A dynamic simulation method for a spreading process of Apocheima cinerarius Ershoff based on a CLUE-S model

A dynamic simulation, spring inchworm technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of the low control rate of Populus euphratica, the lack of research on dynamic changes in spatial distribution, and the threat to the survival of Populus euphratica. The ecological security of artificial oasis, etc. question

Active Publication Date: 2019-04-16
贾翔
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a dynamic simulation method for the occurrence and spread of Populus euphratica inchworm based on the CLUE-S model, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the lack of dynamic changes in the spatial distrib

Method used

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  • A dynamic simulation method for a spreading process of Apocheima cinerarius Ershoff based on a CLUE-S model
  • A dynamic simulation method for a spreading process of Apocheima cinerarius Ershoff based on a CLUE-S model
  • A dynamic simulation method for a spreading process of Apocheima cinerarius Ershoff based on a CLUE-S model

Examples

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Embodiment 1

[0079] Embodiment one: as attached figure 1 , 2 , 3, the dynamic simulation method of the Populus euphratica inchworm occurrence and spread process based on the CLUE-S model includes the following steps:

[0080] The first step is to collect basic data related to Populus euphratica pests in the study area;

[0081] The above-mentioned basic data of the study area mainly include place names, administrative boundaries, main water systems and rivers, main roads, residential areas and other element data within the study area, as well as main pest types.

[0082] The second step is to extract the pest data of Populus euphratica to be analyzed in the study area, including:

[0083] (1) Preprocess data to obtain time series data;

[0084] (2) Extract the pest information after the pretreatment, and adopt the S-G filtering method to analyze the time series curve;

[0085] The S-G filtering method is used above to analyze and reconstruct the time series curve, and to process outlie...

Embodiment 2

[0134] Embodiment 2: as Figures 5 to 20 As shown, taking the distribution area of ​​Populus euphratica forest in Xiahe Forest District, Bachu County, Xinjiang as the research area, the occurrence of spring inchworm pests in Populus euphratica was studied, and the pest occurrence areas in 2001, 2006, 2011, and 2016 were extracted using multi-temporal and medium-resolution MODIS data. Combined with field sampling and field investigation, the CLUE-S model was used to analyze and predict the occurrence and distribution of insect pests. The inversion of the spring inchworm pests of Populus euphratica in 2006 was carried out, and the spatial distribution of each level of spring inchworm pests in Populus euphratica in 2020 was predicted. Combined with the field survey, the corridor effect of the occurrence of Populus euphratica pests was verified.

[0135] This example uses Landsat images to determine the distribution area of ​​Populus euphratica forest, and uses the MODIS13Q1NDVI d...

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Abstract

The invention relates to the technical field of prevention and control of inchworm diseases and insect pests of populus euphratica, in particular to dynamic simulation method for a spreading process of Apocheima cinerarius Ershoff based on a CLUE-S model. The method comprises the following steps: step 1, collecting basic data of insect pests of the ectropis obliqua of a research area; 2, extracting to-be-analyzed inchworm pest data of the populus euphratica in the research area; 3, simulating the Apocheima cinerarius Ershoff based on the CLUE-S model, and 4, based on simulation prediction analysis, the spreading of the ectropis obliqua has a gallery effect; And 5, verifying the gallery effect. Remote sensing means and CLUE- S model carries out spatial dynamic research on the inchworm insect pest information of the populus euphratica; The method can be used as a basis for remote sensing extraction of the euphrasia cristata insect pest information in other areas, provides an early warning effect, can realize targeted prevention and control of euphrasia cristata insect pest disasters, promotes development of a comprehensive prevention and control technology with ecological control asa core, and provides reliable time points and azimuth points for proposing prevention and control measures.

Description

technical field [0001] The invention relates to the technical field of pest control of Populus euphratica and relates to a dynamic simulation method for the occurrence and spread of Populus euphratica inchworm based on the CLUE-S model. Background technique [0002] Forest pests and diseases are one of the main factors affecting forest health. On a large spatial scale, it is not uncommon to use remote sensing technology to monitor the phenomenon of leaf loss caused by forest diseases and insect pests. If the leaf loss of the tree is serious, it may cause the death of the plant, and even lead to the decline of the tree in a large area. [0003] Populus euphratica (Populuseuphratica), also known as Populus heterophyllum, is a special desert vegetation, drought-resistant and flood-resistant, tenacious vitality, is one of the rare tree species in nature. In Bachu County, the southwestern edge of the Tarim Basin in Xinjiang, because it is far away from the sea, the precipitatio...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 贾翔陈孟禹黄铁成来风兵陈蜀江尹小英
Owner 贾翔
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