CN113469525A - Forest grassland fire weather grade evaluation method based on dominant factor evaluation - Google Patents

Forest grassland fire weather grade evaluation method based on dominant factor evaluation Download PDF

Info

Publication number
CN113469525A
CN113469525A CN202110736188.6A CN202110736188A CN113469525A CN 113469525 A CN113469525 A CN 113469525A CN 202110736188 A CN202110736188 A CN 202110736188A CN 113469525 A CN113469525 A CN 113469525A
Authority
CN
China
Prior art keywords
grade
forest
weather
humidity
grassland
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202110736188.6A
Other languages
Chinese (zh)
Other versions
CN113469525B (en
Inventor
张思玉
张春霞
翟春婕
何诚
陈戈萍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Forest Police College
Original Assignee
Nanjing Forest Police College
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Forest Police College filed Critical Nanjing Forest Police College
Priority to CN202110736188.6A priority Critical patent/CN113469525B/en
Publication of CN113469525A publication Critical patent/CN113469525A/en
Application granted granted Critical
Publication of CN113469525B publication Critical patent/CN113469525B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/02Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
    • G01W1/06Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed giving a combined indication of weather conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Ecology (AREA)
  • Game Theory and Decision Science (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Primary Health Care (AREA)
  • Environmental Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • General Health & Medical Sciences (AREA)
  • Remote Sensing (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
  • Image Processing (AREA)

Abstract

The invention discloses a method for evaluating the weather grade of forest grassland fire insurance based on dominant factor evaluation, which is characterized in that precipitation and wind speed are taken as dominant factors, then temperature and humidity are fused into a comprehensive index temperature and humidity which is taken as a basic factor, finally, the moisture content of surface dead combustible materials on the forest grassland is taken as a qualitative grade to carry out comprehensive evaluation, and the evaluation is divided into 5 grades. The method not only considers the contribution of single factors such as atmospheric temperature, atmospheric humidity, rainfall, wind speed and surface dead combustible water content to the fire danger level of the forest and grassland, but also considers the mutual influence of 'between every two' and 'between multiple factors' and the interactive contribution to the fire danger level of the forest and grassland; and constructing a new index scoring standard, giving score values of all indexes in different seasons, giving a calculation formula of forest grassland fire hazard weather index values (HTZ), and unifying the calculation result with the current standard.

