Climatic change forecast and trend analysis method

A trend analysis and climate change technology, applied in the field of computer computing, can solve the problems of inability to predict climate change and trend analysis

Inactive Publication Date: 2015-03-25
DALIAN MARITIME UNIVERSITY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a climate change prediction and trend analysis method to overcome the existing problems of inability to accurately predict and trend analysis of jumps in climate change

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Climatic change forecast and trend analysis method
  • Climatic change forecast and trend analysis method
  • Climatic change forecast and trend analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0067] figure 1 It is a flow chart of climate change prediction and trend analysis method of the present invention, such as figure 1 As shown, the method of this embodiment includes:

[0068] Step 101, the processor receives climate variable data and a time value corresponding to the climate variable data;

[0069] Step 102, the processor uses ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides a climatic change forecast and trend analysis method. The method includes the steps that a processor receives climatic variable data and a time value corresponding to the climatic variable data; the processor adopts a fuzzy clustering algorithm to calculate the gradual change and the jump change of the climatic variable data; the processor forecasts the climatic change and analyzes the trend according to the gradual change and the jump change. The jump change in the climatic change is accurately embodied, which is beneficial for further accurately forecasting reasonable resource utilization and regional sustainable development and analyzing causes corresponding to the jump change.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer calculations, and in particular to a climate change prediction and trend analysis method. Background technique [0002] In recent years, extreme weather such as floods, droughts and freezing rains has attracted the attention of people all over the world. There are many reasons for this phenomenon. For example, natural factors such as sharp changes in cold and warm air currents, and human factors such as deforestation of forests and vehicle exhaust emissions also account for a large proportion of human activities. [0003] In the prior art, the chaos-artificial neural network method is used to predict climate change and analyze the trend. This method combines chaos theory and artificial neural network to offset the shortcomings of the two. Analyze the change process of watershed temperature, rainfall and runoff. And then for climate change prediction and trend analysis. [0004] Th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04
CPCG06Q10/0639Y02A90/10
Inventor 王妮妮尹建川刘晓东
Owner DALIAN MARITIME UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products