滇池富营养化成因分析

滇池富营养化是湖泊生态环境演变过程的景观显示,是湖泊生物生产力在必需的营养条件和适宜的环境条件相互作用下发生发展的生态过程。其生态演变因素可分为“自然的"与“人为的"两种。营养盐的大量输入是滇池富营养化的主要原因:适宜的自然环境是发生富营养化的重要条件:人类活动的强度干预,加速了滇池的富营养化。      

洪泽湖水体富营养化时空分布特征与影响因素分析

通过2014年—2017年对洪泽湖12个水质断面定期调查,采用营养状态指数(TLI)综合评价其水体富营养状态,同时应用主成分分析方法(PCA)分析其富营养化状态的时空变化特征。结果表明,洪泽湖70%以上的调查断面水质全年处于轻度富营养化状态,夏季是其富营养化最严重的季节;洪泽湖年内水体水质差异较大,而其水华特征并未呈现明显差异;洪泽湖富营养化很大程度上受制于营养盐的积累程度,并与湖泊透明度呈现极显著的负相关关系(p0.001),与湖水pH值呈现极显著的正相关关系。     

影响富营养化水体沉水植物修复的生态因子探讨

日益严重的水体富营养化现象,不仅降低了它的使用功能,也使水生态系统日趋退化,从而制约了当地社会经济的可持续发展。利用组建或重建沉水植物技术净化水质或进行水体生态修复是一种有效的生态工程措施。本文综述了光照、pH、营养盐、重金属、悬浮颗粒物及着生藻类等生态因子对沉水植物修复的影响和修复时应注意的问题。     

富营养化水体中微囊藻毒素（MCs）去除技术研究进展

当前,随着工业的发展水体富营养化程度日益严重。引起富营养化的主要藻类一蓝藻,能够释放对人体及鱼类具有多器官毒性、遗传性和致癌性的毒素——微囊藻毒素（MCs）。MCs治理技术种类繁多,传统的物理法如：混凝沉淀、膜过滤、活性炭吸附、气浮以及直接过滤只能对简单的处理细胞内的MCs;化学氧化法、光催化氧化法以及高级氧化法虽然能有效处理水体中的MCs．但有成本高、易二次污染和操作复杂等缺点,难以满足日益严格的环保要求;生物酶法除了具有生物降解法所具有的廉价、无二次污染、降解彻底和易操作等特点外,还被刺用来监控水体中MCs,它将成为今后重点研究的技术领域．     

应用浮动生物滤清器除藻研究

根据浮游植物（藻类）与浮游动物（轮虫类）之间的生态食物链关系，Ｅｌｔｏｎａｉａｎ金字塔风言风语服动生物滤清器”（ＦＢＥ）、在该设备化虫（类）创造了一个生长、系列和栖息的地方，并让它澡类，应用该设备在不同地点进行了实际观测试验，其除藻效率达到８４％～９３％。     

GA优化的湖泊富营养化评价的普适公式探讨

在适当设定富营养化指标的“本底值”情况下,当指标值用于对应“本底值”的相对值表示时,可采用S型曲线描述湖泊富营养化的发展程度,公式中的参数可视为与指标特性无关,采用遗传算法对公式参数优化,得到对多项指标均适用的富营养化程度的指数公式,并提出用广义模糊对比因子赋权新方法计算富营养化综合指数。该评价方法物理意义明确,计算简单,使用方便,具有普适性、可比性和实用性。     

滇池水华综合控制对策探讨

水华污染已成为滇池目前面临的主要环境问题，滇池水华治理被国家列为重中之重的项目而予以高度重视，据多年的监测资料，滇池水华的各类主要是蓝藻门的微囊藻，其次为束丝藻和鱼腥藻。该文从多方面分析了滇池水华泛滥的原因，在此基础上提出了滇池水华控制和富营养化治理的综合对策，特别强调了滇池水华必须坚持控制污染源与生态修复相结合的原则。     

人工神经网络在湖泊富营养化评价中的应用研究

运用人工神经网络技术评价湖泊富营养化程度。详细阐述了神经网络的结构设计，样本生成及学习算法，给出了通过训练得出的网络权和阈值，最后将此神经网络用于１２个湖泊的富营养化评价，取得了较好的评价结果。     

An innovative technique for lake management with reference to aeration unit installed at lower lake, Bhopal, India

Water is key element in human life. All forms of life upon the earth depend upon water for their mere existence. Life & water may be aptly said to be two facets of the same coin. Most of the water bodies are getting polluted due to domestic waste, sewage, industrial waste and agricultural effluent. The present study is designed to ascertain the effectiveness of artificial aeration cum Ozonizer unit installed at Lower Lake, Bhopal for assessment of water quality. Various physico- chemical parameters like pH, Dissolved oxygen, Biochemical Oxygen demand, Chemical oxygen demand, nitrate, phosphate and bacteriological status were studied to assess the extent of deterioration in water quality of Lower lake and at the same time to assess the performance of the dual aeration system in improvement of water quality.     

Testing the Stochastic Dynamic Methodology (StDM) as a management tool in a shallow temperate estuary of south Europe (Mondego, Portugal)

A long-term monitoring program has been carried out since the early 1990s in the Mondego estuary, on Portugal's west coast, which is presently under heavy human pressure. In this shallow warm-temperate estuary, a significant macroalgal proliferation has been observed, which is a clear sign of nutrient enrichment. As a result of competition with algae, the extension of the seagrass meadows (mainly Zostera noltii) has been reduced. The present paper examined the applicability of a holistic Stochastic Dynamic Methodology (StDM) in predicting the tendencies of trophic key-components (macrophytes, macroalgae, benthic macroinvertebrate and wading birds) as a response to the changes in estuarine environmental conditions. The StDM is a sequential modelling process developed in order to predict the ecological status of changed ecosystems, from which management strategies can be designed. The data used in the dynamic model construction included true gradients of environmental changes and was sampled from January 1993 to September 1995 and from December 1998 to December 2005. The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected ecological components. The model validation was based on independent data collected from January 1996 to January 1997 and from February 1999 to April 2000 for all the state variables considered. Overall, the simulation results are encouraging since they seem to demonstrate the StDM reliability in capturing the trophic dynamics of the studied estuary, by predicting the behavioural pattern for the most part of the components selected, with a focus on the Zostera noltii meadows recovery after the implementation of important management measures.