欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
选取自然界中分布较广泛的小球藻和铜绿微囊藻为研究对象,进行室内藻类光谱试验,同步测定其ρ（叶绿素a）,并分别建立基于混合高斯函数的小球藻和铜绿微囊藻高光谱信息模型.在此基础上,利用模拟退火算法实现模型的非线性参数拟合,提取这2种藻的高光谱特征,通过非线性回归分析,反演得到分解后的高光谱信息模型的峰高（hi）与ρ（叶绿素a）的定量模型,实现对水体中小球藻和铜绿微囊藻ρ（叶绿素a）的预测.结果表明：藻类高光谱特征提取算法能有效揭示小球藻和铜绿微囊藻的光谱本质特征,并得出相应的小球藻和铜绿微囊藻叶绿素a反演模型.
英文摘要：
Chlorella vulgafis and Microeystis aeruginos, found widely in natural environments, were selected for an indoor experiment. The reflectance spectra of the algaes were measured and the chlorophyU-a concentrations were determined simultaneously. A feature extraction algorithm for the algae hyperspeetral data was developed, and was used to estimate Chl-a concentration in aquatic environments. According to the measured data, separate hyperspectral quantitative models for Chlorella vulgaris and Microcystis aeruginosa were developed. Based on the models, Simulate Anneal Arithmetic was applied for the non-linear fitting of the model parameters and achieved the extracted features of the hyperspectral data. The feature extraction algorithm used in this study can effectively predict the hyperspectral characteristics of these two algaes. The relevant Chl-a inversion models for Chlorella vulgaris and Microcystis aeruginos were obtained.
同期刊论文项目
同项目期刊论文
Source diagnostics of polycyclic aromatic hydrocarbons in urban road runoff, dust, rain and canopy t
Dry deposition of atmospheric polycyclic aromatic hydrocarbons (PAHs) in the southeast suburb of Bei
Concentration, distribution and source apportionment of atmospheric polycyclic aromatic hydrocarbons
Management of urban road runoff containing PAHs: probabilistic modeling and its application in Beiji
Application of multivariate spatial analysis in scale-based distribution and source study of PAHs in
Application of spatial analysis and multivariate analysis techniques in distribution and source stud
Analytical Modeling of PAH Loading and Transport via Road Runoff in an Urban Region of Beijing, Chin
期刊信息
位置：