16 results about "Environmental risk assessment" patented technology

This invention discloses an adaptive zoning management method for water environment pollutants based on differences in ecosystem service functions, belonging to the field of environmental risk assessment and pollutant management technology. The method includes the following steps: S1, ecosystem service function zone division; S2, establishment of a candidate pollutant inventory and concentration measurement; S3, construction of a differentiated multi-criteria evaluation system; S4, comprehensive subjective and objective weighting, determining the weights of each evaluation indicator for each ecosystem service function zone using a comprehensive subjective and objective weighting method; S5, pollutant priority ranking and inventory generation; S6, implementation of differentiated management measures. This invention, by constructing a zoning assessment framework and integrating multi-criteria decision analysis and a mixed subjective and objective weighting model, achieves accurate identification and scientific ranking of the environmental and health risks of pollutants in different functional zones. By generating a differentiated priority management inventory for each zone, it achieves the technical effect of transforming from unified supervision to precise adaptive management.

The application discloses a cross-medium area comprehensive environmental risk assessment method fusing an atmospheric and water risk field, relates to the technical field of environmental assessment, and comprises the following steps: based on environmental risk assessment requirements, constructing a cross-medium time sequence anchoring zone, forming a unified time axis by fusing wind field data and water flow data, extracting a phase difference of a pollutant concentration peak section, and generating a phase index list. The application realizes time, space and energy coupling analysis of air and water body risk processes by constructing a cross-medium time sequence anchoring zone, a spatial superposition kernel list and a gas-liquid exchange channel fingerprint, dynamically tracks a risk transmission path and identifies an energy aggregation area; meanwhile, the application realizes active dispersion and dynamic balance of risk energy by coupling abnormal spectrum energy budget and a breathing type phase inversion traction, and effectively improves the accuracy of risk assessment and the stability of an environmental system.

The application relates to the technical field of environmental risk assessment, in particular to a water environment micro-plastic risk assessment method under multiple environmental factors, which comprises the following steps: constructing a micro-plastic pollution database and a multiple environmental factor resource database; pre-processing and feature engineering are performed on original data, core environmental driving factors are screened, and a standardized modeling data set is formed; a risk assessment model is constructed by fusing a harmful outcome path framework, a micro-plastic risk quantitative value is calculated by a weighted comprehensive index method or a machine learning algorithm; a final risk grade is determined in combination with a risk grade division standard and a toxic polymer adjustment mechanism, and an environmental management decision suggestion is output. The application solves the problems of single evaluation index, insufficient consideration of environmental factors, weak machine interpretation and insufficient prediction ability in the prior art, and realizes accurate and dynamic risk assessment of water environment micro-plastic pollution.

The present application relates to the technical field of environmental risk assessment, in particular to a regional groundwater comprehensive environmental risk assessment and zoning method and system, comprising the following steps: laying out monitoring points to collect pollution characteristic records, screening out incomplete information, analyzing spatial co-occurrence relationship to identify observation characteristic combinations, judging continuous distribution characteristics to delimit independent regions, modifying boundary trends to adjust spatial ranges, and finally outputting regional groundwater risk assessment and zoning atlas. In the present application, an index set is constructed based on pollution characteristic records, feature merging and combination are realized through spatial co-occurrence relationship, a set of risk areas with continuous distribution is generated, boundary overlap and fracture problems are corrected, the boundary trend of the region is adjusted in combination with the migration direction of groundwater and the stratum structure, the pollution information is accurately anchored to the actual spatial unit, the labeling relationship between the graphical boundary and the pollution elements is constructed, and the spatial expression clarity of risk assessment and the positioning accuracy of regional governance are improved.

The application discloses an iron modified biochar environmental risk and remediation benefit evaluation system and method, relates to the field of environmental remediation data evaluation, and can adjust semantic similarity threshold value when it is detected that current search performance does not reach a preset standard, and synchronously optimizes cache capacity configuration when necessary, so that optimal parameter combinations can be found within a limited number of adjustments, thereby avoiding the problem of low search efficiency caused by improper parameter setting in traditional search; this not only greatly reduces invalid search time, but also improves cache resource utilization, and guarantees the comprehensiveness and accuracy of search results; finally, the search results are sorted through a sorting model, so that the most effective remediation impact features can be identified and applied in priority, thereby guiding the accurate preparation and release of iron modified biochar, and significantly improving the remediation effect of contaminated sites; at the same time, through a regular environmental risk evaluation mechanism, the safety and sustainability of the remediation process are ensured.

