A three-dimensional drought event identification method, device, equipment and storage medium

Abstract

The present application relates to the technical field of drought identification, in particular to a three-dimensional drought event identification method, device, equipment and storage medium. First, based on the drought index data of the target region, the three-dimensional drought event of the target region is determined, and the economic data involved in the three-dimensional drought event is counted. If the economic data exceeds the economic threshold, the three-dimensional drought event is identified as an effective three-dimensional drought event. From the above analysis, the present application comprehensively considers drought data and economic data when identifying effective three-dimensional drought events, so as to associate the identification of three-dimensional drought events with the actual value of economic data, thereby making the identified effective three-dimensional drought events have practical application value.

Description

Technical Field

[0001] This invention relates to the field of drought identification technology, specifically to a three-dimensional drought event identification method, apparatus, device, and storage medium. Background Technology

[0002] Drought is a highly destructive, frequent, and far-reaching natural phenomenon. Its essence lies in the transmission and transformation of water deficit signals within the atmosphere-soil-surface water-groundwater system. With global warming, the mechanisms and evolutionary characteristics of drought are becoming increasingly complex, manifesting not only in abnormalities in physical meteorological parameters but also profoundly impacting agricultural production, water resource security, and socio-economic systems.

[0003] Existing technologies combine temporal and spatial latitude and longitude dimensions to aggregate discrete drought grids into continuous three-dimensional drought events. However, these technologies determine whether a patch is a drought grid by identifying whether its drought area reaches a threshold, neglecting the socio-economic context of the grid. This results in grids with large drought areas but low socio-economic value being aggregated into three-dimensional drought events. Since these grids have no practical value for agriculture or social life, the three-dimensional drought events identified by existing technologies lack practical application value.

[0004] In conclusion, the three-dimensional drought events identified by existing technologies lack practical application value.

[0005] Therefore, existing technologies still need to be improved and enhanced. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention provides a method, apparatus, device, and storage medium for identifying three-dimensional drought events, thus solving the problem that existing technologies lack practical application value in identifying three-dimensional drought events.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a three-dimensional drought event identification method, comprising: Acquire drought index data for the target area, and based on the drought index data, determine the three-dimensional drought events in the target area. The three-dimensional drought events are used to characterize the drought information of the target area in the spatial and temporal dimensions. Determine the economic data involved in the three-dimensional drought event; The validity of the three-dimensional drought event is identified based on the economic data involved.

[0008] In one implementation, drought index data for a target region is acquired, and based on the drought index data, three-dimensional drought events in the target region are determined, including: Divide the target area into several grids; Obtain drought index data from several grids; Based on the drought index data, the grids within the target area are filtered to obtain a drought grid; Based on the drought grid in the time dimension, the three-dimensional drought events of the target region are obtained.

[0009] In one implementation, based on the drought grid along the time dimension, three-dimensional drought events in the target region are obtained, including: Determine the arid area enclosed by adjacent arid grids; Select the effective drought area from the aforementioned drought area; In terms of time, determine the overlapping area of ​​the effective drought area between adjacent time periods; Based on the overlapping area, a three-dimensional drought event formed by the drought grid in the time dimension is determined.

[0010] In one implementation, determining the economic data related to the three-dimensional drought event includes: Statistically analyze the drought grids involved in the aforementioned three-dimensional drought events; The population density and / or GDP of the drought grid at various times were statistically analyzed. Based on the population density and / or GDP of the drought grid at various times, the economic data involved in the three-dimensional drought event are determined.

[0011] In one implementation, economic data related to the three-dimensional drought event are determined based on the population density and / or GDP of the drought grid at various times, including: Based on the population density and / or GDP of the drought grid at each time point, determine the socioeconomic exposure intensity of the drought grid at each time point. Based on the socioeconomic exposure intensity of the drought grid at various times, the economic data involved in the three-dimensional drought event are obtained.