Description

Forest grassland fire weather grade evaluation method based on dominant factor evaluation
Technical Field
The invention belongs to the technical field of resources and environment, and relates to a technology and a method for protecting forest and grassland resources and environment. More particularly, the invention relates to a method for evaluating the weather grade of forest grassland fire insurance based on dominant factor evaluation.
Background
The forest grassland fire risk weather grade is mainly characterized in that the influence of the change of weather and meteorological elements in a short period on the inflammability of forest and grassland combustibles is mainly considered, and the grade of fire risk is divided according to the change, and is called as the fire risk weather grade.
"national forest fire weather grade" (LY/T1172-95) is formulated by the ministry of Wangxiangxiang et al of forest protection research institute of Heilongjiang, and the national forest industry standard implemented by the former Ministry of forestry 6 and 22 in 1995 and 12 and 1 in 1995 is still used up to now.
In the standard, the forest fire weather rating is determined by a forest fire weather index (HTZ), which is calculated as:
HTZ=A+B+C+D-E
in the formula: HTZ is a forest fire weather index value; a is the highest air temperature index value; b is a minimum relative humidity index value; c is a continuous no-rain index value; d is the maximum wind index value; e is a phenological season index value; the tables 1 to 6 are looked up respectively.
TABLE 1 forest fire weather index A value of highest air temperature
Figure BDA0003141806470000011
TABLE 2 forest fire weather index B value of minimum relative humidity
Figure BDA0003141806470000021
TABLE 3 forest fire weather index C value of days without rainfall and successive days without rainfall thereafter
Figure BDA0003141806470000022
Note: calculating the precipitation amount of less than 0.3 mm; when the C value is more than 30, the C value is increased by 5 every 1 day, and when the C value is more than 50, the C value is still calculated by 50.
TABLE 4 forest fire index D value of maximum wind power level per day in forest fire prevention period
Figure BDA0003141806470000023
Figure BDA0003141806470000031
TABLE 5 correction index E values for the seasonal influence of biotic and abiotic substances in the forest fire prevention period
Figure BDA0003141806470000032
TABLE 6 national forest fire weather rating Standard
Figure BDA0003141806470000033
It can be seen that the determination of the index value (HTZ) of the forest fire risk weather grade is actually a simple addition of score values of A, B, C, D, E factors, and mutual influence among the factors is not considered, so that the calculated fire risk weather grade has a great deviation from the actual value, and the obtained result may mislead the fire prevention work of the forest grassland, so that the small fire which can be prevented originally becomes a disaster. For example, spring is a forest and grassland fire protection period around the country, that is, the weather rating of the forest and grassland fire insurance in spring is relatively high nationwide. However, the air temperature in spring is generally low, the "a value" in most areas of the country is a value of "0, 4, 6", and the area that can be divided into "12" is few, obviously, the result calculated according to "HTZ ═ a + B + C + D-E" will often fall into the first level (no danger) and the second level (low danger), so the wrong result appears, mainly the contribution of the wind in spring is far greater than the "D value" given in table 4, that is, the so-called "windy and no-wet firewood"! For another example, after rainfall or snowfall, forest-grassland fires hardly occur, and the forest-grassland fire risk weather is mostly of one-level (no risk) and two-level (low risk), but the result calculated by "HTZ ═ a + B + C + D-E" may fall into three-level (moderate risk) or even four-level (high risk). Therefore, it is necessary and urgent to construct a forest grassland fire weather grade assessment method based on dominant factor assessment.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method for evaluating the forest grassland fire disaster weather grade based on dominant factor evaluation, the invention constructs an evaluation method for evaluating the forest grassland fire disaster weather grade by using 'the dominant factor' to influence 'a basic factor' and 'the basic factor' to determine the water content of the surface dead combustible of the forest grassland and further evaluating the forest grassland fire disaster weather grade, and a specific flow chart can be shown in figure 1.
The method for evaluating the weather grade of the forest grassland fire hazard based on the dominant factor evaluation comprises the steps of taking precipitation and wind speed as the dominant factors, fusing temperature and humidity into a comprehensive index temperature and humidity as basic factors, finally, taking the moisture content of the surface dead combustible of the forest grassland as a qualitative grade to carry out comprehensive evaluation, and dividing evaluation results into 5 grades which are respectively a first grade, a second grade, a third grade, a fourth grade and a fifth grade.
The improvement is that the grade of the forest grassland fire weather is determined by a forest grassland fire weather index value (HTZ), and a calculation formula is as follows:
Figure BDA0003141806470000041
in the formula, HTZ is a weather index value of the fire disaster in the forest and grassland;
a is the score of the number of days without precipitation and the number of consecutive days without precipitation after precipitation (Table 8);
Aicontribution value for precipitation;
b is the wind speed score value (table 9);
WSitemperature and humidity scores (table 10);
Higrading values are obtained for the water content grades of the dead combustible on the surface of the forest grassland (Table 11);
when the HTZ is less than or equal to 25, the fire disaster weather grade of the forest and grassland is first grade;
when the HTZ is 26-50, the forest grassland fire disaster weather grade is second grade;
when the HTZ is 51-72, the forest grassland fire disaster weather grade is three-grade;
when the HTZ is 73-90, the forest grassland fire disaster weather grade is four;
when the HTZ is more than or equal to 91, the weather grade of the forest grassland fire danger is five grade.
The improvement is that when precipitation exists and the precipitation amount is more than or equal to 5mm, the precipitation contribution value is marked as AiWhen no precipitation exists or the precipitation is less than 5mm, the precipitation contribution value is marked as Ai=1。
As an improvement, the first level is no danger, no combustion and no spreading; the second level is low-degree danger, difficult to burn and difficult to spread; the third level is moderate danger, can burn, can spread; the fourth stage is highly dangerous, easy to burn and easy to spread; the fifth grade is extremely dangerous, extremely easy to burn and extremely easy to spread.
As a refinement, B is a wind speed score value, where wind speed is the wind speed at 10m from the bottom surface.
As a refinement, the HiAre of qualitative grade, respectively very low H1Low H2Medium H3High H4Very high H5
