38 results about "Surface water quality" patented technology

The embodiment of the invention discloses a water resource quality detection method and device applied to a water diversion project and electronic equipment. A specific implementation mode of the method comprises the following steps: performing water quality detection on a water area where a water diversion project is located to obtain an earth surface water quality data set and an underground water quality data set; constructing an earth surface data structure network according to a pre-constructed water area simulation model and an earth surface water quality data set; constructing an underground data structure network; performing water pollution detection on the water area to generate an earth surface water quality detection result set and an underground water quality detection result set; performing correlation analysis on the surface water resources and the underground water resources of the water area to generate water pollution correlation characteristics; determining a surface water pollution area and an underground water pollution area of the water area; and determining the surface water quality detection result set, the underground water quality detection result set, the surface water pollution area, the underground water pollution area and the water pollution correlation characteristics as water resource quality detection results. According to the embodiment, the accuracy of the water area overall quality detection result can be improved.

The invention relates to the technical field of surface water quality evaluation, in particular to a water quality sampling and evaluating method and device, electronic equipment and a storage medium. Secondly, for each section, constructing a detection data matrix by using a plurality of corresponding detection data vectors according to a time node sequence, and performing dimension transformation on the detection data matrix to obtain section vectors; finding a plurality of similar vectors from the plurality of water quality classes according to each section vector, and constructing the plurality of similar vectors into a reference vector group; and finally, determining the water quality grade of each section according to the reference vector group, and determining the water quality grade of the water body according to the water quality grades of the plurality of sections. According to the method, detection data of a plurality of detection items, a plurality of time nodes and a plurality of sections of the water body are integrated, the water quality of the water body is reflected objectively, few samples are needed, the construction process is simple, and the output result is more accurate and reliable.

The invention discloses an offshore water quality multi-parameter monthly dynamic monitoring method based on a remote sensing image and a random forest algorithm, which is used in the field of offshore water quality remote sensing monitoring research, and comprises the following steps: obtaining hydrometric station data and remote sensing image data of a monitoring area, and sequentially carrying out preprocessing and space-time fusion matching operation, obtaining a month-by-month water quality data set; constructing a monthly water quality monitoring model based on a random forest algorithm; training a monthly water quality monitoring model by using the monthly water quality data set to obtain a monthly water quality monitoring inversion model; and performing inversion on the remote sensing satellite image of each month by using the monthly water quality monitoring inversion model to obtain a water quality inversion spatial distribution diagram of each month. According to the method, long-time sequence, revisit, large-range and efficient dynamic monitoring can be realized, the prediction precision is high, the generalization ability is strong, and a business unit can be served to carry out related businesses such as monthly surface water quality drawing, monitoring and evaluation.

The invention relates to the technical field of water quality detection, in particular to a rapid surface water quality detection device and method.The rapid surface water quality detection device comprises a shell, a water storage container, a detection container, a water pumping pipe, a first water pumping part, a three-way adjusting valve and a second water pumping part, the three-way adjusting valve is inserted into the shell, one end of the three-way adjusting valve penetrates through the water storage container, and the other end of the three-way adjusting valve penetrates through the detection container; and the other two ends are respectively communicated with the two ends of the water pumping pipe, which are positioned on the outer side of the water storage container, and are opposite in opening degree. In the use process, the three-way regulating valve is determined to be in a closed / opened state according to whether the temperature of the surface water is within the measurement range of the water quality detection sensor and whether the surface water needs to be diluted; according to the temperature difference between the surface water and the pure water in the water storage container, the opening degree of the communicating position of the three-way regulating valve and the water pumping pipe located at the water outlet end of the outer side of the water storage container is determined, so that the treatment mode can be reasonably selected according to the condition of the surface water, the operation is simple, and the detection efficiency is high.

