A resource and environmental carrying capacity monitoring and early warning system

Abstract

The invention relates to the technical field of environmental monitoring, and discloses a resource and environmental carrying capacity monitoring and early warning system, comprising a data acquisition unit, a preprocessing unit, a data processing unit, a data analysis unit and an early warning display unit. By real-time acquisition of environmental information and combining historical data, the invention can accurately analyze the change trend of groundwater levels and timely warn of possible drought problems; through comprehensive analysis of groundwater level change values, rainfall parameters, temperature parameters and humidity parameters, the scarcity of groundwater resources can be more accurately assessed; through prediction of future groundwater levels and timely early warning, the allocation and use of water resources can be optimized, the utilization efficiency of water resources can be improved, and waste can be reduced; it is helpful to achieve sustainable management of water resources, protect and restore groundwater systems, and ensure the long-term stable supply of water resources; it is of great significance to ensure water resource security and promote sustainable economic and social development.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a resource and environmental carrying capacity monitoring and early warning system. Background Art

[0002] Resource and environmental carrying capacity refers to the maximum capacity of a region's natural resources and environmental systems to support population size, economic development and social stability within a specific period of time. Water resources, as a key element in resource and environmental carrying capacity, have a close relationship with resource and environmental carrying capacity; water resources are one of the most precious natural resources on the earth, and they play an irreplaceable role in maintaining ecological balance, ensuring human life and promoting economic development. Therefore, effective monitoring and early warning of water resources are of great significance for the rational use and protection of water resources and the prevention of water disasters. With the impact of climate change and population growth, the rational use and protection of groundwater resources have become particularly critical. Traditional water resource monitoring and management methods often rely on manual observation and data collection, which is not only time-consuming and labor-intensive, but also difficult to achieve real-time monitoring and accurate prediction. In addition, the existing water resource management system has certain limitations in processing large amounts of environmental data, predicting future water resource conditions, and generating effective early warning information in a timely manner. Among them, the existing problems include:

[0003] Low efficiency of data acquisition and processing: Traditional data collection relies on on-site measurements and cannot achieve automated and efficient data updates. Data processing usually takes a long time, which is not conducive to quick decision-making.

[0004] Insufficient prediction accuracy: Due to the lack of efficient data analysis models, traditional water resources prediction methods often cannot accurately reflect future trends in water resources, especially when faced with complex climate change factors.

[0005] Imperfect early warning system: The existing water resources management system often lacks an effective early warning mechanism and cannot provide sufficient response time before the water resources situation deteriorates, resulting in the inability to take timely response measures.

[0006] Lack of flexibility and adaptability: Faced with the characteristics of water resources in different regions and the uncertainty of climate change, existing technologies often find it difficult to flexibly adjust management and forecasting strategies to adapt to different environments and needs.

[0007] Insufficient consideration of environmental factors: Traditional water resource management fails to fully consider the combined impact of various environmental factors such as rainfall, temperature, and humidity, resulting in water resource management strategies that may not be scientific and comprehensive enough.

[0008] Therefore, the present invention aims to combine efficient data analysis algorithms to achieve real-time monitoring, accurate prediction and effective early warning of groundwater resources in the target area. This will help solve the problems existing in traditional water resource management, improve the efficiency and scientificity of water resource management, and provide technical support for addressing water shortage and drought problems. Summary of the invention

[0009] The purpose of the present invention is to provide a resource and environment carrying capacity monitoring and early warning system, which solves the technical problems raised in the background technology.

