253 results about "Environmental quality" patented technology

A method and device for evaluating ecological cumulative effects of surface mining areas are provided. The method includes: constructing a surface mining areas eco-environmental evaluation index (SMAEEI) suitable for semi-arid grasslands; constructing a first eco-environmental quality condition adjustment coefficient R(Si,j,th) based on the actual land cover classification result and the SMAEEI; obtaining the actual ecosystem service value ESV per unit area of the area to be evaluated in several years through the unit area ecosystem service value coefficient VCif of the area to be evaluated and the first eco-environmental quality condition adjustment coefficient R(Si,j,th); based on the time-series trajectory integral value of the actual ecosystem service value ESV per unit area and the ideal ecosystem service value ESV′ per unit area undisturbed by human beings, performing residual analysis to obtain the ecosystem service value accumulation induced by anthropogenic factors (ESVA-AF).

The invention discloses a clean workshop production environment quality control method and system, and relates to the technical field of environment control, and the method comprises the steps: constructing a multi-layer sensing network, deploying temperature and humidity, particle concentration, pressure difference and VOC gas sensors, and carrying out the preprocessing data of each node through edge calculation; fusing the data based on a dynamic weight distribution algorithm, adjusting the weight according to the confidence score, and generating an environment quality comprehensive index; an LSTM pollution diffusion prediction model is established, a diffusion path is calculated in combination with airflow field simulation when pollution suddenly occurs, and an emergency response partition strategy is generated; fresh air system control parameters are optimized through reinforcement learning, a dynamic ventilation frequency adjusting model is established based on a real-time environment quality index and historical energy consumption data, and energy consumption is minimized through a Q-learning algorithm on the premise that cleanliness is guaranteed; a double-threshold early warning mechanism is set, local supercharging purification is started when a comprehensive index exceeds a first-level threshold, a second-level threshold is linked with adjacent areas to form a dynamic isolation barrier, and an intervention scheme effect is simulated through a digital twin system.

The invention relates to the field of environment monitoring, and discloses an efficient and accurate pollution source monitoring quality control system and method, and the system comprises a multi-modal data collection module, a high-dimensional data modeling module, a time-space correlation analysis module, a time sequence prediction module, a multi-task learning module and an anomaly detection feedback module. The method comprises the following steps: collecting data of pollutants such as air, water quality and noise, performing high-dimensional modeling and optimization on the data, and capturing space-time propagation paths of the pollutants among different sensor nodes; the system predicts the short-term change and the long-term trend of the pollutant concentration in real time; the multi-task learning model is used for predicting concentration changes of multiple pollutants at the same time, multi-scale decomposition is carried out on a time sequence through wavelet transform, abnormal changes in data are detected, and a feedback control strategy is generated. According to the invention, the precision and real-time performance of pollution source monitoring are improved, the dynamic change of multiple pollutants can be effectively handled, and the high efficiency and reliability of environment quality monitoring are ensured.

The invention relates to the technical field of environmental parameter measurement, in particular to an indoor environment quality intelligent evaluation method based on multi-dimensional data fusion, which comprises the following steps: step 1, performing time-space synchronous acquisition on multi-source data; 2, a dynamic correlation model is constructed, a parameter coupling matrix is generated based on inter-parameter time-delay cross-correlation analysis, the time-delay cross-correlation analysis is achieved through sequence translation in a sliding time window and correlation coefficient calculation, an environment state class is constructed according to a parameter mean vector, fluctuation intensity and abnormal event marks, and a dynamic correlation model is constructed; each environment state class is bound with an independent parameter contribution degree weight set; step 3, performing double-stage environment quality evaluation; and step 4, adaptive increment optimization: when the deviation between the comprehensive evaluation index and the subjective evaluation exceeds a threshold value, adjusting a parameter contribution degree weight set of an environment state class, and periodically reconstructing a parameter coupling matrix. The prediction capability is improved by considering the time-delay coupling between the parameters; the system has self-learning and optimization capabilities, and the stability of long-term operation of the system is improved.

