基于叶绿素荧光诱导动力学曲线的光合作用参数反演算法研究

快相叶绿素荧光诱导曲线中蕴含着丰富光合作用信息。该信息可以反映出植物的生存状态、病理以及受到胁迫时的生理变化趋势等多种信息。通过采集藻类荧光及诱导光信号, 拟合快相叶绿素荧光动力学曲线。基于最小二乘拟合方法，提出自适应最小误差逼近的方法对快相叶绿素荧光动力学曲线进行多元非线性回归拟合，实现F_o（固定荧光）、F_m（最大荧光产率）、σ_PSII（PSII的功能吸收截面）等细节参数的反演。实现了蛋白核小球藻光合作用参数反演，并实验了在Cu2+胁迫环境下，蛋白核小球藻的生理变化趋势。

Photosynthetic Parameters Inversion Algorithm Study Based on Chlorophyll Fluorescence Induction Kinetics Curve

The fast chlorophyll fluorescence induction curve contains rich information of photosynthesis. It can reflect various information of vegetation, such as, the survival status, the pathological condition and the physiology trends under the stress state. Through the acquisition of algae fluorescence and induced optical signal, the fast phase of chlorophyll fluorescence kinetics curve was fitted. Based on least square fitting method, we introduced adaptive minimum error approaching method for fast multivariate nonlinear regression fitting toward chlorophyll fluorescence kinetics curve. We realized F_o (fixedfluorescent), F_m (maximum fluorescence yield), σ_PSII (PSII functional absorption cross section) details parameters inversion and the photosynthetic parameters inversion of Chlorella pyrenoidosa. And we also studied physiological variation of Chlorella pyrenoidosa under the stress of Cu2+.