Wild fire risk assessment method and system based on meteorological drought, terminal equipment and storage medium

Abstract

The invention discloses a mountain fire risk assessment method and system based on meteorological drought, terminal equipment and a storage medium, and belongs to the field of mountain fire risk assessment. Obtaining a weather drought index of the day in combination with the effective precipitation of the day; calculating a drought factor according to the index and historical rainfall data; finally, the drought factor, the ground temperature, the relative humidity and the wind speed of the day are integrated, the mountain fire risk level is determined, multi-dimensional meteorological elements are integrated, data of the day and historical data are combined, the drought change process is accurately tracked, the accuracy of mountain fire risk assessment is effectively improved, and the problem that in the prior art, only a rainfall factor serves as a single factor of drought assessment, and the accuracy of mountain fire risk assessment is poor is solved. Key meteorological factors such as temperature, relative humidity and wind speed are neglected, so that the drought assessment index is inaccurate, and the forest fire risk assessment is inaccurate.

Description

Technical Field

[0001] The present invention relates to the field of wildfire risk assessment, and in particular to a wildfire risk assessment method, system, terminal device and storage medium based on meteorological drought. Background Art

[0002] In recent years, wildfires have become frequent worldwide. Their suddenness, destructive power, and challenging emergency response pose a serious threat to the ecological environment, social economy, and human life and property. Research has shown a close coupling between drought and wildfires. During droughts, soil and vegetation lose moisture, becoming dry and flammable. This provides a large amount of fuel for wildfires, accelerating their spread and increasing the difficulty of firefighting.

[0003] Currently, the American Meteorological Society categorizes droughts into meteorological, agricultural, hydrological, and socioeconomic types. Meteorological droughts are the foundation for studying other drought types and their associated hazards, such as wildfires. However, existing technologies typically use only daily precipitation as a single factor in drought assessment, ignoring key meteorological factors such as temperature, relative humidity, and wind speed. This results in inaccurate drought assessment indices and, consequently, inaccurate wildfire risk assessments. Summary of the Invention

[0004] The present invention provides a wildfire risk assessment method, system, terminal device and storage medium based on meteorological drought, which can solve the problem that the existing technology only uses the precipitation factor of the day as a single factor for drought assessment, ignoring key meteorological elements such as temperature, relative humidity, and wind speed, resulting in inaccurate drought assessment index and thus inaccurate wildfire risk assessment.

[0005] To solve the above technical problems, an embodiment of the present invention provides a wildfire risk assessment method based on meteorological drought, comprising:

[0006] Obtain the previous day's meteorological drought index, the highest ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation, and the number of historical precipitation days;

[0007] Calculate the daily change of the meteorological drought index based on the previous day's meteorological drought index, the maximum ambient temperature of the day, and the average annual precipitation;

[0008] Calculate the meteorological drought index for the day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day, and the effective precipitation on the day;

[0009] Calculate the drought factor for the day based on the meteorological drought index, historical precipitation, and number of historical precipitation days;

[0010] The wildfire risk index for the day is calculated based on the drought factor, ground temperature, relative humidity and wind speed for the day, and the wildfire risk level is determined based on the wildfire risk index for the day.

[0011] Furthermore, the calculation formula for the daily variation of the meteorological drought index is:

[0012]

[0013] Among them, ΔQ is the daily variation of meteorological drought index; Q t-1 is the meteorological drought index of the previous day; T max is the maximum ambient temperature of the day; R y is the average annual precipitation.

[0014] Furthermore, the calculation formula of the meteorological drought index for the day is:

[0015] Q t =Q t-1 +ΔQ-R eff ;

[0016] Among them, Q t is the meteorological drought index of the day; ΔQ is the daily variation of the meteorological drought index; Q t-1 is the meteorological drought index of the previous day; R eff It is the effective precipitation for the day.

[0017] Furthermore, the calculation formula of the drought factor for the day is:

[0018]

[0019] Among them, DF is the drought factor of the day; Q t is the meteorological drought index for the day; y is the impact of historical precipitation and historical precipitation days on the drought factor.

[0020] Furthermore, the calculation formula for the impact of the historical precipitation and the number of historical precipitation days on the drought factor is:

[0021]

[0022] Among them, y is the impact value of historical precipitation and historical precipitation days on the drought factor; N is the historical precipitation days; P is the historical precipitation.