The invention relates to the technical field of environment monitoring, in particular to an intelligent acquisition method based on environment monitoring data fusion, which comprises the following steps: S1, constructing a multi-sensor distributed monitoring network, and acquiring atmosphere, water quality, soil and meteorological environment data; s2, performing data preprocessing, including smoothing, anomaly detection, interpolation and time alignment; s3, carrying out data source, feature and decision three-level fusion, and outputting an environment quality level; s4, constructing a quality index system, monitoring data quality and adaptively optimizing fusion parameters when the data quality is abnormal; s5, performing environment trend prediction and pollution tracing based on a fusion result, and generating early warning information; and S6, constructing a cross-modal causal diagram, reasoning a multi-source causal path, and identifying pollution key factors and source responsibility subjects. According to the invention, through multi-source environment data fusion and cross-modal causal reasoning, high-precision early warning of environment abnormity and intelligent traceability identification of pollution sources are realized.

The invention relates to the technical field of environmental monitoring, in particular to an ecological environment and environmental pollution monitoring system and method, and a multi-source heterogeneous data acquisition module comprehensively acquires water quality, weather and space monitoring data. The system comprises a topological mapping data preprocessing module which is used for abnormal data detection and data vacancy filling; the state evolution analysis module is used for constructing an environment state transition network and analyzing an environment state evolution rule; the environment comprehensive evaluation module is used for calculating a water safety level index and a water pollution condition index and generating an environment quality evaluation report; the pollution diffusion prediction module is used for predicting a pollutant diffusion path and concentration distribution and identifying a high-risk area; the intelligent early warning and visualization module is used for generating graded early warning information and visually displaying the environment state and the pollution diffusion condition through multi-dimensional data, so that the coverage and the data integrity of environment monitoring are remarkably improved, the environmental pollution problem can be timely found and dealt with, and the ecological environment safety is guaranteed.

The invention relates to the technical field of agricultural environment control, in particular to an automatic environment regulation and control system for planting traditional Chinese medicinal materials, which comprises an environment quality evaluation module, an environment regulation and control demand analysis module, a planting mode optimization module and an intelligent regulation and control module. According to the method, environmental changes can be comprehensively understood by comprehensively evaluating the environmental quality, monitoring and analyzing the volatility of environmental data and judging the actual influence on the root growth of the traditional Chinese medicinal materials, a more stable and suitable growth condition is provided for the traditional Chinese medicinal materials, and fine adjustment of the environmental data is realized by simulating multi-environment combination, so that the accuracy of the traditional Chinese medicinal materials is improved. The method not only optimizes the rhizosphere environment, but also effectively promotes the absorption of the traditional Chinese medicinal materials to the target nutrient elements, enhances the growth efficiency and quality of the crops, dynamically regulates and controls the environmental parameters, further improves the nutrient absorption capacity of the traditional Chinese medicinal materials, ensures the health of the root system and the overall development of the crops, and improves the economic benefits of the crops. And synchronous improvement of production efficiency and crop quality is ensured.

The invention provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining a soil permeability characteristic descending trend and estimating an uncertainty range of a runoff coefficient; obtaining source model data according to the uncertainty range of the runoff coefficient by using a regional pollution production and convergence model; using the one-dimensional river network model to obtain error information according to the source model data, and outputting prediction data; and determining a prediction deviation mode by comparing the prediction data with the real-time monitoring data, and correcting parameters of all related models in the whole model chain. The method aims at solving the technical problem that the permissible discharge amount set based on a three-model coupling system does not conform to the actual absorption capacity of a water body due to continuous nonlinear deviation of river network model prediction and actually measured water quality data in the three-model coupling system, and accurate analysis of the urban pollution load and water environment quality response relation is achieved. And real-time and self-adaptive adjustment of the permissible emission amount is carried out.