[0012] In one implementation, the validity of the three-dimensional drought event is identified based on the economic data involved, including: An economic threshold is obtained, and the economic data involved in the three-dimensional drought event is compared with the economic threshold to identify the validity of the three-dimensional drought event.

[0013] One implementation also includes: When the three-dimensional drought event is a valid drought event, a drought intervention plan is formulated for the drought grid of the target area involved in the three-dimensional drought event.

[0014] Secondly, embodiments of the present invention also provide a three-dimensional drought event identification device, wherein the device comprises the following components: The drought event identification module is used to acquire drought index data of the target area and, based on the drought index data, determine the three-dimensional drought event of the target area. The three-dimensional drought event is used to characterize the drought information of the target area in the spatial and temporal dimensions. The economic data statistics module is used to determine the economic data involved in the three-dimensional drought event; The validity identification module is used to identify the validity of the three-dimensional drought event based on the economic data involved in the event.

[0015] Thirdly, embodiments of the present invention also provide a terminal device, wherein the terminal device includes a memory, a processor, and a three-dimensional drought event recognition program stored in the memory and executable on the processor, wherein when the processor executes the three-dimensional drought event recognition program, it implements the steps of the three-dimensional drought event recognition method described above.

[0016] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a three-dimensional drought event recognition program, wherein when the three-dimensional drought event recognition program is executed by a processor, it implements the steps of the three-dimensional drought event recognition method described above.

[0017] Beneficial Effects: This invention first determines three-dimensional drought events in the target area based on drought index data, and then statistically analyzes the economic data involved in these three-dimensional drought events. If the economic data exceeds an economic threshold, the three-dimensional drought event is identified as a valid three-dimensional drought event. As can be seen from the above analysis, this invention comprehensively considers both drought data and economic data when identifying valid three-dimensional drought events, thus linking the identification of three-dimensional drought events with the practical value of economic data, thereby making the identified valid three-dimensional drought events have practical application value. Attached Figure Description

[0018] Figure 1 This is an overall flowchart of the present invention; Figure 2 This is a schematic diagram illustrating the identification of effective drought area in an embodiment of the present invention; Figure 3 This is a schematic diagram showing the overlapping areas between the effective drought areas in this embodiment of the invention; Figure 4 This is a schematic diagram of the minimum surface region threshold sensitivity analysis results in an embodiment of the present invention; Figure 5 This is a schematic diagram of the economic threshold sensitivity analysis results in an embodiment of the present invention; Figure 6 A structural diagram of the three-dimensional drought event identification device provided by the present invention; Figure 7 This is a block diagram illustrating the internal structure of a terminal device provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments and accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0020] Research has revealed that drought is a highly destructive, frequent, and widespread natural phenomenon, essentially a process of transmission and transformation of water deficit signals within the atmosphere-soil-surface water-groundwater system. With global warming, the mechanisms and evolution of drought are becoming increasingly complex, manifesting not only in abnormalities in physical meteorological parameters but also profoundly impacting agricultural production, water resource security, and socio-economic systems.

[0021] Existing technologies combine temporal and spatial latitude and longitude dimensions to aggregate discrete drought grids into continuous three-dimensional drought events. However, these technologies determine whether a patch is a drought grid by identifying whether its drought area reaches a threshold, neglecting the socio-economic context of the grid. This results in grids with large drought areas but low socio-economic value being aggregated into three-dimensional drought events. Since these grids have no practical value for agriculture or social life, the three-dimensional drought events identified by existing technologies lack practical application value.

[0022] To address the aforementioned technical problems, this invention provides a method, apparatus, device, and storage medium for identifying three-dimensional drought events, thus solving the problem that existing technologies lack practical application value in identifying three-dimensional drought events.

[0023] Example 1: The three-dimensional drought event recognition method of this embodiment can be applied to a terminal device, which can be a terminal product with data processing capabilities, such as a computer. In this embodiment, as... Figure 1 As shown, the three-dimensional drought event identification method specifically includes the following steps: S100, acquire drought index data of the target area, and determine the three-dimensional drought event of the target area based on the drought index data. The three-dimensional drought event is used to characterize the drought information of the target area in the spatial and temporal dimensions. S200, determine the economic data involved in the three-dimensional drought event; S300, based on the economic data involved in the three-dimensional drought event, identify the validity of the three-dimensional drought event.

