Groundwater source comprehensive environmental risk assessment method based on risk control mechanism effectiveness

Abstract

The application discloses a groundwater source comprehensive environmental risk assessment method based on risk control mechanism effectiveness, relates to the field of environmental science and engineering technology, and comprises the following steps: based on the regional comprehensive environmental risk assessment demand, reconstructing the minute-level time sequence by using the global emission record, extracting the synchronous fragment of the energy release peak and the chemical reaction peak, and generating the time peak index list; according to the time peak index list, fusing the wind field data, the flow field data and the thermal field trajectory information, and constructing the multi-dimensional interference spectrum of the peak superposition region. Through the construction of the time peak index list and the multi-dimensional interference spectrum, the application realizes the dynamic perception and early identification of the regional environmental risk, accurately reveals the coupling characteristics of the energy and the chemical process, and through the frequency division breathing phase inversion regulation, the pulse bypass discharge and the cooling infiltration cooperation, the energy release process can keep dynamic balance, the risk resonance amplification can be prevented, and the regional protection and control efficiency can be improved.

Description

Technical Field

[0001] This invention relates to the fields of environmental science and engineering technology, specifically to a comprehensive environmental risk assessment method for groundwater source areas based on the effectiveness of risk control mechanisms. Background Technology

[0002] Regional integrated environmental risk assessment, which incorporates the effectiveness of risk control mechanisms, is a method that deeply integrates traditional pollution source-media-receptor chain analysis with big data-driven comprehensive processing mechanisms in the process of regional environmental risk analysis. This method not only systematically assesses the distribution of pollution sources, environmental media transmission paths, ecologically sensitive areas, and population exposure characteristics within the region, but also introduces big data processing technology to aggregate, clean, and dynamically model multi-source heterogeneous data in real time, giving the risk assessment higher timeliness and spatial resolution. Based on this, the actual effectiveness of various risk control mechanisms is incorporated into the assessment system. By quantitatively measuring the interception efficiency of pollution prevention and control facilities, the response accuracy of monitoring and early warning systems, the execution timeliness of emergency response measures, and the degree of implementation of management systems, the biases of traditional models that are based solely on theoretical assumptions are corrected. This method constructs a regional integrated risk index through multi-dimensional coupling of the probability of risk source occurrence, the interception efficiency of control mechanisms, emergency response time, secondary diffusion impact, and big data analysis results. This ensures that the assessment results reflect both the spatial pattern and intensity of potential environmental hazards and the reliability and protective contribution of prevention and control measures under actual operational conditions, providing a more accurate scientific basis for regional environmental safety decision-making and the optimal allocation of risk prevention and control resources.

[0003] Existing technologies have the following shortcomings: In existing technologies, regional integrated environmental risk assessments are typically based on the assumption of independent emissions from a single pollution source, statically or averaging the temporal distribution and energy release processes of pollution events, neglecting the dynamic coupling effect of multi-source emissions under overlapping temporal states. However, in complex industrial clusters, chemical industrial parks, or multi-media interaction areas, different pollution sources may simultaneously experience overlapping energy release or chemical reaction peaks within similar time periods. When the energy release rhythms, reaction rates, or diffusion fronts of multiple emission processes superimpose in space and time, a transient resonance amplification effect can be triggered in a local area, causing nonlinear jumps in the energy field, concentration field, or thermal field. This can breach existing protective structures or risk control thresholds, leading to environmental damage exceeding design expectations.

[0004] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The purpose of this invention is to provide a comprehensive environmental risk assessment method for groundwater source areas based on the effectiveness of risk control mechanisms, so as to solve the problems in the background art mentioned above.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a comprehensive environmental risk assessment method for groundwater source areas based on the effectiveness of risk control mechanisms, comprising the following steps: Based on the needs of regional comprehensive environmental risk assessment, minute-level time series are reconstructed using emissions records across the entire region, and synchronous segments of energy release peaks and chemical reaction peaks are extracted to generate a time peak index list. Based on the time peak index list, wind field data, flow field data and thermal field trajectory information are integrated to construct a multidimensional interferometric spectrum of the peak overlap region, which is used to reflect the spatiotemporal superposition characteristics of pollution source emission peaks; Based on the multidimensional interferogram, concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals are extracted to generate a set of risk transition anchor points, which are used to identify the spatiotemporal locations where nonlinear risk amplification occurs. Based on the set of risk transition anchor points, an early response perception chain is deployed to connect emission control valves and isolation devices, generating a continuous control traction command flow to drive real-time monitoring and dynamic linkage control of risk precursors. Based on the continuous control traction command flow to execute frequency-division breathing phase refraction regulation, a coordinated process of pulsed bypass discharge and cooling infiltration is carried out to form a dynamic balance closure of the energy release path, thereby reducing the regional environmental risks caused by the time-series overlap of multiple emission sources.

[0007] Preferably, the steps for reconstructing minute-level time series using full-domain emission records and generating a list of time peak indexes are as follows: Based on the needs of regional comprehensive environmental risk assessment, the raw data of emission records across the entire region are structurally integrated, and emission records from different sources, media and intensities are integrated according to a unified time benchmark to establish a minute-level continuous recording framework. After completing the minute-level time series reconstruction, the energy release-related time segments and the corresponding time segments of the chemical reaction process are extracted and matched synchronously to ensure that the energy release peak and the chemical reaction peak are at corresponding positions on the same time axis. Based on the synchronous matching results of energy release peaks and chemical reaction peaks, key time segments with high temporal overlap and forming energy resonance or reaction superposition are screened and a candidate peak segment set is formed. The candidate peak fragment set is integrated and sorted to generate a time peak index list, so that the synchronous fragments of energy release peaks and chemical reaction peaks have a unified time identifier and spatial location.

