Construction Method of Bio-optical Model of Stratified Water Body

Abstract

The invention relates to an establishing method for a layered water biological optical model. The method comprises the following steps: utilizing Hydrolight radiation transfer to simulate the underwater optical field distribution of different algae particles under the condition of vertical distribution, acquiring an apparent optical parameter data set and analyzing the influence of the vertical distribution of the algae particles on remote sensing reflectivity rrs (lambda, z) and diffuse attenuation coefficient Kx (lambda, z) of a characteristic underwater optical field; comparing and screening an equivalent weighting function and calculating a contribution rate of different layers of water to the underwater remote sensing reflectivity (rrs (0)); and lastly, establishing the layered waterbiological optical model under different sun angles and using simulated data for verifying. The layered water biological optical model established according to the method provided by the invention isthe condition and basis for increasing remote sensing inversion accuracy of water quality parameters of eutrophication lakes, is capable of supplementing and perfecting the basic theory and method forlake water color remote sensing, is capable of promoting the development of the lake water color remote sensing and has a great scientific significance.

Description

technical field [0001] The invention relates to a method for constructing a bio-optical model of a stratified water body. Background technique [0002] Lake eutrophication and harmful algal blooms are common ecological environmental problems in waters all over the world (Qin Boqiang et al., 2016). Frequent outbreaks of cyanobacterial blooms caused by lake eutrophication are currently the main challenges facing freshwater lakes in China (Liu and Yang , 2012). Driven by the coupling of various environmental factors (external factors), cyanobacteria have an absolute advantage in the phytoplankton community due to their unique physiological and ecological characteristics (internal factors), which produce huge biomass. Under suitable hydrometeorological conditions, a large number of algae particles accumulate on the water surface to form a cyanobacterial bloom (Ma Jianrong et al., 2013). Studies have shown that cyanobacterial blooms have strong temporal and spatial variability,...

AI Technical Summary

Problems solved by technology

However, most of the traditional lake water color remote sensing is based on the assumption of vertical uniformity of the water body. The vertical non-uniform distribution of algal particles and their rapid changes during the formation of algal blooms pose a great challenge to the application of this assumption.

Existing studies are limited to judging the type of vertical distribution of algae particles based on remote sensing reflectance above the water surface, or correcting remote sensing reflectance based on empirical methods to reduce the influence of vertical distribution of algal particles

It is still difficult to reveal the remote sensing monitoring mechanism of the vertical distribution of algal particles

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