[0023] Furthermore, the calculation formula for the wildfire risk index for the day is:

[0024]

[0025] Wherein, WFRI is the wildfire risk index of the day, DF is the drought factor of the day; T Dis the ground temperature on the day; RH is the relative humidity on the day; SPD is the wind speed on the day.

[0026] Furthermore, the wildfire risk level is determined based on the wildfire risk index of the day, including:

[0027] The wildfire risk index of the day is compared with the upper limit index and lower limit index of the preset risk assessment interval to determine the wildfire risk level of the day; wherein the preset risk assessment intervals include: low risk assessment interval, medium risk assessment interval, high risk assessment interval, strong risk assessment interval and extreme risk assessment interval; the upper limit index of the low risk assessment interval is less than the lower limit index of the medium risk assessment interval; the upper limit index of the medium risk assessment interval is less than the lower limit index of the high risk assessment interval; the upper limit index of the high risk assessment interval is less than the lower limit index of the strong risk assessment interval; the upper limit index of the strong risk assessment interval is less than the lower limit index of the extreme risk assessment interval.

[0028] Based on the above method embodiment, the present invention provides a corresponding system embodiment;

[0029] An embodiment of the present invention provides a wildfire risk assessment system based on meteorological drought, comprising: a data acquisition module, a meteorological drought index daily variation calculation module, a daily meteorological drought index calculation module, a daily drought factor calculation module, and a wildfire risk level assessment module;

[0030] The data acquisition module is used to obtain the meteorological drought index of the previous day, the maximum ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation and the number of historical precipitation days;

[0031] The meteorological drought index daily variation calculation module is used to calculate the meteorological drought index daily variation based on the meteorological drought index of the previous day, the maximum ambient temperature of the day and the annual average precipitation;

[0032] The meteorological drought index calculation module for the current day is used to calculate the meteorological drought index for the current day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day and the effective precipitation for the current day;

[0033] The daily drought factor calculation module is used to calculate the daily drought factor based on the daily meteorological drought index, historical precipitation and historical precipitation days;

[0034] The wildfire risk level assessment module is used to calculate the wildfire risk index of the day based on the drought factor of the day, the ground temperature of the day, the relative humidity of the day and the wind speed of the day, and determine the wildfire risk level based on the wildfire risk index of the day.

[0035] Based on the above-mentioned method embodiment, another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a wildfire risk assessment method based on meteorological drought as described in the above-mentioned embodiment.

[0036] Based on the above method embodiment, another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the wildfire risk assessment method based on meteorological drought described in the above embodiment.

[0037] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0038] The present invention obtains the meteorological drought index of the previous day, multiple meteorological data of the day and historical precipitation information, first calculates the daily change of the meteorological drought index based on the meteorological drought index of the previous day, the maximum ambient temperature of the day and the annual average precipitation, and then obtains the meteorological drought index of the day in combination with the effective precipitation of the day; then calculates the drought factor based on the meteorological drought index of the day and the historical precipitation data; finally, the drought factor, the ground temperature of the day, the relative humidity and the wind speed are comprehensively considered to obtain the wildfire risk index of the day and determine the risk level. The present invention not only takes into account the precipitation factor, but also takes into account key meteorological elements such as temperature, relative humidity, wind speed, etc., comprehensively integrates multi-dimensional meteorological elements, and also combines the data of the day with historical data to track the drought change process, effectively improving the accuracy and reliability of wildfire risk assessment, and solving the problem that the existing technology only uses the precipitation factor of the day as the single factor for drought assessment, ignores key meteorological elements such as temperature, relative humidity, wind speed, etc., resulting in inaccurate drought assessment index and further inaccurate wildfire risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A flowchart of a wildfire risk assessment method based on meteorological drought provided by an embodiment of the present invention;

[0040] Figure 2 A module diagram of a wildfire risk assessment system based on meteorological drought provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0042] Example 1:

[0043] Reference Figure 1 , which is a flow chart of a wildfire risk assessment method based on meteorological drought provided by an embodiment of the present invention; to address the problem that the prior art only uses the precipitation factor of the day as a single factor for drought assessment, ignoring key meteorological elements such as temperature, relative humidity, and wind speed, resulting in inaccurate drought assessment index and, in turn, inaccurate wildfire risk assessment, the method includes at least the following steps:

[0044] Step S1: Obtain the meteorological drought index of the previous day, the maximum ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation and the number of historical precipitation days;