[0024] The valid three-dimensional drought events identified in steps S100, S200, and S300 can be used to implement targeted artificial rainfall measures in the target area. The specific process is as follows: Several three-dimensional drought events were identified in the target area using drought index data. Some of these events covered sub-regions within the target area with higher economic data; these are considered valid three-dimensional drought events. Other events covered sub-regions with lower economic data. When artificial rainfall resources are insufficient, priority should be given to rainfall in the sub-regions covered by the three-dimensional drought events with higher economic data to mitigate economic losses in the target area.

[0025] The valid three-dimensional drought events identified in steps S100, S200, and S300 can be used to carry out targeted afforestation in the target area. The specific process is as follows: Several three-dimensional drought events were identified in the target area using drought index data. Some of these events covered sub-regions within the target area with relatively high economic data; these are considered effective three-dimensional drought events. Other events covered sub-regions with relatively low economic data. Afforestation was implemented in the sub-regions covered by the effective three-dimensional drought events to effectively improve the drought environment of the target area.

[0026] In this embodiment, step S100 includes the following specific steps S101, S102, S103, S104, S105, S106, and S107: S101 divides the target area into several grids.

[0027] like Figure 2 As shown in the left figure, the large outer squares represent the target area, which is divided into several smaller grids. Alternatively, the target area can be divided into grids according to administrative levels, ensuring that each grid belongs to only one administrative level, facilitating the subsequent implementation of drought mitigation policies and measures for that grid.

[0028] S102, obtain drought index data for several grids.

[0029] For each grid cell, its precipitation index is calculated. Drought index data is then derived from the precipitation index, and the reciprocal of the precipitation index can be used as the drought index data. In other words, the higher the precipitation index, the lower the drought index data, and vice versa.

[0030] S103, Based on the drought index data, the grids in the target area are filtered to obtain a drought grid.

[0031] Select drought-prone grids from all grids within the target area whose drought index data exceeds a threshold. For example... Figure 2 The grids marked with numbers in the middle left image are all drought grids.

[0032] S104, determine the drought area enclosed by adjacent drought grids.

[0033] for example Figure 2 In the left image, the nine grids marked with the number 1 are adjacent drought grids. The drought area enclosed by these adjacent drought grids is denoted as... Similarly, the ten grids marked with the number 2 are also adjacent drought grids, and the drought area enclosed by these adjacent drought grids is denoted as... The six grids marked with the number 3 are adjacent drought grids, and the drought area enclosed by these adjacent drought grids is denoted as . The nine grids marked with the number 4 are adjacent drought grids, and the drought area enclosed by these adjacent drought grids is denoted as . The five grids marked with the number 5 are adjacent drought grids, and the drought area enclosed by these adjacent drought grids is denoted as . .

[0034] S105, Select the effective drought area from the drought area.

[0035] This embodiment will have a minimum area threshold greater than or equal to the minimum area threshold. The drought area is taken as the effective drought area.

[0036] like Figure 2 As shown in the right figure, the drought area is recorded. Greater than the minimum area threshold drought area Greater than the minimum area threshold drought area Greater than the minimum area threshold The drought area is recorded as follows drought area drought area This represents the effective drought area.

[0037] drought area Less than the minimum area threshold drought area Less than the minimum area threshold The drought area and drought area This represents the area affected by ineffective drought.

[0038] S106, in the time dimension, determine the overlapping area of ​​the effective drought area between adjacent time periods.

[0039] This embodiment uses months as the unit of time. Figure 3 For example, Figure 3 The letters used in the text are different Figure 2 The letters in the text.

[0040] Figure 3 In and The target area is The two effective drought areas this month, Figure 3 In and The target area is The two effective drought areas this month.

