21 results about "Exposure assessment" patented technology

The invention discloses a pollution source-based comprehensive risk assessment and monitoring system for plateau aviation occupational health, and relates to the technical field of risk assessment. The system comprises a pollution source identification module, an individual exposure evaluation module, a physiological state analysis module, a comprehensive evaluation prediction module and a health intervention suggestion module. The technical key points are as follows: according to the scheme, multi-parameter fusion monitoring points are deployed, a three-dimensional pollution map is constructed, and a plateau height and meteorological correction function is introduced, so that the overall scheme realizes spatial distribution modeling and comprehensive strength quantification of pollution sources in complex environments such as plateau airports; the problem of inaccurate pollution identification caused by traditional static data and experience judgment is solved, a high-precision and dynamically-updated pollution data basis is provided for subsequent exposure evaluation, the real-time sensing ability of the system to environmental risks is improved, and the accuracy and intelligence of the system in an environmental sensing layer are embodied.

The invention relates to the technical field of regional soil pollution health risk assessment, in particular to a regional soil pollution health risk assessment method based on POI data, and the method comprises the steps: firstly obtaining and preprocessing multi-source heterogeneous data, and constructing a POI spatial database; adopting a Kriging spatial interpolation method to generate a pollutant concentration spatial distribution grid map layer; then combining kernel density estimation and dynamic weight correction to construct a population activity intensity index surface; dynamically generating an exposure evaluation unit, and calculating the multi-path daily average exposure dose of people of different ages; and finally, quantifying the multi-path health risk, generating a risk level distribution map, and identifying the dominant POI category of the high-risk area. According to the method, deep fusion of multi-source data is realized, the association between population activity characteristics and pollution exposure is accurately depicted, the evaluation accuracy and suitability are improved, and a scientific decision basis is provided for pollution prevention and control and risk management and control.

Systems, computer program products, and methods are described herein for dynamic security exposure assessment. The present disclosure is configured to query a variety of public and private sources to capture relevant exposure information about a third party. Machine learning models analyze this information to identify key exposure vectors. Based on these vectors, an exposure assessment model is dynamically generated and deployed within the third party's network environment to evaluate their security posture. This approach enables real-time, comprehensive assessment of third-party security exposures by integrating advanced data aggregation and machine learning techniques.

The application discloses an intelligent full-state polycyclic aromatic hydrocarbon (PAHs) passive sampling monitoring system for individual exposure assessment and source analysis, and belongs to the technical field of environmental pollution monitoring. The intelligent full-state PAHs passive sampling monitoring system comprises a smart passive sampling unit to be worn; an environment perception and positioning unit for collecting space-time information and environmental information; a data processing and communication unit for processing, storing and transmitting the data collected by the environment perception and positioning unit; a full-state PAHs analysis unit for laboratory analysis of the collected samples; and a data analysis cloud platform for receiving the data transmitted by the data processing and communication unit, calculating individual exposure doses and performing preliminary analysis of pollution sources. The intelligent full-state PAHs passive sampling monitoring system deeply integrates a standardized full-state passive sampler, multi-parameter environment perception, accurate positioning tracking, wireless data transmission and cloud intelligent analysis, can realize accurate assessment of individual full-period and full-path PAHs exposure, and can quickly provide an intelligent monitoring of preliminary clues of pollution sources.

The invention relates to the technical field of health assessment, and particularly discloses a pollutant-based health exposure assessment system. Comprising a project library module, a system management module, an exposure calculation module, a risk assessment module and a report generation module. The project library module is used for creating projects and storing basic information; the system management module has a new pollutant warehouse, a parameter library and a reference management function; the exposure calculation module calls corresponding evaluation calculation logic to output exposure dose data according to the exposure scene and the pollutant type; the risk assessment module performs health risk analysis based on the exposure dose data and judges a risk level; and the report generation module generates an evaluation report according to the template mapping rule. According to the system, automation and precision of the whole process of new pollutant health exposure assessment are realized, a standardized report can be generated by one key, an intelligent and efficient'screening-assessment-control 'integrated solution is provided for new pollutant health risk assessment, and the assessment efficiency and accuracy are effectively improved.

