A comprehensive drought monitoring and evaluation method and system based on hydrological processes

Abstract

This application provides a comprehensive drought monitoring and assessment method and system based on hydrological processes, belonging to the technical field of hydrological disaster monitoring. The method includes: acquiring historical precipitation data, historical vegetation cover data, and historical soil moisture content data for the monitoring area; analyzing basic importance data based on the historical vegetation cover data and the historical soil moisture content data; calculating precipitation trend impact data based on the historical precipitation data; determining comprehensive importance data based on the basic importance data and the precipitation trend impact data; and determining drought assessment data for the monitoring area based on the comprehensive importance data. This approach enables drought monitoring and reduces the impact of drought disasters.

Description

Technical Field

[0001] This application relates to the technical field of hydrological disaster monitoring, and in particular to a comprehensive drought monitoring and assessment method and system based on hydrological processes. Background Technology

[0002] Hydrological disasters refer to natural disasters caused by abnormal changes in hydrological processes, which have a significant impact on human society and the natural environment. As a type of hydrological disaster, drought disasters can have a significant impact on agriculture, industry, and people's lives. Therefore, it is necessary to monitor and assess the overall drought disaster situation. Summary of the Invention

[0003] This application provides a comprehensive drought monitoring and assessment method and system based on hydrological processes, which can reduce the impact of drought disasters.

[0004] Firstly, this application provides a comprehensive drought monitoring and assessment method based on hydrological processes. The method includes:

[0005] Acquire historical precipitation data, historical vegetation coverage data, and historical soil moisture content data for the monitoring area;

[0006] The basic importance data is analyzed based on the historical vegetation cover data and the historical soil moisture content data; the basic importance data is correlated with the historical vegetation cover data and the historical soil moisture content data.

[0007] The precipitation trend impact data is calculated based on the historical precipitation data; the precipitation trend impact data is correlated with the historical precipitation data.

[0008] Based on the basic importance data and the precipitation trend impact data, the comprehensive importance data is determined, and based on the comprehensive importance data, the drought assessment data for the monitoring area is determined.

[0009] Furthermore, the step of analyzing basic importance data based on the historical vegetation cover data and the historical soil moisture content data; the basic importance data being correlated with the historical vegetation cover data and the historical soil moisture content data includes:

[0010] Based on the historical vegetation coverage data, determine the first vegetation coverage data of the monitoring area at the current moment and the second vegetation coverage data of the monitoring area during the last drought;

[0011] Calculate the vegetation coverage difference data based on the first vegetation coverage data and the second vegetation coverage data;

[0012] Based on the historical soil moisture content data, determine the first moisture content data of the monitoring area at the current moment and the second moisture content data of the monitoring area during the last drought;

[0013] Calculate the moisture content difference data based on the first moisture content data and the second moisture content data;

[0014] The basic importance data is analyzed based on the difference data of vegetation coverage and the difference data of water content.

[0015] Furthermore, the calculation method for the basic importance data includes:

[0016]

[0017] In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data.

[0018] Furthermore, .

[0019] Furthermore, the step of calculating precipitation trend impact data based on the historical precipitation data; the correlation between the precipitation trend impact data and the historical precipitation data includes:

[0020] Historical precipitation data for monitoring areas were selected for n drought periods. The historical precipitation data for the i-th drought period was... Among them, the first drought period is the drought period closest to the current time, and the nth drought period is the drought period farthest from the current time.

[0021] Calculate the difference in precipitation data for n-1 data points. , ..., ;in, , ..., ;

[0022] Determine whether all precipitation difference data are either greater than 0 or not greater than 0;

[0023] If so, the calculation method for the impact of precipitation trend on data is as follows: ;

[0024] If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

[0025] Secondly, this application provides a comprehensive drought monitoring and assessment system based on hydrological processes, the system comprising:

[0026] The acquisition module is used to acquire historical precipitation data, historical vegetation coverage data, and historical soil moisture content data of the monitoring area.

[0027] The analysis module is used to analyze basic importance data based on the historical vegetation coverage data and the historical soil moisture content data; the basic importance data is associated with the historical vegetation coverage data and the historical soil moisture content data.