[0045] In this embodiment, the real-time parameters such as the meteorological drought index of the previous day, the maximum ambient temperature of the day, the ground temperature, the relative humidity, the wind speed, etc. can be collected and transmitted in real time by a ground meteorological station or a satellite remote sensing system; the annual average precipitation, historical precipitation (such as the cumulative value of the past 20 days) and the historical number of precipitation days (such as the cumulative value of the number of precipitation days in the past 20 days) can be extracted from the long-term climate database of the meteorological department; the effective precipitation on the day is the observed value of the precipitation on the day at the ground meteorological station minus a preset loss value, and the preset loss value can be set to 5 mm.

[0046] Step S2: Calculate the daily change of the meteorological drought index based on the meteorological drought index of the previous day, the maximum ambient temperature of the day, and the average annual precipitation;

[0047] In this embodiment, the calculation formula for the daily variation of the meteorological drought index is:

[0048]

[0049] Among them, ΔQ is the daily variation of meteorological drought index; Q t-1 is the meteorological drought index of the previous day; T max is the maximum ambient temperature of the day; R y is the average annual precipitation.

[0050] In this embodiment, the daily variation of the meteorological drought index is calculated based on the previous day's meteorological drought index, the maximum ambient temperature of the day, and the average annual precipitation. Two important factors, temperature and long-term precipitation, are introduced. Temperature is a key factor affecting water evaporation and the degree of vegetation dryness, while the average annual precipitation reflects the local climate background. By comprehensively considering these factors to calculate the daily variation, it is possible to capture the dynamic changes of meteorological drought in the short term and more sensitively reflect the real-time evolution of the drought degree. This avoids the errors that may be caused by evaluating drought based solely on static data and provides a more reliable basis for the subsequent accurate calculation of the meteorological drought index for the day.

[0051] Step S3: Calculate the meteorological drought index for the day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day, and the effective precipitation for the day;

[0052] In this embodiment, the calculation formula of the meteorological drought index of the day is:

[0053] Q t =Q t-1 +ΔQ-R eff ;

[0054] Among them, Q t is the meteorological drought index of the day; ΔQ is the daily variation of the meteorological drought index; Q t-1 is the meteorological drought index of the previous day; R eff It is the effective precipitation for the day.

[0055] In this embodiment, the meteorological drought index for a given day is calculated by combining the daily variation of the meteorological drought index, the previous day's meteorological drought index, and the effective precipitation on that day, fully considering the continuity of drought and the actual impact of precipitation on that day. The meteorological drought index of the previous day reflects the historical accumulation of drought, the daily variation reflects short-term dynamic changes, and the effective precipitation on that day is the direct factor affecting the drought conditions on that day. This comprehensive calculation method can more accurately characterize the actual degree of drought on that day. Compared with the assessment method in the existing technology that relies solely on the precipitation factor, it greatly improves the accuracy of the meteorological drought index and provides a more solid foundation for subsequent wildfire risk assessment.

[0056] Step S4: Calculate the drought factor for the day based on the meteorological drought index for the day, historical precipitation, and historical precipitation days;

[0057] In this embodiment, the calculation formula of the drought factor for the day is:

[0058]

[0059] Among them, DF is the drought factor of the day; Q tis the meteorological drought index for the day; y is the impact of historical precipitation and historical precipitation days on the drought factor.

[0060] In this embodiment, the calculation formula for the impact value of the historical precipitation and the historical precipitation days on the drought factor is:

[0061]

[0062] Among them, y is the impact value of historical precipitation and historical precipitation days on the drought factor; N is the historical precipitation days; P is the historical precipitation.

[0063] In this embodiment, the daily drought factor is calculated based on the meteorological drought index, historical precipitation, and historical number of rainy days. This not only takes into account the drought conditions on that day, but also incorporates historical precipitation information. Historical precipitation and number of rainy days can reflect the local precipitation pattern and dry-wet cycle over a period of time, which is of great significance for determining whether the current drought is in an abnormal state and assessing the continued impact of drought. By integrating these factors to calculate the drought factor, a more comprehensive and in-depth assessment of the extent and potential impact of drought can be achieved, providing a more critical intermediate indicator for accurately assessing wildfire risk.

[0064] Step S5: Calculate the wildfire risk index for the day based on the drought factor, ground temperature, relative humidity, and wind speed for the day, and determine the wildfire risk level based on the wildfire risk index for the day.