[0010] The purpose of the present invention can be achieved through the following technical solutions:

[0011] A resource and environmental carrying capacity monitoring and early warning system, comprising:

[0012] A data acquisition unit is used to obtain environmental information of a target area, including groundwater level change values, rainfall parameters, and temperature parameters of the target area within a preset standard period, and is also used to obtain weather forecast information of the target area within a future specified period, including future rainfall and future temperature parameters;

[0013] The preprocessing unit is used to extract the environmental information corresponding to the standard period when the groundwater level change value is positive according to the positive and negative states of the groundwater level change value during multiple standard periods that have occurred; it is also used to extract the corresponding temperature parameter according to the groundwater level change value and the rainfall parameter, obtain the average of all the temperature parameters, and record it as the standard temperature value BW;

[0014] A data processing unit is used to standardize the environmental information extracted from the target area by the preprocessing unit and obtain a temperature impact standard value;

[0015] The data analysis unit is used to calculate the groundwater level value within the future specified period in combination with the weather forecast information, and compare it with the preset groundwater level warning threshold to obtain different warning signals at different levels;

[0016] The early warning display unit is used to display the results obtained by the data analysis unit, and to display early warning signals of various levels using different forms of marks.

[0017] As a further solution of the present invention: wherein the groundwater level change value is the result obtained by subtracting the groundwater level value obtained at the end time node of the corresponding standard period from the groundwater level value obtained at the start time node of the corresponding standard period;

[0018] The temperature parameter is the average value of the temperature values ​​obtained at each preset time node within the corresponding target period;

[0019] As a further solution of the present invention: the method of extracting corresponding temperature parameters based on groundwater level change value and rainfall parameter is: extracting temperature parameters corresponding to the standard period when the groundwater level change value is ≤ β1 and the rainfall parameter is less than or equal to β2, wherein β1 and β2 are preset values, and β1≥0, β2≥0.

[0020] As a further solution of the present invention: the specific method of standardized arrangement is as follows:

[0021] SS1, when the groundwater level change value is positive, the corresponding groundwater level change value, rainfall parameter, and temperature parameter of each standard period;

[0022] SS2. Select a standard period, divide the groundwater level change value by the rainfall parameter, and obtain the rainfall value of the groundwater level change unit, and record this value as the water level unit rainfall coefficient;

[0023] By analogy, the unit rainfall coefficient of water level in each standard period is calculated;

[0024] SS3. Group the two standard periods into a set of analysis packages, extract the corresponding water level unit rainfall coefficients and temperature parameters in the two standard periods from the analysis packages, and mark the water level unit rainfall coefficients in the two standard periods as DY1 and DY2, respectively, and mark the temperature parameters in the two standard periods as W1 and W2, respectively, where DY1 and W1 are environmental information of the same standard period, and DY2 and W2 are environmental information of the same standard period;

[0025] SS4. Compare DY1 and DY2, and W1 and W2:

[0026] If DY1>DY2 and W1>W2 are both true, the temperature influence coefficient WY is calculated by WY=(W1-W2) / (DY1-DY2);

[0027] If DY1<DY2 and W1<W2 are both true, the temperature influence coefficient WY is calculated by WY=(W2-W1) / (DY2-DY1);

[0028] By analogy, the temperature influence coefficient calculated from the environmental information corresponding to multiple groups of analysis packages is calculated;

[0029] SS5. Extract all the temperature influence coefficients, and use variance analysis to screen and analyze all the temperature influence coefficients, and obtain the mean of the screened and retained temperature influence coefficients based on the analysis results;

[0030] As a further solution of the present invention: the screening analysis method is as follows:

[0031] All the obtained temperature influence coefficients are marked as WXi, i = 1, 2, ... n, n represents the number of temperature influence coefficients;

[0032] Then, the variance calculation formula is used to calculate the discrete values ​​between each temperature influence coefficient;

[0033] The discrete value is then compared with the preset discrete threshold:

[0034] If the discrete value is greater than the discrete threshold, it means that the discrete degree between the temperature influence coefficients is large. Then, the corresponding WXi values ​​are deleted in order from large to small according to |WXi-WXp| and the remaining discrete values ​​are calculated accordingly until the discrete value is less than or equal to the discrete threshold, where WXp represents the average value of all WXi used in calculating the corresponding discrete value.

[0035] Afterwards, when the discrete value is ≤ the discrete threshold, the WXi involved in calculating the discrete value is extracted, and the average value of all corresponding WXi is calculated, and then its value is marked as the temperature influence standard value PW.

