Stereoscopic supervision and data mining system and method facing lake blue-green algae disaster

Abstract

The invention relates to a stereoscopic supervision and data mining system and method facing lake blue-green algae disaster. The method comprises the steps that monitoring index data related to the lake blue-green algae disaster is obtained through the three ways of remote sensing monitoring, automatic monitoring and manual patrol inspect, and the obtained data is transmitted to a data center through the internet; the data center conducts data backup and data preprocessing on the received data, and temporal interpolation, spatial interpolation and abnormal decision processing are included; the data is transmitted to a database to be stored after being preprocessed; lake three-dimensional numerical model calculation is conducted according to a data source stored in the database, according to numerical model simulated data, to-be-monitored lake blue-green algae disaster risk evaluation is conducted, and lake blue-green algae disaster forecasting and early warning information is displayed on a public platform. According to the method and system, real-time stereoscopic monitoring on the blue-green algae disaster is achieved, collected data information is fully mined, data processing and model simulation are conducted, and blue-green algae disaster information real-time receiving, rapid and accurate processing and timely release are achieved.

Description

Technical field [0001] The invention belongs to the technical field of environmental monitoring, evaluation and data mining, and particularly relates to a three-dimensional monitoring and data mining system and method for lake blue algae disasters. Background technique [0002] A common phenomenon caused by lake eutrophication is that under suitable hydrological and meteorological conditions, many phytoplankton, especially those with buoyancy or movement ability, will proliferate abnormally and gather to form surface blooms, which will cause a series of Serious ecological and environmental problems include: decreased water transparency, decreased dissolved oxygen, death of aquatic animals and plants, peculiar smell of water, decreased biodiversity, and harm to human health through the food chain. The continuous expansion of this kind of ecological disasters caused by eutrophication and abnormal proliferation of cyanobacteria on a global scale has posed a huge threat to the ecolog...

AI Technical Summary

Problems solved by technology

However, the existing technology cannot make full use of this part of data to serve lake research and management, let alone provide valuable and readable information on cyanobacteria disasters for the general public

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