The invention discloses a surface water resource quality dynamic prediction and early warning method. The method comprises the following steps: step 1, water quality prediction and early warning index selection; 2, classifying water quality prediction and early warning indexes; 3, dynamically predicting A-class water quality prediction and early warning indexes; 4, dynamically predicting B-type water quality prediction and early warning indexes; and 5, determining a water quality comprehensive early warning grade. According to the invention, by integrating multi-dimensional information, key water quality indexes for prediction and early warning aiming at different evaluation sections are screened out, differentiated early warning thresholds and grades aiming at different types of water quality prediction and early warning indexes are set, a modeling scheme of classified implementation is put forward, a model parameter dynamic optimization mechanism of rolling correction is established, and the accuracy of early warning is improved. A comprehensive water quality dynamic prediction and early warning method system is formed, and the core problems of poor pertinence, poor timeliness and insufficient adaptability in current surface water quality prediction and early warning are solved. And an important supporting effect is achieved on reasonable utilization and optimal configuration of water resources.

The application discloses a surface water quality prediction method based on a self-attention mechanism coupled KAN network, and steps include: S1, integrating multi-source heterogeneous water environment data of a target basin, pre-processing and multi-granularity feature engineering are performed, and a three-dimensional space-time feature tensor is constructed; S2, a composite base function library is constructed, and an optimized base function set is obtained through double sparse screening; S3, the feature tensor is divided according to three feature channels, a space-time attention network is constructed, and a global attention weight matrix is calculated; S4, the base function set and the weight matrix are fused, a KAN network is constructed and is sparsified, and an Att-KAN coupled model is formed; S5, a multi-objective loss function is established, and the coupled model is optimized and trained in stages; S6, water quality space-time prediction is completed by inputting pre-processed target data, and attribution analysis and uncertainty evaluation are carried out. The application adopts the above method, fuses the advantages of the self-attention network and the KAN network, and realizes the unity of water quality prediction precision and model transparency.

The invention relates to the technical field of surface water supervision, in particular to a water quality monitoring management platform which comprises a monitoring network and a management module. The monitoring network comprises shooting equipment deployed at each water recession path node, and planktons sensitive to pollutant response are arranged on the water recession path nodes; the monitoring network is used for acquiring plankton characteristic data on the corresponding water recession path nodes through the shooting devices; and the management module is used for outputting a pollution diffusion path probability graph according to the plankton characteristic data, generating a water quality management scheme according to the pollution diffusion path probability graph, and realizing real-time monitoring and accurate management of the surface water quality.

This application discloses a water quality assessment method and apparatus based on the quantitative grading of non-quantitative environmental pollution indicators. The method includes: screening surface water quality indicators and classifying them into direct and indirect water quality indicators; determining the assessment section and assessment period, and obtaining raw water quality concentration data for different times and sections within the assessment period; screening a predetermined number of direct water quality indicators related to indirect water quality indicators; performing PLSR regression and calculating the regression quantitative grading standard for each indirect water quality indicator; standardizing the raw detection data, the national grading standard for direct water quality indicators, and the regression quantitative grading standard for indirect water quality indicators into dimensionless values; performing PCA analysis according to the assessment period and assessment section to determine the achieved water quality environmental functional zone category; and obtaining typical water quality indicators for the section based on the PCA analysis. This method and apparatus can comprehensively consider the relationship between quantitative and non-quantitative environmental pollution indicators and the contribution of indirect indicators, making the assessment results more comprehensive and objective.

The invention discloses a self-lifting surface water sampling system and method, which are used for solving the problems of inaccurate sampling depth control and easy interference in the environments of large surge peak valley change and fast water flow rate in the existing sampling technology. Comprising the steps that the water depth is monitored in real time through a liquid level sensor on a sampling probe, and a controller dynamically controls an electric winch to collect and release a sampling cable according to the deviation between an actually measured sampling probe depth value and a preset sampling depth value, so that the probe is stabilized at the preset water depth; after the sampling depth is stable, water sample collection and water quality monitoring are performed. The system comprises a self-lifting control module, a sampling probe module, a composite cable type composite sampling pipe and a power supply communication module, wherein the self-lifting control module comprises an electric capstan, a liquid level sensor and a controller, and the sampling probe module is integrated with a surface water quality conventional five-parameter sensor module including PH, water temperature, turbidity, conductivity and dissolved oxygen. Through closed-loop feedback control, surge fluctuation and impact of high water flow speed are actively resisted, and high-precision fixed-depth sampling is ensured to be realized under complex hydrological conditions.