[0036] As a further solution of the present invention: if DY1<DY2 and W1≥W2 holds, or DY1≥DY2 and W1<W2 holds, or DY1=DY2 and W1=W2 holds, the temperature influence coefficient is not calculated through the environmental information of the two standard time periods.

[0037] As a further solution of the present invention: the specific method of the data analysis unit is as follows:

[0038] SD1. First, the future specified period is divided into several pre-analysis periods according to the standard period, and then the weather forecast information corresponding to each pre-analysis period is extracted, and the future rainfall and future temperature parameters in each pre-analysis period are recorded as Yj and Wj respectively, j = 1, 2, ... m, m represents the number of pre-analysis periods;

[0039] SD2, collect the groundwater level value at the current time node at the same time;

[0040] SD3, according to the time sequence of the pre-analysis period, the groundwater level value of the current time node collected is used as the groundwater level value of the starting time node of the first pre-analysis period, and it is recorded as DS1;

[0041] Then let j be 1.

[0042] Then compare Wj with BW:

[0043] If Wj>BW, then DS2=(Wj-BW)*PW*(Yj+DS1) is used to calculate the groundwater level value DS2 at the end time node of the first pre-analysis period, that is, the groundwater level value DS2 at the start time node of the second pre-analysis period;

[0044] Then let the value of j be 2, 3, ... m, and so on, and obtain the groundwater level value DSm+1 at the end time node of the mth pre-analysis period;

[0045] SD4. Then compare DSm+1 with the preset groundwater level warning threshold DSy, and obtain different levels of warning signals according to the comparison results.

[0046] As a further solution of the present invention: if Wj≤BW, it means that the future temperature parameters of the pre-analysis period have no obvious impact on the groundwater level value, and the groundwater level value of the current time node collected is used as the groundwater level value DS2 of the starting time node of the second pre-analysis period.

[0047] As a further solution of the present invention: In SD4,

[0048] If DSm+1>3*k*DSy, it means that the target area has sufficient groundwater resources in the future specified period, and no warning signal is generated;

[0049] If 3*k*DSy≥DSm+1>2*k*DSy, it means that the groundwater resources in the target area are in a state of slight scarcity in the future specified period, and a primary warning signal is generated;

[0050] If 2*k*DSy≥DSm+1>k*DSy, it means that the groundwater resources in the target area will be in a medium shortage state in the future specified period, and a medium-level warning signal will be generated;

[0051] If k*DSy≥DSm+1, it means that the groundwater resources in the target area are in a serious shortage state in the future specified period, and a high-level early warning signal is generated;

[0052] k is the preset influence coefficient, and the value range of k is: 0.8245-1.3625.

[0053] Beneficial effects of the present invention:

[0054] The present invention realizes accurate monitoring and early warning of groundwater level changes in the target area through the coordinated work of the data acquisition unit, data collection library, preprocessing unit, data processing unit, data analysis unit and early warning display unit. Its beneficial effects and advantages are mainly reflected in the following aspects:

[0055] Accurate monitoring and early warning: By collecting environmental information in real time and combining it with historical data, the present invention can accurately analyze the changing trend of groundwater levels, timely warn of possible drought problems, and help relevant departments take countermeasures in advance.

[0056] Data-driven decision support: The present invention provides data-based decision support, making water resource management and planning more scientific and reasonable. Through the comprehensive analysis of groundwater level change, rainfall parameters, temperature parameters and humidity parameters, the scarcity of groundwater resources can be more accurately assessed.

[0057] Improve water resource utilization efficiency: Through the prediction of future groundwater levels and timely warning, the allocation and use of water resources can be optimized, the utilization efficiency of water resources can be improved, and waste can be reduced.

[0058] Promoting sustainable development: The invention helps to achieve sustainable management of water resources, protect and restore groundwater systems, and ensure a long-term and stable supply of water resources.

[0059] Reduce economic losses: Timely early warning systems can reduce economic losses caused by groundwater scarcity, such as agricultural production losses, industrial water shortages, etc.

[0060] Raising public awareness: The use of early warning display units can enhance the public's awareness of water resource protection and promote the participation of all sectors of society in water resource protection work.

[0061] Strong adaptability: The present invention can adjust parameters and models according to the specific conditions of different regions, and has strong adaptability and broad application prospects.

[0062] In summary, the present invention provides an effective solution for the monitoring, early warning and management of groundwater resources through integrated innovative technical means, which is of great significance for ensuring water resource security and promoting sustainable economic and social development. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below in conjunction with the accompanying drawings.

[0064] Figure 1 It is a system block diagram of a resource and environment carrying capacity monitoring and early warning system of the present invention.

[0065] Figure 2 It is a flow chart of a resource and environment carrying capacity monitoring and early warning system of the present invention. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Embodiment 1

[0067] See also Figure 1and Figure 2 As shown, the present invention is a resource and environmental carrying capacity monitoring and early warning system, comprising:

[0068] A data acquisition unit, used to obtain environmental information of a target area;

[0069] Environmental information includes groundwater level change values, rainfall parameters, and temperature parameters in the target area within a preset standard period;

[0070] The groundwater level change value is the result obtained by subtracting the groundwater level value obtained at the end time node of the corresponding standard period from the groundwater level value obtained at the start time node of the corresponding standard period;

[0071] The temperature parameter is the average value of the temperature values ​​obtained at each preset time node within the corresponding target period;

[0072] A data collection library for storing environmental information within a standard period of time;

[0073] The preprocessing unit is used to divide the environmental information into a first environmental information set and a second environmental information set according to the positive and negative states of the groundwater level change values ​​in multiple standard time periods that have occurred:

[0074] If the groundwater level change value is a positive number, the environmental information in the corresponding standard period is included in the first environmental information set, which indicates that the groundwater is in a state of retreat and is prone to drought problems;

[0075] At the same time, extract the temperature parameters corresponding to the standard period when the groundwater level change value is ≤ β1 and the rainfall parameter is less than or equal to β2, calculate the mean of all temperature parameters, and record it as the standard temperature value BW;

[0076] Wherein β1 and β2 are preset values, and β1≥0, β2≥0. In this embodiment, when the groundwater level change value is ≤β1 and the rainfall parameter is less than or equal to β2, it means that the groundwater level has no significant change in the standard period and the rainfall is small. The standard temperature value indicates that the temperature has no significant effect on the retreat of the groundwater level.

[0077] A data processing unit, used to standardize the environmental information in the first environmental information set in the target area and obtain a temperature impact standard value;

[0078] The specific method is as follows:

[0079] SS1. Data extraction

[0080] From the first environmental information set, obtain the groundwater level change value, rainfall parameter, and temperature parameter corresponding to each standard time period;

[0081] SS2, calculation of water level unit rainfall coefficient

[0082] Select a standard time period.

[0083] By dividing the groundwater level change value by the rainfall parameter, the rainfall value of the groundwater level change unit is obtained, and this value is recorded as the water level unit rainfall coefficient;

[0084] By analogy, the unit rainfall coefficient of water level in each standard period is calculated;

[0085] SS3. Build an analysis package

[0086] The two standard periods are grouped into a set of analysis packages, and the corresponding water level unit rainfall coefficients and temperature parameters in the two standard periods are extracted from the analysis packages, and the water level unit rainfall coefficients in the two standard periods are marked as DY1 and DY2, respectively, and the temperature parameters in the two standard periods are marked as W1 and W2, respectively, where DY1 and W1 are environmental information of the same standard period, and DY2 and W2 are environmental information of the same standard period;

[0087] SS4. Calculate the temperature influence coefficient

[0088] Compare DY1 and DY2, and W1 and W2:

[0089] If DY1>DY2 and W1>W2 are both true, the temperature influence coefficient WY is calculated by WY=(W1-W2) / (DY1-DY2);

[0090] If DY1<DY2 and W1<W2 are both true, the temperature influence coefficient WY is calculated by WY=(W2-W1) / (DY2-DY1);

[0091] If DY1<DY2 and W1≥W2 holds, or DY1≥DY2 and W1<W2 holds, or DY1=DY2 and W1=W2 holds, the temperature influence coefficient is not calculated through the environmental information of the two standard time periods;

[0092] By analogy, the temperature influence coefficient calculated from the environmental information corresponding to multiple groups of analysis packages is calculated;

[0093] SS5. Determine the standard value of temperature influence

[0094] All the obtained temperature influence coefficients are marked as WXi, i = 1, 2, ... n, n represents the number of temperature influence coefficients;

[0095] Then, the variance calculation formula is used to calculate the discrete values ​​between each temperature influence coefficient;

[0096] The discrete value is then compared with the preset discrete threshold:

[0097] If the discrete value is greater than the discrete threshold, it means that the discrete degree between the temperature influence coefficients is large. Then, the corresponding WXi values ​​are deleted in order from large to small according to |WXi-WXp| and the remaining discrete values ​​are calculated accordingly until the discrete value is less than or equal to the discrete threshold, where WXp represents the average value of all WXi used in calculating the corresponding discrete value.

[0098] Then, when the discrete value is less than or equal to the discrete threshold, the WXi involved in calculating the discrete value is extracted, and the average value of all corresponding WXi is calculated, and then the value is marked as the temperature influence standard value PW;

[0099] The data acquisition unit is also used to obtain weather forecast information for the target area within a future specified period, the weather forecast information including future rainfall and future temperature parameters;

[0100] The data analysis unit is used to calculate the groundwater level value within the future specified period in combination with the weather forecast information, and compare it with the preset groundwater level warning threshold to obtain different warning signals at different levels;

[0101] SD1. First, the future specified period is divided into several pre-analysis periods according to the standard period, and then the weather forecast information corresponding to each pre-analysis period is extracted, and the future rainfall and future temperature parameters in each pre-analysis period are recorded as Yj and Wj respectively, j = 1, 2, ... m, m represents the number of pre-analysis periods;

[0102] SD2, collect the groundwater level value at the current time node at the same time;

[0103] SD3, according to the time sequence of the pre-analysis period, the groundwater level value of the current time node collected is used as the groundwater level value of the starting time node of the first pre-analysis period, and it is recorded as DS1;

[0104] Then let j be 1.

[0105] Then compare Wj with BW:

[0106] If Wj>BW, then DS2=(Wj-BW)*PW*(Yj+DS1) is used to calculate the groundwater level value DS2 at the end time node of the first pre-analysis period, that is, the groundwater level value DS2 at the start time node of the second pre-analysis period;

[0107] If Wj≤BW, it means that the future temperature parameters of the pre-analysis period have no significant effect on the groundwater level value, and the groundwater level value collected at the current time node is used as the groundwater level value DS2 at the starting time node of the second pre-analysis period;

[0108] Then let the value of j be 2, 3, ... m, and so on, and obtain the groundwater level value DSm+1 at the end time node of the mth pre-analysis period;

[0109] SD4, then compare DSm+1 with the preset groundwater level warning threshold DSy:

[0110] If DSm+1>3*k*DSy, it means that the target area has sufficient groundwater resources in the future specified period, and no warning signal is generated;

[0111] If 3*k*DSy≥DSm+1>2*k*DSy, it means that the groundwater resources in the target area are in a state of slight scarcity in the future specified period, and a primary warning signal is generated;

[0112] If 2*k*DSy≥DSm+1>k*DSy, it means that the groundwater resources in the target area will be in a medium shortage state in the future specified period, and a medium-level warning signal will be generated;

[0113] If k*DSy≥DSm+1, it means that the groundwater resources in the target area are in a serious shortage state in the future specified period, and a high-level early warning signal is generated;

[0114] In this embodiment, k is a preset influence coefficient, and the value range of k is: 0.8245-1.3625

[0115] This embodiment can effectively predict the change of groundwater level in the area within a specified period in the future by collecting and analyzing the environmental information of the target area in real time, including groundwater level change, rainfall, and temperature parameters. This system can not only provide a scientific basis for water resource management, but also generate corresponding early warning signals under different levels of groundwater resource scarcity, helping relevant departments to take timely emergency measures.

[0116] This embodiment reduces the need for manual intervention and improves the efficiency and accuracy of data processing through automated data collection and analysis. The groundwater level prediction and early warning functions provided can help decision makers understand the water resource status and formulate more scientific and reasonable water resource allocation and management strategies. By monitoring and early warning of groundwater level changes, potential drought risks can be identified at an early stage, so that preventive measures can be taken to reduce losses caused by drought.

[0117] This embodiment is designed to be suitable for different environmental conditions, and the prediction model and warning threshold can be adjusted according to actual needs to adapt to different geographical and climatic conditions. Effective water resource management can reduce unnecessary economic losses, such as crop yield reduction caused by water shortage, thereby improving the economic benefits of the region. Embodiment 2

[0118] As the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of the present embodiment is different from that of the first embodiment only in that:

[0119] If the groundwater level change value is negative, the environmental information in the corresponding standard period is included in the second environmental information set, which means that the groundwater is in a rising state and drought is not likely to occur; Embodiment 3

[0120] As the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is that this embodiment also includes:

[0121] The early warning display unit is used to display the results obtained by the data analysis unit and display the early warning signals of each level with different forms of marks, so that the relevant departments can adopt relevant emergency measures for the target area; Embodiment 4

[0122] As the fourth embodiment of the present invention, when the present application is specifically implemented, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine and implement the solutions of the above-mentioned first, second and third embodiments.

[0123] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0124] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A resource and environmental carrying capacity monitoring and early warning system, characterized in that: include: A data acquisition unit is used to obtain environmental information of a target area, including groundwater level change values, rainfall parameters, and temperature parameters of the target area within a preset standard period, and is also used to obtain weather forecast information of the target area within a future specified period, including future rainfall and future temperature parameters; A pre-processing unit is used to extract the environmental information corresponding to the standard period when the groundwater level change value is positive according to the positive and negative states of the groundwater level change value during multiple standard periods that have occurred; It is also used to extract corresponding temperature parameters according to groundwater level change value and rainfall parameter, obtain the mean value of all temperature parameters, and record it as standard temperature value BW. The method of extracting corresponding temperature parameters according to groundwater level change value and rainfall parameter is as follows: extracting temperature parameters corresponding to the standard period when groundwater level change value ≤ β1 and rainfall parameter is less than or equal to β2, wherein β1 and β2 are preset values, and β1 ≥ 0, β2 ≥ 0; The data processing unit is used to standardize the environmental information extracted from the target area by the preprocessing unit and obtain the temperature impact standard value; the specific method of standardization is as follows: SS1, when the groundwater level change value is positive, the corresponding groundwater level change value, rainfall parameter, and temperature parameter of each standard period; SS2. Select a standard period, divide the groundwater level change value by the rainfall parameter, and obtain the rainfall value of the groundwater level change unit, and record this value as the water level unit rainfall coefficient; By analogy, the unit rainfall coefficient of water level in each standard period is calculated; SS3. Group the two standard periods into a set of analysis packages, extract the corresponding water level unit rainfall coefficients and temperature parameters in the two standard periods from the analysis packages, and mark the water level unit rainfall coefficients in the two standard periods as DY1 and DY2, respectively, and mark the temperature parameters in the two standard periods as W1 and W2, respectively, where DY1 and W1 are environmental information of the same standard period, and DY2 and W2 are environmental information of the same standard period; SS4. Compare DY1 and DY2, and W1 and W2: If DY1>DY2 and W1>W2 are both true, the temperature influence coefficient WY is calculated by WY=(W1-W2) / (DY1-DY2); If DY1<DY2 and W1<W2 are both true, the temperature influence coefficient WY is calculated by WY=(W2-W1) / (DY2-DY1); By analogy, the temperature influence coefficient calculated from the environmental information corresponding to multiple groups of analysis packages is calculated; SS5. Extract all the temperature influence coefficients, and use variance analysis to screen and analyze all the temperature influence coefficients, and obtain the mean of the screened and retained temperature influence coefficients based on the analysis results; the screening analysis method is as follows: All the obtained temperature influence coefficients are marked as WXi, i = 1, 2, ... n, n represents the number of temperature influence coefficients; Then, the variance calculation formula is used to calculate the discrete values ​​between each temperature influence coefficient; The discrete value is then compared with the preset discrete threshold: If the discrete value is greater than the discrete threshold, it means that the discrete degree between the temperature influence coefficients is large. Then, the corresponding WXi values ​​are deleted in order from large to small according to |WXi-WXp| and the remaining discrete values ​​are calculated accordingly until the discrete value is less than or equal to the discrete threshold, where WXp represents the average value of all WXi used in calculating the corresponding discrete value. Then, when the discrete value is less than or equal to the discrete threshold, the WXi involved in calculating the discrete value is extracted, and the average value of all corresponding WXi is calculated, and then the value is marked as the temperature influence standard value PW; The data analysis unit is used to calculate the groundwater level value within the future specified period in combination with the weather forecast information, and compare it with the preset groundwater level warning threshold to obtain different warning signals at different levels; the specific method of the data analysis unit is as follows: SD1. First, the future specified period is divided into several pre-analysis periods according to the standard period, and then the weather forecast information corresponding to each pre-analysis period is extracted, and the future rainfall and future temperature parameters in each pre-analysis period are recorded as Yj and Wj respectively, j = 1, 2, ... m, m represents the number of pre-analysis periods; SD2, collect the groundwater level value at the current time node at the same time; SD3, according to the time sequence of the pre-analysis period, the groundwater level value of the current time node collected is used as the groundwater level value of the starting time node of the first pre-analysis period, and it is recorded as DS1; Then let j be 1. Then compare Wj with BW: If Wj>BW, then DS2=(Wj-BW)*PW*(Yj+DS1) is used to calculate the groundwater level value DS2 at the end time node of the first pre-analysis period, that is, the groundwater level value DS2 at the start time node of the second pre-analysis period; If Wj≤BW, it means that the future temperature parameters of the pre-analysis period have no significant effect on the groundwater level value, and the groundwater level value collected at the current time node is used as the groundwater level value DS2 at the starting time node of the second pre-analysis period; Then let the value of j be 2, 3, ... m, and so on, and obtain the groundwater level value DSm+1 at the end time node of the mth pre-analysis period; SD4, then compare DSm+1 with the preset groundwater level warning threshold DSy, and obtain different levels of warning signals according to the comparison results; In SD4, if DSm+1>3*k*DSy, it means that the target area has sufficient groundwater resources in the future specified period, and no warning signal is generated; If 3*k*DSy≥DSm+1>2*k*DSy, it means that the groundwater resources in the target area are in a state of slight scarcity in the future specified period, and a primary warning signal is generated; If 2*k*DSy≥DSm+1>k*DSy, it means that the groundwater resources in the target area will be in a medium shortage state in the future specified period, and a medium-level warning signal will be generated; If k*DSy≥DSm+1, it means that the groundwater resources in the target area are in a serious shortage state in the future specified period, and a high-level early warning signal is generated; k is the preset influence coefficient, and the value range of k is: 0.8245-1.3625.

2. A resource and environmental carrying capacity monitoring and early warning system according to claim 1, characterized in that: in, The groundwater level change value is the result obtained by subtracting the groundwater level value obtained at the end time node of the corresponding standard period from the groundwater level value obtained at the start time node of the corresponding standard period; The temperature parameter is the average value of the temperature values ​​obtained at each preset time node within the corresponding target period.

3. A resource and environment carrying capacity monitoring and early warning system according to claim 1, characterized in that: If DY1<DY2 and W1≥W2 holds, or DY1≥DY2 and W1<W2 holds, or DY1=DY2 and W1=W2 holds, the temperature influence coefficient is not calculated through the environmental information of the two standard time periods.

4. A resource and environment carrying capacity monitoring and early warning system according to claim 1, characterized in that: Also includes: The early warning display unit is used to display the results obtained by the data analysis unit, and to display early warning signals of various levels using different forms of marks.

Images