基于15N质量平衡法研究养殖消化废水中氨氮的去除机理

为避免养猪场消化废水对环境造成的污染,利用微藻去除消化废水中营养物质的二次处理方法受到了广泛关注。采用¹⁵N质量平衡法研究了鞘藻去除氨氮的主要机理,重点研究了鞘藻生长与氨氮去除的关系以及氨氮去除的主要途径。经高压灭菌后的消化废水在鞘藻培养期的氨氮去除率为96.2%,鞘藻特定生长率为0.04~0.15;稀释后的原消化废水氨氮的去除率为94.1%,鞘藻特定生长率为-0.14~0.13。通过曝气的汽提效应对氨的去除有显著的促进作用,尤其在高pH值试验条件下更有利于脱氨。¹⁵N同位素质量平衡分析表明,原始消化废水中存在的细菌对氨氮的去除影响小,在鞘藻培养期去除原消化废水中氨氮的主要途径是鞘藻的吸收和气体的损失,分别占总氮量的40.97%和32.59%。氨氮的去除与主要影响因素间的回归和通径分析表明,要提高氨氮去除率,需要提高鞘藻Chl-a含量和DO浓度,同时限制或保持pH值在弱碱性状态。     

Fertilizers and eutrophication in southwestern Australia: Setting the scene

An excess of plant nutrients has caused serious eutrophication in aquatic ecosystems of southwestern Australia manifested by excessive growth and accumulation of green and bluegreen algae. Phosphorus is generally the limiting nutrient for algal growth and phosphatic fertilizers applied to nutrient-deficient, leaching, sandy soils are the main source of P, supplemented by rural industry point sources. Nitrogen is the limiting nutrient in marine embayments with little drainage from the land. Measures to reduce the load of P delivered to drainage include basing fertilizer application rates on soil testing for P and the use of less soluble P fertilizers. Catchment management plans are being implemented with community involvement to reduce P loads and maintain agricultural production. This introductory paper reviews the history of eutrophication in southwestern Australia and of studies into its causes, principally in the large Peel-Harvey estuary. It briefly summarises other papers in this special issue concerned with different aspects of the problem: how to fertilize the land without causing eutrophication.     

基于动态朴素贝叶斯分类器的明渠水华风险评估模型

水华风险不仅是水利工程规划时需要考虑的环境问题,也是水利设施运营时不能忽视的监测项目。为了提高明渠水化风险等级预测的准确率,针对水华成因的不确定性和发展的时序性,基于动态朴素贝叶斯网络分类器提出一种应用于明渠的水华风险评估模型。模型用水华风险等级结点对应藻叶绿素a(Chla)的浓度,并考虑了9项影响水藻生长的因素。采用主成分分析法,处理专家咨询结果,进行参数的设计。在苏州河道北门桥2011年6月初至9月初观测的53例连续监测数据上,与基于朴素贝叶斯网络分类器的评估模型进行比较实验。混淆矩阵显示对中等风险情况的预测识别率提高了15.625%,单尾配对t检验表明在显著性水平0.05时,两模型预测识别率差异显著。考虑了时序特征的基于动态贝叶斯网络分类器的评估模型对明渠中等水化风险的预测识别率提高显著。     

不同预氧化剂对铜绿微囊藻细胞的灭活

为比较不同预氧化剂对藻细胞的处理效果及其机理,在高锰酸钾灭活藻细胞研究的基础上,采用次氯酸钠与臭氧对铜绿微囊藻进行灭活实验.结果表明:次氯酸钠和臭氧对藻类的灭活反应均符合二级动力学模型;次氯酸钠较易引起铜绿微囊藻细胞萎缩破裂,从而导致细胞内代谢有机质的释放,对藻细胞的灭活动力学常数为(220±3)L·mol-1·s-1,不同初始次氯酸钠浓度对动力学常数无明显影响;臭氧对于铜绿微囊藻细胞有极强的氧化作用,细胞灭活速率常数达(2 655±15)L·mol-1·s-1,能迅速引起藻细胞破裂及胞内代谢有机质的释放,不同初始臭氧浓度对动力学常数无明显影响.3种氧化剂对铜绿微囊藻细胞的灭活速率由大到小依次为:臭氧次氯酸钠高锰酸钾.电镜扫描结果显示,臭氧与次氯酸钠在氧化过程中比高锰酸钾更易引起藻细胞破裂及IOM的释放.     