This invention belongs to the field of data processing and risk management technology. Specifically, it discloses an environmental risk assessment method and system based on topological data analysis, comprising: acquiring multi-source real-time monitoring data; identifying dense data clusters and sparse bridge nodes through topological clustering; dynamically adjusting monitoring resources; performing dynamic feature calculations on the data to generate multi-level dynamic field data; performing continuous coherence analysis to extract stable topological patterns and encode them as structural fingerprint vectors; using these vectors to dynamically activate and adjust the environmental risk knowledge graph to generate a dynamic risk logic graph; separately deriving parametric risk scores and structural risk scores, and calculating their conflict degree; making decisions based on the conflict degree, outputting a comprehensive risk level or triggering structural risk warnings and explanatory information. This invention aims to overcome the limitations of traditional assessments in terms of lag and insufficient interpretability, achieving predictive management of environmental risks and self-optimization of the knowledge base.

This invention relates to the field of geophysical exploration technology and discloses a method for environmental risk assessment of geophysical mapping in groundwater-rich areas of subway construction zones. The method includes the following steps: S1, Data Acquisition and Fusion Step: Collecting ground-penetrating radar (GPR) data, surveying data, and engineering geological information from the subway construction area; spatially registering the GPR data and surveying data in a unified coordinate system to establish a comprehensive dataset containing the reflection characteristics of the subsurface medium and the spatial locations of surface and subsurface structures. By spatially registering and fusing GPR data, surveying data, and engineering geological information in a unified coordinate system, a comprehensive dataset containing the reflection characteristics of the subsurface medium and the precise spatial locations of surface and subsurface structures is established. This method overcomes the problem of disconnect between traditional geophysical interpretation and engineering spatial location, laying a reliable data foundation for subsequent accurate modeling and risk assessment.

The present application relates to the technical field of water quality monitoring, in particular to a regional water environment risk assessment system considering the influence of water ecology and resident life, which comprises a water temperature and flow velocity module, an ecological analysis module, a pollution analysis module, a risk assessment module and an optimization assessment module.In the present application, water temperature, flow velocity and resident water consumption are collected and subjected to periodic characteristic separation, the synchronous change rate of temperature and water consumption behavior is analyzed to calculate the thermal disturbance intensity, the water ecological thermal response characteristic set is generated, the concentrations of dissolved oxygen, dissolved nitrogen, dissolved phosphorus and chlorophyll a are collected for correlation analysis, the ecological energy metabolism coordination coefficient is calculated to generate the ecological stability sequence, the residual chlorine and soluble organic carbon concentrations in the water supply path are detected to calculate the pollutant concentration fluctuation rate, the thermal disturbance intensity is combined to generate the pollution activation sequence through probability classification, the pollution migration rate is deduced and the risk time sequence data is fitted to generate the regional water environment risk optimization result.

This invention relates to a physiological environmental risk assessment method based on expiratory response patterns, belonging to the field of expiratory analysis and health risk assessment technology. Addressing the shortcomings of existing non-invasive assessment methods in identifying intermediate metabolic transition states and the susceptibility of assessment results to individual baseline differences, this invention proposes a physiological environmental risk assessment method based on a mixed expiratory response pattern. This method collects mixed expiratory response signals using a gas sensor array, constructs a multi-dimensional feature vector characterizing the overall response behavior, and uses feature distance metrics to initially stratify stable, intermediate-risk, and high-risk states. When in an intermediate-risk state, a second-level subdivision is performed by combining baseline response levels and dynamic decay characteristics, generating six types of physiological environmental risk assessment results. This invention is applicable to non-invasive health risk screening and long-term trend assessment in home settings.

This invention discloses a watershed water environment risk assessment method and system based on big data analysis, belonging to the field of environmental risk monitoring technology. The key technical solutions include the following steps: collecting multi-source heterogeneous water environment data from different sub-watershed units within the watershed; processing the multi-source heterogeneous data to construct a basic watershed water environment database; based on the basic watershed water environment database, classifying watershed risk-sensitive scenario types, extracting characteristic indicator sets of water quality, hydrology, and pollution sources from each watershed risk-sensitive scenario type, and calculating the spatiotemporal coupling correlation between characteristic indicators; setting risk threshold ranges for characteristic indicators, filtering out abnormal indicator data exceeding the threshold range, and matching the risk-sensitive scenarios corresponding to the abnormal indicator data. The effect is to break down the format barriers and spatiotemporal resolution differences of data from different sources, avoiding data fragmentation and insufficient support capabilities, and providing a unified and reliable data foundation for subsequent risk assessment.

The present application belongs to the technical field of environmental analysis chemistry, and discloses a high-throughput identification method for synthetic phenolic antioxidant pollutants. The method realizes the synchronous screening and identification of known pollutants and unknown substances similar in structure by performing mass spectrometric analysis on the sample to be measured, and organically combining the two paths of target database matching and non-target molecular network analysis; after spectrum verification, the environmental risk assessment can be further completed. The method effectively overcomes the defect that the traditional targeted screening is easy to miss new pollutants. Through non-target molecular network analysis, potential new pollutants can be efficiently explored from complex mass spectrometric data, significantly expanding the identification range. Therefore, the present application ensures accurate quantification of known pollutants while improving the discovery ability of unknown risk substances, thereby realizing more comprehensive and accurate identification and risk assessment of environmental pollutants.