The invention provides a regional ecological environment quality evaluation method and system based on remote sensing data, and relates to the technical field of environment remote sensing and ecological monitoring, and the method comprises the steps: extracting red light and near-infrared reflectivity at the peak of a growing season by using Landsat8 satellite data, and calculating a mixed vegetation index; synchronously measuring vegetation indexes of pure vegetation and bare soil on site to obtain a vegetation coverage rate, and obtaining water transparency, suspended solid concentration and chlorophyll a concentration through on-site measurement on the basis of green light, red light, blue light and near-infrared reflectivity in a heavy rainfall period and a dry season; the method comprises the following steps: constructing a linear regression model of reflectivity and water quality parameters through a least square method, calculating a water quality index, constructing an extreme weather influence factor based on ten-year extreme weather data, and finally fusing a vegetation coverage rate, water quality, the extreme weather influence factor, annual precipitation, annual average temperature, optimal regional vegetation temperature and historical rainfall extremum. And constructing an ecological quality index, and dividing ecological environment quality grades.

The invention relates to a multi-mode-based laboratory environment monitoring method and system, and relates to the field of environment monitoring, and the method comprises the steps: obtaining environment information of each animal cabin in a laboratory in a preset historical time period and a monitoring video of each animal cabin, the environment information comprises a temperature change curve, a humidity change curve and an oxygen content change curve, determining an activeness change curve of each animal cabin according to the monitoring video, determining an environment quality change curve of each animal cabin according to the environment information, determining a target cabin of which the activeness reaches a preset activeness threshold according to the activeness change curve, and determining a target cabin of which the activeness reaches a preset activeness threshold according to the target cabin. And judging whether an abnormal cabin exists in the target cabin or not according to the environment quality change curve and the activity change curve, and if yes, controlling a ventilation device to ventilate the abnormal cabin. The method has the effects that the abnormal cabin can be conveniently found in time, and the environment of the abnormal cabin is improved.

The invention belongs to the technical field of water resource monitoring, and particularly relates to an urban water environment quality evaluation and assessment method based on an automatic monitoring network, which comprises a water quality monitoring module, a parameter preprocessing module, a comprehensive quality calculation module, a water quality analysis module, a long-acting management module and a closed-loop optimization module. According to the method, parameter weights are dynamically distributed through ecological influence, evaluation deviation caused by traditional fixed weights is avoided, and the scientificity of water quality index calculation is improved; a monitoring-analysis-management and control-optimization whole process is closed-loop, and a long-acting management cycle is formed by combining hierarchical management and control such as III-class limited rectification, IV / V-class production halt management and quarterly strategy updating; a multi-level monitoring network architecture is adopted, real-time monitoring data, seasonal factors and public feedback are integrated, and data comprehensiveness and credibility are enhanced; a pollution hotspot map is matched through five-level water quality labels, a pollution source is quickly positioned, and differentiated treatment decisions are assisted.

The invention provides a terrestrial ecosystem service function monitoring and evaluation method, and the method comprises the steps: generating a biological feature vector and an environment feature vector according to biological data and environment data collected in an ecological protection region; performing species identification on the biological feature vector based on a biological large model, performing environment analysis on the environment feature vector based on an environment large model, and obtaining animal and plant information and environment quality evaluation conditions in the ecological protection area; and based on an ecological system evaluation model, carrying out comprehensive reasoning analysis on the organisms, the environment, the comprehensive feature vectors, animal and plant information in the ecological protection area and environment quality evaluation conditions, and evaluating an ecological system service function of the ecological protection area. Wherein the comprehensive feature vector is determined based on the fusion of the biological feature vector, the environment feature vector and the dynamically adjusted weight. According to the method, the overall ecological condition of the ecological protection area can be more comprehensively understood by adopting a large model technology, and more comprehensive, accurate, dynamic and scientific ecological system service function evaluation is provided.