[0008] The preferred steps for constructing a multidimensional interferogram are as follows: Based on the time markers and spatial location information in the time peak index list, wind field data, flow field data and thermal field trajectory information in the corresponding time segments are extracted and a three-dimensional dynamic data framework is established. By spatially coupling wind field, flow field and thermal field information with the emission location and emission characteristics of pollution sources in the time peak index list, a preliminary spatial overlay map of multi-source peak regions is generated. The interaction characteristics of wind field, flow field and thermal field in the overlapping region are analyzed, and a comprehensive superposition map including dynamic interference, thermal interference and material interference is constructed. Based on the comprehensive interference relationship, the spatial distribution of dynamic interference, thermal interference and material interference is integrated to generate a multidimensional interference spectrum of peak superposition region to reflect the spatiotemporal superposition characteristics of pollution source emission peaks.

[0009] Preferably, the multidimensional interferogram of the peak overlap region is constructed with the time peak index list as the core index axis. Through the gradual superposition of the time dimension and the layered projection of the spatial dimension, a three-dimensional spatial structure is formed, so that each overlap region simultaneously has time identification, energy release intensity, concentration superposition level and temperature gradient change trend, which is used to identify regional energy resonance region, concentration convergence region and thermal stress concentration region.

[0010] Preferably, the steps for generating the risk transition anchor point set are as follows: Based on the multidimensional interferogram of the peak superposition region, key areas within the interferometric region where there is material convergence, energy accumulation, or thermal stress concentration are identified and their spatial locations are determined. To characterize risk transition features, signals of concentration abrupt changes, temperature and pressure jumps, and medium interface crossings are extracted from key areas. Establish the temporal and spatial correspondence of the above signals in the multidimensional interferogram and form a signal aggregation region containing cross attributes to determine the risk transition triggering conditions; Based on the spatial distribution and time series relationship of the signal aggregation region, a set of risk transition anchor points is generated to identify the critical position where the risk changes from a latent state to a nonlinear amplification state.

[0011] Preferably, during the generation of the risk transition anchor point set, risk transition nodes within the interference region are screened and classified based on the temporal continuity and spatial superposition intensity of concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals in the multidimensional interferogram, so as to limit the response priority of risk transition anchor points and determine the triggering time for early perception.

[0012] Preferably, the steps for deploying an early response sensing chain and generating a continuous control traction command flow based on a set of risk transition anchor points are as follows: Based on the set of risk transition anchor points, a layout plan for sensing nodes is carried out for the risk distribution pattern in the region. Continuous sensing nodes are set up in the risk concentration area along the energy release direction and the flow medium path to form a response path that is continuous in time and space. Establish a signal correspondence between risk transition anchor points and sensing nodes, so that risk information can be transmitted in time and space along the early response sensing chain and maintain dynamic continuity; Establish a real-time connection between the output signal of the sensing chain and the emission control valves and isolation devices, so that the energy release path and the pollution diffusion path can be intervened synchronously. Based on the time response characteristics of the sensing chain, a continuous control traction command flow is generated to drive the emission control valve and isolation device to respond sequentially and form a dynamic linkage process for risk prevention and control.

[0013] Preferably, the continuous control traction command stream dynamically adjusts the opening degree of the emission control valve and the action sequence of the isolation device based on the time sequence changes of the risk transition anchor point during the generation process, so that the control signal is continuously output in time and transmitted step by step along the risk propagation direction in space, thereby realizing the step-by-step reduction of energy release and the segmented suppression of pollution diffusion, so as to form a spatiotemporal coordinated response mechanism for risk prevention and control.

[0014] Preferably, the steps for performing frequency-division respiratory phase reflection regulation and carrying out the coordinated process of pulsating bypass discharge and cooling infiltration based on continuous control traction command flow are as follows: Using continuous control traction command flow as the regulation input, the energy release path in the region is divided into frequency zones and identified to determine the energy transfer direction and the periodic energy accumulation area; Based on the rhythmic signal of the continuous control traction command flow, respiratory phase refraction regulation is performed, and the energy synchronous superposition is weakened by the alternating regulation of the energy absorption phase and the energy release phase. During the process of performing frequency-division breathing phase refraction regulation, pulsatile bypass discharge is carried out so that the energy output of the main channel and the energy dissipation of the bypass form a phase complementary relationship; Based on the pulsed bypass discharge, a cooling and wetting synergy process is carried out to form a dynamic equilibrium closure of the energy release path, thereby reducing the environmental risks caused by multi-source emissions.

[0015] Preferably, the frequency-division breathing phase reflection regulation and the pulsating bypass release process are carried out simultaneously. The cooling and wetting synergistic process introduces the cooling medium into the energy accumulation zone during the energy absorption phase and covers the energy release surface with the cooling medium during the energy release phase, so that the energy flow maintains rhythmic matching in time and space, thereby forming a continuous slow release and dynamic equilibrium state to maintain the stability of the energy release path.

[0016] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention transforms the identification of regional environmental risks from static monitoring to dynamic perception by constructing a time peak index list, fusing wind, flow, and thermal field data, forming a multidimensional interferometric spectrum, and extracting risk transition anchor points. The temporal and spatial coupling relationship between energy release and chemical reaction processes is precisely characterized, enabling the early detection of energy resonance and thermal anomalies caused by the superposition of multiple emission sources. This makes the risk identification process forward-looking and spatially directional, reducing the uncertainty of sudden risk amplification and providing quantitative evidence for regional protection and emergency response.