The invention discloses a surface reflectance and temperature fused water quality inversion method in the technical field of water environment remote sensing. The method comprises the following steps: acquiring a remote sensing image of a monitoring station within a space-time range of measured data of surface water; performing preprocessing such as atmospheric correction on the remote sensing image, extracting index data such as reflectivity and surface temperature, and establishing a basic data set of water quality remote sensing inversion; data cleaning and space-time matching are carried out on actually measured and remote sensing data, and correlation verification is carried out on remote sensing surface temperature data and actually measured water temperature data of a monitoring station; constructing a surface water environment quality inversion model and verifying the surface water environment quality inversion model based on data such as actually measured water quality indexes, reflectivity and temperature; simulating surface water quality parameters by adopting the constructed remote sensing inversion model, and visualizing a simulation result; according to the invention, by fully excavating the surface temperature information of the remote sensing satellite, higher surface water quality inversion precision is realized, and the uncertainty of water environment remote sensing is effectively reduced.

This invention relates to an intelligent continuous flow system and method for deep nitrogen and phosphorus removal from wastewater treatment plant effluent with low-activity sludge concentration. Belonging to the technical field of wastewater treatment system purification, the system is designed based on the denitrification phosphorus removal principle. It consists of a nitrification tank, three anaerobic tanks, three anoxic tanks, one aerobic tank, and a sedimentation tank. By measuring the nitrate nitrogen concentration in the effluent and precisely adding an organic carbon source, the system controls the endpoints of nitrification and denitrification reactions online. Due to its short hydraulic retention time, the system can operate at high speed and efficiency, produces no byproducts, and avoids secondary pollution. The purified water meets or exceeds Class III standards of my country's surface water quality standards. This invention provides a better technical solution for addressing the secondary eutrophication pollution caused by surface discharge of effluent from existing wastewater treatment plants and the challenges of upgrading existing wastewater treatment plants. It also has significant implications for the restoration of water quality in water source protection areas and eutrophic water bodies.

The invention relates to the technical field of environmental engineering, and particularly discloses a surface water quality improvement effect evaluation method after comprehensive treatment of a water environment, and the method comprises the steps: S1, obtaining the basic condition of a project associated with surface water, and determining an evaluation object in combination with project partitioning; s2, determining the effect of a newly built or repaired pollutant treatment system on reducing the amount of surface water pollutants by analyzing the content and implementation condition of the evaluation object; s3, analyzing and comparing the environment quality condition of the coverage area where the newly built or repaired pollutant treatment system is located to determine the environment change caused by pollutant treatment; according to the method, the implementation effect of the treatment project is determined by analyzing the pollutant reduction amount and environmental change cleaning, the surface water quality improvement condition is determined through the model, the primary and secondary pollutants in the water body are reasonably determined, and the two are combined to analyze and determine the treatment measures to improve the surface water quality. And the reasonable effect objective evaluation work can be better carried out on the comprehensive treatment of the water resource.

A surface water quality monitoring method based on a high spatial resolution satellite includes: step 1. building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; step 2. obtaining high spatial resolution remote sensing images for processing; step 3. identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands and the standard surface water quality pools; step 4. building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation and the surface water quality data to obtain water quality data; and step 5. identifying abnormal points of the water quality based on the water quality data and water quality data threshold of the surface water.

