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

Forest fire risk assessment method based on space Logistic

A forest fire and risk assessment technology, applied in the field of forest fire risk assessment, can solve the problems of low accuracy of forest fire risk detection or assessment, failure to form a forest fire risk probability model, and inability to scientifically manage and prevent forest fires.

Pending Publication Date: 2020-10-13
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
View PDF0 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above method does not have high accuracy in the detection or assessment of forest fire risk, and does not form a forest fire risk probability model, so it is impossible to scientifically manage and prevent forest fires

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
  • Forest fire risk assessment method based on space Logistic
  • Forest fire risk assessment method based on space Logistic
  • Forest fire risk assessment method based on space Logistic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The scheme of the present invention is described in detail below in conjunction with accompanying drawing, the scheme of the embodiment of the present invention comprises the following steps:

[0034] 1) collect the surface temperature data set;

[0035] 2) collect normalized vegetation index data set;

[0036] 3) Collect GDP spatial distribution data set and vegetation type spatial distribution data set;

[0037] 4) Collect DEM digital elevation datasets and surface climate data monthly value datasets;

[0038] 5) Calculate the vegetation drought index by formula;

[0039] 6) Establish a spatial Logistic forest fire risk probability model;

[0040] 7) Assess the forest fire risk in the area to be tested.

[0041] Using the above method to assess the forest fire risk in several counties and cities in Hunan Province:

[0042] 1. Materials and methods

[0043] 1.1 Overview of the object area

[0044] Hunan Province is located in the central part of China, between 2...

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 relates to forest fire prevention, in particular to a forest fire risk assessment method based on space Logistic. The method comprises: 1) collecting a surface temperature data set; 2) collecting a normalized vegetation index data set; 3) collecting a GDP spatial distribution data set and a vegetation type spatial distribution data set; 4) collecting a DEM digital elevation data setand a ground climate data monthly value data set; 5) calculating a vegetation drought index through a formula; 6) establishing a spatial Logistic forest fire risk probability model; and 7) evaluatingthe forest fire risk of the to-be-detected area. According to the invention, forest fire monitoring data of the Chinese forest grassland fireproof net is used as basic data; data such as elevation (GC), gradient (PD), temperature (TEM), rainfall (RAIN), temperature vegetation drought index (TVDI), gross domestic product (GDP), vegetation type (ZB) and the like are used as forest fire danger influence factors. A spatial Logistic forest fire risk probability model is constructed, forest fire risk division can be carried out in a provincial domain range, and a scientific basis is provided for forest fire risk prevention and risk decision making.

Description

technical field [0001] The invention relates to a forest fire risk assessment method, in particular to a space Logistic-based forest fire risk assessment method. Background technique [0002] Forest fire is a very destructive natural disaster, which not only damages forest resources, destroys the ecological environment, affects national economic development and social stability, but also poses a huge threat to people's life and property safety. Taking Hunan Province as an example, according to statistics, from 2008 to 2018, a total of 11,560 forest fires occurred in Hunan Province, with a total of 112 casualties and a total of 119.985 million yuan in direct economic losses. Therefore, scientific and reasonable forest fire risk assessment has important practical significance for forest fire monitoring, prevention and control. Studies at home and abroad have shown that the occurrence of forest fires is related to many factors. For example, Salame et al. used the Logistic meth...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06F30/20G06F17/18
CPCG06Q10/0635G06F30/20G06F17/18
Inventor 张贵王双谭三清
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com