A Chlorophyll Calculation Method Based on Remote Sensing Image and Water Ecological Model

Abstract

The invention discloses a chlorophyll calculation method based on remote sensing images and water ecological models, comprising: step 1, data preprocessing such as radiation calibration, atmospheric correction, image clipping and fusion based on remote sensing image data; step 2, constructing remote sensing The water quality inversion model realizes the inversion of water temperature, chlorophyll concentration and other indicators separately; step 3, the above-mentioned index concentrations and future meteorological changes obtained from the inversion of remote sensing images are used as the input conditions of the water ecological model to simulate the future meteorological changes of the water environment. Under these conditions, the dynamic change process of chlorophyll concentration caused by the transformation of nutrients, the growth and death of algae in a period of time in the future. The present invention is applicable to water environment monitoring and prediction, has universal applicability and high calculation accuracy, and can realize real-time prediction and simulation of chlorophyll concentration in a large area of ​​watershed under the condition of limited monitoring distribution, and can form a chlorophyll concentration integrating remote sensing image and water ecological model forecasting system.

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...

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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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