之外,还应考虑铁离子对藻类生长的影响.     

Microbial Removal of Arsenic

Bangladesh is currently the subject of the world's largest mass arsenic poisoning in history. Groundwater throughout Bangladesh and West Bengal is contaminated with naturally occurring arsenic from the alluvial and deltaic sediments that form the region's aquifers. It has been estimated that 75 million people are at risk of developing health effects associated with the ingestion of arsenic. This project focuses on the use of microorganisms such as bacteria and algae to remove arsenic from water. Arsenic in the arsenite form was used in the studies. Experiments were conducted with a common alga and wastewater bacteria. A common green algae Scenedesmus abundans was used for determining arsenic uptake in batch experiments. Results of the experiments indicated that the algae biosorption could be modeled by the conventional Langmuir isotherm model. Algae morphology studies indicated that the algae cells were impacted due to the presence of arsenic as evidenced by clumping or loss of cell clusters. The wastewater bacteria also were capable of high percent of arsenic removal. Results indicate that microbial uptake of arsenic may be a viable method of pretreatment of arsenic contaminated water. However algae and sludge disposal would pose a problem and will have to be dealt with accordingly.