[0017] This invention utilizes a continuous control traction command flow to execute frequency-division breathing phase refraction regulation, coordinating pulsed bypass discharge and cooling wetting processes to maintain a balanced and closed energy release path under dynamic conditions. The energy flow rhythm is redistributed, local pressure and heat are released gradually, avoiding the nonlinear amplification effect caused by overlapping multiple energy sources in time. Through dynamic linkage between emission control valves and isolation devices, immediate response to risk precursors is achieved, transforming the environmental control system from passive to proactive regulation, effectively enhancing the overall risk control capability and protective stability of the region. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a flowchart of the regional integrated environmental risk assessment method with effective risk control mechanisms according to the present invention. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] This invention provides, for example Figure 1 The integrated environmental risk assessment method for groundwater source areas based on the effectiveness of risk control mechanisms, as shown, includes the following steps: Based on the needs of regional comprehensive environmental risk assessment, minute-level time series are reconstructed using emissions records across the entire region, and synchronous segments of energy release peaks and chemical reaction peaks are extracted to generate a time peak index list. 1. Energy release peak It refers to the time point / time segment in which the energy release intensity of a pollution source reaches its peak per unit time during the emission process; it is the extreme point of energy release rate and intensity.

[0022] The core manifestation is the short-term concentrated release of physical energy such as heat release rate, fluid kinetic energy, pressure fluctuation, and flow velocity change rate.

[0023] Sources include concentrated energy release processes accompanying industrial emissions, exothermic chemical reactions, fluid impacts, and sudden pressure changes.

[0024] Characteristics: It exhibits a short-duration, high-energy waveform that rises rapidly to a peak and then decays on a minute-level time series.

[0025] 2. Chemical reaction peaks It refers to the time point / time segment when the reaction rate and intensity of a chemical reaction in the emission medium reach their peak, which is the extreme point of the intensity of the chemical reaction.

[0026] Key indicators include: pollutant reaction rate, reactant consumption / product formation rate, and peak value of reaction exothermic intensity.

[0027] Sources: Reactions such as oxidation, reduction, decomposition, and polymerization occur between emitted chemical substances, or they interact with environmental media (water, soil, air).

[0028] Characteristics: It corresponds to the period in the time series where the reaction is most intense and the changes in substance concentration / heat of reaction are the fastest.

[0029] By structurally reconstructing and refining the temporal resolution of regional emission records, synchronous fragment extraction of energy release peaks and chemical reaction peaks is achieved. Based on this, a temporal peak index list is generated for subsequent risk spatiotemporal interferometry analysis. The specific steps are as follows:

[0030] Based on the needs of regional comprehensive environmental risk assessment, raw data from emission records across the entire region are structurally integrated. Emission data from stationary pollution sources, mobile pollution sources, and sporadic emission events are integrated according to a unified time benchmark, ensuring comparability and temporal alignment of emission records from different sources, media, and intensities. A continuous recording framework, measured in minutes, is established by chronologically arranging the emission records by collection time, emission duration, emission medium type, and energy release intensity. During this process, the emission amount, physical state of the emission (e.g., gas, liquid, and solid three-phase distribution), and accompanying energy release characteristics (including heat release rate, reaction exothermic rate, and flow rate change rate) of each emission source are all incorporated into the same time-series structure, providing a unified time benchmark and a complete energy expression dimension for subsequent peak identification.

[0031] After reconstructing the minute-level time series of emissions records across the entire region, the time segments related to energy release and the corresponding time segments of chemical reaction processes were extracted from the reconstructed time series, and the temporal correspondence between the two was synchronously matched. To ensure the accuracy of the matching, when analyzing the energy release curves, the energy change process of each pollution source was time-aligned with its corresponding chemical reaction stage, so that the energy peak and the reaction rate peak were at corresponding positions on the same time axis. In this way, it is possible to identify periods within the region where energy release and chemical reaction intensity may be concentrated within a similar time frame. These periods are typically characterized by short-duration high energy release, high reaction rates, and active material migration, serving as the foundational data segments for subsequent identification of regional risk coupling effects.

[0032] Based on the synchronous matching results of energy release peaks and chemical reaction peaks, the physical and chemical characteristics of the matched segments are further screened and correlated to identify key time segments with high temporal overlap that may form energy resonance or reaction superposition. Specifically, time windows are compared for each minute-level emission record, and the rising edge, peak, and decay segment of the energy release peak are extracted and overlapped with the corresponding time periods of the chemical reaction peak. Time segments with continuous overlap or interleaving trends of the two types of peaks are screened out. For these time segments, combined with the spatial distribution information of the pollution source and the physical properties of the emission medium, risk nodes that may produce local energy concentration, heat accumulation, or reactant convergence are marked. Through this process, a set of candidate peak segments containing temporal, spatial, and energy coupling characteristics can be formed, providing the basic structure for the subsequent generation of a time peak index list.

[0033] After obtaining the candidate peak segment set, the time segments in the set are integrated and sorted according to their temporal order and spatial distribution to generate a time peak index list. This list uses minutes as the smallest time resolution unit, numbering and identifying time segments where energy release peaks and chemical reaction peaks occur synchronously. Each record includes a time identifier, peak duration, peak intensity, degree of peak overlap, and corresponding pollution source number. The time peak index list not only serves as a synchronous mapping table of energy and reaction peaks but also as input for subsequent multidimensional interferometric mapping, enabling subsequent steps to quickly locate the resonance region of energy release and chemical reaction spatially and accurately capture the coupling nodes of multi-source emissions temporally. In this way, the regional integrated environmental risk assessment process transforms from a static description of raw emission data to a refined expression based on dynamic time series, unifying the temporal behavior, energy distribution characteristics, and chemical reaction intensity of multi-source emissions in the temporal dimension. This provides a solid data foundation for subsequent risk transition feature extraction and prevention and control response chain deployment.

