Multi-source remote sensing monitoring method of water pollution based on Internet of Things

Abstract

The invention discloses a multi-source remote sensing monitoring method of water pollution based on the Internet of Things. The method comprises the following steps of (1) analyzing a water body by satellite remote sensing data, unmanned aerial vehicle remote sensing data and automatic water quality detection data; (2) performing preprocessing by geometric correction, atmospheric correction and drinking water source protection measures after analysis completion; (3) performing multi-source remote sensing data fusion and remote sensing big data integration processing after the preprocessing; (4) obtaining an environmental safety evaluation model, a GIS space model, a pollutant diffusion model, a space-time data assimilation model, a Swat watershed model and a biochemical reaction model of the water body according to Step (3) and the automatic water quality detection data after the processing in Step (3); and (5) obtaining environmental safety evaluation, pollution event early warning and visual representation of the water body by the models in Step (4). The method breaks through a traditional monitoring system with mutually independent time and space, and has the advantages of richmonitoring function, high decision efficiency, high accuracy and the like.

Description

technical field [0001] The invention relates to the technical field of water environment monitoring, in particular to a multi-source remote sensing monitoring method for water pollution based on the Internet of Things. Background technique [0002] At present, most of the water quality monitoring of polluted water bodies across the country is still in the stage of manual monitoring. Currently, most of the monitoring methods used, such as atomic absorption method and colorimetry, can accurately characterize and quantify the degree of water pollution, but they mostly rely on manual regular monitoring. Or collect water samples from time to time. The sampling and testing process often consumes a lot of manpower, material and financial resources. Not only that, because many urban rivers are widely distributed, small in area, large in number, complex in spatial distribution, and some polluted water bodies change greatly, so there are great difficulties in governance and supervisi...

AI Technical Summary

Problems solved by technology

The eutrophication of lakes leads to the decline of water quality, the frequent occurrence of algae blooms, the substantial reduction of aquatic vegetation, the decline of biodiversity and the destruction of landscape, etc., which seriously threatens the health of surrounding people and is not conducive to the sustainable development of society and economy. cause huge economic losses

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