The present application belongs to the technical field of heavy metal contaminated soil environmental risk assessment, and particularly relates to an environmental risk assessment method for heavy metal contaminated soil remediation and building material recycling. The present application adopts simulated rainwater to leach the risk assessment system, calculates the diffusion coefficient of the remediated heavy metal in soil, and thereby constructs a one-dimensional heavy metal diffusion model. Then, according to the dilution and attenuation coefficient of the heavy metal in groundwater, the concentration level of the heavy metal in the building material released into the groundwater during the process of remediated soil recycling into building material is calculated. Finally, the potential drinking groundwater pollution risk possibly caused by the remediated soil recycling into the first type of land (residential land) is quantitatively evaluated. The present application has the advantages of simple method, clear process, short cycle, high efficiency, scientific rationality, and can accurately predict and evaluate the pollution risk of the local groundwater caused by the building material recycling of the remediated contaminated soil, which is beneficial to the protection of the groundwater environment, and the method provided by the present application has wide applicability.

This invention relates to the field of progress monitoring technology, specifically to a method and system for monitoring the progress of road construction sites. The method includes the following steps: collecting temperature and humidity data and constructing environmental impact monitoring data through differential calculations; using a Kalman filter to predict and label anomalies to generate construction environmental risk assessment results; analyzing the progress and calculating and solidifying impact factors and connection factors; using fuzzy evaluation to correct equipment compatibility and generate construction progress monitoring adjustment instructions; and updating the progress table to form real-time monitoring results of road construction progress. In this invention, by forming a sequence of temperature and humidity changes around construction nodes and performing correlation analysis on fluctuation trends and deviations, environmental disturbances are quantified into construction condition parameters. These parameters are then mapped to material curing cycles and process connection windows through anomaly identification, driving dynamic correction of progress parameters. Furthermore, by adapting and calibrating execution conditions through evaluation, progress adjustments are made based on environmental response, improving the coordination of construction rhythm and the level of process controllability.

This invention discloses a regional groundwater environmental risk assessment system and method considering the vulnerability of risk receptors, relating to the field of hydrogeology. The system includes the following steps: S100, establishing a cross-timescale monitoring baseline, collecting groundwater recharge intensity sequences and hydrochemical sequences, extracting sedimentary pollution fingerprints through multidimensional correlation, and identifying germination areas with re-release characteristics; S200, under the constraint of the cross-timescale monitoring baseline, calculating the temporal coherence and phase residuals between the recharge disturbance sequence and the sedimentary pollution fingerprint, identifying key spatiotemporal locations triggering pollution release, and constructing a pollution release causal residual spectrum. This invention extracts pollution fingerprints through cross-timescale monitoring, identifies high-risk release areas, reconstructs pollution pathways by combining coherence analysis and phase inversion, sets threshold surfaces and precursor scores, generates pre-suppression parameters, and achieves pollution limiting and closed-loop control through frequency shifting and time inversion, thereby improving groundwater risk response and management capabilities.

The application relates to the technical field of communication, and particularly discloses a communication system and method based on a vehicle-mounted electronic device and a storage medium. The application first extracts a vehicle-mounted device data transmission request keyword and quantifies an importance score as a core weight, combines transmission delay time and a stability index to calculate time sensitivity, quantifies the urgency of high-time-efficiency demand, introduces environmental risk assessment, analyzes communication quality risk according to a visibility index and a signal attenuation coefficient, guarantees key data transmission in a harsh environment, generates a comprehensive transmission priority value by fusing the keyword score, the time sensitivity and the environmental risk value, breaks through the limitation of single-dimensional evaluation, realizes dynamic balance of data importance, timeliness and environmental influence, generates independent priority values by processing all requests in the system, and dynamically schedules according to the comprehensive score. The method improves the response speed of emergency instructions, enhances the robustness of the system, reduces safety hazards, and ensures reliable operation of the vehicle under complex working conditions.

The application relates to the field of urban environment risk assessment, in particular to a city heat risk assessment method based on social and building double-weakness coupling. The method comprises the following steps: obtaining multi-source data of a target region, wherein the multi-source data comprises heat risk dimension indexes, social vulnerability dimension indexes and building vulnerability dimension indexes, the heat risk dimension indexes are a set of indexes representing the intensity of physical hazards of a heat environment, the exposure degree of people and buildings in the heat environment and the adaptation capacity of people and the environment in the heat environment, the social vulnerability dimension indexes are a set of indexes representing the vulnerability degree of people in the heat environment, and the building vulnerability dimension indexes are a set of indexes representing the physical vulnerability of buildings; heat risk indexes, social vulnerability indexes and building vulnerability indexes of each spatial unit in the target region are calculated according to the indexes; and heat risk assessment parameters of the target region are determined based on the indexes, so that the accuracy of heat risk assessment is improved.