[0034] Based on the time peak index list, wind field data, flow field data and thermal field trajectory information are integrated to construct a multidimensional interferometric spectrum of the peak overlap region, which is used to reflect the spatiotemporal superposition characteristics of pollution source emission peaks; This step uses a time peak index list as the core input. By integrating wind field data, flow field data, and thermal trajectory information, it comprehensively characterizes the diffusion, convergence, and interference processes of pollution source emission peaks in the spatiotemporal dimensions, thereby constructing a multidimensional interferometric map that reflects the superposition characteristics of energy, matter, and heat within the region. The specific steps are as follows:

[0035] Based on the time markers and spatial location information in the time peak index list, environmental dynamics data within the corresponding time segments are extracted to establish a three-dimensional dynamic data framework including wind field data, flow field data, and thermal trajectory information. The time peak index list clearly defines the time range, spatial coordinates, energy release intensity, and chemical reaction peak intensity of each peak segment. Therefore, it is necessary to perform spatiotemporal correlation on regional meteorological parameters, surface and subsurface fluid flow parameters, and environmental temperature distribution within the same time period. Wind field data includes wind speed, wind direction, vertical airflow structure, and boundary layer height to characterize the diffusion direction and velocity of gaseous pollutants in the air; flow field data includes surface runoff direction, groundwater flow trend, and velocity distribution to characterize the migration behavior of liquid or dissolved pollutants in the fluid medium; thermal trajectory information includes surface temperature gradient, heat flux density distribution, and thermal energy diffusion path to reflect the impact of energy release on the regional temperature field. By extracting and aligning the data from these different physical fields according to the time windows defined in the time peak index list, a basic dataset of wind, flow, and thermal fields at the same time resolution is formed, providing a complete dynamic input for the spatial mapping of subsequent superposition relationships.

[0036] Based on the established three-dimensional dynamic data framework, wind field, flow field, and thermal field information are spatially coupled with the emission locations and characteristics of each pollution source in the time peak index list to generate a preliminary spatial overlay map of multi-source peak regions. In this process, spatial analysis units are constructed around the geographic coordinates of each peak segment in the time peak index list, spatially corresponding to the wind direction, flow direction, and heat diffusion direction within that time segment. For gaseous emission sources, wind field data determines the main diffusion axis and lateral dispersion range of pollutants; for liquid or multiphase emission sources, flow field data describes the migration path and velocity of pollutants in the liquid medium; and thermal field trajectory information reveals the temperature gradient formed by energy release in space and the possible direction of thermal convection. Through this spatial coupling, it is possible to determine whether the diffusion fronts of emission peaks from multiple pollution sources converge or overlap in a certain spatial region within the same time period, and further identify the areas of wind direction overlap, flow direction overlap, or thermal convection convergence. This step forms a preliminary distribution map of multi-source peak overlap regions in both time and space dimensions, providing a basic structure for the subsequent directional construction of interference relationships.

[0037] After identifying the spatial superposition of multi-source peaks, the interaction characteristics of wind, flow, and thermal fields within these overlapping regions are further analyzed, constructing a comprehensive superposition map that includes dynamic interference, thermal interference, and material interference relationships. Dynamic interference refers to the formation of mutually reinforcing or weakening regions in space by multiple flow directions, velocities, or wind speeds; for example, the convergence of multiple wind directions causes airflow uplift or local vortices, and the merging of multiple flow directions leads to increased fluid velocity. Thermal interference refers to the spatial encounter of multiple heat flow trajectories causing localized temperature increases or heat accumulation. Material interference refers to the concentration superposition, mutual reactions, or changes in migration paths of gaseous, liquid, or particulate pollutants within the flow convergence region. By spatially superimposing these different types of interference relationships, a continuous temporal and multi-layered spatial interference feature map can be obtained. This map reflects the dynamic influence regions and the interaction states of energy, concentration, and thermal fields between pollution source emission peaks. This interference map can reveal the mutual coupling relationships between multi-source emission activities in different time segments, providing a spatial basis for assessing transient amplification risks.

[0038] Based on comprehensive interference relationships, the spatial distribution of dynamic interference, thermal interference, and material interference is integrated to generate a multidimensional interferometric spectrum of peak overlap regions. This multidimensional interferometric spectrum uses a time peak index list as its core index axis and wind field, flow field, and thermal field as its building blocks. Through progressive superposition in the time dimension and layered projection in the spatial dimension, it forms an interferometric spectrum structure with three-dimensional spatial coordinates and time series identifiers. In this spectrum, each overlap region has a clear time identifier, energy release intensity, concentration superposition level, and temperature gradient trend, which can be used to identify regional energy resonance zones, concentration convergence zones, and thermal stress concentration zones generated by multi-source emissions within the same time period. This multidimensional interferometric spectrum not only intuitively displays the spatiotemporal superposition state of peak emissions from pollution sources within a region but also provides a spatially accurate reference framework for subsequent risk transition anchor point extraction. This enables the risk assessment process to shift from independent analysis of single emissions to holistic interferometric assessment under multi-field coupling, thereby revealing the potential transient risk amplification mechanism in complex industrial areas or multi-media interaction areas.