[0041] S107, Based on the overlapping area, determine the three-dimensional drought event formed by the drought grid in the time dimension.

[0042] When the overlapping area of ​​the effective drought area at any two adjacent times in the entire cycle is greater than or equal to the minimum area threshold. The adjacent drought grids formed at various times constitute a three-dimensional drought event in both spatial and temporal dimensions. In this embodiment, three-dimensional drought events are used to record grids of continuously occurring droughts on the time axis.

[0043] The minimum area threshold in this embodiment The area threshold is set at 2%. This small threshold is chosen to prevent filtering out drought grids with extremely high impact potential at the physical level. This embodiment uses the minimum area threshold... It can also be a value between 1% and 5%.

[0044] This embodiment effectively eliminates random physical noise in grid data by setting a small area threshold, saving computing power for subsequent calculations and establishing a clean data foundation.

[0045] by Figure 3 For example, and For any two adjacent times, in time Effective drought area and in time Effective drought area Due to the effective drought area and effective drought area The overlapping area is less than the minimum area threshold So, the effective drought area and effective drought area The drought chain in which it is located cannot be considered a three-dimensional drought event. The drought chain consists of a drought grid covered by the effective drought area of ​​the target region at each time.

[0046] For example, in time Effective drought area and in time Effective drought area Effective drought area and effective drought area The overlapping area is greater than the minimum area threshold If the overlapping area of ​​the effective drought area in other adjacent times throughout the cycle is also greater than the minimum area threshold, So, the effective drought area and effective drought area The drought chain in which it occurs is a three-dimensional drought event.

[0047] use Figure 4 Explain the impact of various drought conditions on the minimum area threshold. Sensitivity Figure 4 The x-axis of graph a represents the minimum area threshold. The vertical axis represents the number of meteorological drought events (MD), and the horizontal axis represents the number of times these events occur. Figure 4 As shown in Figure a, meteorological drought events affect the minimum area threshold. It is highly sensitive.

[0048] Figure 4 The x-axis of graph b represents the minimum area threshold. The vertical axis represents the number of hydrological drought events (HD), calculated by... Figure 4 As shown in Figure b, hydrological drought events affect the minimum area threshold. It has low sensitivity.

[0049] Figure 4 The x-axis of graph c represents the minimum area threshold. The vertical axis represents the number of agricultural drought events (AD). Figure 4 As shown in Figure c, agricultural drought events affect the minimum area threshold. It is highly sensitive.

[0050] Figure 4 The x-axis of the d-plot represents the minimum area threshold. The vertical axis represents the number of socioeconomic drought events (SEDs). Figure 4 The d-plot shows that socioeconomic drought events affect the minimum area threshold. Its sensitivity is extremely low.

[0051] In this embodiment, step S200, which determines the economic data involved in the three-dimensional drought event, includes the following specific steps: S201, Statistically analyze the drought grids involved in the three-dimensional drought event.

[0052] Three-dimensional drought events record the grid continuity of drought occurrences over time. For example, if a district in a city experiences drought grids for twelve consecutive months, and the drought area enclosed by the drought grids is the effective drought area, and the overlapping area between the effective drought areas of adjacent months is greater than the minimum area threshold, then... Therefore, a twelve-month drought grid constitutes a three-dimensional drought event.

[0053] S202, Statistically analyze the population density and / or GDP of the drought grid at various times.

[0054] S203, Based on the population density and / or GDP of the drought grid at each time, determine the socioeconomic exposure intensity of the drought grid at each time.

[0055] In other words, the socioeconomic exposure intensity can be calculated based on population density alone, GDP alone, or both population density and GDP. This embodiment preferably uses population density and GDP to calculate the socioeconomic exposure intensity.

[0056] This embodiment uses Representing three-dimensional drought events in time Drought grid Population density.