The invention specifically discloses a long-time-sequence high-frequency ecological environment quality space-time differentiation and driving analysis method, and relates to the technical field of remote sensing and ecological environment. The method comprises the following steps: determining an evaluation area, and constructing a macroscopic ecological safety risk evaluation framework; ecological indexes of greenness, humidity, temperature and dryness are calculated, and a time sequence data set is constructed; reconstructing a time sequence data set and constructing a remote sensing ecological index model based on the reconstructed time sequence data set; verifying the precision of the model, and evaluating the reconstruction precision by taking the screened high-quality pixels as true values; analyzing the spatial and temporal change trend and significance output by the model by using slope estimation and trend test, outputting future change continuity by using a Hurst index analysis model, and measuring spatial autocorrelation output by the model by using a Moran index; remote sensing ecological index evolution factors are researched by means of an optimal parameter geographic detector. According to the invention, the precision and timeliness of ecological assessment are improved, and decision support is provided for ecological management.

The invention relates to the technical field of ecological environment monitoring, in particular to an ecological environment quality monitoring and early warning method, a product, equipment and a medium. The method comprises the steps of performing correlation analysis on historical environment data and historical influence factor data, and determining influence factor data with strong correlation in each environment index in the historical environment data; establishing a multi-output regression model; obtaining current influence factor data, performing prediction based on the current influence factor data to obtain predicted influence factor data, and inputting the predicted influence factor data into the multi-output regression model to obtain predicted environment data; and analyzing and predicting standard-exceeding environment indexes in the environment data, performing early warning on the standard-exceeding environment indexes, generating an influence factor list corresponding to the standard-exceeding environment indexes, and determining rectification measures based on the influence factor list. According to the invention, timely early warning and rectification guidance can be carried out on the condition that the ecological environment indexes exceed the standard, and scientific and effective decision support can be provided for environmental protection and treatment.

The invention discloses a livestock and poultry house environment parameter self-optimization regulation and control method based on swarm intelligence, and the method comprises the steps: collecting multi-dimensional environment parameters, such as temperature and humidity, through arranging a sensor array in a livestock and poultry house, and constructing an environment parameter sensing matrix; and converting the matrix into hypergraph structure data, inputting the hypergraph structure data into an optimized hypergraph neural network, mining high-order correlation and dynamic change characteristics among parameters, and clustering environment states through a swarm intelligence optimization strategy. A multi-dimensional environmental data regulation and control model is constructed based on the information, a parameter regulation and control target interval is set in combination with livestock and poultry growth requirements, a hypergraph network search strategy is regulated and controlled after deviation is calculated, equipment is driven to adjust environmental parameters, and closed-loop feedback is formed. According to the method, the hypergraph neural network and the swarm intelligence technology are utilized, the complex relation of the environmental parameters is accurately analyzed, the growth requirements of livestock and poultry are dynamically met, efficient self-optimization regulation and control of the environmental parameters of the livestock and poultry house are achieved, and the breeding environment quality and the production benefits are improved.

The invention discloses a river and lake sediment environment quality background value determination and evaluation method, and belongs to the technical field of environment pollution evaluation. Collecting soil of a river and lake to be evaluated or a river and lake buffer zone in the same watershed for analysis to obtain control group data, and taking the control group data as a background reference value; selecting an evaluation point location from the river and lake to be evaluated, collecting sediments and benthonic animals of the evaluation point location, analyzing species composition of the sediments and the benthonic animals to obtain detection group data, and taking the detection group data as an evaluation value; comparing the evaluation value with a background reference value to obtain a pollution value; setting a score assignment standard to assign scores to the pollution value and the benthonic animal diversity, and calculating the score of the evaluation value through a score assignment result; and constructing a river and lake sediment environment quality evaluation index according to the score, and determining the river and lake sediment environment quality condition based on the river and lake sediment environment quality evaluation index. Therefore, the river and lake sediment environment quality condition is comprehensively reflected by improving the accuracy of the background reference and establishing a multi-dimensional index system.