[0065] In this embodiment, the calculation formula of the wildfire risk index for the day is:

[0066]

[0067] Wherein, WFRI is the wildfire risk index of the day, DF is the drought factor of the day; T D is the ground temperature on the day; RH is the relative humidity on the day; SPD is the wind speed on the day.

[0068] In this embodiment, determining the wildfire risk level based on the wildfire risk index of the day includes:

[0069] The wildfire risk index of the day is compared with the upper limit index and lower limit index of the preset risk assessment interval to determine the wildfire risk level of the day; wherein the preset risk assessment intervals include: low risk assessment interval, medium risk assessment interval, high risk assessment interval, strong risk assessment interval and extreme risk assessment interval; the upper limit index of the low risk assessment interval is less than the lower limit index of the medium risk assessment interval; the upper limit index of the medium risk assessment interval is less than the lower limit index of the high risk assessment interval; the upper limit index of the high risk assessment interval is less than the lower limit index of the strong risk assessment interval; the upper limit index of the strong risk assessment interval is less than the lower limit index of the extreme risk assessment interval.

[0070] Exemplarily, the low risk assessment interval is [0, 5]; the medium risk assessment interval is [6, 12]; the high risk assessment interval is [13, 24]; the strong risk assessment interval is [25, 49]; and the extreme risk assessment interval is [50, +∞).

[0071] In this embodiment, the wildfire risk index for the day is calculated based on the drought factor, ground temperature, relative humidity and wind speed for the day, and the wildfire risk level is determined accordingly. This step integrates multiple factors closely related to the occurrence and spread of wildfires, and comprehensively considers the impact of drought conditions, temperature, humidity and wind speed on the formation and development of wildfires; ground temperature directly affects the dryness and flammability of vegetation, relative humidity determines the water vapor content in the air, and wind speed affects the spread rate of the fire. By comprehensively calculating the wildfire risk index and determining the risk level based on these factors, the possibility and danger of wildfires can be more accurately assessed, providing a scientific and reliable decision-making basis for wildfire warning, prevention and emergency response, and greatly improving the pertinence and effectiveness of wildfire prevention and control work.

[0072] Example 2:

[0073] Reference Figure 2 , which is a module diagram of a wildfire risk assessment system based on meteorological drought provided by an embodiment of the present invention; to address the problem that the existing technology only uses the precipitation factor of the day as a single factor for drought assessment, ignoring key meteorological elements such as temperature, relative humidity, and wind speed, resulting in inaccurate drought assessment index and, in turn, inaccurate wildfire risk assessment, the system includes at least: a data acquisition module, a meteorological drought index daily variation calculation module, a daily meteorological drought index calculation module, a daily drought factor calculation module, and a wildfire risk level assessment module;

[0074] The data acquisition module is used to obtain the meteorological drought index of the previous day, the maximum ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation and the number of historical precipitation days;

[0075] The meteorological drought index daily variation calculation module is used to calculate the meteorological drought index daily variation based on the meteorological drought index of the previous day, the maximum ambient temperature of the day and the annual average precipitation;

[0076] The meteorological drought index calculation module for the current day is used to calculate the meteorological drought index for the current day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day and the effective precipitation for the current day;

[0077] The daily drought factor calculation module is used to calculate the daily drought factor based on the daily meteorological drought index, historical precipitation and historical precipitation days;

[0078] The wildfire risk level assessment module is used to calculate the wildfire risk index of the day based on the drought factor of the day, the ground temperature of the day, the relative humidity of the day and the wind speed of the day, and determine the wildfire risk level based on the wildfire risk index of the day.

[0079] Another embodiment of the present invention provides a terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the wildfire risk assessment method based on meteorological drought as described in the above embodiment. The terminal device can be a computing device such as a desktop computer, a laptop, a PDA, or a cloud server. The terminal device can include, but is not limited to, a processor and a memory.

[0080] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0081] The memory can be used to store the computer program, and the processor implements various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0082] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a wildfire risk assessment method based on meteorological drought as described in the above embodiment.