The utility model relates to the technical field of water quality monitoring, and provides surface water quality monitoring equipment, which comprises a detection component, a depth adjusting component and a water taking component, the water taking component is immersed in a water body to take water, the depth adjusting component is arranged on the water surface, and the depth adjusting component comprises a winding component, a driving component and a control switch. The winding assembly is connected with the water taking part through a connecting rope, the driving assembly drives the winding assembly to rotate forwards to take up the connecting rope so as to drive the water taking part to ascend, or drives the winding assembly to rotate backwards to release the connecting rope so as to enable the water taking part to descend, and the control switch is connected with the water taking part through an electric wire to open or close the water taking part; the detection part comprises a water sample container and a water quality detection element, the water taking part is communicated with a water inlet of the water sample container, a valve is arranged at a water outlet of the water sample container, and the detection part detects a water sample in the water sample container. The utility model aims to provide surface water quality monitoring equipment capable of collecting water samples of water at different depths.

The utility model discloses a water sampling device for surface water quality on-line monitoring, which relates to the technical field of water sampling devices and comprises a sampling barrel, the bottom of the sampling barrel is communicated with a connecting pipe, the bottom of the connecting pipe is communicated with a sampling cover, the inside of the sampling cover is fixedly connected with a filter plate, a threaded barrel is rotatably arranged on the filter plate, and the threaded barrel is fixedly connected with the connecting pipe. The threaded barrel extends into the connecting pipe, a cleaning box is fixedly connected to the bottom of the threaded barrel, a square groove is formed in the side wall of the cleaning box in a penetrating mode, a push strip is fixedly connected to the outer wall of the cleaning box, the push strip and the square groove are distributed correspondingly, and the push strip is attached to the lower surface of the filter plate in a sliding mode. And the interior of the threaded cylinder is in threaded connection with a first threaded rod. According to the water sampling device for online monitoring of the surface water quality, by arranging the filter plate, the cleaning box, the threaded cylinder and other structures, impurities can be filtered, meanwhile, the effects of cleaning and collecting the impurities are achieved, the sampling efficiency is improved, and therefore the effect of online monitoring of the surface water quality is improved.

1. Name of the product in this design: Intelligent System Station for Surface Water Quality Monitoring. 2. Purpose of this design: It is used for surface water quality monitoring. Equipped with a multi-parameter water quality sensor, it can continuously monitor the physical, chemical, and biological indicators of surface water 24 hours a day. Through Internet of Things technology, it transmits data to the cloud platform in real time, realizing the automation of the entire process of sampling, analysis, and uploading. 3. The key design features of this product are its structure and shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a surface water quality sampling and detecting device which comprises a positioning ring, a sampling area is arranged in the middle of the positioning ring, a plurality of external expansion claws are connected in the sampling area, a shifting part is arranged on a reset elastic structure, a sampling assembly is arranged above the sampling area, and the sampling assembly is in sliding connection with the positioning ring. And the sampling assembly slides axially to trigger the shifting piece to drive the external expansion claw to rotate. The external expansion claw is arranged on the positioning ring, and the shifting piece is triggered to move downwards by mechanical driving when the sampler slides downwards, so that the external expansion claw is driven to rotate and expand outwards, stones in a pit are pushed aside automatically, and a barrier-free water taking area is formed in the middle; and the problem that the water intake is blocked due to stone accumulation in the traditional sampling process is effectively solved.

A biologically active sorptive media is disclosed for sustainable contaminant removal in, for example, stormwater management systems. This technology addresses the technical problem of hydrophilic trace organic contaminants and dissolved-phase nutrients passing through conventional stormwater infrastructure, posing risks to groundwater and surface water quality. The biologically active sorptive media comprises a biopolymer matrix formed from alginate hydrogel, encapsulating sorbent materials (e.g., powdered activated carbon (PAC), iron-based water treatment residuals (FeWTR]), growth substrates (e.g., wood flour), and biodegrading organisms (e.g., white rot fungi). These beads enable rapid sorption of contaminants during storm events and subsequent biodegradation during inter-storm periods, renewing sorption capacity. The beads are mechanically robust, scalable, and stable for extended periods in high ionic strength solutions. Applications include bioaugmentation of green stormwater infrastructure (GSI), wastewater treatment, and bioremediation. This approach transforms GSI science by coupling sorption and biodegradation for enhanced contaminant removal.