The invention discloses an underground water environment quality data management method based on a grading evaluation model, and relates to the technical field of data processing, and the method comprises the steps: obtaining an underground water environment region and a plurality of to-be-monitored sub-regions; acquiring environment quality data, and acquiring a water quality factor based on the grading evaluation model and the environment quality data; obtaining a circulation region area, and obtaining the contribution degree of each to-be-monitored sub-region based on the grading evaluation model and the circulation region area; and based on a grading evaluation model, the water quality factors of the to-be-monitored sub-regions and the contribution degrees of the to-be-monitored sub-regions, obtaining comprehensive water quality indexes of the to-be-monitored sub-regions, arranging and forming an underground water environment quality sequence, and obtaining a treatment strategy of the underground water environment region according to the underground water environment quality sequence. The invention further provides an underground water environment quality data management system based on the grading evaluation model. The method has the advantages of being accurate, reliable, comprehensive and dynamic in adjustment.

In a method of multi-modal multi-task environmental quality forecasting, multi-modal data associated with a plurality of environmental input features is received. A neural sub-network of a plurality of neural sub-networks is applied to each modality of the multi-mode data associated with each environmental input feature of the plurality of environmental input features. A neural network is applied to outputs of each of the plurality of neural sub-networks, wherein the neural network includes a trained model for forecasting the plurality of environmental qualities. An environmental quality forecast is output for the plurality of environmental qualities.

The invention relates to the technical field of environment control, in particular to an automatic control method and system for the environment in a breeding house, and the method comprises the following steps: collecting a temperature value, a humidity value, a carbon dioxide concentration value, a power consumption value, a water resource consumption value and a feed consumption value through a sensor in the breeding house, and carrying out the noise filtering treatment; and executing data normalization processing to obtain pre-processed data. According to the method, the difference between the index and the target value is calculated, and the multi-objective optimization function is combined, so that accurate adjustment of the control parameters is realized. Therefore, key indexes such as temperature, humidity, carbon dioxide level and energy consumption are continuously monitored, equipment operation parameters are optimized, and energy efficiency and environment quality are improved. Particularly, due to real-time identification and adjustment of high-energy-consumption equipment, energy waste is reduced, the stability of the breeding environment is ensured, potential risks caused by environment fluctuation are reduced, and the breeding efficiency is improved.

The invention discloses a marine sand excavation monitoring system and method which are used for solving the problems that an existing marine sand excavation monitoring system is insufficient in monitoring precision and insufficient in environmental change early warning. Comprising a monitoring acquisition module, an environment monitoring analysis module, a precision monitoring analysis module and an execution module. According to the method, environmental factors and the precision of sand excavation equipment are monitored and analyzed in real time, the influence of sand excavation activities on the environment is effectively evaluated, the environmental quality influence coefficient and the environmental state influence coefficient are calculated, adjustment is conducted in combination with dynamic environmental data, environmental changes are found in time, and the negative influence of sand excavation on the ecological environment is reduced; the precision deviation of the equipment is automatically analyzed through a precision monitoring and correction module, and dynamic correction is performed according to a correlation analysis result, so that the equipment always runs in a high-precision range; the accurate control mode optimizes the sand excavation process, improves the sand excavation efficiency and the resource utilization rate, and meanwhile reduces operation errors and environment disturbance.

The invention relates to the technical field of aquaculture, and particularly discloses paracoccus pantotrophus P.p-O8 and application of the paracoccus pantotrophus P.p-O8, the paracoccus pantotrophus P.p-O8 is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number of the paracoccus pantotrophus P.p-O8 is CGMCC NO.26522. The invention relates to a microbial inoculum prepared from paracoccus pantotrophus P.p-O8. The method has a huge application prospect in improving the quality of aquaculture water and repairing the polluted sediments in the cage culture area, improves the water environment quality and the survival conditions of aquaculture organisms, repairs the eutrophicated polluted ecological environment, and has high environmental protection value and economic benefit.