[0028] The calculation module is used to calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data;

[0029] The determination module is used to determine comprehensive importance data based on the basic importance data and the precipitation trend impact data, and to determine drought assessment data for the monitoring area based on the comprehensive importance data.

[0030] Furthermore, the analysis module is further configured to analyze basic importance data based on the historical vegetation cover data and the historical soil moisture content data; the basic importance data being associated with the historical vegetation cover data and the historical soil moisture content data includes:

[0031] Based on the historical vegetation coverage data, determine the first vegetation coverage data of the monitoring area at the current moment and the second vegetation coverage data of the monitoring area during the last drought;

[0032] Calculate the vegetation coverage difference data based on the first vegetation coverage data and the second vegetation coverage data;

[0033] Based on the historical soil moisture content data, determine the first moisture content data of the monitoring area at the current moment and the second moisture content data of the monitoring area during the last drought;

[0034] Calculate the moisture content difference data based on the first moisture content data and the second moisture content data;

[0035] The basic importance data is analyzed based on the difference data of vegetation coverage and the difference data of water content.

[0036] Furthermore, the analysis module is further configured such that the calculation method for the basic importance data includes:

[0037]

[0038] In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data.

[0039] Furthermore, the analysis module is further configured to, .

[0040] Furthermore, the calculation module is further configured to calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data being associated with the historical precipitation data includes:

[0041] Historical precipitation data for monitoring areas were selected for n drought periods. The historical precipitation data for the i-th drought period was... Among them, the first drought period is the drought period closest to the current time, and the nth drought period is the drought period farthest from the current time.

[0042] Calculate the difference in precipitation data for n-1 data points. , ..., ;in, , ..., ;

[0043] Determine whether all precipitation difference data are either greater than 0 or not greater than 0;

[0044] If so, the calculation method for the impact of precipitation trend on data is as follows: ;

[0045] If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

[0046] It should be understood that the description in the Summary Section is not intended to limit the key or essential features of the embodiments of this application, nor is it intended to restrict the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0047] The above and other features, advantages, and aspects of the embodiments of this application will become more apparent from the accompanying drawings and the following detailed description. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0048] Figure 1A flowchart of a comprehensive drought monitoring and assessment method based on hydrological processes, as illustrated in an embodiment of this application, is shown.

[0049] Figure 2 A block diagram of a comprehensive drought monitoring and assessment system based on hydrological processes, as described in an embodiment of this application, is shown. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0051] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0052] This application provides a comprehensive drought monitoring and assessment method and system based on hydrological processes, which can reduce the impact of drought disasters.

[0053] Firstly, this application provides a comprehensive drought monitoring and assessment method based on hydrological processes. (Reference) Figure 1 The specific steps included in the method are as follows:

[0054] Step S110: Obtain historical precipitation data, historical vegetation coverage data, and historical soil moisture content data for the monitoring area.

[0055] In this embodiment of the application, drought monitoring and assessment analysis are performed using a monitoring area as an example to determine the drought situation in the monitoring area. The precipitation, vegetation coverage and soil moisture content are all data that can be directly obtained. The conventional techniques for the specific acquisition process will not be elaborated here.

[0056] Step S120: Analyze the basic importance data based on the historical vegetation coverage data and the historical soil moisture content data; the basic importance data is associated with the historical vegetation coverage data and the historical soil moisture content data.

[0057] In this embodiment of the application, the analysis of basic importance data based on the historical vegetation cover data and the historical soil moisture content data specifically includes: determining the first vegetation cover data of the monitoring area at the current moment and the second vegetation cover data of the monitoring area during the last drought based on the historical vegetation cover data; calculating the vegetation cover difference data based on the first vegetation cover data and the second vegetation cover data; determining the first moisture content data of the monitoring area at the current moment and the second moisture content data of the monitoring area during the last drought based on the historical soil moisture content data; calculating the moisture content difference data based on the first moisture content data and the second moisture content data; and analyzing the basic importance data based on the vegetation cover difference data and the moisture content difference data.

[0058] Specifically, the calculation methods for basic importance data include:

[0059]

[0060] In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data; among which, .