大沙河水库富营养化及蓝藻水华特点分析

依据近几年来大沙河水库水质监测和水生态调查的成果资料,通过对大沙河水库水质现状,富营养化程度和蓝藻水华特点的分析评价,总结了大沙河水库蓝藻水华呈现持续爆发,偶尔消退的特点。进一步评估了水华发生风险,分析了水库污染的原因,提出了保护和治理建议。     

河道型水库富营养化及水华调控方法和关键技术

本文提出了河道型水库富营养化及水华调控的系统研究方法,重点探讨了水利水电工程影响下的河道型水库富营养化及水华监测、模拟及调控方法及关键技术,包括流域水环境监测评估与水华预警系列技术,大型水库多维、多场耦合富营养化模拟系统,以及改善河道型水库支流库湾水温层化进而抑制水华暴发的调控方法等,以期为抑制河道型水库支流库湾水华暴发、改善水库水质提供参考和依据。     

基于支持向量机的红细胞彩色图像分割

对红细胞进行精确的分割并统计各类参数在临床医学中有着重要的意义,但现有经典算法很难实现自动分割并获得较高准确率。红细胞的分割主要有两个难点：一是红细胞的目标提取;二是重叠红细胞的分割。本文首先利用SVM对原始图像进行红细胞提取,把原始细胞分割成红细胞和背景两类目标区域,然后对红细胞区域进行重叠分割（本文中使用改进距离标记的分水岭算法）,最终得到各个红细胞的统计数据。为获得最佳的分割效果,本文通过实验对核函数、支持向量类型及相关参数进行了详细的比较和分析。实验结果表明,该算法能有效、快捷、准确、全自动的实现     

去除藻毒素的水处理方法

蓝-绿藻水华及其所含毒素已成为我国许多富营养化水源的主要问题.蓝-绿藻所含的毒素是复杂的有机化合物,其中包括神经毒素、肝毒素和皮肤毒素.在水处理时如能有效去除藻类,则藻毒素将随之减少.除藻措施可在水源地或水厂内同时进行.在水源处可采取的措施是预氧化、投加除藻剂和防止水源水因水质或水温而引起的上下分层.一般水厂常规处理工艺不能有效去除藻毒素,可以采用强化混凝、优化粉末活性炭和臭氧以及氯的投加量、用生物活性炭过滤或组合工艺.其中生物预处理、臭氧氧化、粉末或颗粒活性炭吸附有较好去除效果.但是在藻类大量繁殖时,须慎重采用预氧化,否则当用氯或臭氧进行预氧化时,如投药量不当,会使藻细胞破裂,反而析出较多的毒素到水中.蓝-绿藻毒素的最佳去除工艺是臭氧和活性炭相结合的生物活性炭法.     

Overview of the potent cyanobacterial neurotoxin β-methylamino-L-alanine (BMAA) and its analytical determination

Blue-green algae are responsible for the production of different types of toxins which can be neurotoxic, hepatotoxic, cytotoxic and dermatotoxic and that can affect both aquatic and terrestrial life. Since its discovery the neurotoxin β-methylamino-L-alanine (BMAA) has been a cause for concern, being associated with the neurodegenerative disease amyotrophic lateral sclerosis/Parkinsonism–dementia complex (ALS/PDC). The initial focus was on Guam where it was observed that a high number of people were affected by the ALS/PDC complex. Subsequently, researchers were surprised to find levels of BMAA in post mortem brains from Canadian patients who also suffered from ALS/PDC. Recent research demonstrates that BMAA has been found at different levels in the aquatic food web in the brackish waters of the Baltic Sea. There is emerging evidence to suggest that sand-borne algae from Qatar can also contain BMAA. Furthermore, there is now concern because BMAA has been found not only in warmer regions of the world but also in temperate regions like Europe. The aim of this review is to focus on the methods of extraction and analysis of the neurotoxic non-protein amino acid BMAA. We also consider the neurotoxicity, aetiology, and diverse sources and routes of exposure to BMAA. In recent years, different methods have been developed for the analysis of BMAA. Some of these use HPLC-FD, UPLC-UV, UPLC-MS and LC-MS/MS using samples that have been derivatised or underivatised. To date the LC-MS/MS approach is the most widely used analytical technique as it is the most selective and sensitive method for BMAA determination.