[0039] Based on the multidimensional interferogram, concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals are extracted to generate a set of risk transition anchor points, which are used to identify the spatiotemporal locations where nonlinear risk amplification occurs. Based on the constructed multidimensional interferogram of the peak superposition region, key dynamic signals with risk transition characteristics are extracted for the physical and chemical changes within the interferometric region. These signals include concentration abrupt changes, temperature and pressure jumps, and interface crossing signals. Through systematic spatial screening and temporal localization, a set of risk transition anchor points is generated to identify potential nonlinear risk amplification, thus providing perceptible risk trigger points for subsequent early response and dynamic control. The specific steps are as follows:

[0040] Based on the multidimensional interferogram of the peak overlap region, key areas within the interferometric region exhibiting trends of material convergence, energy accumulation, or thermal stress concentration are identified. The multidimensional interferogram clearly expresses the spatial and temporal coupling relationships of the wind, flow, and thermal fields in graphical form. Therefore, in this step, it is necessary to analyze the spatial gradient changes of energy, concentration, and temperature segment by segment along the time series axis of this spectrum. By comparing the differences in energy and material distribution between different interferometric layers within the same time segment, local areas with abrupt gradients in energy density, heat distribution, and concentration changes over a short period can be identified. These areas typically manifest as spatial points exhibiting rapid increases in concentration, localized heat accumulation, or sudden shifts in pressure distribution. In this way, highly sensitive regions that may experience transient energy release or sudden increases in reaction rate can be identified in the three-dimensional space of the interferogram, laying the spatial localization foundation for subsequent specific signal extraction.

[0041] After identifying key change areas within the interference region, signals exhibiting risk transition characteristics, such as concentration abrupt changes, temperature and pressure jumps, and interface crossing signals, are extracted to address potential abrupt changes in physical and chemical parameters within these areas. Concentration abrupt changes primarily originate from short-term superposition or reaction processes of multi-source emissions within the same spatial range. These signals manifest as a rapid increase in pollutant concentration from low to high levels, reflecting an enhanced coupling between material migration and reaction rates. Temperature and pressure jumps reflect changes in physical stress caused by localized energy release, temperature rise, and gas expansion. The presence of this signal indicates a non-equilibrium state between the thermodynamic and hydrodynamic fields, potentially leading to structural damage or runaway reactions. Interface crossing signals refer to the penetration or infiltration of pollutants or heat flows between different media boundaries, such as gas entering the liquid phase, heat flowing through a solid layer, or liquid permeating into the gas phase. Such crossings alter the diffusion path of pollutants in space and trigger energy distribution reconfiguration within a short period. By analyzing the spatial location and temporal sequence of these three types of signals, a set of time-series nodes representing potential risk transition characteristics can be formed within the interferogram.

[0042] For the extracted concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals, their temporal and spatial correspondences in the multidimensional interferogram are established, forming signal aggregation regions with cross-attributes. Since concentration, temperature, and pressure changes often overlap spatially and interact temporally in complex industrial areas or multi-medium environments, it is necessary to uniformly correspond these signals within the time windows defined by the time peak index list. Within each time window, if any two or all of the three signals appear simultaneously, it indicates the possibility of a physical disturbance transforming into an accelerated chemical reaction or an energy accumulation transforming into fluid disturbance in that region. This temporal and spatial cross-correspondence forms the potential triggering conditions for risk transitions. By organizing the spatial distribution and temporal continuity of these triggering conditions, a signal correlation diagram containing multiple aggregation regions can be generated. These aggregation regions represent the resonance nodes of different types of signals in the interferogram, i.e., the core regions of risk transitions formed under the interaction of energy, matter, and thermodynamics.

[0043] Based on the spatial distribution and temporal sequence relationship of the signal correlation diagram, the overlapping areas of various signals are summarized and organized to generate a risk transition anchor point set. Each risk transition anchor point contains specific spatial coordinates, corresponding time markers, energy release intensity, concentration change rate, temperature gradient, and pressure change amplitude, used to characterize the critical position where risk transitions from a latent state to a nonlinear amplification state. The risk transition anchor point set not only records the key locations of abrupt changes in the multidimensional interferogram but also reflects the temporal mutual response and spatial superposition patterns of different risk factors. This set can be used to describe the dynamic propagation path of risk transitions, thereby revealing the intrinsic connection between risk formation and energy and material migration. In subsequent steps, the risk transition anchor point set will serve as the basis for deploying the early response sensing chain. Through real-time linkage with emission control devices and isolation structures, it can trigger prevention and control responses before risk transitions occur, transforming regional comprehensive environmental risk assessment from passive analysis to proactive early warning and control.

[0044] Based on the set of risk transition anchor points, an early response perception chain is deployed to connect emission control valves and isolation devices, generating a continuous control traction command flow to drive real-time monitoring and dynamic linkage control of risk precursors. This step, based on the existing set of risk transition anchor points, constructs an early response perception chain that connects risk identification, perception transmission, and execution response. Through dynamic connection with emission control valves and isolation devices, it achieves real-time monitoring and coordinated control of risk precursors. The specific implementation process is as follows:

[0045] Based on a set of risk transition anchor points, a sensor node layout plan is developed for the risk distribution pattern within the region. The set of risk transition anchor points includes key parameters for each anchor point, such as its temporal identifier, spatial coordinates, energy release intensity, concentration change rate, and pressure gradient change. According to the spatial relationships of these parameters, the risk transition anchor points are geographically clustered and zoned to determine the core anchor points and surrounding auxiliary anchor points in each risk concentration area. Within each risk concentration area, continuous sensor nodes are established along the possible diffusion or propagation directions of the risk, based on the energy release direction and the flow medium path, ensuring that the sensor chain spatially covers the propagation path of risk transitions. This layout ensures that a temporally and spatially continuous response path is formed between the risk transition anchor points, enabling the sensor chain to capture precursor signals of energy fluctuations, temperature increases, or pressure changes in the early stages of risk state evolution, providing a physical basis for subsequent dynamic linkage.

