基于小波变换的水源水中藻类生长动态研究  

Dynamical Research on Algae in Source Water with the Wavelet

作　　者：卢金锁[1] 黄廷林[1] 何文杰[2] 

机构地区：[1]西安建筑科技大学环境与市政工程学院,陕西西安710055 [2]天津市自来水集团有限公司,天津300040

出　　处：《环境监测管理与技术》2008年第6期49-53,共5页The Administration and Technique of Environmental Monitoring

基　　金：教育部高等学校博士学科点专项科研基金资助项目(20050703005);西安市科技攻关计划项目基金资助项目(GG06200)

摘　　要：对利用小波变换法对天津引滦原水中日检测叶绿素(藻类表征指标)构成的时间序列进行了变换,将原始序列分解为5个低频和较低频的周期性小波系数和3个高频的"噪音"小波系数,发现5个周期性信息变化与季节更替、优势藻种变换及一定条件下藻类生长动态平衡等因素有关;而高频的"噪音"细节信息除检测误差造成外,降雨、风向及取样的深度也会对此产生重要的影响。通过该段时间水源区域内的气温、太阳曝辐照度及降雨数据分析,验证了小波转换系数的意义及分析结果。The raw time series for daily chlorophyll concentration （ algae characterization item） of the Luan river in Tianjin were decomposed into components of 5 low frequency/lower frequency cycle and 3 high frequency noise by the Wavelet transform method. It was found that message of 5 cyclical variations was related to seasonal changes, predominant algae species and dynamic equilibrium of algae growth. Rainfall, wind direction and sam- pling depth affected the detailed message of high frequency noise with the exception of detective error of chlorophyll. The data analysis of temperature, sun radiance exposure and rainfall in the source water area verified the significance and analytical results of the Wavelet transform.

关 键 词：小波方法 水源水 藻类 动态变化 叶绿素 

分 类 号：X830.3[环境科学与工程—环境工程]