The application discloses a kind of transferable surface water quality prediction method based on representation learning, comprising: step 1, obtaining historical monitoring data to construct the data set of multi-site sequence format, the data in data set is masked to historical monitoring data Process to obtain masked data, historical monitoring data and masked data are composed training test set;Step 2, select the same total number of source domain Transformer model framework to build prediction network;Step 3, the prediction network is trained to obtain prediction model;Step 4, the water quality data collected in the station and the current day's weather data are input into the prediction model to obtain the water quality data of the source domain where the station is located.The application also provides a kind of transferable surface water quality prediction device.The method provided by the application predicts the key water quality indicators of the source domain river monitoring section by the change of water quality information of each station in the source domain, and provides more accurate and comprehensive reference for subsequent water quality management.

The invention discloses a system and a method for filtering, adsorbing, dephosphorizing, denitrifying and recovering nitrogen and phosphorus of a water body. The system is composed of a filtering device, a lifting pump, an adsorbing, dephosphorizing and phosphorus recovering device and an ion exchange denitrification and nitrogen recovering device. The device is mainly used for dephosphorization and denitrification of inferior V-type water bodies with overproof total nitrogen and total phosphorus in large rivers, lakes and reservoirs and sea areas, and water quality is improved, so that the water quality reaches surface III-type or II-type water quality in Environmental Quality Standards for Surface Water (GB3838-2002). According to the present invention, after the system is adopted to perform phosphorus removal and nitrogen removal purification on the water body of the large river, the CODCr of the effluent is less than or equal to 15 mg / L, the BOD5 is less than or equal to 4 mg / L, the phosphorus is less than or equal to 0.1 mg / L, the ammonia nitrogen is less than or equal to 0.5 mg / L, the total nitrogen is less than or equal to 0.5 mg / L, and the pH value is 6-9, and after the nitrogen removal and phosphorus removal purification is performed on the water body of the lake reservoir and the sea area, the CODCr of the effluent is less than or equal to 15 mg / L, the BOD5 is less than or equal to 4 mg / L, the phosphorus is less than or equal to 0.025 mg / L, the ammonia nitrogen is less than or equal to 0.5 mg / L, the total nitrogen

1. Name of the product in this design: Electronic device with graphical user interface of digital integrated platform for urban governance with multimodality. 2. Purpose of this design: For running programs and displaying information. 3. The key design feature of this product lies in the graphical user interface on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The display screen panel adopts the conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Applications of the graphical user interface: This interface is designed for various application scenarios such as daily management, data monitoring, and data display. 7. Human-computer interaction method of graphical user interface: The main view is the main interface, which shows the daily mode of the platform. The upper left corner shows the air quality, displaying the values ​​of PM2.5, negative oxygen ions and AQI index of the current scenic area. The air quality chart is shown to the right of the surface water quality chart, displaying the water quality within the area. The second row from the left of the main view is a bar chart of total GDP, divided into four quarters; the lower left of the main view is a bar chart of operating revenue of major scenic spots, also divided into four quarters; the middle part of the main view is a digital image and text library, where you can filter and view images, texts, and videos of scenic spots; the first cell on the right of the main view is a basic introduction to the Academician Center; the second cell on the right of the main view is a list of key projects; the upper right corner of the main view can switch to emergency mode, click to enter interface change state diagram 1; in interface change state diagram 1, the upper left side is the typhoon path, showing the typhoon path information in emergency mode; the lower left side is the rainfall warning, showing the areal rainfall every 5 minutes and every two hours; the upper center of interface change state diagram 1 is key monitoring, where you can view real-time monitoring and video playback of key locations, and the lower center is the areal rainfall for the past few days; the upper right of interface change state diagram 1 is reservoir and river information, including reservoir water conditions and river water conditions; the lower right of interface change state diagram 1 is meteorological disaster warning. The top right corner allows you to switch to holiday mode. Clicking this will take you to interface state diagram 2. In interface state diagram 2, the upper left displays population information, and the lower left displays traffic information, showing a traffic heat map or tourist heat map. The second column displays visitor flow, showing the cumulative daily visitor flow and current visitor flow, with a ranking list of visitor flow at the bottom. The third column displays parking information, showing the occupancy rate and status of all parking lots within the scenic area. The far right displays time-segmented data, including real-time visitor flow, 7-day visitor flow, and parking data, with rail transit information below, showing a bar chart of passenger flow entering and exiting nearby subway stations. The top right corner allows you to switch to AI mode. Clicking this will take you to interface state diagram 3, where you can use AI intelligent analysis to view analysis reports on key information within the scenic area. 8. Other situations requiring explanation: Other explanations: Single color blocks in the main view, interface change state diagram 1, interface change state diagram 2, and interface change state diagram 3 may be variable or belong to content screens.