As an improvement, the WSiIn qualitative scale, respectively, WS of low temperature and low humidity1Low temperature and moderate humidity WS2Low temperature and high humidity WS3Moderate temperature and low humidity WS4Moderate temperature and humidity WS5Moderate temperature and high humidity WS6High temperature and low humidity WS7High temperature and moderate humidity WS8High temperature and high humidity WS9
Has the advantages that:
compared with the prior art, the method for evaluating the weather grade of the forest grassland fire disaster based on the dominant factor evaluation has the following advantages:
1. the method not only considers the contribution of single factors such as atmospheric temperature, atmospheric humidity, rainfall, wind speed and the water content of surface dead combustible to the fire danger level of the forest and grassland, but also considers the mutual influence between every two factors and between multiple factors and the interactive contribution to the fire danger level of the forest and grassland; establishing a new index scoring standard, giving score values of indexes in different seasons, giving a calculation formula of a forest grassland fire disaster weather index value (HTZ), unifying a calculation result with the existing standard, accurately determining the grade of the forest grassland fire disaster weather, giving early warning of the forest grassland fire disaster, preventing early, ensuring that no major forest fire disaster occurs locally, achieving 'fire disaster does not occur', and being beneficial to protecting the safety of ecological environment so as to prevent the forest grassland resource and the life and property of people from being damaged and lost;
2. the invention solves the problem of poor usability of the existing standard, highlights the leading factor of forest and grassland fire hazards, for example, after precipitation, the formula is provided by the invention, the fire hazards of 'moderate' and above cannot appear, and the action of the leading factor 'wind' is reflected in the formula;
3. by means of portable instruments and equipment, the more accurate the measurement of the wind speed and the atmospheric temperature and humidity during observation is, the closer the forest and grassland fire disaster weather grade calculated by using a formula is to the reality, and the accurate forest and grassland fire disaster weather grade can be obtained by using the formula through observation and experience accumulation;
4. the method provided by the invention is not limited by territory, is not limited by other factors, and can be used in any area and at any time.
Drawings
FIG. 1 is a flow chart of a method for evaluating weather levels of forest and grassland fires according to the present invention;
FIG. 2 is a schematic diagram of the influence mechanism of the leading factors, the basic factors and the water content of the forest grassland surface combustible.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Although only preferred methods and materials are described herein, any methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention. All documents mentioned in this specification are incorporated by reference herein for the purpose of disclosing and describing the methods and/or materials associated with the documents. In case of conflict with any incorporated document, the present specification will control.
The 'leading factor' selects precipitation and wind speed (quantitative indexes, respectively represented by 'A' and 'B'), and the influence modes of the 'leading factor' and the 'B' are 'independent' and 'common'; the 'basic factor' fuses the temperature and the humidity into a comprehensive index (quantitatively converted into qualitative grade: WS with low temperature and low humidity) of the temperature and the humidity (represented by 'WS')1Low temperature and moderate humidity WS2Low temperature and high humidity WS3Moderate temperature and low humidity WS4Moderate temperature and humidity WS5Moderate temperature and high humidity WS6High temperature and low humidity WS7High temperature and moderate humidity WS8High temperature and high humidity WS9) (ii) a The water content (represented by 'H') of the surface dead combustible of the forest grassland is qualitatively graded (very low H)1Low H2Medium H3High H4Very high H5) (ii) a See figure 2 for details.
To interface the present invention with the current standards, the standards that give the weather rating of the forest grassland fire hazard of the present invention are shown in table 7.
TABLE 7 weather rating Standard for forest and grassland fire insurance of the whole country
Figure BDA0003141806470000061
Figure BDA0003141806470000071
The forest grassland fire disaster weather grade is determined by a forest grassland fire disaster weather index value (HTZ), and the calculation formula is as follows:
Figure BDA0003141806470000072
in the formula: HTZ is a weather index value of the fire disaster in the forest and grassland;
a is the score of the number of days without precipitation and the number of consecutive days without precipitation after precipitation (Table 8);
Aiwhen the precipitation is present and the precipitation amount is more than or equal to 5mm, the contribution value is marked as AiWhen no precipitation or precipitation is less than 5mm, it is marked as Ai=1;
B is the wind speed score value (table 9);
WSitemperature and humidity scores (table 10);
Hiand (4) grading values of the water content of the dead combustible on the surface of the forest grassland (Table 11).
TABLE 8 score of days without precipitation and subsequent days without precipitation
Figure BDA0003141806470000073
Note: after the A value reaches 15, no precipitation exists every 1 day, and the A value is increased by 5.
TABLE 9 score for maximum wind rating per day
Figure BDA0003141806470000074
Figure BDA0003141806470000081
TABLE 10 score of temperature and humidity
Figure BDA0003141806470000082
TABLE 11 forest grassland surface dead combustible water content grade score values
Figure BDA0003141806470000091
From the above, the method not only considers the contribution of single factors such as atmospheric temperature, atmospheric humidity, rainfall, wind speed and the moisture content of surface dead combustible to the fire level of the forest and grassland, but also considers the mutual influence of 'between every two' and 'between multiple factors' and the interactive contribution to the fire level of the forest and grassland; the method comprises the steps of establishing a new index scoring standard, giving score values of indexes in different seasons, giving a calculation formula of a forest grassland fire disaster weather index value (HTZ), unifying a calculation result with the existing standard, accurately determining the grade of the forest grassland fire disaster weather, giving early warning of the forest grassland fire disaster, preventing early, ensuring that no serious forest fire occurs locally, achieving 'fire disaster does not occur', and being beneficial to protecting the safety of ecological environment so that forest grassland resources and life and property of people are not damaged and lost.
The above description is only a preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, and any simple modifications or equivalent substitutions of the technical solutions that can be obviously obtained by those skilled in the art within the technical scope of the present invention are within the scope of the present invention.