[0061] In this embodiment, the vegetation coverage and soil moisture content of the monitoring area are analyzed. The current vegetation coverage and soil moisture content data of the monitoring area are used as the basic calculation basis. Then, the changes in the vegetation coverage and soil moisture content of the monitoring area during the last drought are analyzed and calculated to serve as the influence coefficients affecting the basic calculation basis. As can be seen from the above formula, the influence coefficients analyzed for both types of data are greater than zero and less than 1. Furthermore, to avoid the influence of positive and negative signs, the absolute value form is used in the calculation.

[0062] Step S130: Calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data.

[0063] In this embodiment of the application, calculating the precipitation trend impact data based on the historical precipitation data specifically includes selecting historical precipitation data for a monitoring area during n drought periods, where the historical precipitation data for the i-th drought period is... The first drought period is the closest to the current time, and the nth drought period is the farthest from the current time. Calculate the difference in precipitation data for n-1 periods. , ..., ;in, , ..., Determine whether all precipitation difference data are greater than 0 or not greater than 0; if so, the calculation method for the influence of precipitation trend on the data is as follows: If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

[0064] Step S140: Determine the comprehensive importance data based on the basic importance data and the precipitation trend impact data, and determine the drought assessment data of the monitoring area based on the comprehensive importance data.

[0065] In this scheme, the comprehensive importance data is calculated as follows: In the formula, H represents the comprehensive importance data, F represents the basic importance data, and Y represents the precipitation trend impact data. It can be understood that the higher the comprehensive importance data, the better the drought situation in the monitored area and the lower the probability of drought occurring; conversely, the lower the comprehensive importance data, the worse the drought situation in the monitored area and the higher the probability of drought occurring. Specifically, drought assessment data is determined through comprehensive importance data and a pre-set importance assessment table. The drought assessment data includes drought level data, which determines the probability and likelihood of drought occurring in the monitored area. This enables the monitoring and assessment of drought conditions in the monitored area, reducing the impact of drought and minimizing losses caused by drought disasters.

[0066] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to the embodiments of this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0067] Secondly, this application provides a comprehensive drought monitoring and assessment system based on hydrological processes. For example... Figure 2As shown, the system includes: an acquisition module 210 for acquiring historical precipitation data, historical vegetation coverage data, and historical soil moisture content data of the monitoring area; an analysis module 220 for analyzing basic importance data based on the historical vegetation coverage data and the historical soil moisture content data; the basic importance data is associated with the historical vegetation coverage data and the historical soil moisture content data; a calculation module 230 for calculating precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data; and a determination module 240 for determining comprehensive importance data based on the basic importance data and the precipitation trend impact data, and determining drought assessment data for the monitoring area based on the comprehensive importance data.

[0068] Furthermore, the analysis module 220 is further configured to analyze basic importance data based on the historical vegetation cover data and the historical soil moisture content data; the basic importance data being associated with the historical vegetation cover data and the historical soil moisture content data includes: determining, based on the historical vegetation cover data, first vegetation cover data of the monitoring area at the current moment and second vegetation cover data of the monitoring area during the last drought; calculating vegetation cover difference data based on the first vegetation cover data and the second vegetation cover data; determining, based on the historical soil moisture content data, first moisture content data of the monitoring area at the current moment and second moisture content data of the monitoring area during the last drought; calculating moisture content difference data based on the first moisture content data and the second moisture content data; and analyzing basic importance data based on the vegetation cover difference data and the moisture content difference data.

[0069] Specifically, the calculation methods for basic importance data include:

[0070]

[0071] In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data; .

[0072] Furthermore, the calculation module 230 is further configured to calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data associated with the historical precipitation data includes selecting historical precipitation data of the monitoring area for n drought periods, where the historical precipitation data for the i-th drought period is... The first drought period is the closest to the current time, and the nth drought period is the farthest from the current time. Calculate the difference in precipitation data for n-1 periods. , ..., ;in, , ..., Determine whether all precipitation difference data are greater than 0 or not greater than 0; if so, the calculation method for the influence of precipitation trend on the data is as follows: If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