The utility model discloses quality control monitoring equipment for surface water quality monitoring, which comprises a monitor and solar cell panels, the monitor is provided with a box body, the four side surfaces of the box body are provided with the solar cell panels, the box body is internally provided with a first ball screw and a second ball screw, and the first ball screw and the second ball screw are connected with the solar cell panels. The two ends of the first ball screw are rotationally connected with the box body, a first lead screw nut is installed on the first ball screw, and a first cleaning rod is installed on the first lead screw nut. By arranging the first ball screw, the first lead screw nut, the first motor, the first cleaning rod, the second ball screw, the second motor, the second lead screw nut and the first cleaning rod, the solar cell panel on the monitor can be automatically cleaned, and compared with an existing mode that cleaning can be conducted only through disassembly, the cleaning efficiency is greatly improved. The solar cell panel is more convenient to clean, and the labor intensity of workers is low.

The invention discloses a high-spatial-resolution underground water-river-lake quantity and quality coupling risk assessment method, which belongs to the field of water resource management, and comprises the following steps: constructing a high-spatial-resolution water resource quantity and quality database, and integrating high-resolution water quantity, water quality data and ecological water demand; calculating the water quantity risk of surface water and underground water in each area; calculating water quality risks of surface water and underground water in each area; for four indexes of surface water quantity risk, underground water quantity risk, surface water quality risk and underground water quality risk, combined weight is calculated by combining a principal component analysis method and an entropy weight method; and calculating the quantity-quality coupling risk of the composite system through a weighted expression based on the combined weight and the risk value of each index. The method aims at solving the problems that an existing evaluation method is insufficient in spatial resolution and difficult to recognize a local high-risk area and a main control factor, the risk area, the grade and the main control risk source can be accurately recognized on the composite system scale, and scientific support is provided for water resource zoning and grading management and control and differentiated response.

The utility model discloses a surface water quality monitoring environmental protection device, and relates to the technical field of water quality monitoring, the surface water quality monitoring environmental protection device further comprises a bottom plate, the top of the bottom plate is provided with a water storage tank for storing a water sample of surface water, the top of the bottom plate is fixedly connected with a support frame, the inner side of the support frame is provided with an electric push rod, and the bottom end of an output shaft of the electric push rod is fixedly connected with a mounting plate; an integrated monitoring probe for monitoring water quality is fixedly connected to the bottom of the mounting plate, a stirring mechanism for stirring a water sample is arranged on the inner side of the water storage tank and comprises a rotating rod, open grooves are formed in the two sides of the water storage tank in a penetrating mode, the rotating rod is rotationally connected to the inner sides of the open grooves, and a plurality of mounting rings fixedly sleeve the outer side of the rotating rod; a plurality of stirring rods are fixedly connected to the outer wall of the mounting ring, a water sample is stirred by arranging the stirring mechanism, the precipitation phenomenon of large particles in the water sample is prevented, and the uniformity of the water sample before monitoring is ensured, so that the accuracy of a water quality monitoring result is improved.