The invention discloses an aquaculture non-point source pollution treatment method based on ecological-hydraulic engineering, which comprises the following steps: acquiring water quality monitoring basic data of a target aquaculture area, inputting the water quality monitoring basic data into an ecological simulation environment matched with an ecological-hydraulic engineering fishpond, and generating a plurality of ecological purification schemes, constructing an environmental fluid dynamic model corresponding to the ecological-water conservancy project fishpond by taking the lowest waterlogging risk, the least fresh water supply, the maximum water quality index improvement and the lowest bioremediation cost as constraint conditions, and inputting each ecological purification scheme into the constructed environmental fluid dynamic model one by one to obtain an optimal ecological purification scheme. A control strategy corresponding to the optimal ecological purification scheme is executed, and the control strategy at least comprises an ecological restoration strategy and a water conservancy control strategy. According to the method, the water environment quality of the target culture area can be remarkably improved, the waterlogging risk is reduced, and recovery and balance of an ecological system are promoted.

The invention discloses a regional ecological environment quality evaluation method based on neighborhood granular fuzzy c-means clustering, and belongs to the technical field of electrical digital data processing, and the method comprises the steps: calculating and reconstructing a remote sensing time sequence MODIS data set based on a cloud platform, standardizing ecological factors, dividing ecological factor remote sensing images into n categories based on neighborhood granular fuzzy c-means clustering, and obtaining a comprehensive remote sensing ecological index PRSEI based on the MODIS by using an improved entropy weight method, and obtaining mining area ecological environment quality changes in year intervals according to the PRSEI of the research area. According to the method, the entropy weight method and the neighborhood fuzzy c-means clustering algorithm are effectively fused, all remote sensing pixel information of all ecological factors is reserved, the process is clear, and complex system problems such as remote sensing ecology and the like can be better analyzed and solved.

The invention relates to a method for evaluating the radiation dose of special public nearby a nuclear facility, and the method comprises the steps: estimating the concentration distribution of radionuclides in air, surface soil and a biological medium nearby the nuclear facility through collecting the radiation dose evaluation parameters of a target special public and combining an environment quality evaluation model; based on the data, the annual effective dose of the target special public at the nuclear facility boundary and the living quarter is calculated, and a plurality of ways such as inhalation internal irradiation, air immersion external irradiation, surface deposition external irradiation and ingestion internal irradiation are considered. In addition, a dynamic calculation method is also introduced, especially for the influence of year-by-year change of the cumulant of radionuclides deposited on the earth surface, factors such as decay, resuspension and infiltration into underground water of nuclides are fully considered, and the accuracy and foresight of evaluation are improved. Accurate and comprehensive technical support is provided for radiation protection of the special public around the nuclear facility, and the requirements of the nuclear facility public for dose monitoring and risk management are met.

The invention discloses a human settlement environment quality evaluation method based on urban public service and ecological system service, and relates to the field of ecological environment evaluation, and the method comprises the steps: determining an evaluation region, and obtaining the natural, economic and remote sensing data of a year to be evaluated in the evaluation region; performing quantitative evaluation on the ecosystem service of the evaluation area from rainfall flood adjustment, heat island effect relief, air purification and park recreation in the ecosystem service; performing quantitative evaluation on the urban public service of the evaluation area from medical security, basic education and public culture in the urban public service; and carrying out weight superposition calculation on the score of each evaluation factor in the ecological system service and the urban public service to obtain a human settlement environment quality comprehensive score of the evaluation area. According to the method, human settlement environment quality evaluation can be carried out scientifically and comprehensively with resident demands as the core, and a direction is pointed out for city space optimization.

The invention discloses a water environment quality assessment method, system, device and program. The method comprises the following steps: acquiring an observation value of data of a water area to be detected; calculating the irregularity index of organisms in the water area according to the observed value of the water area data; calculating an influence transfer coefficient between any two sampling points of the water area through the observation value of the water area data; and inputting the irregularity index of the organisms in the water area and the influence transfer coefficient into a decision tree model, and outputting the health rating of the water area by the decision tree model. According to the treatment scheme disclosed by the invention, after the water environment is changed, warning can be timely and accurately performed in a grading manner, corresponding measures can be timely taken, and the diffusion of pollutants and the loss of property are avoided.

