四岭水库蓝绿藻细胞浓度的多时间尺度分析

发布时间：2018-01-02 11:36

本文关键词：四岭水库蓝绿藻细胞浓度的多时间尺度分析　出处：《浙江大学学报(工学版)》2016年03期 　论文类型：期刊论文

【摘要】：为揭示杭州市四岭水库蓝藻暴发的内在规律、特征并预测未来趋势,以水库2011年11月14日至2012年8月30日水质监测数据为研究对象,采用多元线性回归方法分析影响蓝绿藻细胞密度的因素,引入小波理论对时间序列数据集进行数据补偿、去噪和多时间尺度分析.结果表明,四岭水库蓝绿藻细胞密度变化受自身影响较其余环境因素大,且具有多时间尺度特征;蓝绿藻细胞密度变化在46d、128d时间尺度下分别存在主周期,其周期分别为30d和85d;预测未来15d内四岭水库蓝绿藻细胞密度呈现低水平;验证了小波理论能精细分析蓝绿藻细胞密度(日际变化数据集)的特征,为四岭水库的日常管理和藻华防治提供科学依据.
[Abstract]:In order to reveal the inherent law and characteristics of cyanobacteria outbreaks in Siling Reservoir, Hangzhou, and to predict the future trend, the water quality monitoring data from November 14th 2011 to August 30th 2012 were taken as the research object. The multivariate linear regression method was used to analyze the factors affecting the cell density of cyanobacteria, and wavelet theory was introduced to compensate the time series data set, de-noising and multi-time scale analysis. The change of cell density of cyanobacteria in Siling reservoir was more affected by itself than that of other environmental factors, and had the characteristics of multiple time scales. The changes of cell density of Chlorophyta cyanobacteria had main cycles at the time scale of 46 days and 128 days, and the cycles were 30 days and 85 days, respectively. It is predicted that the cell density of cyanobacteria in Siling Reservoir will be low in the next 15 days. It is verified that wavelet theory can accurately analyze the characteristics of cell density (diurnal variation data set) of cyanobacteria and provide scientific basis for daily management and algal bloom control in Siling Reservoir.
【作者单位】：浙江大学环境保护研究所;浙江大学海洋学院;浙江大学环境工程研究所;
【基金】：国家自然科学基金资助项目(21307106) 中国博士后科学基金资助项目(2012M521181) 浙江省公益性技术应用研究计划资助项目(2013C33003) 齐家国教授千人计划经费
【分类号】：X524
【正文快照】： 我国国控重点湖泊、水库中,富营养、中营养和贫营养的湖泊(水库)比例分别为27.8%、57.4%和14.8%[1].滇池、巢湖、太湖、三峡水库、崂山水库、洋河水库等[1-3]水源地水体富营养化日益严重,引起社会各界广泛关注.富营养化治理的主要技术手段有内外源营养盐控制技术、藻类应急控

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