Claims (7)

1. The method for evaluating the weather grade of the forest grassland fire hazard based on the dominant factor evaluation is characterized in that rainfall and wind speed are used as the dominant factor, temperature and humidity are fused into a comprehensive index temperature and humidity which is used as a basic factor, finally, the moisture content of the surface dead combustible of the forest grassland is used as a qualitative grade to carry out comprehensive evaluation, and evaluation results are divided into 5 grades which are respectively a first grade, a second grade, a third grade, a fourth grade and a fifth grade.
2. The method for assessing the weather level of the forest grassland fire disaster based on the dominant factor assessment as claimed in claim 1, wherein the weather level of the forest grassland fire disaster is determined by a forest grassland fire disaster weather index value, and a calculation formula is as follows:
Figure FDA0003141806460000011
in the formula, HTZ is a weather index value of the fire disaster in the forest and grassland;
a is the score of the number of days without precipitation and the number of consecutive days without precipitation;
Aicontribution value for precipitation;
b is the wind speed score value;
WSithe values of the temperature and humidity are obtained;
Hiobtaining a value for the grade of the water content of the dead combustible on the surface of the forest grassland;
when the HTZ is less than or equal to 25, the fire disaster weather grade of the forest and grassland is first grade;
when the HTZ is 26-50, the forest grassland fire disaster weather grade is second grade;
when the HTZ is 51-72, the forest grassland fire disaster weather grade is three-grade;
when the HTZ is 73-90, the forest grassland fire disaster weather grade is four;
when the HTZ is more than or equal to 91, the weather grade of the forest grassland fire danger is five grade.
3. The method as claimed in claim 2, wherein when there is precipitation and the precipitation amount is greater than or equal to 5mm, the precipitation contribution value is recorded as AiWhen no precipitation exists or the precipitation is less than 5mm, the precipitation contribution value is marked as Ai=1。
4. The method for evaluating the weather rating of the forest grassland fire hazard based on the dominant factor evaluation as claimed in claim 2, wherein the first level is no danger, no combustion and no spreading; the second level is low-degree danger, difficult to burn and difficult to spread; the third level is moderate danger, can burn, can spread; the fourth stage is highly dangerous, easy to burn and easy to spread; the fifth grade is extremely dangerous, extremely easy to burn and extremely easy to spread.
5. The method for evaluating the weather rating of the forest grassland fire disaster based on the dominant factor evaluation as claimed in claim 2, wherein B is a wind speed score value, wherein the wind speed is the wind speed at a distance of 10m from the bottom surface.
6. The forest grassland fire weather rating assessment method based on leading factor assessment as claimed in claim 2, wherein the H isiAre of qualitative grade, respectively very low H1Low H2Medium H3High H4Very high H5
7. The forest grassland fire weather rating assessment method based on leading factor assessment as claimed in claim 2, wherein the WS isiIn qualitative scale, respectively, WS of low temperature and low humidity1Low temperature and moderate humidity WS2Low temperature and high humidity WS3Moderate temperature and low humidity WS4Moderate temperature and humidity WS5Moderate temperature and high humidity WS6High temperature and low humidity WS7High temperature and moderate humidity WS8High temperature and high humidity WS9
CN202110736188.6A 2021-06-30 2021-06-30 Forest grassland fire weather grade assessment method based on dominant factor assessment Active CN113469525B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110736188.6A CN113469525B (en) 2021-06-30 2021-06-30 Forest grassland fire weather grade assessment method based on dominant factor assessment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110736188.6A CN113469525B (en) 2021-06-30 2021-06-30 Forest grassland fire weather grade assessment method based on dominant factor assessment