The invention discloses an enzyme functionalized sensor for detecting nano plastic DPV in a biological matrix as well as a preparation method and a detection method of the enzyme functionalized sensor, and belongs to the field of nano plastic detection. The sensor comprises an electrode and CAT enzyme, wherein the surface of the electrode is modified with positively charged nano-gold particles, and the CAT enzyme is fixed through positive and negative electrostatic interaction. According to the sensor, the CAT enzyme and the nano plastic are combined to generate conformational change to change the activity of the CAT enzyme so as to cause DPV signal change, the sensitivity is high, the sensor has similar DPV signal response to different types of nano plastic, and a unified calibration model can be utilized to detect a complex biological matrix system so as to realize total amount determination of various nano plastic. And the electrochemical detection method does not need complex instruments and pretreatment, and provides a rapid, economic and extensible detection scheme for nano plastic exposure evaluation and environmental monitoring.

This invention relates to the field of regional soil pollution health risk assessment technology, and more particularly to a method for regional soil pollution health risk assessment based on POI data. The method first acquires and preprocesses multi-source heterogeneous data to construct a POI spatial database; then, it uses Kriging spatial interpolation to generate a raster layer showing the spatial distribution of pollutant concentrations; next, it combines kernel density estimation and dynamic weight correction to construct a population activity intensity index surface; subsequently, it dynamically generates exposure assessment units to calculate the daily average exposure dose via multiple pathways for different age groups; finally, it quantifies the health risks via multiple pathways, generates a risk level distribution map, and identifies the dominant POI category in high-risk areas. This invention achieves deep fusion of multi-source data, accurately characterizes the correlation between population activity features and pollution exposure, improves the accuracy and adaptability of the assessment, and provides a scientific basis for pollution prevention and risk management.

The invention relates to the technical field of traditional Chinese medicine risk assessment, in particular to an ochratoxin A probability risk assessment method and system. The method mainly comprises the following steps: acquiring optimal distribution of annual intake of traditional Chinese medicine and optimal distribution of pollution level; establishing an exposure evaluation model M of the ochratoxin A in the traditional Chinese medicine to be evaluated; obtaining the daily exposure distribution of the ochratoxin A in the traditional Chinese medicine to be evaluated under the non-tumor effect and the tumor effect; and calculating risk entropy RQ according to the daily exposure distribution, comparing the risk entropy RQ with a safety standard value, and evaluating the risk level of the ochratoxin A in the traditional Chinese medicine. According to the method, a risk assessment model about the ochratoxin A in the traditional Chinese medicine is established based on Monte Carlo simulation, the risk assessment accuracy of the ochratoxin A in the traditional Chinese medicine can be greatly improved, and technical support is provided for government and traditional Chinese medicine management institutions to risk management of the ochratoxin A in the traditional Chinese medicine.

The application discloses a metabolic product risk assessment and monitoring system for plateau aviation practitioners, and relates to the technical field of compound testing. The system comprises initialization determination modules, online separation and refinement modules, comparison verification and determination modules, application analysis modules and standardized and traceable analysis modules which are sequentially operated. The technical key points are as follows: the scheme can successfully identify the plateau-specific implicit exposure source through the implicit exposure source identification mechanism driven by the standardization index and the goodness-of-fit, and reversely optimize the operation scheduling. This effect depends on the high-quality and high-representative data provided by the first two stages. The three form an overall indivisible system from accurate measurement to efficient utilization to intelligent attribution. The system breaks through the limitations of traditional exposure assessment, realizes the transition from static description to dynamic traceability, and realizes the whole-process management from health monitoring to operation intervention.

This invention discloses a cadmium protection method and system based on ensemble learning, relating to the field of pollution control technology. It includes basic information acquisition: obtaining past cadmium protection information. The invention first establishes cadmium pollution information corresponding to basic information through information decomposition. The degree of cadmium pollution is determined by the position of the basic information within the cadmium pollution information. Based on the degree of cadmium pollution, a corresponding reference library is selected and matched with the basic information to obtain basic protection information. A redundant protection generation method combines dietary exposure variables with environmental exposure variables. An ensemble machine learning algorithm is used to accurately predict and collaboratively optimize the cadmium load in the body, achieving integrated closed-loop management of "pollution monitoring - risk identification - intelligent optimization of intervention strategies - quantification of effects," improving prevention and control efficiency. By integrating environmental monitoring, exposure assessment, and collaborative intervention, a comprehensive protection approach is adopted to achieve full-chain, intelligent, and collaborative prevention and control of cadmium exposure risk.

