藻类监测在高邮湖蓝藻水华可能性分析中的应用

详细信息    查看全文 | 推荐本文 |

英文篇名：Application of algae monitoring in possibility analysis of blue-greeen algae bloom in Gaoyou Lake 作者：蒋如东 ; 朱晓良 ; 刘平 英文作者：JIANG Rudong;ZHU Xiaoliang;LIU Ping;Wuxi Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau;Yangzhou Branch of Jiangsu Province Hydrology and Water Resources Investigation Bureau; 关键词：浮游藻类 ; 典范对应分析 ; 蓝藻水华 ; 高邮湖 英文关键词：phytoplankton;;canonical correspondence analysis;;blue-greeen algaebloom;;Gaoyou Lake 中文刊名：SJYF 英文刊名：Water Resources Development and Management 机构：江苏省水文水资源勘测局无锡分局;江苏省水文水资源勘测局扬州分局; 出版日期：2019-05-25 出版单位：水资源开发与管理 年：2019 期：No.40 语种：中文; 页：SJYF201905003 页数：6 CN：05 ISSN：10-1326/TV 分类号：7-12

摘要

本文基于2013年5月至2015年5月的监测数据,对扬州高邮湖的浮游藻类群落组成与水环境因子进行分析,运用典范对应分析法(CCA)分析了浮游藻类群落结构与环境因子之间的关系,预测蓝藻水华发生的可能性。结果显示:高邮湖共检出浮游藻类8门71属153种,群落组成主要以绿藻、硅藻为主。CCA分析结果显示水温、透明度和总氮是影响高邮湖浮游藻类群落分布的主要环境因子,在不利的水文和气象条件下存在发生水华的可能性。
        Based on the monitoring data from May 2013 to May 2015, this paper analyzes the composition of phytoplankton community and water environmental factors in Gaoyou Lake inYangzhou, and uses Canonical Correspondence Analysis(CCA) to analyze the relationship between phytoplankton community structure and environmental factors to predict the possibility of blue-greeen algae bloom. The results showesthat 153 species of phytoplankton belonging to 71 genera and 8 phyla were identified in Gaoyou Lake. The community composition is mainly composed of green algae and diatoms. CCA results showsthat water temperature, transparency and total nitrogen are the main environmental factors affecting the distribution of phytoplankton community in Gaoyou Lake. There is the possibility of water bloom under unfavorable hydrological and meteorological conditions.

引文

[1] 阮哲璞,刘腾飞,张志明,等.南京市月牙湖秋冬季节藻类的区系组成[J].水资源保护,2014,30(4):67-70,85.
    [2] 陈鸣,陆卫鲜,郁建桥,等.太湖梅梁湾水污染及蓝藻分析计算[J].河海大学学报(自然科学版),2010,38(6):634-638.
    [3] 叶上扬,喻国良,庞红犁.太湖蓝藻成因分析与清淤方法探讨[J].水资源保护,2012,28(2):30-33,41.
    [4] 邱小琮,赵红雪,孙晓雪.宁夏沙湖浮游植物与水环境因子关系的研究[J].环境科学,2012,33(7):2265-2271.
    [5] 严莹.秦淮河秋冬季浮游植物群落与环境因子典范对应分析[J].河海大学学报(自然科学版),2013,41(6):505-510.
    [6] 顾苏莉,陈方,孙将陵.太湖蓝藻监测及暴发情况分析[J].水资源保护,2011,27(3):28-32.
    [7] 盛东,徐兆安,高怡.太湖湖区“黑水团”成因及危害分析[J].水资源保护,2010,26(3):41-44,52.
    [8] TER BRAAK C J F.Canonical correspondence analysis:a new eigenvector technique formultivariate direct gradient analysis[J].Ecology,1986,67(5):1167-1179.