Publications (2)

Publication Number Publication Date
CN113469525A true CN113469525A (en) 2021-10-01
CN113469525B CN113469525B (en) 2023-07-21

Family

ID=77876427

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110736188.6A Active CN113469525B (en) 2021-06-30 2021-06-30 Forest grassland fire weather grade assessment method based on dominant factor assessment

Country Status (1)

Country Link
CN (1) CN113469525B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114048614A (en) * 2021-11-16 2022-02-15 中科三清科技有限公司 Method and device for predicting environmental pollution

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101620451A (en) * 2008-06-30 2010-01-06 中国林业科学研究院森林生态环境与保护研究所 Quick search ruler for forest fire danger classes
US20140132409A1 (en) * 2012-11-15 2014-05-15 Wildfire Defense Systems, Inc. Wildfire risk assessment
CN205607426U (en) * 2016-03-24 2016-09-28 南京林业大学 Indoor accelerated test device of forest fire based on wireless sensor network
JP6006902B1 (en) * 2016-07-28 2016-10-12 株式会社日立パワーソリューションズ Fire simulation apparatus, fire simulation method, and fire simulation program
CN110379113A (en) * 2019-06-28 2019-10-25 北京中科锐景科技有限公司 A method of based on satellite remote sensing date Forest Fire Alarm
CN111970384A (en) * 2020-10-20 2020-11-20 四川极云智飞科技有限公司 Forest fire danger level real-time dynamic monitoring system and method
US20210110691A1 (en) * 2019-10-10 2021-04-15 Ai4 International Oy Method and system for determining area of fire and estimating progression of fire
CN114004466A (en) * 2021-10-14 2022-02-01 长光卫星技术有限公司 Multi-source data fused refined forest fire risk assessment method

