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Green tide disaster early warning system based on ecological model and application method thereof

A technology of early warning system and forecast system, which is applied in transmission systems, radio transmission systems, alarms, etc.

Inactive Publication Date: 2019-02-12
TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Claims
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  • Green tide disaster early warning system based on ecological model and application method thereof
  • Green tide disaster early warning system based on ecological model and application method thereof
  • Green tide disaster early warning system based on ecological model and application method thereof

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Embodiment

[0035] 1. Take the MODIS satellite data downloaded on May 11, 2016, and use the automatic inversion module in the green tide information database to invert the occurrence of green tides found in the radiant sandbar in the northern Jiangsu shoal, such as Figure 8a As shown, the data on the location, time and coverage of the green tide are saved into the database.

[0036] 2. Start the forecast module, set parameters for the typical ecological model information module, read the green tide distribution information on May 11 in the database, run the model, and get the green tide drift path and coverage area distribution map after 15 days, such as Figure 8b shown.

[0037] 3. Start the early warning system for sensitive areas, and set the sensitive area to give early warning when it passes 35°N. Figure 8b As shown, an early warning is given to Lianyungang, and an early warning report is given, as shown in the following table:

[0038] Green Tide Forecast System - Early Warning...

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Abstract

The invention discloses a green tide disaster early warning system based on an ecological model and an application method thereof. The green tide disaster early warning system comprises a green tide information database, a visual forecasting system and a sensitive area early warning system, wherein the green tide information database comprises an automatic inversion module and a manual input module, and mainly downloads and stores the position, time and cover area when a green tide happens initially; the visual forecasting system comprises a system management module, a typical ecological modelinformation module, an early warning module and a green tide ecological model knowledge module; and the sensitive area early warning system comprises a data graphic analyzer module and an early warning module, has the data analysis, drawing, sensitive area early warning hint and other functions, and can perfectly combine with the visual forecasting system. The green tide disaster early warning system based on the ecological model and the application method thereof has the beneficial effects that the operation is easy, satellite data can be automatically download to judge the occurrence of thegreen tide; the drift path and development process of the green tide can be forecasted according to green tide data in the green tide information database; and the pertinence is high, and the early warning can be carried out by aiming at a preset sensitive area.

Description

technical field [0001] The invention relates to the field of marine ecosystem dynamics, in particular to an ecological model-based green tide disaster early warning system and its application method. Background technique [0002] Green tide refers to the proliferation of large-scale marine green algae. As a natural disaster, green tides occur more and more frequently in the coastal waters of the world, and the geographical scope of occurrence is also increasing, causing serious harm to social economy and human development. When it erupts in a large area, it will have a certain impact on the marine environment, marine fisheries and marine ecosystems. Therefore, the research on early warning of green tide disaster can further improve the level of emergency early warning of green tide, ensure the sustainable utilization of marine resources and protect the marine ecosystem. However, the existing green tide disaster early warning system still has some discovery lags, and cannot ...

Claims

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Application Information

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IPC IPC(8): G08B21/10H04B7/185G06F16/24
CPCG08B21/10H04B7/18517
Inventor 赵亮蒋昊白雨姚剑宇
Owner TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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