[0057] like Figure 3 As shown, when a three-dimensional drought event includes an effective drought area... and effective drought area hour, Represents the effective drought area encompassed by three-dimensional drought events. The first Population density of arid grids. Represents the effective drought area encompassed by three-dimensional drought events. The first Population density of arid grids.

[0058] This embodiment uses Representing three-dimensional drought events in time The GDP of the drought-affected grid.

[0059] like Figure 3 As shown, when a three-dimensional drought event includes an effective drought area... and effective drought area hour, Represents the effective drought area encompassed by three-dimensional drought events. The first The GDP of a drought grid. Represents the effective drought area encompassed by three-dimensional drought events. The first The GDP of a drought grid.

[0060] right and Standardize them separately, using Represents the standardized processing ,use Represents the standardized processing .

[0061]

[0062]

[0063] In the formula, Representing the The average population density of each arid grid. Representing the Standard deviation of population density for arid grids Representing the The average GDP of each arid grid Representing the The standard deviation of GDP for each drought grid.

[0064] use Representing three-dimensional drought events in time Drought grid The intensity of socioeconomic exposure.

[0065]

[0066] represent The weighting coefficients, represent The two weighting coefficients are used to reflect the contribution of different population densities and GDP to the intensity of socioeconomic exposure.

[0067] This embodiment uses principal component analysis, analytic hierarchy process, entropy weighting method, or machine learning method to determine the weight coefficients. and weighting coefficients .

[0068] S204. Based on the socioeconomic exposure intensity of the drought grid at each time, obtain the economic data involved in the three-dimensional drought event.

[0069] use Represents a three-dimensional drought event in time The sum of the socioeconomic exposure intensities of the drought grids contained in any effective drought area.

[0070]

[0071] In the formula, Representing three-dimensional drought events in time The set of drought grids included in the effective drought area at that time.

[0072] This embodiment can also be used replace To calculate . ,in for The minimum value.

[0073] By introducing the compensatory effect of socio-economic value, the embodiments of the present invention enable the effective drought areas that are "fragmented" on a physical scale but have continuous social impact to be "re-attached," thereby identifying long-chain drought events with complete spatiotemporal trajectories and logical coherence, and restoring the real physical process of disaster evolution.

[0074] use This represents economic data related to three-dimensional drought events.

[0075]

[0076] In the formula, This represents the duration of a three-dimensional drought event.

[0077] In this embodiment, step S300 includes the following specific steps: obtaining an economic threshold, comparing the economic data involved in the three-dimensional drought event with the economic threshold, so as to identify the validity of the three-dimensional drought event.

[0078] use Represents an economic threshold, when economic data Less than the economic threshold If the result is negative, it indicates that the three-dimensional drought event is invalid, and no drought mitigation measures need to be implemented on the drought grid involved in the three-dimensional drought event.

[0079] When economic data Greater than or equal to the economic threshold If the three-dimensional drought event is valid, then drought mitigation measures need to be implemented on the drought grid involved in the three-dimensional drought event.

[0080] The economic threshold in this embodiment The following methods were used to obtain data: population density, GDP, arable land share, and critical infrastructure density for each drought-affected area in all historical drought events within the study area. This data was used to construct a cumulative probability distribution curve of socioeconomic exposure intensity, aiming to define the strength of drought impacts from a big data statistical perspective. A specific percentile in this probability distribution was selected as a dynamic criterion and defined as the economic threshold. For example, the 60th quantile of the probability distribution of socioeconomic exposure intensity can be selected as the optimal threshold point to achieve a balance between statistical robustness and socioeconomic significance.

[0081] Economic thresholds are defined based on the percentiles of the probability distribution of historical socioeconomic exposure intensity values. It has the following technical effects: The identification criteria are no longer determined by human experience or guesswork, but are automatically generated based on historical background data of the study area. This allows the method to maintain a high degree of objectivity and universality across different watersheds and different levels of socio-economic development, significantly improving the scientific rigor of cross-regional drought comparative studies.

