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

Winter wheat dry-hot wind insurance weather index calculation method

A calculation method and technology of hot and dry wind, applied in the field of agricultural insurance, can solve problems such as the lack of weather index products, and achieve the effect of avoiding the risk of dry and hot wind disasters of winter wheat, ensuring economic benefits, and eliminating the risk of basis differences.

Active Publication Date: 2018-11-27
HENAN INST OF METEOROLOGICAL SCI
View PDF9 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, my country's existing wheat weather index insurance products not only aim at the comprehensive impact of disasters such as drought and frost in the whole growth period, but also have an index design for drought disasters in the main growth period. However, the weather index that can provide production guarantee for wheat in the later stage Products are still lacking

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
  • Winter wheat dry-hot wind insurance weather index calculation method
  • Winter wheat dry-hot wind insurance weather index calculation method
  • Winter wheat dry-hot wind insurance weather index calculation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0088] 1. Risk division of dry and hot wind disasters for winter wheat

[0089] The values ​​of α, β and γ determined by entropy weight method are 0.580, 0.281 and 0.139, respectively. Standardize the calculation results of formula (7), and get the dry-hot wind disaster risk coefficient of each county ( figure 2 ). It can be seen from the figure that Jiyuan, Jiaozuo, Luoyang in northwest Henan, and most of northern Henan have relatively high risk of dry and hot wind disasters, while Nanyang, Zhumadian, Shangqiu, Kaifeng and other places in central and southern Henan are in the moderate risk zone. The data in the figure can be used as the regional coefficient for the revision of the dry and hot wind weather index rate.

[0090] 2. The relationship between dry and hot wind insurance weather index and production reduction rate

[0091] Calculate the weather index corresponding to the dry and hot wind weather before, during and after grouting respectively. The correlation ana...

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 winter wheat dry-hot wind insurance weather index calculation method. The method comprises the following steps: the raw data of dry-hot wind are extracted; winter wheat grainfilling is divided into three stages: the early filling stage, the middle filling stage and the late filling stage, and the historical average lasting days of each stage are also divided; the corresponding raw data of the dry-hot wind years in different stages of grain filling are screened so as to determine the yield reduction rate caused by the dry-hot wind; the dry-hot wind insurance weather index is constructed; the regression model is established according to the relationship between the yield reduction rate and the dry-hot wind insurance weather index so as to determine the weather index insurance premium rate; and the revised premium rate of the insurance weather index is determined through combination of the result of dry-hot wind disaster risk zoning. Separation and segmentationof the meteorological yield of the winter wheat are performed and the influence of the meteorological disaster during the filling stage is extracted so as to be favorable for scientifically identifying the influence of the single disaster species on the yield; and the situation of lack of insurance index products in the late growth stage of the wheat can be compensated so as to have a positive significance to avoid the dry-hot wind disaster risk of the winter wheat and protect the economic interests of farmers.

Description

technical field [0001] The invention relates to the technical field of agricultural insurance, in particular to a method for calculating winter wheat dry and hot wind insurance weather index. Background technique [0002] Dry hot wind is the most serious agrometeorological disaster that harms grain filling in the late growth stage of winter wheat, and it is also one of the most important agrometeorological disasters that affect the stable and high yield of wheat in northern my country. It has a great impact on the thousand-grain weight and yield of wheat. Henan Province is a province with frequent dry and hot winds in winter wheat. According to historical statistics, the number of stations with young and heavy dry hot winds in the past 50 years accounted for 63.7 and 30.2% of the total number of stations, the average days were 1.9 days and 0.5 days, and the occurrence frequencies were 64 % and 23%. In recent years, the occurrence of hot and dry wind has tended to intensify....

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): G06Q40/08G06Q50/02
CPCG06Q40/08G06Q50/02
Inventor 成林方文松张志红胡程达王秀萍
Owner HENAN INST OF METEOROLOGICAL 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