125 results about "Environmental quality" patented technology

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 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 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 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 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 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 invention discloses a cross-medium composite ecological environment problem identification and diagnosis technology system construction method, which comprises the following steps of S1, preprocessing cross-medium multi-source heterogeneous basic data, and constructing to obtain a multi-source heterogeneous data set; s2, constructing a multi-medium environment quality and driving factor index library based on the multi-source heterogeneous data set; s3, single-medium factor-quality response relation models of the atmosphere, the water body, the soil and the solid waste are constructed respectively, and key driving factors for single-medium quality indexes are identified; s4, constructing a cross-medium response network according to the same environment quality index or the key driving factor index, performing driving factor contribution rate analysis, and identifying and diagnosing a cross-medium ecological environment problem; s5, verifying the accuracy of the ecological environment problem identification and diagnosis; according to the method, differentiated single-medium traceability technology islands of different scales and different fields are broken through, and the cross-medium composite ecological environment problem can be effectively identified and diagnosed.

The invention relates to the technical field of environmental protection and monitoring, and discloses an arid region oasis water environment ecological safety early warning method, which comprises the following steps: step 1, constructing a sky-air-land-water three-dimensional monitoring network, the monitoring network comprises a satellite remote sensing monitoring subsystem, an unmanned aerial vehicle remote sensing monitoring subsystem, a ground sensor monitoring subsystem and an underwater monitoring subsystem, and the monitoring network is used for acquiring multi-scale and multi-element water environment ecological data; step 2, establishing an ecological safety evaluation index system of the oasis water environment in the arid region, the evaluation system including four first-level indexes of hydrology and water resource dimension, water environment quality dimension, ecological health dimension and social economy dimension, and setting a plurality of quantifiable second-level indexes under each first-level index. A combined prediction model in which a Markov chain and a long-short-term memory neural network are coupled is adopted, and a system dynamics scene simulation method is combined, so that the perspectiveness and scene adaptability of the early warning method are effectively enhanced.

The invention relates to a digital twin construction method and system of a terrestrial ecosystem, and the method comprises the steps: obtaining animal and plant information and environment quality evaluation conditions according to biological and environmental data collected in an ecological protection area; processing animal and plant information, an environment quality evaluation condition, a biological feature vector generated based on biological data, an environment feature vector generated based on environment data and a comprehensive feature vector generated by fusing the two types of vectors based on the evaluation large model to obtain an ecological system service function evaluation result; generating a comprehensive characteristic matrix based on animal and plant information, environment quality evaluation conditions and ecological system service function evaluation results, and performing deep learning on the comprehensive characteristic matrix to construct a digital twinborn engine; and after a digital twinborn large model is constructed based on the digital twinborn engine and the model static substrate information, in response to real-time data input into the digital twinborn large model, rendering a linkage state of species, environment and ecosystem service functions on a visual interface.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention discloses a flood season water environment quality monitoring system based on wireless communication, and relates to the technical field of water environment monitoring, the system comprises the following components: a data acquisition and transmission module, an intelligent early warning module, a traceability analysis module and a decision support module; the flood season water environment quality monitoring system integrates a data acquisition and transmission module, an intelligent early warning module, a traceability analysis module and a decision support module, realizes comprehensive and real-time monitoring of flood season water environment quality, and can rapidly capture water quality changes and timely send early warning information by means of a high-precision (high-resolution) water quality monitoring sensor and an advanced wireless communication technology, thereby realizing the purpose of flood season water environment quality monitoring. And the pollution source is accurately traced, and scientific treatment decisions are provided for related departments, so that the water environment quality monitoring efficiency and accuracy are greatly improved, effective prevention and control measures can be taken in time, water quality deterioration is prevented, and the safety of water resources is protected.

The invention discloses a river ecological environment quality evaluation and degradation diagnosis method, and relates to the technical field of ecological environment. Comprising the steps of establishing a river ecological environment quality evaluation system; arranging river ecological environment quality monitoring points, determining monitoring frequency and monitoring time, and collecting monitoring point data; analyzing and processing the collected monitoring point data; the river ecological environment quality is evaluated according to the analyzed and processed data, and an evaluation result is obtained; according to the evaluation result, identifying an ecological environment quality degradation river reach, performing diagnostic analysis on the ecological environment quality degradation river reach, identifying a pressure source causing ecological environment quality degradation, and obtaining a diagnostic result; and generating a river ecological restoration and protection management scheme according to the diagnosis result. According to the method, physical, chemical and biological multi-dimensional indexes are integrated, the river ecological environment quality can be objectively evaluated, the degeneration reason of the river ecological environment can be diagnosed, and a scientific basis is provided for river ecological protection, restoration and management.

The invention relates to the technical field of environmental governance, in particular to an environmental responsibility division method and system for a major project, and the method comprises the steps: obtaining the behavior data of each participant of the major project and the environmental monitoring data of a to-be-divided region; performing association integration on the behavior data and the environment monitoring data to obtain an initial data set; and constructing a multi-element driving effect model, identifying driving factors influencing the environmental quality based on the initial data set, inputting the driving factors into the multi-element driving effect model for correlation analysis, and calculating the contribution degree of each driving factor to the environmental influence to obtain a driving contribution matrix. According to the method, through division of the full life cycle stages and tracking of the behavior change trend, it is ensured that the environmental influence of each stage of the engineering project is comprehensively analyzed, key nodes and risk points of each stage can be determined, and a basis is provided for formulating environmental protection measures and responsibility undertaking schemes.

This invention relates to the technical field and proposes a method, system, and medium for collecting livestock farming environmental data. The method includes: analyzing the impact of other dimensions of environmental data in a periodic multidimensional environmental data sequence on changes in ammonia and carbon dioxide concentrations in the monitored area to obtain the degree of manure fermentation impact in the monitored area at the current moment; obtaining the manure impact attention level in the monitored area at the current moment based on the degree of manure fermentation impact and the degree of manure accumulation; assigning attention weights to different monitored areas based on the environmental quality attention level, animal quantity, and total weight to obtain the comprehensive environmental quality attention level at the current moment; obtaining the collection frequency adjustment coefficient for the next cycle in the farm based on the comprehensive environmental quality attention level; and adaptively adjusting the collection frequency of environmental data in the farm for the next cycle based on the collection frequency adjustment coefficient. This invention improves the efficiency and effectiveness of livestock farming environmental data collection.

The invention belongs to the field of environment monitoring, and particularly relates to an environment monitoring method and system based on a large model, and the method comprises the steps: S1, collecting multi-source data which comprises environment monitoring data, geographic and spatio-temporal data and priori knowledge data; s2, carrying out preprocessing and non-uniform data interpolation on the multi-source data, and generating time-space aligned gridding feature data; a space-time attention mechanism is utilized to extract space-time correlation features from the gridding feature data, a pre-constructed environment knowledge graph is fused to perform knowledge enhancement, the features after knowledge enhancement are reused through a residual network, and depth features are output; dynamically adjusting the weight of the prediction layer based on the real-time monitoring data, and outputting an environment index prediction result of the target region in a future time period; and S3, generating an environment quality grade and early warning information according to an environment index prediction result, and generating a pollution cause traceability report based on a feature contribution degree analysis result. The problems of low prediction precision, poor interpretability and weak dynamic adaptability in environmental monitoring are solved.

The application discloses a water quality and soil detection and analysis method and system based on multi-standard automatic evaluation and belongs to the technical field of environmental monitoring data processing. The system comprises a data import module, an intelligent identification module, a batch sample processing module, a multi-standard evaluation module, a comprehensive analysis module, a water chemistry verification module and a result output module. The system automatically analyzes the Excel table structure through an intelligent identification algorithm, extracts index names, units, detection results and background values, supports batch sample format identification, can analyze multiple samples at a time, integrates three environmental quality standards of underground water GB / T 14848-2017, surface water GB 3838-2002 and soil GB 36600-2018, automatically performs quality classification evaluation, calculates single pollution index P i , exceeding multiple, Nemerow comprehensive pollution index P N , performs water chemistry anion and cation balance verification, Shukarev classification, TDS and hardness checking, and supports single sample and batch sample export and summary table generation. The application solves the problems of weak Excel data recognition ability, batch sample processing difficulty, lack of multi-standard automatic switching, single comprehensive evaluation method and insufficient data quality checking in the prior art, and greatly improves the efficiency and accuracy of detection data analysis.

This invention belongs to the field of coastal engineering and ecological restoration technology. It discloses a method for optimizing the design of beach ecological restoration trenches based on hydrodynamic simulation. The method includes: collecting beach hydrological datasets, topographic datasets, and ecological datasets, and preprocessing them. The hydrological dataset includes wave data, tidal current data, storm surge data, and sediment transport data. The topographic dataset includes shoreline slope, beach elevation, underwater topography data, and sediment source storage data. The ecological dataset includes tidal flat vegetation distribution, benthic organism density, ecologically sensitive area range, and water environment quality data. This invention, through the coupled processing of hydrological, topographic, and ecological multi-source datasets, obtains hydraulic reference values ​​and topographic adaptation values ​​for the trench, directly reflecting the regional dynamic conditions and the degree of topographic adaptation, significantly reducing the workload of manual calculation and trial and error.

The invention relates to the technical field of environmental protection monitoring, in particular to an Internet of Things environmental protection monitoring system, which comprises a data acquisition module for dividing a monitoring area into a plurality of sub-areas according to environmental conditions, and monitoring air quality of key areas in the sub-areas by using sensors; the environmental condition evaluation module is used for constructing a pollutant concentration model according to the pollutant concentration data collected by the data collection module and evaluating the environmental condition of each sub-region; the risk assessment module is used for receiving the data transmitted by the cloud platform, constructing a factor state set and generating a risk coefficient set of each factor according to the factor state set; and the priority treatment module is used for evaluating the degree of each pollutant exceeding the safety standard according to the environmental quality evaluation result of the sub-region in combination with the risk coefficient, and providing a treatment priority for treating the environment of the sub-region. And through calculation of the risk coefficient and evaluation of the priority, resources can be reasonably allocated and treated, and the most concerned problems are preferentially solved.

The invention relates to the technical field of environment monitoring and big data analysis, and discloses a soil environment quality evaluation method based on big data. The method comprises the following steps: fusing measured data of soil heavy metals with multi-source heterogeneous data such as remote sensing, terrain, land utilization, hydrogeology and the like; a space-attribute joint constraint depth generation network is constructed, an encoder of the space-attribute joint constraint depth generation network extracts multi-scale features, an attribute physical constraint module is embedded into a convection-dispersion equation to model a heavy metal migration mechanism, and a decoder outputs a high-fidelity concentration field; and dividing four pollution risk grades according to national standards, and generating an evaluation diagram. Through data driving and physical mechanism collaborative modeling, the pollution boundary depicting precision is improved, the prediction error under the low sampling density is reduced compared with a traditional method, the recall rate of a high-risk area is increased, and reliable support is provided for precise soil treatment.

The application provides a construction method of a natural river channel and overbank wetland, comprising the following steps: S1: constructing a natural river channel and three-stage overbank in a riverbed according to historical daily flow statistical characteristics, so as to adapt to river channel flow characteristics under different rainfall scenarios; and S2: constructing overbank wetlands with different characteristics according to selected overbank types. The application relies on overbank wetlands to comprehensively improve the ecological service function of the river channel; in a non-rainfall scenario, the service functions of landscape, soil conservation, wind prevention and sand fixation are realized; and in a rainfall scenario, the service functions of reducing non-point source pollution, storing flood, and improving water environmental quality are mainly played.

The invention discloses a water quality stable standard reaching dynamic evaluation method based on multi-dimensional index fusion, and relates to the field of water environment quality evaluation, and the method comprises the following steps: 1, determining an evaluation index; step 2, calculating a single factor SCI of each index; step 3, standardizing a single factor SCI; step 4, carrying out weight distribution according to actual conditions; and 5, performing comprehensive calculation and evaluation. Compared with the prior art, by adopting the technical scheme of the invention, multi-dimensional water quality characteristics are integrated, scientific and accurate water quality standard reaching state judgment is realized, and water environment management is supported to be converted from extensive to refined.

The invention relates to an AI-assisted multi-index environment quality monitoring method and system, and relates to the technical field of environment monitoring, and the method comprises the steps: receiving an environment monitoring task, decoupling the task into a task field sequence, and constructing a dynamic monitoring topology network; writing into a programmable gate, establishing a meta-cognitive engine and coupling a plurality of PGA threads, and generating an intelligent gain module constructed by a programmable gain amplifier; and performing round robin monitoring according to a task field sequence to monitor combination, target PGA thread and gain value management, reconstructing a lower node topology network and adjusting gain by using a real-time environment impedance spectrum, and finally obtaining an environment quality state. The technical problems of single index coverage, hardware adaptation stiffness and data response lag in traditional environment monitoring are solved, and the technical effect of multi-dimensional, high-precision and self-adaptive environment quality monitoring is achieved.

The invention discloses a pixel scale water environment safety assessment method based on a non-point source water body pollution risk, and belongs to the technical field of environmental protection. According to the method, through an agricultural non-point source pollution direct evaluation method, the pollution risk of terrestrial agricultural non-point source output to surface water is accurately quantified, a DPeRS model is introduced, quantitative evaluation of the remote sensing pixel scale agricultural non-point source river entering amount is achieved, and the pixel scale agricultural non-point source river entering concentration is quantified as a non-point source pollution risk evaluation index in combination with an SWAT model. With surface water environment quality improvement as a target, an agricultural non-point source pollution in-water risk grade threshold value is determined based on a nitrogen and phosphorus concentration limit value in a surface water environment quality standard and a national secondary pollution general survey agricultural non-point source proportion, and a pixel scale agricultural non-point source in-water pollution risk prominent area is rapidly screened. High-precision target positioning of remote sensing pixel scale agricultural non-point source pollution is realized, and source-targeted agricultural non-point source pollution precise prevention and control and agricultural non-point source pollution treatment effect evaluation are facilitated.