[0082] This embodiment can also be determined in the following way. : Climate change scenarios (such as CMIP6 data) are input into random forests or long short-term memory networks to predict the evolution of socioeconomic exposure in future years, thereby achieving... A dynamic, time-shifting rolling recognition mechanism is used to obtain dynamic... .

[0083] Figure 5 The horizontal axis represents the economic threshold. The left vertical axis represents the number of valid three-dimensional drought events, and the right vertical axis represents the economic data involved in the valid three-dimensional drought events. The mean. From Figure 5 It can be seen that the economic threshold The larger the threshold, the more invalid 3D drought events are filtered out, resulting in fewer valid 3D drought events remaining. Economic Threshold The larger the value, the more effective the economic data of the three-dimensional drought event are preserved. The larger the value, the better the economic data. The greater the mean, the better.

[0084] Example 2: When there are two or more three-dimensional drought events in the same study area, the earliest three-dimensional drought event is selected from the two or more three-dimensional drought events. The drought level of the study area is determined by judging whether the earliest three-dimensional drought event is an effective drought event. When the earliest three-dimensional drought event is an effective drought event, long-term drought intervention measures need to be implemented in the study area.

[0085] for example, Figure 3 Effective drought area and effective drought area The overlapping area is already greater than the minimum area threshold. A three-dimensional drought event has already occurred, assuming an effective drought area. and effective drought area The overlapping area is also greater than the minimum area threshold. Then there exists another three-dimensional drought event. If the effective drought area... The occurrence occurred earlier than the effective drought area. Then it is determined by the effective drought area. and effective drought area The validity of the three-dimensional drought event composition is used to determine the degree of drought in the study area.

[0086] In Example 3, the precipitation index SPI in Example 1 is replaced with any one of the following indices: standardized runoff index SRI, standardized soil moisture index SSMI, and distributed standardized socioeconomic drought index DSSEDI. Drought index data are then calculated using the replaced index.

[0087] Example 4 replaces the population density and GDP generated in Example 1 with factors such as the proportion of arable land, the density of critical infrastructure (such as power grids and roads), and per capita water consumption to calculate the economic data involved in the three-dimensional drought event.

[0088] Example 5: Calculating the socioeconomic exposure intensity based on Example 1. Subsequently, this embodiment can use disaster resilience to modify the intensity of socioeconomic exposure. For example, in grids with well-developed water conservancy facilities or extremely high disaster prevention levels, an attenuation coefficient can be assigned. Exposure intensity to socioeconomic factors To correct Based on the revised socioeconomic exposure intensity calculate .use Represents the revised socioeconomic exposure intensity .

[0089] Example 6: When a three-dimensional drought event is identified as a valid three-dimensional drought event, based on the valid three-dimensional drought event... The magnitude of the value and the spatial structure of the effective drought area are used to classify effective three-dimensional drought events into "urban agglomeration impact type", "major grain production area threat type" or "large-area ecological impact type".

[0090] This embodiment also provides a three-dimensional drought event recognition device, such as... Figure 6 As shown, the device comprises the following components: Drought event identification module 01 is used to acquire drought index data of the target area and determine the three-dimensional drought event of the target area based on the drought index data. The three-dimensional drought event is used to characterize the drought information of the target area in the spatial and temporal dimensions. Economic data statistics module 02 is used to determine the economic data involved in the three-dimensional drought event; The validity identification module 03 is used to identify the validity of the three-dimensional drought event based on the economic data involved in the three-dimensional drought event.

[0091] Based on the above embodiments, the present invention also provides a terminal device, the principle block diagram of which can be as follows: Figure 7 As shown, the terminal device includes a processor, memory, network interface, and display screen connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a three-dimensional drought event recognition method. The display screen can be a liquid crystal display (LCD) or an e-ink display.