[0073] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the described device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0074] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. A comprehensive drought monitoring and assessment method based on hydrological processes, characterized in that, include: Acquire historical precipitation data, historical vegetation coverage data, and historical soil moisture content data for the monitoring area; The basic importance data is analyzed based on the historical vegetation cover data and the historical soil moisture content data; the basic importance data is correlated with the historical vegetation cover data and the historical soil moisture content data. The precipitation trend impact data is calculated based on the historical precipitation data; the precipitation trend impact data is correlated with the historical precipitation data. Based on the basic importance data and the precipitation trend impact data, comprehensive importance data is determined, and based on the comprehensive importance data, drought assessment data for the monitoring area is determined. The basic importance data is analyzed based on the historical vegetation coverage data and the historical soil moisture content data. The basic importance data, which is associated with the historical vegetation cover data and the historical soil moisture content data, includes: Based on the historical vegetation coverage data, determine the first vegetation coverage data of the monitoring area at the current moment and the second vegetation coverage data of the monitoring area during the last drought; Calculate the vegetation coverage difference data based on the first vegetation coverage data and the second vegetation coverage data; Based on the historical soil moisture content data, determine the first moisture content data of the monitoring area at the current moment and the second moisture content data of the monitoring area during the last drought; Calculate the moisture content difference data based on the first moisture content data and the second moisture content data; The basic importance data is analyzed based on the vegetation coverage difference data and the water content difference data; The calculation methods for the basic importance data include: In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data. , These are the preset calculation weights; The precipitation trend impact data is calculated based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data, including: Historical precipitation data for monitoring areas were selected for n drought periods. The historical precipitation data for the i-th drought period was... Among them, the first drought period is the drought period closest to the current time, and the nth drought period is the drought period farthest from the current time. calculating n-1 precipitation difference data , ; wherein , ; Determine whether all precipitation difference data are either greater than 0 or not greater than 0; If so, the precipitation amount trend affects the way the data is calculated as ; If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

2. The method of claim 1, wherein, 。 3. A comprehensive drought monitoring and assessment system based on hydrological processes, characterized in that, include: The acquisition module (210) is used to acquire historical precipitation data, historical vegetation coverage data and historical soil moisture content data of the monitoring area; Analysis module (220) is used to analyze basic importance data based on the historical vegetation coverage data and the historical soil moisture content data; the basic importance data is associated with the historical vegetation coverage data and the historical soil moisture content data; The calculation module (230) is used to calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data. The determination module (240) is used to determine comprehensive importance data based on the basic importance data and the precipitation trend impact data, and to determine drought assessment data for the monitoring area based on the comprehensive importance data; The analysis module (220) is further configured to analyze basic importance data based on the historical vegetation coverage data and the historical soil moisture content data; The basic importance data, which is associated with the historical vegetation cover data and the historical soil moisture content data, includes: Based on the historical vegetation coverage data, determine the first vegetation coverage data of the monitoring area at the current moment and the second vegetation coverage data of the monitoring area during the last drought; Calculate the vegetation coverage difference data based on the first vegetation coverage data and the second vegetation coverage data; Based on the historical soil moisture content data, determine the first moisture content data of the monitoring area at the current moment and the second moisture content data of the monitoring area during the last drought; Calculate the moisture content difference data based on the first moisture content data and the second moisture content data; The basic importance data is analyzed based on the vegetation coverage difference data and the water content difference data; The analysis module (220) is further configured such that the calculation method for the basic importance data includes: In the formula, Based on importance data, This is the first vegetation coverage data. This is the first vegetation coverage data. This is the first moisture content data. This is the second moisture content data. , These are the preset calculation weights; The calculation module (230) is further configured to calculate precipitation trend impact data based on the historical precipitation data; the precipitation trend impact data is associated with the historical precipitation data including: Historical precipitation data for monitoring areas were selected for n drought periods. The historical precipitation data for the i-th drought period was... Among them, the first drought period is the drought period closest to the current time, and the nth drought period is the drought period farthest from the current time. Calculate the difference in precipitation data for n-1 data points. , ..., ;in, , ..., ; Determine whether all precipitation difference data are either greater than 0 or not greater than 0; If so, the precipitation amount trend affects the way the data is calculated as ; If not, then the calculation method for the impact of precipitation trend on data is as follows: In the formula, This represents the number of precipitation difference data points that are greater than 0. This refers to the number of precipitation difference data that are not greater than 0.

4. The system of claim 3, wherein, The analysis module (220) is further configured to, .

Images