The utility model relates to ecological environment quality monitoring technical field, proposes a kind of monitoring ecological environment quality remote sensing monitoring device, including first support rod, the inside rotation of first support rod is provided with connecting plate, the top of connecting plate is fixedly provided with adjusting rod, the outside of adjusting rod is fixedly provided with limit plate, and limit plate is at the top of first support rod, the inside of adjusting rod is fixedly provided with multiple fixed rods, the top of adjusting rod is connected with second support rod, the inside of second support rod is fixedly provided with inserting post, when installing ecological environment monitoring main part, first support rod is fixedly installed in suitable position by fixed plate, second support rod is installed in the top of adjusting rod, the fixed rod in the inside of adjusting rod and the outside of inserting post are buckled, to connect second support rod with adjusting rod, it is convenient to dismount second support rod, to facilitate the disassembly and repair of ecological environment monitoring main part, angle adjustment is carried out to second support rod by rotating adjusting rod simultaneously.

The invention relates to the technical field of remote sensing and geographic information, and discloses a method for identifying the influence of mining intensity on a mining industry urban society-ecosystem, which comprises the following steps: extracting year-by-year mining industry activity land vector data of a mining industry centralized development area, and establishing a space density field model; noctilucent remote sensing data and GDP statistical data are fused, and a social economic development index is constructed; integrating four key ecological factors of greenness, humidity, dryness and heat, and constructing comprehensive indexes for evaluating the regional ecological environment quality; constructing a mining city society-ecosystem analysis framework to systematically quantify an interaction relationship between social economy and ecological environment components; and analyzing the influence of the mining strength index on the interaction relationship by adopting a panel quantile regression model. According to the method, quantitative evaluation of the social-ecological system interaction relationship is realized, and the threshold feature of the influence of the mining intensity index on the system is revealed.

This application discloses a method for determining the threshold of watershed ecological environment quality based on the PSR model, belonging to the field of watershed ecological assessment technology; it includes: determining the evaluation index items of the target watershed; arranging and combining all possible score values ​​of each index to obtain all score combinations; calculating the comprehensive score of each combination to generate a full sample space; performing fuzzy clustering on the full sample space, iteratively determining the membership degree and cluster center value of each sample to multiple preset cluster categories; sorting the cluster center values ​​of each cluster category in ascending order to form multiple health levels; classifying each sample to the cluster category with the largest membership degree based on the principle of maximum membership degree to obtain the sample set corresponding to each health level; fitting continuous distribution density curves to the sample sets of each health level, and determining the intersection of the distribution density curves of adjacent health levels as the critical threshold between adjacent health levels; and determining the health level of the target watershed based on each critical threshold.

The application 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 the downward trend of soil permeability characteristics and estimating the uncertainty range of runoff coefficient; using a regional source-sink pollution model, obtaining source model data according to the uncertainty range of runoff coefficient; using a one-dimensional river network model, obtaining error information and outputting prediction data according to the source model data; and determining the prediction deviation mode by comparing the prediction data and real-time monitoring data and correcting the parameters of all related models in the whole model chain. The method aims to solve the technical problem that the prediction of the river network model deviates from the actual measurement data in a nonlinear manner in a three-model coupling system, which ultimately leads to the inconsistency between the permitted discharge amount set based on the system and the actual water body absorption capacity, and to realize the accurate analysis of the response relationship between the urban pollution load and the water environment quality and the real-time and self-adaptive adjustment of the permitted discharge amount.

The invention discloses an ecological environment quality evaluation method, system and device, and relates to the technical field of ecological protection, and the method comprises the steps: obtaining Sentinel-2A remote sensing data, landscape pattern indexes and various remote sensing ecological indexes of a to-be-detected region; classifying the Sentinel-2A remote sensing data by adopting a random forest supervised classification method, and determining a classification result of land utilization; based on the classification result of land utilization, constructing a land utilization transfer matrix, and obtaining land utilization change data through the land utilization transfer matrix; and according to the multiple types of remote sensing ecological indexes, constructing an ecological environment quality index RESI model, obtaining an initial ecological environment quality index RESI, adjusting the initial ecological environment quality index RESI through the land utilization change data and the landscape pattern index, and obtaining an ecological environment quality evaluation result of the to-be-detected area.