Chlorophyll calculating method based on remote-sensing images and water ecological model

Abstract

The invention discloses a chlorophyll calculating method based on remote-sensing images and a water ecological model. The method comprises the steps of 1, based on remote-sensing image data, data preprocessing like radiometric calibration, atmospheric correction and image cropping and fusing is conducted; 2, a remote-sensing water quality inversion model is constructed, and respective inversion ofindexes like water temperature and chlorophyll concentration is achieved; 3, various index concentrations and future weather change which are obtained through inversion of the remote-sensing images are regarded as input conditions of the water ecological model, and the chlorophyll concentration dynamic change process of a water area environment is simulated within a future duration caused by change like nutritive substance conversion and algae growth and death under a future weather change condition. The chlorophyll calculating method is applicable to water environment monitoring and predicting, and has popularity and high calculation precision, chlorophyll concentration prediction and simulation of a large area of a drainage basin are achieved in real time under the condition of the limited monitoring site, and an integrated chlorophyll concentration predicting system integrating the remote-sensing images and the water ecological model can be formed.

Description

technical field [0001] The invention belongs to the field of water environment monitoring and forecasting, in particular to a chlorophyll calculation method based on remote sensing images and water ecological models. Background technique [0002] With the rapid expansion of urbanization and rapid industrial development, as well as the extensive use of chemical fertilizers and pesticides in agricultural production, a large amount of urban domestic sewage and industrial and agricultural wastewater are discharged into rivers, rivers, lakes, reservoirs and other water bodies, causing the pollution load of water bodies to continue to increase. As a result, the eutrophication of my country's inland water bodies is becoming more and more serious, and "water bloom" events occur frequently, which seriously affects and restricts the function of water bodies and the utilization of water resources, and poses a direct threat to the safety of drinking water in the basin and social productio...

AI Technical Summary

Problems solved by technology

Most of its water quality inversion models are empirical or semi-empirical-semi-analytical formulas, lacking algae growth mechanism, ignoring the influence of external meteorological factors and hydrological factors on water quality, and at the same time, due to the periodicity of remote sensing image acquisition, for example, Landsat series satellites are 16 days Once, the MODIS land data is once every 8 days, which can only invert the chlorophyll concentration of the day, and cannot timely and effectively predict the future algal bloom risk of the water body

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