[0046] After completing the spatial deployment of sensing nodes, a signal correspondence is established between risk transition anchor points and sensing nodes, enabling risk information to be transmissible in both time and space. By matching the time-series characteristics of each anchor point in the risk transition anchor point set with the physical parameters of the sensing node's location, a signal mapping structure between anchor points and nodes can be formed. This mapping structure allows sensing nodes to receive physical change signals from risk transition anchor points within the corresponding time period, including concentration changes, temperature changes, pressure fluctuations, and media disturbance information. When a sensing node detects an abnormal parameter change from an upstream anchor point, the signal it acquires is transmitted step-by-step along the temporal path of the advance response sensing chain to subsequent nodes, dynamically reflecting the spatial propagation and time delay of risk transitions. In this way, the sensing chain forms a dynamic response system that can be updated as the risk state evolves, ensuring the continuity and directionality of risk transition information during transmission and avoiding the information transmission lag problem in traditional risk monitoring.

[0047] After establishing signal correlation between risk transition anchor points and sensing nodes, the output signals of the sensing chain are linked in real time with emission control valves and isolation devices to form a control execution channel. Based on the correspondence between anchor points and pollution sources, energy sources, and transmission paths in the risk transition anchor point set, emission control valves and isolation devices are installed at key nodes in the emission or energy transmission paths, and their correspondences are established with sensing nodes. Upon receiving a risk precursor signal from an upstream anchor point, the sensing node transmits the signal to the corresponding emission control valve or isolation device through the control channel, based on the direction and intensity of the risk transition. The emission control valve can adjust its opening according to the risk status to reduce emission flow rate or reactant input, and the isolation device can activate the isolation barrier based on pressure or temperature changes to block the diffusion path of energy or matter. Through this connection method, the sensing chain transforms from a passive monitoring structure into an active response system, enabling intervention in energy release and pollution diffusion paths in the early stages of risk transition, keeping prevention and control actions synchronized with the risk evolution process.

[0048] Based on emission control valves and isolation devices, a continuous control traction command stream is generated according to the time response characteristics of the sensing chain to drive real-time regulation of regional environmental risks. The continuous control traction command stream uses the physical signals output by sensing nodes as input and the time series of risk transition anchor points as the traction axis, integrating multiple risk precursor signals into a continuous time series command, enabling control actions to have temporal coherence and spatial coordination. When multiple anchor points generate a superimposed effect within a certain time period, the continuous control traction command stream can automatically adjust the intensity and duration of the control signal, causing emission control valves and isolation devices to respond sequentially according to the risk propagation direction, achieving step-by-step reduction of energy release and segmented suppression of pollution diffusion. The continuous output of this command stream enables the entire risk prevention and control system to form a cyclical response state, ensuring dynamic linkage between sensing, transmission, response, and control during risk transitions. In this way, the early response sensing chain not only has monitoring functions but also risk intervention and control traction functions, extending regional comprehensive environmental risk assessment from static analysis to the dynamic control level, realizing a feedforward closed-loop structure for risk management.

[0049] Based on the continuous control traction command flow to execute frequency-division breathing phase refraction regulation, carry out the synergistic process of pulsed bypass discharge and cooling infiltration, form a dynamic balance closure of the energy release path, and reduce the regional environmental risks caused by the time-series overlap of multi-source emissions; Based on the generated continuous control traction command flow, a dynamic regulation mechanism for the energy release path is established to execute frequency-division breathing phase refraction regulation and coordinate the pulsating bypass discharge and cooling infiltration processes. This forms a dynamic equilibrium closed structure for the energy release path, reducing the risk resonance effect of multi-source emissions under temporally overlapping conditions and mitigating the nonlinear amplification trend of regional environmental risks. The specific steps are as follows:

[0050] Using continuous control traction command flow as the regulatory input, the energy release path within the region is identified through frequency division and zoning. The continuous control traction command flow originates from the advance response sensing chain, and its temporal structure records the temporal relationship and spatial distribution of risk transition anchor points. Therefore, in this step, based on the temporal rhythm and spatial response sequence transmitted by this command flow, the energy release path is divided into multiple interconnected dynamic zones. Each zone corresponds to a specific energy transfer direction, medium type, and heat release rate. During the identification process, the continuity of energy transmission between emission control valves, isolation devices, and fluid channels is analyzed to identify areas in the energy release path where there is periodic energy accumulation or short-term energy reflection. This frequency division and zoning identification provides a frequency basis for subsequent breathing phase reflection regulation, ensuring that the rhythmic characteristics of the energy release process are synchronized with the regulatory actions, thereby achieving temporal coordination of energy distribution and establishing the preconditions for the dynamic balance of the energy release path.