The invention discloses an intelligent property management system based on an Internet of Things platform, and relates to the technical field of property management. According to the invention, through presetting the environment assessment time interval, the environment influence parameter of each public area is analyzed to obtain the environment assessment index, and the environment condition is converted into a visual numerical index, so that property management personnel can quickly judge the quality of the area environment; meanwhile, by setting a reference threshold index, the abnormal public area can be rapidly screened out, visualization and precision of environment management are achieved, a property manager has a basis during environment management decision making, once the property manager finds the abnormal public area, air purification equipment is immediately started, the evaluation effect is continuously monitored, and if the purification measure effect is not good, the property manager can immediately start the air purification equipment. The condition of the air purification equipment is further analyzed, maintenance personnel are accurately dispatched or property management personnel are notified, a closed-loop management mechanism of active response, continuous monitoring and optimization adjustment is formed, and continuous and good environmental quality of a public area is effectively guaranteed.

The invention provides a chromium geochemical background value quantitative characterization method, and belongs to the technical field of environmental quality evaluation. S1, determining source data of a fitting equation; based on abundance data of rocks, soil and sediments, selecting data which can be regarded as a background area sample and contains main oxides and chromium content, and recording 791 records in total; s2, on the basis of the 791 pieces of abundance data, calculating a weathering index WIG and a newly constructed element ratio parameter, and fitting an equation representing a chromium geochemical background value by adopting a piecewise function and a nonlinear multiple regression technology; during equation fitting, the error standard is set to be within the content logarithmic difference + / -0.2, and the sample within the error is required to be about 95% or above; and S3, fitting the obtained chromium geochemical background value quantitative characterization equation. According to the method, the defects of a traditional method and a current empirical equation method can be overcome, and an objective and reliable geochemical background value is provided for environment quality evaluation of chromium and mineral resource exploration.

The invention discloses a natural resource environment quality comprehensive evaluation method and system based on spatial distribution, and relates to the technical field of environment evaluation. The evaluation method comprises the steps of S1, determining an evaluation target and an evaluation range, S2, collecting and processing data, S3, constructing an evaluation index system, S4, implementing comprehensive evaluation, S5, establishing a dynamic weight adjustment mechanism, and S6, analyzing a result and formulating a strategy. The method is technically characterized in that a related mechanism of weight adjustment triggered by abnormal indexes is established, on one hand, the recognition and feedback capability of key problems is enhanced, and on the other hand, conversion of an evaluation system from static evaluation to dynamic response is promoted, so that the problems that traditional evaluation results are lagged and ecological environment changes cannot be reflected in time are solved, and the evaluation efficiency is improved. According to the method, the closed-loop regulation and control capability of dynamic adjustment and optimization is embodied, after a primary weight correction action is carried out, when a certain index deviates from a normal threshold value, a secondary weight correction program is automatically started, and the system weight of a criterion layer where the index is located is improved.

The embodiment of the invention provides an environment quality evaluation method based on a three-dimensional grid, and is applied to the technical field of environment quality evaluation and monitoring. The method comprises the following steps: acquiring an atmospheric environment measured data sequence of a target grid at the current moment; calculating an air quality index at the current moment according to the measured data sequence of the atmospheric environment at the current moment; determining an environment quality state at the current moment according to the air quality index at the current moment; comparing the environment quality state at the current moment with the environment quality probability sequence at the current moment; the environment quality probability sequence at the current moment is obtained by carrying out environment quality probability prediction according to the environment quality state at the previous moment and diffusion influence data of the target grid; and if the environment quality state at the current moment falls into the maximum probability range in the environment quality probability sequence at the current moment, predicting the environment quality probability sequence at the next moment according to the environment quality probability sequence at the current moment. In this way, the accuracy of environment quality assessment can be improved.