[0092] Those skilled in the art will understand that Figure 6 The schematic diagram shown is only a partial structural diagram related to the present invention and does not constitute a limitation on the terminal device to which the present invention is applied. The specific terminal device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0093] In one embodiment, a terminal device is provided, comprising a memory, a processor, and a three-dimensional drought event recognition program stored in the memory and executable on the processor. When the processor executes the three-dimensional drought event recognition program, it implements the following operation instructions: Acquire drought index data for the target area, and based on the drought index data, determine the three-dimensional drought events in the target area. The three-dimensional drought events are used to characterize the drought information of the target area in the spatial and temporal dimensions. Determine the economic data involved in the three-dimensional drought event; The validity of the three-dimensional drought event is identified based on the economic data involved.

[0094] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A three-dimensional drought event identification method, characterized in that, include: Acquire drought index data for the target area, and based on the drought index data, determine the three-dimensional drought events in the target area. The three-dimensional drought events are used to characterize the drought information of the target area in the spatial and temporal dimensions. Determine the economic data involved in the three-dimensional drought event; The validity of the three-dimensional drought event is identified based on the economic data involved.

2. The three-dimensional drought event identification method as described in claim 1, characterized in that, Acquiring drought index data for the target area and determining three-dimensional drought events in the target area based on the drought index data includes: Divide the target area into several grids; Obtain drought index data from several grids; Based on the drought index data, the grids within the target area are filtered to obtain a drought grid; Based on the drought grid in the time dimension, the three-dimensional drought events of the target region are obtained.

3. The three-dimensional drought event identification method as described in claim 2, characterized in that, Based on the drought grid along the time dimension, three-dimensional drought events in the target region are obtained, including: Determine the arid area enclosed by adjacent arid grids; Select the effective drought area from the aforementioned drought area; In terms of time, determine the overlapping area of ​​the effective drought area between adjacent time periods; Based on the overlapping area, a three-dimensional drought event formed by the drought grid in the time dimension is determined.

4. The three-dimensional drought event identification method as described in claim 1, characterized in that, Determine the economic data involved in the three-dimensional drought event, including: Statistically analyze the drought grids involved in the aforementioned three-dimensional drought events; The population density and / or GDP of the drought grid at various times were statistically analyzed. Based on the population density and / or GDP of the drought grid at various times, the economic data involved in the three-dimensional drought event are determined.

5. The three-dimensional drought event identification method as described in claim 4, characterized in that, Based on the population density and / or GDP of the drought grid at various times, determine the economic data involved in the three-dimensional drought event, including: Based on the population density and / or GDP of the drought grid at each time point, determine the socioeconomic exposure intensity of the drought grid at each time point. Based on the socioeconomic exposure intensity of the drought grid at various times, the economic data involved in the three-dimensional drought event are obtained.

6. The three-dimensional drought event identification method as described in claim 1, characterized in that, Based on the economic data involved in the three-dimensional drought event, the validity of the three-dimensional drought event is identified, including: An economic threshold is obtained, and the economic data involved in the three-dimensional drought event is compared with the economic threshold to identify the validity of the three-dimensional drought event.

7. The three-dimensional drought event identification method as described in claim 1, characterized in that, Also includes: When the three-dimensional drought event is a valid drought event, a drought intervention plan is formulated for the drought grid of the target area involved in the three-dimensional drought event.

8. A three-dimensional drought event identification device, characterized in that, The device comprises the following components: The drought event identification module is used to acquire drought index data of the target area and, based on the drought index data, determine the three-dimensional drought event of the target area. The three-dimensional drought event is used to characterize the drought information of the target area in the spatial and temporal dimensions. The economic data statistics module is used to determine the economic data involved in the three-dimensional drought event; The validity identification module is used to identify the validity of the three-dimensional drought event based on the economic data involved in the event.

9. A terminal device, characterized in that, The terminal device includes a memory, a processor, and a three-dimensional drought event recognition program stored in the memory and executable on the processor. When the processor executes the three-dimensional drought event recognition program, it implements the steps of the three-dimensional drought event recognition method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a three-dimensional drought event identification program, which, when executed by a processor, implements the steps of the three-dimensional drought event identification method as described in any one of claims 1-7.

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