Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and system for predicting water lettuce invasion distribution areas

A forecasting method and forecasting system technology, applied in forecasting, structured data retrieval, instruments, etc., can solve the problem of not revealing the invasion of water lily.

Pending Publication Date: 2020-05-19
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prior art does not disclose how to effectively predict the possibility of water lily invasion

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
  • Method and system for predicting water lettuce invasion distribution areas
  • Method and system for predicting water lettuce invasion distribution areas
  • Method and system for predicting water lettuce invasion distribution areas

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0032] refer to figure 1 As shown, the method for predicting the distribution area of ​​water plantain invasion provided by this embodiment includes:

[0033] 101. Carry out RDA (Redundancy analysis, redundancy analysis) analysis on the acquired information on the occurrence point of the water lily disaster and the environmental variable set of the occurrence point of the water lily disaster; specifically, the information on the occurrence point of the water lily disaster includes water The time, location, and scope of the water lotus disaster occurred, and the environmental variable set includes environmental variable parameters such as terrain, meteorology, socio-economic, land use, and sewage discharge. When performing RDA analysis and processing, the number and density of water floating lotus disaster occurrence points in each county unit are used as response variables, and the environmental variable set of water floating lotus disaster occurrence points is used as explana...

Embodiment 2

[0076] refer to Figure 12 As shown, the water plank lotus invasion distribution area prediction system provided in this embodiment includes:

[0077] Water lotus distribution information database 10, the information of its storage comprises information such as the time, position and scope of water water lotus disaster occurrence point; Specifically, the Geodatabase database module based on Esri ArcGIS builds water lotus disaster information database, through field investigation, Literature review, national plant herbarium, and network herbarium were used to obtain information on the occurrence points of water lily pads in the study area, and input them into the database, mainly including the number and density of water lily pads in each county unit, Information such as the location, date, area, and surrounding environment of water lily disasters.

[0078] The water lotus environmental information database 20, the information stored includes the environmental variable set of ...

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 invention discloses a method and a system for predicting water lettuce invasion distribution areas, and the method comprises the steps: carrying out the RDA analysis of the obtained information ofa water lettuce disaster occurrence point and an environment variable set of the water lettuce disaster occurrence point, and obtaining a non-redundancy environment variable set related to the growthof water lettuce; processing the non-redundant environment variable set by adopting a WOE method to obtain an influence weight of each environment variable in the non-redundant environment variable set on the water lettuce; and performing influence weight summation on all the environment variables in the prediction area to obtain a water lettuce habitat adaptability index of the prediction area.According to the method, the collinearity problem of environmental variables such as terrain, weather, sewage discharge and social and economic development conditions of the water lettuce invasion disaster area Sobs can be solved, the water lettuce invasion possibility of a larger area Spre can be predicted on the basis of the environmental variables, and the invasion possibility of the whole areacan be visually reflected.

Description

technical field [0001] The invention relates to the fields of geographical information, plant ecology, and invasive plant monitoring, and in particular to a method and system for predicting the distribution area of ​​water lily pads. Background technique [0002] Water lily is listed as the world's top ten invasive species by the International Union for Conservation of Nature (IUCN), and its distribution in my country has the characteristics of large area, wide range and long time. Water lily has seriously threatened the biodiversity of our country, especially in the south, and exacerbated the deterioration of the aquatic environment and the extinction of species. It has been listed as an invasive species that must be strictly controlled by the State Environmental Protection Administration and the Chinese Academy of Sciences. Therefore, it is of great significance to reveal the invasive distribution area of ​​water lettuce for the control and prevention of water lettuce. ...

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): G06Q10/04G06Q50/26G06F16/29
CPCG06Q10/04G06Q50/26G06F16/29Y02A90/10
Inventor 陈水森陈金月付娆王重洋赵晶周慧彭咏石李丹姜浩
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products