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101620451A (en) * 2008-06-30 2010-01-06 中国林业科学研究院森林生态环境与保护研究所 Quick search ruler for forest fire danger classes
US20140132409A1 (en) * 2012-11-15 2014-05-15 Wildfire Defense Systems, Inc. Wildfire risk assessment
CN205607426U (en) * 2016-03-24 2016-09-28 南京林业大学 Indoor accelerated test device of forest fire based on wireless sensor network
JP6006902B1 (en) * 2016-07-28 2016-10-12 株式会社日立パワーソリューションズ Fire simulation apparatus, fire simulation method, and fire simulation program
CN110379113A (en) * 2019-06-28 2019-10-25 北京中科锐景科技有限公司 A method of based on satellite remote sensing date Forest Fire Alarm
US20210110691A1 (en) * 2019-10-10 2021-04-15 Ai4 International Oy Method and system for determining area of fire and estimating progression of fire
CN111970384A (en) * 2020-10-20 2020-11-20 四川极云智飞科技有限公司 Forest fire danger level real-time dynamic monitoring system and method
CN114004466A (en) * 2021-10-14 2022-02-01 长光卫星技术有限公司 Multi-source data fused refined forest fire risk assessment method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
杨晓丹: "耦合植被与T639模式的森林火险气象潜势预报", 《科技导报》, vol. 36, no. 8, pages 87 - 92 *
梁莉: "修正的布龙-戴维斯森林火险气象指数模型在中国的适用性", 《科技导报》, vol. 37, no. 20, pages 65 - 75 *
翟春婕: "一种基于数据融合的林火火线动态蔓延预测方法的研究", 《火灾科学》, vol. 27, no. 3, pages 141 - 147 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114048614A (en) * 2021-11-16 2022-02-15 中科三清科技有限公司 Method and device for predicting environmental pollution
CN114048614B (en) * 2021-11-16 2023-01-10 中科三清科技有限公司 Method and device for predicting environmental pollution

Also Published As

Publication number Publication date
CN113469525B (en) 2023-07-21

Similar Documents

Publication Publication Date Title
Stohl et al. Black carbon in the Arctic: the underestimated role of gas flaring and residential combustion emissions
Wu et al. Relative effects of climatic and local factors on fire occurrence in boreal forest landscapes of northeastern China
Smith et al. Greenhouse gases from biomass and fossil fuel stoves in developing countries: A Manila pilot study
CN108764681B (en) Risk assessment method and system for adjacent underground space at gas pipeline leakage position
Hanna et al. Hazard Response Modeling Uncertainity (a Quantitative Method)
Malevsky-Malevich et al. An assessment of potential change in wildfire activity in the Russian boreal forest zone induced by climate warming during the twenty-first century
Ciais et al. Biofuel burning and human respiration bias on satellite estimates of fossil fuel CO2 emissions
Harris et al. Corrigendum to: Forecasting fire activity in Victoria, Australia, using antecedent climate variables and ENSO indices
CN113469525A (en) Forest grassland fire weather grade evaluation method based on dominant factor evaluation
Zhu et al. FLEXPART v10. 1 simulation of source contributions to Arctic black carbon
Price et al. Fuel consumption rates in resprouting eucalypt forest during hazard reduction burns, cultural burns and wildfires
CN101620451A (en) Quick search ruler for forest fire danger classes
CN110910045A (en) Meteorological disaster defense method and system
Ponomarev et al. The intensity of wildfires in fire emissions estimates
Happonen et al. Size distribution, chemical composition, and hygroscopicity of fine particles emitted from an oil-fired heating plant
Rocha et al. Analysis of the evolution of Brazilian Ports’ environmental performances
Butterfield et al. An investigation into the effects of off-shore shipping emissions on coastal black carbon concentrations
Guler et al. Climate change policy and performance of Turkiye in the EU harmonization process
CN111564023B (en) Method and system for setting leakage alarm threshold of buried gas pipeline
Stohl et al. Why models struggle to capture Arctic Haze: the underestimated role of gas flaring and domestic combustion emissions.
Tasnuva et al. Impact of air pollutant on human health in kushtia sugar mill, bangladesh
Cechet et al. Fire impact and risk evaluation decision support tool (FIREDST)
Slijepcevic et al. Hourly variation in fine fuel moisture in eucalypt forests in Tasmania
Phumkokrux et al. Simulation of mean monthly maximum temperature in summer of northern region, Thailand using INMCM4. 0 model
Thongthammachart et al. Health Risk Assessment of Nitrogen Dioxide and Sulfur Dioxide Exposure from a New Developing Coal Power Plant in Thailand.

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant