Method for analyzing damage to ecological environment of hydraulic environment

Abstract

The invention discloses a hydraulic ring ecological environment damage analysis method, and particularly relates to the technical field of hydraulic ring ecological environment monitoring, which comprises the following steps: taking a target hydraulic ring area as an object, performing relevance examination based on monitoring data, and calculating change rate parameters of various hydraulic ring ecological environment indexes; meanwhile, social behavior data reflecting social system response are collected, social behavior characterization parameters are formed, a social and ecological coupling pressure index is constructed on the basis, a hydraulic environment ecological environment damage risk level is determined by comparing the social and ecological coupling pressure index with a multi-level pressure threshold value, and then a corresponding hydraulic environment ecological environment regulation and control analysis result is output; according to the method, the physical and chemical monitoring data of the hydraulic environment ecological environment and the social behavior data are fused through the unified time scale, the social and ecological coupling pressure index is constructed, the risk is judged in a grading manner, the result output from change analysis to regulation and control analysis is realized, and the comprehensiveness, the accuracy and the performability of hydraulic environment ecological environment damage identification are improved.

Description

Technical Field

[0001] This invention relates to the field of hydrogeological and environmental monitoring technology, and more specifically, to a method for analyzing damage to hydrogeological and environmental systems. Background Technology

[0002] With the continuous increase in the intensity of groundwater development and utilization and the expanding scope of human engineering activities, changes in water quantity, water quality, and ecological structure in the hydrogeological and environmental systems are becoming increasingly common. Current monitoring and analysis of the hydrogeological and environmental systems mainly rely on water environment monitoring equipment and remote sensing equipment to obtain physicochemical monitoring data, using individual indicators such as water hardness, water level, and pollutant concentrations as the basis for judgment. However, this type of analysis typically focuses on the static state judgment of a single physical indicator, making it difficult to reflect the magnitude and trend of changes in the hydrogeological and environmental system over time, and also failing to promptly identify the potential risks of damage implied by the coordinated changes of multiple indicators.

[0003] Changes in the hydrological and environmental environment often trigger responses at the social system level, such as residents' emotional reactions to changes in water quality, adjustments in water use behavior, and changes in the number of formal demands. However, the use of such social behavior information in existing technologies is relatively limited. Social behavior data and hydrological and environmental physicochemical monitoring data are usually separate, lacking comprehensive analysis methods under a unified time scale and unified analysis framework, resulting in lag and incompleteness in the identification of hydrological and environmental damage risks.

[0004] Existing technologies for analyzing the risks of hydrogeological and environmental hazards often rely on fixed thresholds or single indicators, making it difficult to dynamically adjust based on the actual changes in the state of the hydrogeological and environmental hazards in different regions and time periods. Furthermore, it is difficult to directly translate the analysis results into risk assessments and subsequent control analyses with hierarchical significance, thus limiting the application of the analytical conclusions in practical management and decision-making. Therefore, this invention proposes a method for analyzing damage to the hydrogeological and environmental hazards to address the aforementioned problems. Summary of the Invention

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for analyzing damage to the hydrological and environmental ecosystems includes the following steps: By setting up water environment monitoring equipment and remote sensing monitoring equipment in the target hydrogeological and environmental area, physical and chemical monitoring data of the hydrogeological and environmental environment are collected and continuously recorded according to a uniform time scale. Based on the physical and chemical monitoring data of hydrogeological environment, a correlation review is conducted. Within a preset time interval, the rate of change parameters corresponding to each hydrogeological environment index in the correlation review results are calculated. The rate of change parameters are used to reflect the magnitude and trend of change of the state of hydrogeological environment relative to the historical baseline state. Within the area corresponding to the target hydrogeological and environmental zone, collect social behavior data reflecting the social system's response to changes in the hydrogeological and environmental environment. We conduct emotion intensity analysis, abnormal change analysis, and demand expression intensity analysis on social behavior data to form social behavior characterization parameters that characterize the social system's tolerance level to changes in the hydrological and environmental environment. Based on the rate of change parameter and social behavior characterization parameter, a social-ecological coupling pressure index is constructed. The social-ecological coupling pressure index is used to reflect the comprehensive pressure state between the social system and the hydro-environmental ecological environment. The social and ecological coupling pressure index is compared with a pre-set multi-level pressure threshold. The risk level of hydro-environmental damage is determined based on the comparison results, and the corresponding hydro-environmental regulation and control analysis results are output according to the risk level of hydro-environmental damage.

[0006] In a preferred embodiment, continuous recording according to a uniform time scale means: Determine a uniform time interval for recording physical and chemical monitoring data of water conservancy and environmental systems; The collected physical and chemical monitoring data of the hydrogeological environment are periodically collected at uniform time intervals. The periodically collected data is stored continuously in chronological order, so that the various hydrological, environmental, and ecological physical and chemical monitoring data form a continuous time series under the same time reference.

[0007] In a preferred embodiment, performing a correlation review refers to: Based on continuously recorded hydrogeological and environmental physicochemical monitoring data, historical baseline data within the corresponding time range are obtained. Based on the variation range between various hydrological and environmental indicators and historical baseline data, the correlation coefficient between various hydrological and environmental indicators and the overall trend of hydrological and environmental changes is calculated. The various hydrological and environmental indicators are ranked according to the magnitude of their correlation coefficients. Hydrological and environmental indicators whose correlation coefficient ranking is within the dynamic range in the ranking results are selected as the data type of hydrological and environmental indicators after correlation review.

[0008] In a preferred embodiment, the logic for determining the dynamic quantity is as follows: Based on the correlation coefficients corresponding to various hydrological and environmental indicators, the mean of the correlation coefficients is calculated; each correlation coefficient is compared with the mean to determine the correlation coefficient range in which the deviation from the mean exceeds a preset proportion; and the dynamic number of hydrological and environmental indicators used for indicator screening is determined based on the number of hydrological and environmental indicators falling within the correlation coefficient range.

[0009] In a preferred embodiment, the rate of change parameter is obtained as follows: Within a preset time interval, obtain the corresponding index values ​​of various hydrological and environmental indicators at multiple consecutive time points after the correlation review; Based on the index values ​​at adjacent time points, calculate the changes in the values ​​of various hydrological and environmental indicators between adjacent time points. The absolute values ​​of the numerical changes between each time point are taken and accumulated within a preset time interval to obtain the cumulative changes of each hydrological and environmental index. The cumulative change was normalized to the length of the preset time interval to obtain the change rate parameters corresponding to each hydrological and environmental ecological environment indicator. The rate of change parameter is compared with the rate of change of the corresponding indicator within the historical baseline time interval to reflect the magnitude and trend of change in the state of the hydro-environmental environment relative to the historical baseline state.

[0010] In a preferred embodiment, the social behavior data includes online information interaction data related to the water environment, consumption data corresponding to residents' water avoidance behavior, and textual data of formal social demands related to the water environment.

[0011] In a preferred embodiment, the logic for generating social behavior representation parameters is as follows: Based on a preset time interval with the same rate of change parameter, multiple statistical periods are divided in chronological order. The number of negative emotional messages and the total number of messages are counted separately in each statistical period, and the ratio of the number of negative emotional messages to the total number of messages is used as the emotional intensity value of the network information in that statistical period. Within each statistical period, calculate the percentage change in water avoidance consumption relative to the corresponding consumption amount within the historical baseline time interval, and use the percentage change as the abnormal consumption change value for that statistical period. The number of texts containing strong appeals is counted within each statistical period, and the ratio of the number of texts with strong appeals to the total number of appeal texts is used as the appeal intensity value for that statistical period. Linear mapping is performed on the numerical values ​​of online information sentiment intensity, abnormal consumption changes, and the intensity of demand expression within the same numerical range. Within each statistical period, the weighted sum of the mapped values ​​of online information sentiment intensity, abnormal consumption changes, and demand expression intensity yields the social behavior representation parameters.

[0012] In a preferred embodiment, the calculation logic for the social-ecological coupling pressure index is as follows: Within the same time interval, obtain the change rate parameters corresponding to multiple hydrological and environmental indicators after correlation review, and obtain social behavior representation parameters; By performing linear mapping on each rate of change parameter within the same numerical range, standardized rate of change parameters are obtained. Based on the standardized rate of change parameters, the difference between each standardized rate of change parameter and the average value of the standardized rate of change parameters is calculated, and the absolute value of the difference is accumulated to obtain the structural dispersion value used to characterize the degree of dispersion of changes in the hydrological and environmental environment among different indicators. By performing saturated modulation calculations on the structural dispersion values ​​based on social behavior representation parameters, the social behavior representation parameters are used as constraint factors on the ecological change structure of the social system to participate in the calculation, thus obtaining the social and ecological coupling pressure index within this time interval.

[0013] In a preferred embodiment, saturation modulation operation refers to: By mapping the social behavior representation parameters to a preset range of social tolerance values, the corresponding social tolerance mapping values ​​are obtained. Based on the position of the social carrying capacity mapping value within the social carrying capacity numerical range, the saturation control parameters used to limit the calculation range of dispersed structural values ​​are determined according to the preset proportional conversion rules. The structural dispersion value is compared with the saturation control parameter. When the structural dispersion value is less than or equal to the saturation control parameter, the structural dispersion value is kept unchanged and used as the social and ecological coupling pressure index. When the structural dispersion value is greater than the saturation control parameter, the excess value between the structural dispersion value and the saturation control parameter is calculated. The excess value is multiplied by a compression ratio coefficient less than one, and the product is added to the saturation control parameter to obtain the compressed structural dispersion value, which is used as the social and ecological coupling pressure index.

[0014] In a preferred embodiment, the logic for determining the risk level of damage to the hydrological and environmental ecosystem is as follows: Obtain the social and ecological coupling pressure index calculated over multiple historical time intervals; The social and ecological coupling pressure indices within multiple historical time intervals are sorted according to their numerical values ​​to form a pressure index sequence; According to the preset quantile ratio, the values ​​corresponding to multiple quantile positions in the pressure index sequence are determined, and the corresponding values ​​are determined as multi-level pressure thresholds. Compare the social and ecological coupling pressure index calculated within the current time interval with the multi-level pressure threshold. Based on the threshold range of the social and ecological coupling pressure index, the corresponding risk level of water conservancy and environmental damage is determined.

[0015] The technical effects and advantages of this invention are as follows: This invention collects physicochemical monitoring data of the hydrogeological environment within a target hydrogeological area using water environment monitoring equipment and remote sensing monitoring equipment, and continuously records this data according to a unified time scale. Simultaneously, it collects social behavior data reflecting the social system's response to changes in the hydrogeological environment within an area corresponding to the spatial range of the target hydrogeological area. This allows the analysis input to move beyond data from a single source, forming a parallel input structure of physical and social aspects. Based on this, the invention performs emotion intensity analysis, anomaly analysis, and demand expression intensity analysis on the social behavior data, forming social behavior characterization parameters. This enables social information to participate in subsequent calculations in a consistent quantitative form, allowing the analysis of hydrogeological environment damage to simultaneously cover both the changes in the state of the hydrogeological environment and changes in social response. This improves the completeness, interpretability, and comparability of the analysis, avoiding the problem of a single analytical perspective caused by relying solely on physicochemical monitoring data of the hydrogeological environment.

[0016] This invention conducts correlation review based on hydrogeological and environmental physicochemical monitoring data, and calculates the rate of change parameters corresponding to various hydrogeological and environmental indicators in the correlation review results within a preset time interval. This transforms the calculation object from the original hydrogeological and environmental physicochemical monitoring data into rate of change parameters that can characterize the magnitude and trend of change. Since the rate of change parameters are explicitly used to reflect the magnitude and trend of change in the state of hydrogeological and environmental conditions relative to historical baseline states, this invention can incorporate the change characteristics of different hydrogeological and environmental indicators into a unified expression framework within the same preset time interval, and form a comparable change profile with historical baseline states as a reference. This enhances the stability and consistency of the analysis conclusions, reduces inconsistencies in judgment caused by the diversity, magnitude differences, and time fluctuations of hydrogeological and environmental indicators, and makes the analysis results of hydrogeological and environmental damage more concentrated in reflecting the change characteristics of indicators more relevant to the overall change.

[0017] This invention constructs a social-ecological coupling pressure index based on change rate parameters and social behavior characterization parameters. It compares this index with pre-set multi-level pressure thresholds, determines the risk level of hydro-environmental damage based on the comparison results, and outputs corresponding hydro-environmental regulation and analysis results according to the risk level. This creates a closed-loop analysis chain from data collection and continuous recording to parameter formation, index construction, threshold comparison and grading, and output of regulation and analysis results. By setting multi-level pressure thresholds and risk levels, this invention can map the continuous changes of the social-ecological coupling pressure index into a clear risk level output. This makes the analysis results gradable and directly applicable to regulation and analysis, avoiding the problem of analysis results remaining at a purely numerical or descriptive level and difficult to use for subsequent treatment. This improves the feasibility and practical application value of hydro-environmental damage analysis results. Attached Figure Description

[0018] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings; Figure 1 This is a schematic diagram of a method for analyzing damage to the hydrological and environmental environment according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0020] Reference Figure 1 The following examples were obtained: Example 1: A method for analyzing damage to the hydrogeological environment, comprising the following steps: A method for analyzing damage to the hydrogeological environment, comprising the following steps: Collecting physicochemical monitoring data of the hydrogeological environment using water environment monitoring equipment and remote sensing monitoring equipment installed in the target hydrogeological area, and continuously recording the physicochemical monitoring data of the hydrogeological environment according to a unified time scale; the significance of this step is to form a continuously traceable foundation of physicochemical monitoring data of the hydrogeological environment, so that subsequent calculations and comparisons are based on the same time benchmark, avoiding temporal misalignment caused by different sources and different sampling rhythms, thereby ensuring consistency and comparability in the characterization of changes in the state of the hydrogeological environment.

[0021] Based on the physicochemical monitoring data of hydrogeological and environmental systems, a correlation review is conducted. Within a preset time interval, the rate of change parameters corresponding to each hydrogeological and environmental indicator in the correlation review results are calculated. The rate of change parameters are used to reflect the magnitude and trend of the change in the state of hydrogeological and environmental systems relative to the historical baseline state. The significance of this step is that it first selects hydrogeological and environmental indicators that are more closely related to the overall change trend of hydrogeological and environmental systems from the physicochemical monitoring data of hydrogeological and environmental systems through correlation review, and then transforms the change process of these hydrogeological and environmental indicators into rate of change parameters within a preset time interval. This transforms the original monitoring data into a unified quantitative result that can be used to measure the "intensity and direction of change". With the historical baseline state as a reference, the magnitude and trend of change have an interpretable reference framework.

[0022] Within the area corresponding to the target hydrological and environmental zone, social behavior data reflecting the social system's response to changes in the hydrological and environmental environment are collected. The significance of this step is to supplement the social response information that cannot be covered by relying solely on the physical and chemical monitoring data of the hydrological and environmental environment. It incorporates the external manifestations of the social system in response to changes in the hydrological and environmental environment within the target hydrological and environmental zone into the same analysis process, so that risk identification is not limited to whether physical changes have reached traditional thresholds, but can capture social response signs in advance, providing social input for subsequent comprehensive stress characterization.

[0023] By conducting emotion intensity analysis, abnormal change analysis, and demand expression intensity analysis on social behavior data, social behavior representation parameters are formed to characterize the social system's tolerance level to changes in the hydrological and environmental environment. The significance of this step lies in transforming social behavior data from a scattered, heterogeneous, and difficult-to-comparate information form into calculable, comparable, and traceable social behavior representation parameters. This allows the social system's tolerance level to changes in the hydrological and environmental environment to be expressed in numerical form and linked with the change rate parameter in the same analysis link, thereby providing a direct input for the subsequent construction of a social-ecological coupling pressure index.

[0024] Based on the rate of change parameter and social behavior representation parameter, a social-ecological coupling pressure index is constructed. The social-ecological coupling pressure index is used to reflect the comprehensive pressure state between the social system and the hydro-environmental environment. The significance of this step is that it integrates the rate of change parameter on the ecological side and the social behavior representation parameter on the social side within the same time interval to form a social-ecological coupling pressure index that can simultaneously reflect "ecological change pressure" and "social bearing capacity". This transforms the system output from a single physical indicator judgment to a comprehensive pressure state characterization, thereby providing a unified and quantifiable core basis for risk classification.

[0025] The social and ecological coupling pressure index is compared with pre-set multi-level pressure thresholds. Based on the comparison results, the risk level of hydrological and environmental damage is determined, and the corresponding hydrological and environmental regulation analysis results are output according to the risk level. The significance of this step lies in converting the social and ecological coupling pressure index into an actionable risk grading result. By comparing it with pre-set multi-level pressure thresholds, the risk level is determined, giving the output results clear grading meaning and operability. Furthermore, the risk level is mapped to the hydrological and environmental regulation analysis results, thus closing the analysis link from "monitoring and calculation" to "grading and output," facilitating the implementation of management decisions and responses.

[0026] In one embodiment, continuous recording according to a unified time scale refers to: determining a unified time interval for recording hydrogeological and environmental physicochemical monitoring data; periodically collecting the acquired hydrogeological and environmental physicochemical monitoring data according to the unified time interval; and continuously storing the periodically collected data in chronological order, so that all hydrogeological and environmental physicochemical monitoring data form a continuous time series under the same time reference. To ensure that subsequent correlation review and change rate parameter calculation have the same time reference, a unified time interval for recording hydrogeological and environmental physicochemical monitoring data is determined within the target hydrogeological and environmental area based on the change characteristics of the monitored objects. This unified time interval can be set according to the diurnal fluctuations of groundwater levels, rainfall infiltration response lag, and the frequency of changes in water intake conditions. For example, it could be set to 15 minutes for water level and turbidity, 1 hour for water hardness and conductivity, and 4 hours for water pollutant concentration. Simultaneously, timestamp alignment rules are given when determining the unified time interval to ensure that all data... Recording points should be placed on the hour, half-hour, or full scale mark to facilitate horizontal comparison within the same time interval. Publicly available water, environmental, and ecological physicochemical monitoring data can include groundwater level, water temperature, pH, conductivity, total dissolved solids, dissolved oxygen, oxidation-reduction potential, water hardness, turbidity, ammonia nitrogen, nitrate nitrogen, total phosphorus, total nitrogen, chemical oxygen demand, five-day biochemical oxygen demand, fluoride, iron, manganese, lead, cadmium, arsenic, mercury, hexavalent chromium, volatile organic compounds, petroleum hydrocarbons, chloride, sulfate, and total coliform bacteria indicators to ensure coverage of drinking experience-sensitive indicators and ecological risk-sensitive indicators.

[0027] After the unified time interval is determined, the collected hydrological and environmental physicochemical monitoring data are periodically collected according to the unified time interval. During the periodic collection process, cross-source alignment and missing data filling implementation details are introduced to enhance the continuity of data under the same time reference. For example, water environment monitoring equipment triggers collection and transmits records containing collection timestamps and equipment numbers according to the unified time interval. When there is a long transit interval, remote sensing monitoring equipment aligns the turbidity or water pollutant concentration obtained by remote sensing inversion to the nearest unified time interval collection point through time interpolation. At the same time, for short-term missing data, the most recent valid collection value is used to maintain the data, and for continuous missing data exceeding twice the unified time interval, the data is marked as unusable interval so as to avoid distorted data when calculating the rate of change parameters. For example, when the unified time interval is one hour and a station experiences a transmission interruption between 10:00 and 12:00, the valid value at 10:00 can be used to maintain and fill the data at 11:00. However, if the data is still missing at 12:00, the interval between 11:00 and 12:00 is marked as unusable, thereby ensuring the traceability of the quality of periodically collected data.

[0028] The periodically collected data is stored continuously in chronological order, forming a continuous time series of various hydrological, environmental, and ecological physicochemical monitoring data under the same time benchmark. A structured organization method for subsequent analysis is incorporated during continuous storage, allowing different indicators to be directly assembled into a multidimensional sequence under the same time benchmark. For example, a time index is established using a unified time interval as the primary key, a spatial index as the secondary key, and a field index as the indicator type. This allows for the direct extraction of continuous numerical sequences of each indicator within any preset time interval. Simultaneously, a quality marker field is added to each record, indicating whether it is original collection, interpolated alignment, or maintain-fill. This allows for different weights to be applied to different quality markers or their direct removal when calculating the rate of change parameter. For example, original collection can be assigned a value of 1, interpolated alignment a value of 0.8, and maintain-fill a value of 0.5, thus ensuring that the continuous time series is not only continuous but also auditable.

[0029] After forming a continuous time series under the same time benchmark, this continuous time series is directly used to extract preset time intervals and calculate change rate parameters in subsequent steps. This makes the unified time interval a data coordinate axis throughout the entire process. For example, if the preset time interval is set to the past seven days and the unified time interval is one hour, then each indicator at each monitoring point corresponds to 168 continuous recording points within the preset time interval. Subsequently, adjacent time point differences, absolute value accumulation, and time length normalization can be performed on these recording points to further obtain change rate parameters that can reflect the magnitude and trend of changes in the state of the hydro-environmental environment relative to the historical baseline state. At the same time, the continuous time series also facilitates the division of social behavior data into statistical periods under the same time interval and time alignment with the physical and chemical monitoring data of the hydro-environmental environment. This ensures that the construction of the social and ecological coupling pressure index is based on the same time frame and avoids coupling deviation caused by inconsistent time granularity.

[0030] In one embodiment, correlation review refers to: obtaining historical benchmark data within the corresponding time range based on continuously recorded hydrogeological and environmental physicochemical monitoring data; calculating the correlation coefficient between each hydrogeological and environmental indicator and the overall trend of hydrogeological and environmental change based on the variation range between each indicator and the historical benchmark data; ranking each indicator according to the magnitude of the correlation coefficient; selecting hydrogeological and environmental indicators whose correlation coefficient ranking is within the dynamic quantity range from the ranking results as the data type of hydrogeological and environmental indicators after correlation review; the logic for determining the dynamic quantity is as follows: calculating the mean of the correlation coefficients based on the correlation coefficients corresponding to each hydrogeological and environmental indicator; comparing each correlation coefficient with the mean to determine the correlation coefficient interval where the deviation from the mean exceeds a preset proportion; and determining the dynamic quantity for indicator screening based on the number of hydrogeological and environmental indicators falling within the correlation coefficient interval. To ensure that the correlation coefficient calculation has a comparable benchmark and avoids short-term anomalies dominating the judgment, historical benchmark data is obtained based on continuously recorded hydrogeological and environmental physicochemical monitoring data within the corresponding time range. Historical benchmark data can be selected from records of the same monitoring point in the same seasonal window over the past three to five years and aligned according to a unified time scale to form a benchmark sequence. For example, the records of groundwater level, water hardness, conductivity, turbidity, ammonia nitrogen, nitrate nitrogen, total phosphorus, total nitrogen, and chemical oxygen demand from May to July of each year in the past three years can be used as historical benchmark data. At the same time, abnormal days affected by extreme rainfall or temporary well shutdowns are removed from the historical benchmark data so that the historical benchmark data represents the normal fluctuation range, thereby providing a stable reference for subsequent calculation of the change range.

[0031] After the historical baseline data is determined, the correlation coefficient between each hydrological and environmental ecological environment indicator and the overall trend of hydrological and environmental changes is calculated based on the variation range between the indicators and the historical baseline data. The variation range can be characterized by the cumulative absolute value or mean deviation of the difference sequence between the current indicator sequence and the corresponding historical baseline data sequence within a preset time interval. The variation ranges of multiple indicators are then processed by linear mapping within the same numerical interval to synthesize the overall trend sequence of hydrological and environmental changes. For example, in the preset time interval of the past 30 days, the average deviation of water hardness relative to the historical baseline data is 120 mg / L, the average deviation of turbidity relative to the historical baseline data is 3.5, the average deviation of nitrate nitrogen relative to the historical baseline data is 0.8 mg / L, and the average deviation of groundwater level relative to the historical baseline data is a drop of 0.4 meters. After mapping the deviation sequences of each indicator to zero to one, the average is calculated to obtain the overall trend sequence of hydrological and environmental changes. Then, the correlation coefficient between the deviation sequence of each indicator and the overall trend sequence of hydrological and environmental changes is calculated separately to obtain the consistency of each indicator's response to the overall trend.

[0032] After the correlation coefficients are calculated, the various hydrological and environmental indicators are ranked according to their values. A variable-scale screening result is then formed by combining this with the logic for determining the dynamic quantity. This dynamic quantity determination logic involves calculating the mean of the correlation coefficients for each hydrological and environmental indicator; comparing each correlation coefficient with the mean to determine the correlation coefficient range where the deviation from the mean exceeds a preset proportion; and determining the dynamic quantity of indicators used for screening based on the number of indicators falling within this range. For example, assuming the correlation coefficients for the ten indicators being ranked are 0.91, 0.88, 0.83, 0.79, 0.75, 0.61, 0.58, 0.49, 0.43, and 0.37, the mean correlation coefficient is 0.66. When the preset proportion is 20%, a deviation from the mean exceeding the preset proportion means the correlation coefficient is greater than 0.79 or less than 0.53. The number of indicators falling within the correlation coefficient range is four, thus determining the dynamic quantity used for indicator screening to be four, making the screening scale variable with data distribution rather than a fixed number.

[0033] Hydrological and environmental indicators whose correlation coefficients rank within the dynamic range of the ranking results are selected as data types of hydrological and environmental indicators after correlation review. These selected results are then directly used as the input set for calculating the rate of change parameters within a preset time interval. This ensures that the rate of change parameters focus on indicators that better represent the overall trend of hydrological and environmental changes, avoiding computational waste on weakly correlated indicators and reducing noise propagation. For example, when the aforementioned dynamic number is four, water hardness, conductivity, turbidity, and nitrate nitrogen are selected as data types of hydrological and environmental indicators after correlation review. Subsequently, within the same preset time interval, these four indicators are subjected to difference analysis of adjacent time points, accumulation of absolute values, and normalization of time length. This allows the rate of change parameters to more comprehensively reflect the magnitude and trend of changes in the hydrological and environmental state relative to the historical baseline state, and provides a more representative ecological input for the subsequent construction of the social and ecological coupling pressure index.

[0034] The overall trend of changes in the hydrogeological and environmental environment can refer to the overall deviation of the physicochemical characteristics of groundwater or surface water relative to the historical baseline state within a preset time interval. For example, water hardness, conductivity, total dissolved solids, pH, and water temperature may show a synchronous increase or decrease within the same time interval. In this case, the overall trend of changes in the hydrogeological and environmental environment is reflected in the systematic changes in the degree of mineralization or ion concentration structure of the water body. Short-term fluctuations of a single indicator do not constitute an overall trend. Only when multiple physicochemical indicators of water quality are consistent in the direction and magnitude of change can they be included in the scope of the overall trend of changes in the hydrogeological and environmental environment.

[0035] The overall trend of changes in the water, engineering, environment and ecological environment can also refer to the overall changes of indicators directly related to residents' water use experience relative to historical baselines within a preset time interval. For example, water turbidity, water color, odor indicators, and water hardness may continuously deviate from historical baseline levels within the same time interval. In this case, the overall trend of changes in the water, engineering, environment and ecological environment does not emphasize whether pollutants exceed the standards, but rather the continuous changes in the sensory attributes of water bodies and user experience over time, thereby reflecting the comprehensive impact of changes in the water, engineering, environment and ecological environment on the perception level of the social system.

[0036] The overall trend of changes in the hydrological and environmental environment can also refer to the overall changes of nutrient and pollution load-related indicators in water bodies relative to historical baselines within a preset time interval. For example, ammonia nitrogen, nitrate nitrogen, total nitrogen, total phosphorus, and chemical oxygen demand may show a synchronous increase, synchronous decrease, or significantly increased fluctuation within the same time interval. In this case, the overall trend of changes in the hydrological and environmental environment reflects a systematic change in the risk of eutrophication or organic pollution pressure in water bodies, rather than an isolated anomaly of a certain pollutant, making it more suitable for subsequent correlation review and calculation of change rate parameters.

[0037] The overall trend of changes in the hydrogeological and environmental environment can also refer to the overall changes in groundwater level, aquifer pressure, water level fluctuation range, and rise rate relative to historical baseline states within a preset time interval. For example, groundwater level may continue to decline, rise may be delayed, or fluctuation frequency may increase significantly. In this case, the overall trend of changes in the hydrogeological and environmental environment is used to reflect the systematic impact of water resource development intensity, changes in recharge conditions, or engineering disturbances on the hydrogeological and environmental environment, providing a hydrodynamic background for explaining changes in water quality indicators.

[0038] In one implementation, the overall trend of hydrological and environmental change can also refer to the comprehensive trend formed by numerically mapping and synthesizing water quality physicochemical indicators, pollution load indicators, and water quantity indicators within the same time interval. This comprehensive trend is used to characterize the overall deviation of the hydrological and environmental state from the historical baseline state. In this case, the overall trend of hydrological and environmental change is not equivalent to any single indicator, but rather a comprehensive expression of the change characteristics of multiple indicators in the time dimension, which is more suitable for calculating the correlation coefficient between various hydrological and environmental indicators and the overall trend.

[0039] In one embodiment, the change rate parameter is obtained as follows: within a preset time interval, the index values ​​of each hydrological and environmental ecological environment index after correlation review are obtained at multiple consecutive time points; based on the index values ​​at adjacent time points, the change in the values ​​of each hydrological and environmental ecological environment index between adjacent time points is calculated; the absolute value of the change in the values ​​between each time point is taken and accumulated within the preset time interval to obtain the cumulative change corresponding to each hydrological and environmental ecological environment index; the cumulative change is normalized with the time length of the preset time interval to obtain the change rate parameter corresponding to each hydrological and environmental ecological environment index; the change rate parameter is compared with the change rate of the corresponding index within the historical benchmark time interval to reflect the magnitude and trend of change in the hydrological and environmental ecological environment state relative to the historical benchmark state. Within a preset time interval, the values ​​of various hydrological and environmental indicators after correlation review are obtained at multiple consecutive time points to ensure that the change process is continuously characterized and aligned with a uniform time interval. For example, if the preset time interval is the past seven days and the uniform time interval is one hour, then the values ​​of groundwater level, water hardness, conductivity, turbidity, ammonia nitrogen, nitrate nitrogen, total phosphorus, total nitrogen, and chemical oxygen demand at each monitoring point correspond to 168 time points. At the same time, to avoid unnecessary amplification of subsequent accumulation due to single-point anomalies, isolated peaks with obvious distortions can be marked during the acquisition of indicator values, and the original values ​​and marker positions can be retained. This ensures that the subsequent calculation of numerical changes is still based on the original sequence, while the marker positions are used to explain the source of deviation, thus providing a basis for the traceability of change rate parameters in review and application.

[0040] Based on the index values ​​at adjacent time points, the numerical changes of various hydrological and environmental indicators between adjacent time points are calculated. This allows the rate of change parameter to be established based on the local changes at adjacent time points rather than just taking the start and end difference, thus better reflecting the intensity of short-term fluctuations on the state of the hydrological and environmental environment. For example, if the water hardness rises from 250 mg / L to 270 mg / L and then falls back to 260 mg / L within four consecutive hours, the numerical changes between adjacent time points are 20, 10, and 10, respectively. If the groundwater level drops from 3.2 meters to 3.35 meters within two adjacent hours, the numerical change is 0.15 meters. If the turbidity rises from 1.2 to 3.8, the numerical change is 2.6. By calculating the numerical changes for each pair of adjacent time points, the subsequent cumulative changes can simultaneously reflect both steady drift and frequent fluctuation patterns, providing a more sensitive ecological input for subsequent coupling with social behavior representation parameters.

[0041] The absolute values ​​of numerical changes between different time points are taken and accumulated within a preset time interval to obtain the cumulative changes of various hydrological and environmental indicators. This quantifies the total disturbance intensity of the indicators within the preset time interval, avoiding the underestimation of the degree of change caused by the mutual cancellation of increases and decreases. For example, if water hardness undergoes ten adjacent changes within the preset time interval, the numerical change sequence is 20, 10, 10, 5, 15, 10, 20, 10, 5, 10. Taking the absolute values ​​and accumulating them, the cumulative change is 115. The numerical change sequence of turbidity is 2.6, 1.1, 0.7, 2.2, and the cumulative change is 6.6. The numerical change sequence of groundwater level is 0.15, 0.08, 0.12, and the cumulative change is 0.35. The cumulative changes obtained by taking the absolute values ​​and accumulating them can simultaneously represent the contributions of both frequent small fluctuations and a few large sudden changes, making the change rate parameters closer to the true disturbance level of the hydrological and environmental state.

[0042] The cumulative changes are normalized to the length of a preset time interval to obtain the rate of change parameters for each hydrological and environmental indicator. These rate of change parameters are then compared with the rate of change of the corresponding indicators within a historical baseline time interval to reflect the magnitude and trend of change in the hydrological and environmental state relative to the historical baseline state. For example, if the preset time interval is seven days, the time length is 168 hours. If the cumulative change in water hardness is 115, the rate of change parameter is 0.684 per hour; if the cumulative change in turbidity is 6.6, the rate of change parameter is 0.039 per hour; and if the cumulative change in groundwater level is 0.35, the rate of change parameter is 0.0021 per hour. The rate of change parameter within a seven-day window of the same season within the historical baseline time interval is then used as a reference. For example, if the rate of change in water hardness within the historical baseline time interval is 0.22 per hour, the current rate of change parameter is approximately 3.1 times that of the historical baseline, indicating a significantly increased magnitude and a more dramatic trend. This provides a key input reflecting the accelerated disturbance characteristics for the subsequent construction of a social and ecological coupling pressure index.

[0043] In one embodiment, the social behavior data includes online information interaction data related to the water environment, consumption data corresponding to residents' water avoidance behavior, and formal social appeal text data related to the water environment. The logic for generating social behavior representation parameters is as follows: based on a preset time interval with the same rate of change parameter, multiple statistical periods are divided in chronological order; within each statistical period, the number of negative emotional information and the total number of information are counted, and the ratio of the number of negative emotional information to the total number of information is used as the online information emotional intensity value for that statistical period; within each statistical period, the change ratio of water avoidance-related consumption amount relative to the corresponding consumption amount within the historical benchmark time interval is calculated, and the change ratio is used as the consumption abnormal change value for that statistical period; within each statistical period, the number of texts containing strong appeal expression features is counted, and the ratio of the number of texts containing strong appeal expression to the total number of appeal texts is used as the appeal expression intensity value for that statistical period; the online information emotional intensity value, the consumption abnormal change value, and the appeal expression intensity value are linearly mapped within the same numerical interval; within each statistical period, the mapped online information emotional intensity value, the consumption abnormal change value, and the appeal expression intensity value are weighted and summed to obtain the social behavior representation parameters. Based on a preset time interval with the same rate of change parameter, multiple statistical periods are divided in chronological order to ensure that the statistical granularity of social behavior data is consistent with the preset time interval of water and environmental indicators and can be aligned in the time dimension. For example, the preset time interval is the past seven days and the uniform time interval is one hour. To balance response speed and noise suppression, the seven days are divided into twenty-eight statistical periods, each of which is six hours long. Data on network information interaction related to the water environment, consumption data corresponding to residents' water avoidance behavior, and formal social demand text data related to the water environment are collected according to the statistical period. This ensures that the three types of social behavior data within the same statistical period can form a set of synchronous characteristics, thereby providing a consistent time boundary for subsequent ratio and proportion calculations in each statistical period.

[0044] Within each statistical period, the number of negative sentiment messages and the total number of messages are counted separately. The ratio of the number of negative sentiment messages to the total number of messages is used as the online sentiment intensity value for that statistical period. Simultaneously, within each statistical period, the change ratio of water avoidance-related consumption amount relative to the corresponding consumption amount in the historical baseline time interval is calculated, and this change ratio is used as the consumption anomaly value for that statistical period. This ensures that both the sentiment intensity of public opinion expression and the degree of avoidance in residents' behavior are reflected within the same statistical period. For example, if 800 pieces of online information interaction data related to the water environment are captured in a certain statistical period, and 240 of them are negative sentiment messages, then the online sentiment intensity value is 0.3. If, within the same statistical period, the total consumption amount for bottled water and household water purification equipment corresponding to residents' water avoidance behavior is 120,000 yuan, while the average consumption amount for the corresponding statistical period in the historical baseline time interval is 80,000 yuan, then the consumption anomaly value is 0.5. By simultaneously obtaining the online sentiment intensity value and the consumption anomaly value, sensitivity at the expression level and avoidance at the behavioral level can be characterized in parallel within the same time window, avoiding bias from a single source.

[0045] Within each statistical period, the number of texts containing strong appeal characteristics is counted. The ratio of the number of texts with strong appeal characteristics to the total number of appeal texts is used as the appeal intensity value for that statistical period. After obtaining the values ​​of online information sentiment intensity, abnormal consumption changes, and appeal intensity, these three values ​​are linearly mapped within the same numerical range, allowing them to be directly synthesized in terms of dimensions and scope. For example, in a certain statistical period, there are 120 formal social appeal texts related to the water environment, of which 36 contain strong appeal characteristics. The intensity value is 0.3. Since the abnormal consumption change value may be greater than 1, such as 0.5 or 1.2, to ensure the comparability of the results after linear mapping within the same numerical range, the intensity values ​​of online information sentiment, abnormal consumption change, and demand expression intensity can be mapped to the range of 0 to 1 respectively. For example, the abnormal consumption change value can be mapped proportionally to a preset upper limit of 2 to obtain 0.25, while the online information sentiment intensity value of 0.3 and the demand expression intensity value of 0.3 can be kept mapped to 0.3, thus providing a unified input for subsequent weighted summation. The weights are set based on the sensitivity of the response between the online information sentiment intensity value, abnormal consumption change value, and demand expression intensity value and the social and ecological coupling pressure index within a historical time interval. The relative contributions of the three types of social behavior data in reflecting the social system's tolerance level to changes in the hydrological and environmental environment are proportionally allocated, thereby determining their respective weights.

[0046] Within each statistical period, the mapped values ​​of online information emotional intensity, abnormal consumption changes, and the intensity of demand expression are weighted and summed to obtain a social behavior representation parameter. This parameter allows the social behavior representation parameter to reflect the social system's tolerance level to changes in the hydrological and environmental environment as a single value and facilitates coupling calculation with the rate of change parameter within the same preset time interval. For example, if the weights of the mapped values ​​of online information emotional intensity, abnormal consumption changes, and the intensity of demand expression are set to 0.4, 0.3, and 0.3, respectively, and the mapping results for the three values ​​in a certain statistical period are 0.3, 0.25, and 0.3, then the social behavior representation parameter is 0.295. In another statistical period, if a sudden concentrated complaint causes the intensity of demand expression to be mapped to 0.6 and the abnormal consumption change value to be mapped to 0.4, then the social behavior representation parameter rises to 0.44. This directly reflects the increase in the social tolerance level over time and provides a continuously trackable social input consistent with the preset time interval for the subsequent calculation of the social and ecological coupling pressure index.

[0047] In one embodiment, the calculation logic of the social-ecological coupling pressure index is as follows: Within the same time interval, the change rate parameters corresponding to multiple hydrological and environmental indicators after correlation review are obtained, and social behavior representation parameters are also obtained; linear mapping processing is performed on each change rate parameter within the same numerical interval to obtain standardized change rate parameters; based on the standardized change rate parameters, the difference between each standardized change rate parameter and the average value of the standardized change rate parameters is calculated, and the absolute value of the difference is accumulated to obtain a structural dispersion value used to characterize the degree of dispersion of hydrological and environmental changes among different indicators; saturated modulation calculation is performed on the structural dispersion value according to the social behavior representation parameters, so that the social behavior representation parameters participate in the calculation as a constraint factor of the social system's carrying capacity on the ecological change structure, thereby obtaining the social-ecological coupling pressure within the time interval. The index; saturated modulation operation refers to: mapping social behavior representation parameters to a preset social carrying capacity numerical range to obtain the corresponding social carrying capacity mapping value; determining the saturation control parameter used to limit the participation of structural dispersion values ​​in the calculation range according to a preset ratio conversion rule based on the position of the social carrying capacity mapping value in the social carrying capacity numerical range; comparing the structural dispersion value with the saturation control parameter; when the structural dispersion value is less than or equal to the saturation control parameter, keeping the structural dispersion value unchanged and using it as the social and ecological coupling pressure index; when the structural dispersion value is greater than the saturation control parameter, calculating the excess value between the structural dispersion value and the saturation control parameter, multiplying the excess value by a compression ratio coefficient less than one, and adding the product result to the saturation control parameter to obtain the compressed structural dispersion value, which is used as the social and ecological coupling pressure index.

[0048] Within the same time interval, the rate of change parameters corresponding to multiple hydrological and environmental indicators after correlation review are obtained, along with social behavior representation parameters, ensuring that ecological inputs and social inputs are completely consistent at the time boundary and can be directly coupled. For example, taking the past seven days within the same time interval, after correlation review, water hardness, conductivity, turbidity, and nitrate nitrogen are selected as multiple hydrological and environmental indicators. The corresponding rate of change parameters can be 0.684 per hour, 0.412 per hour, 0.039 per hour, and 0.018 per hour, respectively. At the same time, within the same time interval, a sequence of social behavior representation parameters is obtained according to the statistical period, and a representative value corresponding to that time interval is taken. For example, the social behavior representation parameter is 0.44. This ensures that subsequent linear mapping processing and structurally dispersed numerical calculations are based on synchronous data within the same time interval, preventing coupling errors caused by time mismatch.

[0049] By performing linear mapping on each rate of change parameter within the same numerical range, standardized rate of change parameters are obtained. This eliminates the differences in dimensions and numerical scales among different hydrological and environmental indicators, ensuring that the structurally dispersed values ​​reflect the structural changes among indicators rather than dimensional differences. For example, the rate of change parameters are mapped to zero to one according to a preset upper limit: water hardness 0.684 is mapped to 0.684, conductivity 0.412 is mapped to 0.412, turbidity 0.039 is mapped to 0.039, and nitrate nitrogen 0.018 is mapped to 0.018. After obtaining the set of standardized rate of change parameters, the average value of the standardized rate of change parameters is calculated, for example, the average value is 0.28825. This provides a unified benchmark for the next step of calculating the difference between each standardized rate of change parameter and the average value of the standardized rate of change parameters.

[0050] Based on standardized rate of change parameters, the difference between each standardized rate of change parameter and its average value is calculated. The absolute values ​​of these differences are then summed to obtain a structural dispersion value that characterizes the degree of dispersion of changes in the hydrological and environmental environment among different indicators. This structural dispersion value can depict whether ecological changes exhibit a single indicator dominating or multiple indicators causing parallel disturbances. For example, the differences between the standardized rate of change parameters and their average values ​​are 0.39575, 0.12375, -0.24925, and -0.27025, respectively. The absolute values ​​of these differences are 0.39575, 0.12375, 0.24925, and 0.27025, respectively. Summarizing these differences yields a structural dispersion value of 1.039. A larger structural dispersion value indicates a more significant difference in the intensity of change among different indicators, and a more unbalanced ecological change structure. This provides subsequent saturated modulation calculations with an ecological change structure input that needs to be constrained by social carrying capacity.

[0051] Based on the social behavior representation parameters, a saturation-modulated calculation is performed on the structurally dispersed numerical values. These parameters are then used as constraint factors on the ecological change structure within the social system's carrying capacity, resulting in a social-ecological coupling pressure index for that time interval. Specifically, the social behavior representation parameters are mapped to a preset social carrying capacity numerical range to obtain a social carrying capacity mapping value. For example, mapping zero to one to the social carrying capacity numerical range of zero to one yields a social carrying capacity mapping value of 0.44. Then, based on the position of the social carrying capacity mapping value within the social carrying capacity numerical range, a saturation control parameter is determined according to a preset proportional conversion rule. For example, setting the saturation control parameter to 1.2 minus the social carrying capacity mapping value multiplied by 0.5 yields the saturation control... The parameter is 0.98. Then, the structural dispersion value is compared with the saturation control parameter. Since the structural dispersion value of 1.03 is greater than the saturation control parameter of 0.98, the excess value between the structural dispersion value and the saturation control parameter is calculated to be 0.05. The excess value is multiplied by a compression ratio coefficient less than one, such as 0.2, to obtain 0.01. The product result is then added to the saturation control parameter to obtain the compressed structural dispersion value of 0.99. Finally, the compressed structural dispersion value is used as the social and ecological coupling pressure index. This introduces carrying capacity constraints and inhibits the unbounded growth of the index when the degree of structural dispersion increases due to ecological changes, so that the social and ecological coupling pressure index exhibits interpretable saturation response characteristics under different social carrying capacity levels.

[0052] In one embodiment, the logic for determining the risk level of hydrological and environmental damage is as follows: obtaining the social and ecological coupling pressure index calculated over multiple historical time intervals; sorting the social and ecological coupling pressure indices over multiple historical time intervals according to their numerical values ​​to form a pressure index sequence; determining the values ​​corresponding to multiple quantile positions in the pressure index sequence according to a preset quantile ratio, and defining the corresponding values ​​as multi-level pressure thresholds; comparing the social and ecological coupling pressure index calculated in the current time interval with the multi-level pressure thresholds; and determining the corresponding risk level of hydrological and environmental damage based on the threshold interval in which the social and ecological coupling pressure index is located.

[0053] The social and ecological coupling pressure index calculated over multiple historical time intervals is obtained, ensuring that the setting of multi-level pressure thresholds is based on the actual fluctuation range of the past while taking into account seasonality and engineering disturbance differences. For example, the historical time intervals are selected from the past three years, with each year divided into a continuous seven-day window according to a uniform time scale, resulting in a total of 156 historical time intervals. Each historical time interval corresponds to a social and ecological coupling pressure index, forming a historical sample set, which can include dry seasons, wet seasons, concentrated extraction periods, and rainfall infiltration periods, to ensure that the historical sample set covers common changes in the hydrological and environmental conditions. At the same time, the time stamp and monitoring point markers of each historical time interval are retained during the acquisition stage to facilitate subsequent retrospective interpretation of the threshold results.

[0054] By sorting the social and ecological coupling pressure indices across multiple historical time intervals according to their numerical values, a pressure index sequence is formed. This transforms the discrete historical sample set into an ordered sequence that can be directly located for quantiles. For example, after sorting the 156 social and ecological coupling pressure indices from smallest to largest, the first ten values ​​of the pressure index sequence might be 0.11, 0.12, 0.13, 0.135, 0.14, 0.145, 0.15, 0.152, 0.155, and 0.159, while the last ten values ​​might be 0.92, 0.95, 0.99, 1.01, 1.04, 1.06, 1.08, 1.11, 1.13, and 1.16. By forming a pressure index sequence, the concentrated areas and tail areas of historical pressure levels can be intuitively reflected, providing a data basis for the subsequent selection of preset quantile ratios.

[0055] According to the preset quantile ratio, multiple quantile positions are determined in the pressure index sequence, and the corresponding values ​​are determined as multi-level pressure thresholds. This makes the pressure scale self-consistent and transferable for different regions and monitoring points. For example, if the preset quantile ratio is 50%, 75%, 90%, and 95%, then the values ​​corresponding to the 78th, 117th, 140th, and 148th positions in the 156 sorted values ​​are 0.38, 0.55, 0.82, and 0.96, respectively. Then, 0.38, 0.55, 0.82, and 0.96 are determined as multi-level pressure thresholds, and the interval between adjacent multi-level pressure thresholds is used as the risk classification boundary. This makes the multi-level pressure thresholds reflect the median level of historical normal fluctuations and form a more sensitive classification boundary for high pressure situations at the tail.

[0056] It should be noted that when determining multi-level pressure thresholds, the social and ecological coupling pressure indices used to construct the pressure index sequence should be derived from multiple historical time intervals covering different stages of hydrological and environmental ecological conditions, so as to ensure that the pressure index sequence has sufficient span and hierarchy in numerical distribution.

[0057] In one implementation, the historical time interval corresponding to the pressure index sequence should at least include periods when the hydrogeological and environmental environment is in a relatively stable state, a state of significant change, and a state of high degree of change, so that the pressure index sequence can reflect the continuous distribution characteristics from low pressure to high pressure. When the social and ecological coupled pressure index calculated within the historical time interval is concentrated in the high or low value range, and the value distribution span is insufficient to distinguish different pressure levels, it is not advisable to directly use the quantile ratio method to determine the multi-level pressure threshold. Instead, the historical time interval should be extended, other representative time periods should be introduced, or a new historical benchmark range should be selected to ensure that the pressure index sequence has the distribution conditions for quantile analysis. Through the above limitations, the multi-level pressure threshold determined according to the preset quantile ratio can truly reflect the relative position of the hydrogeological and environmental environment under different pressure stages, improving the rationality and applicability of the determination of the risk level of hydrogeological and environmental damage.

[0058] The social and ecological coupling pressure index calculated within the current time interval is compared with multi-level pressure thresholds. Based on the threshold range in which the social and ecological coupling pressure index falls, the corresponding risk level of hydrological and environmental damage is determined. This ensures that the risk level output has clear and executable criteria and can be directly linked to subsequent hydrological and environmental regulation analysis results. For example, if the social and ecological coupling pressure index calculated within the current time interval is 0.61, comparing 0.61 with 0.38, 0.55, 0.82, and 0.96, and finding that 0.61 falls between 0.55 and 0.82, the risk level of hydrological and environmental damage is determined to be the corresponding medium-to-high pressure range. Similarly, if the social and ecological coupling pressure index calculated within the current time interval is 0.97, and 0.97 is greater than 0.96, the risk level of hydrological and environmental damage is determined to be the corresponding highest pressure range. This allows for relative positioning of the current pressure state based on historical pressure distribution without relying on fixed absolute standards, enhancing the interpretability and regional adaptability of risk level determination.

[0059] The analysis results of water conservancy and environmental protection regulation corresponding to the output of the risk level of water conservancy and environmental protection damage refer to: after completing the calculation of the social and ecological coupling pressure index and determining the risk level of water conservancy and environmental protection damage, providing a combination of regulation recommendations, key points of impact assessment, and a priority disposal list that match the risk level, so that management actions shift from a single physical threshold response to a graded response that takes into account both the ecological change structure and the social carrying capacity. The regulation analysis results may include recommendations for adjusting the intensity of groundwater extraction, recommendations for recharge or replenishment, recommendations for improving the water supply experience, recommendations for information release frequency, recommendations for key point verification and source tracing, recommendations for community communication and demand response strategies, and recommendations for subsequent time intervals. The anticipated judgment of changes in the ecological coupling pressure index, for example, when the risk level of water conservancy and environmental damage is in the medium range, the control analysis results can provide a combination of recommendations: reducing the pumping volume of specific well groups by 10% to 20% within a preset time interval, simultaneously initiating daily public updates of water hardness and turbidity, and setting up temporary water intake points in sensitive communities; when the risk level of water conservancy and environmental damage is in the high range, the control analysis results can provide a combination of recommendations: prioritizing the reduction of pumping volume at high-impact well locations within the next 48 hours, simultaneously initiating the allocation of backup water sources, and conducting intensive monitoring and public disclosure of key indicators for three consecutive days, thereby transforming the risk level into an actionable control action path. Specific implementation methods will be explained below: The first specific implementation method is the output method of the hydrological and environmental ecological environment regulation and control analysis results corresponding to the low-risk level: After the social and ecological coupling pressure index calculated within a preset time interval falls into a low threshold range, thus determining the hydrological and environmental ecological environment damage risk level as low-risk, the output of the hydrological and environmental ecological environment regulation and control analysis results is a recommended combination primarily focused on maintaining routine operation and enhancing the quality of continuous recording. Specifically, this includes maintaining the acquisition frequency of existing water environment monitoring equipment and remote sensing monitoring equipment unchanged, verifying the consistency of data types of hydrological and environmental ecological environment indicators after correlation review, and continuously updating historical benchmark data windows to avoid benchmark drift. The system also provides contingency plans and triggering conditions for potential local fluctuations. For example, if the social and ecological coupling pressure index is 0.28 and lower than the multi-level pressure threshold of 0.38 in the current time interval, the output analysis results of the hydrological and environmental regulation can be to continue recording groundwater level, water hardness, conductivity, turbidity, and nitrate nitrogen at a uniform one-hour time interval, maintain the pumping volume of the well group unchanged, and focus on whether the rate of change of water hardness parameter is higher than twice the historical benchmark for two consecutive days in the next time interval. If the condition is met, the system will enter a higher-risk level review process, thereby completing early steady-state management without increasing social disturbances.

[0060] The second specific implementation method is the output method of the hydro-environmental regulation and control analysis results corresponding to the medium-risk level: When the social and ecological coupling pressure index is in the middle threshold range and the hydro-environmental damage risk level is determined to be medium risk, the output of the hydro-environmental regulation and control analysis results is a suggested combination of ecological side suppression of disturbance and social side reduction of experiential impact. Specifically, this includes taking encrypted verification for key indicators after correlation review, taking zoned load reduction for well groups with sudden increases in change rate parameters, and arranging the release of explanatory information to the public in conjunction with the upward trend of social behavior characterization parameters; for example, the social and ecological coupling pressure index in the current time interval is 0.61, which is between 0.55 and... Between 0.82 and 0.44, the social behavior representation parameters rose from 0.295 to 0.44 over multiple statistical periods. The control analysis results can be output as priority measures to address the dominant indicators that cause the increase in structural dispersion values. For example, priority can be given to adjusting the operating time of water wells that cause a significant increase in the rate of change of water hardness and conductivity parameters, reducing the pumping volume by 15% in the next preset time interval, and simultaneously issuing daily reports on the trends of water hardness, turbidity, and nitrate nitrogen in the community. At the same time, temporary water supply points or supplementary water purification facilities can be set up in areas where water avoidance behavior is obvious, so as to transform the transmission of ecological pressure into manageable service measures, thereby reducing the probability of further deterioration of social behavior data.

[0061] The third specific implementation method is the output method of the hydro-environmental regulation and control analysis results corresponding to high-risk levels: When the social and ecological coupling pressure index is higher than the high threshold and the risk level of hydro-environmental damage is determined to be high risk, the output of the hydro-environmental regulation and control analysis results is a combination of strong intervention recommendations prioritizing the rapid stabilization of social tolerance levels and the control of ecological structural imbalances. Specifically, this includes immediately initiating high-frequency monitoring and verification of key indicators, taking strong constraint measures on the engineering sources corresponding to high-contribution indicators, and providing transparent explanations and alternative solutions in advance for factors that may trigger public opinion and escalate demands. For example, the social and ecological coupling pressure index in the current time period is 0.97 and higher than 0.96, with structural dispersion values ​​remaining at a high level. Furthermore, the social tolerance level is relatively low after mapping the social behavior representation parameters. The control analysis results can be output as follows: within the next 48 hours, implement graded limited extraction for well groups that cause rapid changes in water hardness and conductivity, reduce the pumping volume by 30% and simultaneously arrange alternative water sources. At the same time, release the monitoring results to the public every six hours and explain the role of saturation control parameters and compression ratio coefficients so that the public can understand the suppression strategy adopted after the index enters the saturation modulation range. In addition, arrange face-to-face communication and rapid response windows for areas where the proportion of strong demands in formal social demand text data related to the water environment increases, so as to reduce the further decline in social tolerance level while controlling the ecological pressure structure, thereby avoiding the risk level from continuing to rise.

[0062] The above algorithms or formulas are all dimensionless and numerical calculations, and the results are obtained by software simulation based on a large amount of collected data to obtain the most recent real-world results. The preset parameters are set by those skilled in the art according to the actual situation.

[0063] It should be understood that, in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0064] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0065] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0066] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for analyzing damage to the hydrological and environmental ecosystems, characterized in that, Includes the following steps: By using water environment monitoring equipment and remote sensing monitoring equipment set up in the target hydrogeological and environmental area, physical and chemical monitoring data of the hydrogeological and environmental environment are collected and continuously recorded according to a uniform time scale. Based on the physical and chemical monitoring data of hydrogeological environment, a correlation review is conducted. Within a preset time interval, the rate of change parameters corresponding to each hydrogeological environment index in the correlation review results are calculated. The rate of change parameters are used to reflect the magnitude and trend of change of the state of hydrogeological environment relative to the historical baseline state. Within the area corresponding to the target hydrogeological and environmental zone, collect social behavior data reflecting the social system's response to changes in the hydrogeological and environmental environment. We conduct emotion intensity analysis, abnormal change analysis, and demand expression intensity analysis on social behavior data to form social behavior characterization parameters that characterize the social system's tolerance level to changes in the hydrological and environmental environment. Based on the rate of change parameter and social behavior characterization parameter, a social-ecological coupling pressure index is constructed. The social-ecological coupling pressure index is used to reflect the comprehensive pressure state between the social system and the hydro-environmental ecological environment. The social and ecological coupling pressure index is compared with a pre-set multi-level pressure threshold. The risk level of hydro-environmental damage is determined based on the comparison results, and the corresponding hydro-environmental regulation and control analysis results are output according to the risk level of hydro-environmental damage.

2. The method for analyzing damage to the hydrological and environmental environment according to claim 1, characterized in that, Continuous recording according to a uniform time scale refers to: Determine a uniform time interval for recording physical and chemical monitoring data of water conservancy and environmental systems; The collected physical and chemical monitoring data of the hydrogeological environment are periodically collected at uniform time intervals. The periodically collected data is stored continuously in chronological order, so that the various hydrological, environmental, and ecological physical and chemical monitoring data form a continuous time series under the same time reference.

3. The method for analyzing damage to the hydrological and environmental environment according to claim 2, characterized in that, Conducting a relevance review refers to: Based on continuously recorded hydrogeological and environmental physicochemical monitoring data, historical baseline data within the corresponding time range are obtained. Based on the variation range between various hydrological and environmental indicators and historical baseline data, the correlation coefficient between various hydrological and environmental indicators and the overall trend of hydrological and environmental changes is calculated. The various hydrological and environmental indicators are ranked according to the magnitude of their correlation coefficients. Hydrological and environmental indicators whose correlation coefficient ranking is within the dynamic range in the ranking results are selected as the data type of hydrological and environmental indicators after correlation review.

4. The method for analyzing damage to the hydrological and environmental environment according to claim 3, characterized in that, The logic for determining the dynamic quantity is as follows: Based on the correlation coefficients corresponding to various hydrological and environmental indicators, the mean of the correlation coefficients is calculated; each correlation coefficient is compared with the mean to determine the correlation coefficient range in which the deviation from the mean exceeds a preset proportion; and the dynamic number of hydrological and environmental indicators used for indicator screening is determined based on the number of hydrological and environmental indicators falling within the correlation coefficient range.

5. The method for analyzing damage to the hydrological and environmental environment according to claim 4, characterized in that, The method for obtaining the rate of change parameter is as follows: Within a preset time interval, obtain the corresponding index values ​​of various hydrological and environmental indicators at multiple consecutive time points after the correlation review; Based on the index values ​​at adjacent time points, calculate the changes in the values ​​of various hydrological and environmental indicators between adjacent time points. The absolute values ​​of the numerical changes between each time point are taken and accumulated within a preset time interval to obtain the cumulative changes of each hydrological and environmental index. The cumulative change was normalized to the length of the preset time interval to obtain the change rate parameters corresponding to each hydrological and environmental ecological index.

6. The method for analyzing damage to the hydrological and environmental environment according to claim 5, characterized in that, Social behavior data includes online information interaction data related to the water environment, consumption data corresponding to residents' water avoidance behaviors, and textual data of formal social demands related to the water environment.

7. The method for analyzing damage to the hydrological and environmental environment according to claim 6, characterized in that, The logic for generating social behavior representation parameters is as follows: Based on a preset time interval with the same rate of change parameter, multiple statistical periods are divided in chronological order. The number of negative emotional messages and the total number of messages are counted separately in each statistical period, and the ratio of the number of negative emotional messages to the total number of messages is used as the emotional intensity value of the network information in that statistical period. Within each statistical period, calculate the percentage change in water avoidance consumption relative to the corresponding consumption amount within the historical baseline time interval, and use the percentage change as the abnormal consumption change value for that statistical period. The number of texts containing strong appeals is counted within each statistical period, and the ratio of the number of texts with strong appeals to the total number of appeal texts is used as the appeal intensity value for that statistical period. Linear mapping is performed on the numerical values ​​of online information sentiment intensity, abnormal consumption changes, and the intensity of demand expression within the same numerical range. Within each statistical period, the weighted sum of the mapped values ​​of online information sentiment intensity, abnormal consumption changes, and demand expression intensity yields the social behavior representation parameters.

8. The method for analyzing damage to the hydrological and environmental environment according to claim 7, characterized in that, The calculation logic for the social-ecological coupling pressure index is as follows: Within the same time interval, obtain the change rate parameters corresponding to multiple hydrological and environmental indicators after correlation review, and obtain social behavior representation parameters; By performing linear mapping on each rate of change parameter within the same numerical range, standardized rate of change parameters are obtained. Based on the standardized rate of change parameters, the difference between each standardized rate of change parameter and the average value of the standardized rate of change parameters is calculated, and the absolute value of the difference is accumulated to obtain the structural dispersion value used to characterize the degree of dispersion of changes in the hydrological and environmental environment among different indicators. By performing saturated modulation calculations on the structural dispersion values ​​based on social behavior representation parameters, the social and ecological coupling pressure index within this time interval is obtained.

9. A method for analyzing damage to the hydrological and environmental environment according to claim 8, characterized in that, Saturation modulation operation refers to: By mapping the social behavior representation parameters to a preset range of social tolerance values, the corresponding social tolerance mapping values ​​are obtained. Based on the position of the social carrying capacity mapping value within the social carrying capacity numerical range, the saturation control parameters used to limit the calculation range of dispersed structural values ​​are determined according to the preset proportional conversion rules. The structural dispersion value is compared with the saturation control parameter. When the structural dispersion value is less than or equal to the saturation control parameter, the structural dispersion value is kept unchanged and used as the social and ecological coupling pressure index. When the structural dispersion value is greater than the saturation control parameter, the excess value between the structural dispersion value and the saturation control parameter is calculated. The excess value is multiplied by a compression ratio coefficient less than one, and the product is added to the saturation control parameter to obtain the compressed structural dispersion value, which is used as the social and ecological coupling pressure index.

10. A method for analyzing damage to the hydrological and environmental environment according to claim 9, characterized in that, The logic for determining the risk level of damage to the hydrological and environmental systems is as follows: Obtain the social and ecological coupling pressure index calculated over multiple historical time intervals; The social and ecological coupling pressure indices within multiple historical time intervals are sorted according to their numerical values ​​to form a pressure index sequence; According to the preset quantile ratio, the values ​​corresponding to multiple quantile positions in the pressure index sequence are determined, and the corresponding values ​​are determined as multi-level pressure thresholds. Compare the social and ecological coupling pressure index calculated within the current time interval with the multi-level pressure threshold. Based on the threshold range of the social and ecological coupling pressure index, the corresponding risk level of water conservancy and environmental damage is determined.

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