The invention relates to a gas-water-soil vertical cross-medium environment influence assessment method. The method comprises the steps of leakage scene identification and classification, cross-medium migration path identification, model establishment and numerical simulation, independent health risk assessment of each medium, multi-medium coupling risk calculation and comprehensive judgment and risk representation and control strategy generation. The invention also relates to a corresponding device, a processor and a computer readable storage medium. By adopting the gas-water-soil vertical cross-medium environmental impact assessment method and device, the processor and the storage medium thereof, limitation of a single environmental medium is broken through, 'atmosphere-soil-underground water 'vertical through simulation is realized, and risk quantitative characterization of hazardous chemicals in different leakage scenes is achieved by combining an exposure assessment model and a toxicity assessment model. And the final output not only comprises a quantitative risk value, but also is directly associated with an executable risk management and control strategy, so that the practical value of the method in environment emergency decision and long-term environment management is greatly enhanced.

The invention belongs to the technical field of environmental health risk identification and supervision, and discloses an environmental health risk assessment method and system for combined pollution of a metal smelting area, and the method comprises the steps: S1, constructing an environmental health risk assessment system; s2, acquiring and inputting data; s3, heavy metal environmental health hazard identification; s4, evaluating receptors of heavy metal environmental health; s5, heavy metal environmental health hazard assessment; s6, evaluating the exposure of the heavy metal environment health; s7, comprehensive evaluation of heavy metal environment health; s8, judging the supervision priority; and S9, performing closed-loop calibration and dynamic updating. According to the method and the system provided by the invention, environmental health risk assessment of metal smelting area combined pollution is carried out based on the GIS grid and internal and external exposure coupling, and differential supervision aid decision-making with explainable risk contribution, adjustable assessment result and dynamically updated supervision priority area is realized.

Embodiments of the present invention provide a system for dynamically monitoring exposures and performing exposure assessment for entity resources. The system is configured for continuously monitoring a plurality of monitoring parameters associated with a plurality of entity resources associated with an entity, determining an anomaly in the at least one monitoring parameter of the plurality of monitoring parameters associated with at least one entity resource of the plurality of entity resources, analyzing the anomaly associated with the at least one monitoring parameter associated with the at least one entity resource, calculating an exposure score for the anomaly associated with the at least one monitoring parameter associated with the at least one entity resource, determining one or more remediation actions for remediating the anomaly based on the exposure score, and automatically implementing the one or more remediation actions.

The application discloses an environmental health risk assessment method and system based on a comprehensive environmental health index, and the method comprises the following steps: acquiring longitude and latitude information of a to-be-measured area and monitoring data of a plurality of influence factors; the influence factors comprise a temperature factor, a relative humidity factor and environmental factors; the environmental factors comprise air pollutants, noise, pollen and negative oxygen ions; exposure assessment is performed on the monitoring data of each influence factor based on the longitude and latitude information, an evaluation value corresponding to each influence factor is obtained, and the evaluation value is input into a preset multi-factor logistic regression model for calculation to obtain a comprehensive environmental health index of the to-be-measured area; the regression model comprises an interaction term related to the temperature and the environmental factors; and the environmental health risk assessment result of the to-be-measured area is determined by analyzing the comprehensive environmental health index of the to-be-measured area. The embodiment of the application can effectively improve the comprehensiveness of environmental health risk assessment and can be widely applied to the technical field of environmental health monitoring.

A method for quantifying microplastic exposure in a subject includes receiving a blood sample and measuring, using liquid chromatography-mass spectrometry, concentrations of a plurality of non-endogenous chemical biomarkers in the blood sample, wherein each biomarker is associated with at least one microplastic polymer type. The method may include comparing the measured concentrations against baseline contamination levels derived from control samples. Biomarker concentrations attributable to in-vivo microplastic exposure may be identified based at least in part on the comparing. An exposure assessment for the subject may be generated based at least in part on the biomarker concentrations, wherein the exposure assessment indicates exposure levels for one or more microplastic polymer types. The exposure levels may be categorized relative to a population reference dataset and may be mapped to likely sources of microplastic exposure.

The invention provides a method for evaluating a pollutant mixing exposure health risk and application thereof. The method comprises the following steps: obtaining exposure data and health data of a target population; inputting the exposure data and the health data of the target population into a pre-constructed Qgcomp model to obtain qualitative associated data; training a machine learning model based on the exposure data and the health data of the target crowd; analyzing the trained machine learning model by adopting an SHAP value to obtain quantitative associated data; and performing mechanism analysis on the qualitative associated data and the quantitative associated data based on a biological method. According to the method, a system framework of exposure assessment, qualitative association, quantitative attribution and mechanism analysis is constructed, three core problems of mixture exposure to crowd health are completely solved, assessment precision and reliability are integrated and improved, and a generalizable analysis template is provided for complex environment health problems.