[0051] After the energy release path is divided into frequency zones, respiratory phase reversal regulation is performed based on the rhythm signal of the continuous control traction command flow. Respiratory phase reversal regulation refers to introducing periodic energy contraction and release processes into the energy release path, enabling the energy flow to achieve active rhythm reversal within a certain time scale, thereby weakening the temporal peak superposition formed by multi-source energy release. When the continuous control traction command flow is transmitted to each energy zone, the energy release path is divided into two alternating phases: an energy absorption phase and an energy release phase, based on their time intervals and risk intensity. In the energy absorption phase, energy output is temporarily suppressed by delaying the opening of the emission control valve or reducing the energy release rate; in the energy release phase, the energy flow is balanced in stages by gradually restoring the opening of the emission control valve or releasing the accumulated energy. Through this frequency-divided respiratory phase reversal regulation, the originally synchronized energy release peaks can be broken up, causing time displacement of the energy release rhythms from different sources, thereby weakening the formation of resonance conditions. This process not only adjusts the temporal structure of energy release but also makes the load changes of the energy transmission path within the region tend to be balanced, providing a dynamic buffer basis for subsequent pulsed bypass venting.

[0052] During the implementation of frequency-division breathing phase reflection regulation, a pulsed bypass discharge process is carried out for areas where local energy accumulation or heat concentration still exists in the energy release path. Pulsed bypass discharge refers to establishing multiple temporary energy diversion channels along the energy release path, allowing high-energy flow to be released to low-energy areas or non-primary diffusion paths within a short period, thereby reducing the energy density and pressure peaks in the main channel. Based on the control rhythm of the continuously controlled traction command flow, the bypass discharge device is activated before the energy peak occurs, enters maximum flow during the energy peak segment, and gradually closes during the energy decay segment. This process forms a dynamic energy discharge pulse cycle, which coordinates with breathing phase reflection regulation, creating a phase complementarity between the main channel energy output and the bypass energy dissipation. Through pulsed bypass discharge, not only is the thermal stress and pressure concentration in local areas of the energy path reduced, but also energy gradient distribution conditions are provided for the cooling and wetting process, enabling the subsequent cooling medium to more effectively absorb and diffuse heat under the influence of temperature differences, thus constructing a dual-channel dynamic balance for regional energy transmission.

[0053] Based on the pulsed bypass discharge, a cooling and wetting synergy process is implemented to achieve dynamic equilibrium closure of the energy release path. This process involves introducing a cooling medium into key areas of the energy release path and dynamically synchronizing it with the energy flow direction and release rhythm, creating a complementary relationship between cooling and energy release. According to the guiding information of the continuously controlled traction command flow, during the energy absorption phase of the energy release path, the cooling medium enters the heat accumulation zone along the reverse channel to absorb energy from the local high-temperature area. During the energy release phase, the cooling medium covers the energy release surface through wetting, dispersing the heat flow over a wider spatial range during diffusion, thus preventing excessively high local temperatures from triggering new risk transitions. The cooling and wetting process not only absorbs heat but also forms a moist barrier layer around the energy release path, further suppressing energy abrupt changes caused by heat flow crossing the medium interface. With the continuous operation of the frequency-division breathing phase refraction control and the pulsed bypass discharge, the cooling and wetting process continuously synchronizes with the energy rhythm process, resulting in multiple spatial and temporal distributions and a slow-release state of energy. Through this synergistic mechanism of thermodynamics and cooling, the energy release path eventually forms a dynamic equilibrium closed structure, so that the energy flow of multi-source emissions no longer presents a concentrated superposition, but is transformed into a controlled dispersion and slow release process, thereby effectively reducing the regional environmental risks caused by the temporal overlap of multi-source emissions.

[0054] This invention transforms the identification of regional environmental risks from static monitoring to dynamic perception by constructing a time peak index list, fusing wind, flow, and thermal field data, forming a multidimensional interferometric spectrum, and extracting risk transition anchor points. The temporal and spatial coupling relationship between energy release and chemical reaction processes is precisely characterized, enabling the early detection of energy resonance and thermal anomalies caused by the superposition of multiple emission sources. This makes the risk identification process forward-looking and spatially directional, reducing the uncertainty of sudden risk amplification and providing quantitative evidence for regional protection and emergency response.

[0055] This invention utilizes a continuous control traction command flow to execute frequency-division breathing phase refraction regulation, coordinating pulsed bypass discharge and cooling wetting processes to maintain a balanced and closed energy release path under dynamic conditions. The energy flow rhythm is redistributed, local pressure and heat are released gradually, avoiding the nonlinear amplification effect caused by overlapping multiple energy sources in time. Through dynamic linkage between emission control valves and isolation devices, immediate response to risk precursors is achieved, transforming the environmental control system from passive to proactive regulation, effectively enhancing the overall risk control capability and protective stability of the region.

[0056] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A comprehensive environmental risk assessment method for groundwater source areas based on the effectiveness of risk control mechanisms, characterized in that, Includes the following steps: Based on the needs of regional comprehensive environmental risk assessment, minute-level time series are reconstructed using emissions records across the entire region, and synchronous segments of energy release peaks and chemical reaction peaks are extracted to generate a time peak index list. Based on the time peak index list, wind field data, flow field data and thermal field trajectory information are integrated to construct a multidimensional interferometric spectrum of the peak overlap region; Based on the multidimensional interferogram, concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals are extracted to generate a set of risk transition anchor points; Based on the set of risk transition anchor points, an early response perception chain is deployed to connect emission control valves and isolation devices, generating a continuous control traction command flow. Based on the continuous control traction command flow to execute frequency-division breathing phase refraction regulation, a coordinated process of pulsating bypass discharge and cooling infiltration is carried out to form a dynamic balance closure of the energy release path.

2. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 1, characterized in that, The steps for reconstructing minute-level time series data and generating a list of time peak indexes using global emission records are as follows: Based on the needs of regional comprehensive environmental risk assessment, the raw data of emission records across the entire region are structurally integrated, and emission records from different sources, media and intensities are integrated according to a unified time benchmark to establish a minute-level continuous recording framework. After completing the minute-level time series reconstruction, the energy release-related time segments and the corresponding time segments of the chemical reaction process are extracted and matched synchronously to ensure that the energy release peak and the chemical reaction peak are at corresponding positions on the same time axis. Based on the synchronous matching results of energy release peaks and chemical reaction peaks, key time segments with high temporal overlap and forming energy resonance or reaction superposition are screened and a candidate peak segment set is formed. The candidate peak fragment set is integrated and sorted to generate a time peak index list, so that the synchronous fragments of energy release peaks and chemical reaction peaks have a unified time identifier and spatial location.

3. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 2, characterized in that, The steps for constructing a multidimensional interferogram are as follows: Based on the time markers and spatial location information in the time peak index list, wind field data, flow field data and thermal field trajectory information in the corresponding time segments are extracted and a three-dimensional dynamic data framework is established. By spatially coupling wind field, flow field and thermal field information with the emission location and emission characteristics of pollution sources in the time peak index list, a preliminary spatial overlay map of multi-source peak regions is generated. The interaction characteristics of wind field, flow field and thermal field in the overlapping region are analyzed, and a comprehensive superposition map including dynamic interference, thermal interference and material interference is constructed. Based on the comprehensive interference relationship, the spatial distribution of dynamic interference, thermal interference and material interference is integrated to generate a multidimensional interference spectrum of peak superposition region to reflect the spatiotemporal superposition characteristics of pollution source emission peaks.

4. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 3, characterized in that, The multidimensional interferogram of the peak overlap region is constructed with the time peak index list as the core index axis. Through the gradual superposition of the time dimension and the layered projection of the spatial dimension, a three-dimensional spatial structure is formed, so that each overlap region simultaneously has time identification, energy release intensity, concentration superposition level and temperature gradient change trend.

5. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 3, characterized in that, The steps for generating the risk transition anchor set are as follows: Based on the multidimensional interferogram of the peak superposition region, key areas within the interferometric region where there is material convergence, energy accumulation, or thermal stress concentration are identified and their spatial locations are determined. To characterize risk transition features, signals of concentration abrupt changes, temperature and pressure jumps, and medium interface crossings are extracted from key areas. Establish the temporal and spatial correspondence of the above signals in the multidimensional interferogram and form a signal aggregation region containing cross attributes to determine the risk transition triggering conditions; Based on the spatial distribution and time series relationship of the signal aggregation region, a set of risk transition anchor points is generated to identify the critical position where the risk changes from a latent state to a nonlinear amplification state.

6. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 5, characterized in that, In the process of generating the risk transition anchor point set, risk transition nodes within the interference region are screened and classified based on the temporal continuity and spatial superposition intensity of concentration abrupt change signals, temperature and pressure jump signals, and medium interface crossing signals in the multidimensional interferogram.

7. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 5, characterized in that, The steps for deploying an early response sensing chain and generating a continuous control traction command flow based on a set of risk transition anchor points are as follows: Based on the set of risk transition anchor points, a layout plan for sensing nodes is carried out for the risk distribution pattern in the region. Continuous sensing nodes are set up in the risk concentration area along the energy release direction and the flow medium path to form a response path that is continuous in time and space. Establish a signal correspondence between risk transition anchor points and sensing nodes, so that risk information can be transmitted in time and space along the early response sensing chain and maintain dynamic continuity; Establish a real-time connection between the output signal of the sensing chain and the emission control valves and isolation devices, so that the energy release path and the pollution diffusion path can be intervened synchronously. Based on the time response characteristics of the sensing chain, a continuous control traction command flow is generated to drive the emission control valve and isolation device to respond sequentially and form a dynamic linkage process for risk prevention and control.

8. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 7, characterized in that, During the generation process, the continuous control traction command flow dynamically adjusts the opening degree of the emission control valve and the action sequence of the isolation device based on the time sequence changes of the risk transition anchor point. This ensures that the control signal is continuously output in time and transmitted step by step along the risk propagation direction in space, thereby achieving the step-by-step reduction of energy release and the segmented suppression of pollution diffusion, thus forming a spatiotemporal coordinated response mechanism for risk prevention and control.

9. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 7, characterized in that, The steps for performing frequency-division respiratory phase refraction regulation and carrying out pulsating bypass discharge and cooling infiltration synergistic process based on continuous control traction command flow are as follows: Using continuous control traction command flow as the regulation input, the energy release path in the region is divided into frequency zones and identified to determine the energy transfer direction and the periodic energy accumulation area; Based on the rhythmic signal of the continuous control traction command flow, respiratory phase refraction regulation is performed, and the energy synchronous superposition is weakened by the alternating regulation of the energy absorption phase and the energy release phase. During the process of performing frequency-division breathing phase refraction regulation, pulsatile bypass discharge is carried out so that the energy output of the main channel and the energy dissipation of the bypass form a phase complementary relationship; Based on the pulsed bypass discharge, a cooling and wetting synergy process is carried out to form a dynamic equilibrium closure of the energy release path, thereby reducing the environmental risks caused by multi-source emissions.

10. The method for comprehensive environmental risk assessment of groundwater source areas based on the effectiveness of risk control mechanisms according to claim 9, characterized in that, The frequency-division breathing phase reflection regulation and the pulsating bypass release process are carried out simultaneously. The cooling and wetting synergistic process introduces the cooling medium into the energy accumulation zone during the energy absorption phase and covers the energy release surface with the cooling medium during the energy release phase, so that the energy flow maintains rhythmic matching in time and space.

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