[0083] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. The computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0084] The specific embodiments described above further illustrate the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A wildfire risk assessment method based on meteorological drought, characterized in that: include: Obtain the previous day's meteorological drought index, the highest ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation, and the number of historical precipitation days; Calculate the daily change of the meteorological drought index based on the previous day's meteorological drought index, the maximum ambient temperature of the day, and the average annual precipitation; Calculate the meteorological drought index for the day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day, and the effective precipitation on the day; Calculate the drought factor for the day based on the meteorological drought index, historical precipitation, and number of historical precipitation days; The wildfire risk index for the day is calculated based on the drought factor, ground temperature, relative humidity and wind speed for the day, and the wildfire risk level is determined based on the wildfire risk index for the day.

2. A wildfire risk assessment method based on meteorological drought according to claim 1, characterized in that: The calculation formula for the daily variation of the meteorological drought index is: Among them, ΔQ is the daily variation of meteorological drought index; Q t-1 is the meteorological drought index of the previous day; T max is the maximum ambient temperature of the day; R y The average annual precipitation.

3. The method for assessing wildfire risk based on meteorological drought according to claim 1, characterized in that: The calculation formula of the meteorological drought index for the day is: Q t =Q t-1 +ΔQ-R eff ; Among them, Q t is the meteorological drought index of the day; ΔQ is the daily variation of the meteorological drought index; Q t-1 is the meteorological drought index of the previous day; R eff It is the effective precipitation for the day.

4. The method for assessing wildfire risk based on meteorological drought according to claim 1, wherein: The calculation formula of the drought factor for the day is: Among them, DF is the drought factor of the day; Q t is the meteorological drought index for the day; y is the impact of historical precipitation and historical precipitation days on the drought factor.

5. A wildfire risk assessment method based on meteorological drought according to claim 4, characterized in that: The calculation formula for the impact of historical precipitation and historical precipitation days on the drought factor is: Among them, y is the impact value of historical precipitation and historical precipitation days on the drought factor; N is the historical precipitation days; P is the historical precipitation.

6. A wildfire risk assessment method based on meteorological drought according to claim 1, characterized in that: The calculation formula for the wildfire risk index on that day is: Wherein, WFRI is the wildfire risk index of the day, DF is the drought factor of the day; T D is the ground temperature on the day; RJ is the relative humidity on the day; SPD is the wind speed on the day.

7. The method for assessing wildfire risk based on meteorological drought according to claim 1, characterized in that: The wildfire risk level is determined based on the wildfire risk index of the day, including: The wildfire risk index of the day is compared with the upper limit index and lower limit index of the preset risk assessment interval to determine the wildfire risk level of the day; wherein the preset risk assessment intervals include: low risk assessment interval, medium risk assessment interval, high risk assessment interval, strong risk assessment interval and extreme risk assessment interval; the upper limit index of the low risk assessment interval is less than the lower limit index of the medium risk assessment interval; the upper limit index of the medium risk assessment interval is less than the lower limit index of the high risk assessment interval; the upper limit index of the high risk assessment interval is less than the lower limit index of the strong risk assessment interval; the upper limit index of the strong risk assessment interval is less than the lower limit index of the extreme risk assessment interval.

8. A wildfire risk assessment system based on meteorological drought, characterized in that: include: Data acquisition module, meteorological drought index daily change calculation module, meteorological drought index calculation module for the day, drought factor calculation module for the day and wildfire risk level assessment module; The data acquisition module is used to obtain the meteorological drought index of the previous day, the maximum ambient temperature of the day, the annual average precipitation, the effective precipitation of the day, the ground temperature of the day, the relative humidity of the day, the wind speed of the day, the historical precipitation and the number of historical precipitation days; The meteorological drought index daily variation calculation module is used to calculate the meteorological drought index daily variation based on the meteorological drought index of the previous day, the maximum ambient temperature of the day and the annual average precipitation; The meteorological drought index calculation module for the current day is used to calculate the meteorological drought index for the current day based on the daily change of the meteorological drought index, the meteorological drought index of the previous day and the effective precipitation for the current day; The daily drought factor calculation module is used to calculate the daily drought factor based on the daily meteorological drought index, historical precipitation and historical precipitation days; The wildfire risk level assessment module is used to calculate the wildfire risk index of the day based on the drought factor of the day, the ground temperature of the day, the relative humidity of the day and the wind speed of the day, and determine the wildfire risk level based on the wildfire risk index of the day.

9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a wildfire risk assessment method based on meteorological drought as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the wildfire risk assessment method based on meteorological drought according to any one of claims 1 to 7.

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