This invention discloses a method and system for assessing global population exposure based on tropical cyclone physical wind fields and population spatial resampling, belonging to the field of meteorological disaster risk assessment. It includes: establishing a unified standard latitude and longitude grid as a spatial calculation framework; traversing all years and cyclone events within the target time period, transforming annual population raster data to a unified grid through area-weighted resampling; reconstructing instantaneous wind speeds of the grid step-by-step using the Holland model based on optimal cyclone path data; calculating nonlinear exposure response coefficients using the Sigmoid function based on wind speeds; calculating instantaneous population exposure and incrementally accumulating it to a cumulative matrix; and finally synthesizing and outputting a multidimensional risk spatial distribution atlas. This invention solves the problems of coarse characterization of exposure relationships, distortion in spatial scale conversion, and low efficiency in long-term computation in existing technologies, achieving high-precision and high-efficiency global population exposure risk assessment.

The application discloses a kind of indoor air quality real-time monitoring system based on multi-sensor fusion, specifically relates to indoor environment monitoring and health protection technical field, and sensitive population breathing zone data is collected by transient exposure perception module and generates transient exposure data, time alignment fusion module carries out time alignment to multiple sensor data and generates multidimensional pollution exposure vector, risk driving control module is mapped into health risk utility value and generates control instruction with minimization as target, and health feedback calibration module generates new individualized exposure response boundary parameter according to health outcome feedback and reversely adjusts the sampling strategy and determination criterion of perception module, and forms closed loop optimization;The application realizes accurate exposure evaluation by breathing zone transient exposure perception and time alignment fusion;Through health risk utility driven control, realize the collaborative optimization of multiple pollutants;Through health outcome reverse calibration, closed-loop adaptive mechanism is constructed, and the health protection effect for sensitive population is significantly improved.

The invention discloses a method for determining an atrazine biomarker in urine through high-throughput liquid chromatography-mass spectrometry, and belongs to the technical field of biological sample analysis and detection. According to the method, a 96-well plate automatic pretreatment workstation is adopted to integrate the steps of centrifugation, dilution, solid-phase extraction and nitrogen blowing concentration, and 96 samples can be treated at the same time in each batch; a Kinetex C18 core-shell chromatographic column is adopted for rapid separation, baseline separation of atrazine and six main metabolites thereof is completed within 6 minutes, and the separation degrees are all larger than 1.5; each target object is provided with a corresponding isotope labeling internal standard for calibration, and the quantitative precision is controlled within the range of + / -5%; the detection limit reaches 0.1 ng / mL, and the low-dose exposure monitoring requirement is met. The method has the characteristics of high throughput, high sensitivity, high accuracy and high automation degree, and provides a reliable and efficient technical means for large-scale population atrazine exposure assessment and environmental health research.

The application discloses a satellite ground measurement data and communication signaling fusion air pollution exposure assessment method. In a unified space-time framework, a regular space grid system and a unified time axis are constructed; multi-source environmental data are collected and preprocessed, a high space-time resolution multi-pollutant concentration field is constructed through a machine learning model; communication operator signaling data are acquired and processed, a user time-activity pattern is constructed through a stay point identification, a residence / work place determination and a path interpolation; individual exposure is calculated by fusing the concentration field and the activity trajectory, a dose-type exposure index is calculated by introducing an activity intensity mapping respiratory rate, a multi-pollutant comprehensive exposure index is constructed and multi-time scale statistical analysis is carried out, and an exposure result confidence interval is acquired through uncertainty modeling and Monte Carlo simulation. The application can finely depict a real exposure process of a population, support multi-pollutant collaborative exposure assessment, and provide a scientific basis for environmental health risk assessment and fine air quality management.

The application discloses a kind of flood and drought dynamic risk assessment methods of fusion multi-source land information, it is related to disaster risk assessment technical field.The method first obtains multidimensional land information source data, constructs unified standard fusion dataset by geographic registration, abnormal value processing and feature level fusion;Again, based on the dataset, respectively construct flood and drought hazard assessment model containing flood and drought sub-model, disaster environment exposure assessment model and disaster body vulnerability assessment model;Through risk coupling matrix and multivariate nonlinear coupling algorithm, the coupling operation of three kinds of models is realized, and the dynamic risk assessment result is obtained;Finally, establish risk dynamic updating mechanism, based on time series data iterative optimization evaluation result, and output spatial distribution diagram, time series curve and picture-text integrated report and other visual achievements.The method realizes multi-source data depth fusion and multi-factor coupling analysis, improves the accuracy and timeliness of evaluation, and provides scientific support for disaster prevention and mitigation decision-making.