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Method for predicting degree of damage of pasturing area snow disaster to animal husbandry

A forecasting method and animal husbandry technology, applied in forecasting, weather condition forecasting, measuring devices, etc., can solve the problems of death, insufficient forage supply, livestock disability, etc., achieve geographic data management, reduce forecasting workload, improve The effect of prediction accuracy

Pending Publication Date: 2020-06-02
LANZHOU UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Snow disasters occur frequently in pastoral areas. For pastoral areas that rely on natural grasslands for grazing, when the snow cover grasslands reaches a certain thickness in winter and spring, the mountains and plains are covered with heavy snow, and it is difficult for livestock to find food and cannot graze. The external forage cannot be transported to the affected area in time, and the supply of forage is insufficient, resulting in the disability or death of a large number of livestock due to hunger, causing huge losses to animal husbandry production in pastoral areas and the lives and properties of herdsmen

Method used

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  • Method for predicting degree of damage of pasturing area snow disaster to animal husbandry
  • Method for predicting degree of damage of pasturing area snow disaster to animal husbandry
  • Method for predicting degree of damage of pasturing area snow disaster to animal husbandry

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Embodiment

[0046] Embodiment: the present invention takes Gannan pastoral area of ​​Gansu Province as an example, and illustrates a kind of pastoral area snow disaster to animal husbandry damage degree prediction method, comprises the following steps:

[0047] Step 1: Use ArcGIS software to superimpose the grassland type map and seasonal grazing utilization map of Gannan pastoral area with the administrative area map to make the spatial distribution map of winter grazing grassland in Gannan pastoral area in 2015, and determine the spatial distribution of snow disaster occurrence area in Gannan pastoral area. Figure 4 . During the snowfall period, the area of ​​grazing grassland in Gannan pastoral area is 665744 hm 2 . Forage grass in Gannan pastoral areas stopped producing at the beginning of November, and began to turn green by the end of April of the following year. The expected snowstorm time is about 181 days.

[0048] Step 2: Obtain the snow depth, snow cover rate, forage coverag...

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Abstract

The invention relates to a method for predicting the degree of damage of a pasturing area snow disaster to animal husbandry. The method comprises: designing snow disaster damage generation elements ofthe pasturing area according to spatial distribution of damage of snow disasters to animal husbandry; establishing a diagnosis model of snow disaster damage according to the supply and demand relationship of forage grass in winter and spring (the snow disaster period); predicting the degree of the damage of the pasturing area snow disaster to the animal husbandry; and taking targeted preventive measures according to a damage degree prediction model and a grading standard as well as the forage grass reserve in the snow disaster period estimated through a forage grass reserve estimation model for dealing with disasters. According to the method, the loss and prevention cost of the animal husbandry caused by the snow disaster in the pasturing area can be greatly reduced, the spatial visualization of the production damage degree of the animal husbandry caused by the snow disaster in the pasturing area is realized through the snow disaster, and a scientific basis is provided for guiding thepasturing area to reduce damage. According to the method, the prediction workload is greatly reduced, the prediction precision is improved, and the practicability is high.

Description

technical field [0001] The invention relates to a method for predicting the degree of damage to animal husbandry caused by snow disasters in pastoral areas. Background technique [0002] Snow disasters occur frequently in pastoral areas. For pastoral areas that rely on natural grassland grazing, when the snow-covered grassland reaches a certain thickness in winter and spring, the mountains and fields are covered with heavy snow, making it difficult for livestock to forage for food and unable to graze. External forage cannot be delivered to the affected areas in time, and the supply of forage is insufficient, resulting in a large number of livestock being maimed or dying due to starvation, causing huge losses to animal husbandry production in pastoral areas and herdsmen's life and property. The invention predicts the damage degree of animal husbandry caused by snow disasters in pastoral areas through a scientific method, and takes countermeasures to reduce losses and avoid ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G01W1/10G06F16/29G06Q50/02
CPCG06Q10/04G01W1/10G06Q50/02G06F16/29Y02A90/10
Inventor 刘宥延刘兴元冯琦胜梁天刚
Owner LANZHOU UNIVERSITY
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