The parameters of backscattering coefficient model have significant temporal and spatial variability. In order to overcome this limit

a classification algorithm based on spectra dominant factors for Taihu Lake is established to classify the water reflectance spectra into three types. Quasi-analytical algorithm and optical closure are used in this paper to stimulate the back-scattering coefficient for three types of water reflectance spectra in Taihu Lake according to the field measurement reflectance data. The properties of backscattering coefficient are also analyzed synchronously. On this basics

the backscattering coefficient parametric model for three types of water in Taihu Lake are established. As a result

the difference of the backscattering properties in different time and space is converted into the difference of bio-optical properties of dominant factor in water. Thus

the parametric models of backscattering coefficient are demonstrated to be suitable for different parts and different seasons of Taihu Lake.