The application discloses a kind of surface water quality automatic monitoring methods, it is related to water quality detection technical field.The steps of data acquisition, data preprocessing, model training and prediction, model updating and automatic calibration and cleaning, through the improved network structure, the water quality multi-parameter characteristics and time sequence correlation are fully extracted, the influence of abnormal data and equipment state anomaly is reduced by combining optimization loss function, the water quality parameter prediction error is reduced, the accuracy of abnormal identification is improved, more reliable data support is provided for water environment management, residual connection and multi-size convolution kernel are introduced, the model training and prediction speed are accelerated, water quality parameter mutation can be quickly captured, abnormal early warning is generated in time, time is gained for pollution prevention and control;River, lake, reservoir and other various surface water environments can be flexibly adapted.

The present application relates to wastewater treatment technical field, especially to a kind of method for utilizing iron-based catalyst catalytic hydrogen peroxide and ozone advanced treatment of wastewater.The present application first adds hydrogen peroxide in wastewater, obtains mixed water sample;Then mixed water sample is passed through the reaction column filled with iron-based catalyst from bottom to top, while ozone is introduced into the bottom of reaction column, and the advanced treatment of wastewater is realized by the synergistic cooperation of iron-based catalyst, hydrogen peroxide and ozone.The method provided by the present application can significantly improve the utilization rate of ozone, significantly improve the treatment effect of wastewater;For the wastewater with initial COD concentration of 100-500mg / L, the effluent COD after treatment can reach the surface water quality standard (GB 3838-2002 III standard, COD≤20mg / L), and the method is expected to be widely applied in environmental pollution control.

The invention discloses an annual surface water non-point source pollution monitoring method based on a multi-machine learning remote sensing model, and relates to the field of remote sensing surface water quality annual change simulation, and the method comprises the steps: carrying out the preprocessing of a remote sensing image and monitoring data, building a stacking model based on the preprocessing result, training and optimizing the stacking model, and obtaining an optimal stacking model; and inputting the preprocessed remote sensing image into the optimal accumulation model for simulation, and generating a non-point source pollution change simulation diagram in the surface water in each year. The space-time distribution and evolution trend of the non-point source pollution in the water body can be effectively reflected, the method has the advantages of high timeliness, wide coverage, high automation degree and the like, and reliable data support and technical guarantee are provided for large-range non-point source pollution monitoring, water environment quality evaluation, pollution tracing and other work.

The present application relates to the technical field of surface water supervision, and particularly relates to a water quality monitoring management platform, comprising a monitoring network and a management module; the monitoring network comprises shooting devices arranged at various water withdrawal path nodes, wherein the water withdrawal path nodes are provided with plankton which is sensitive to pollutants; the monitoring network is used to acquire the characteristic data of the plankton on the corresponding water withdrawal path nodes through the shooting devices; the management module is used to output a pollution diffusion path probability graph according to the characteristic data of the plankton, generate a water quality management scheme according to the pollution diffusion path probability graph, and realize real-time monitoring and accurate management of the surface water quality.

The utility model discloses depth-adjustable surface water quality detecting and sampling equipment which comprises a handheld frame, a sampling device and a water quality detecting and sampling device, wherein the handheld frame is used for being held by a hand; the winch is rotationally connected to the handheld frame; the pull rope is wound on the winch, and the outer wall of the pull rope is provided with scales; a water inlet and a water outlet are formed in the side wall of the lower end; the lifting ring is arranged on the sampling barrel and is fixed with the pull rope; the switching mechanism is used for controlling the opening and closing of the water inlet. The utility model has the following advantages and effects: by arranging the pull rope to hoist the sampling barrel, the sampling of water at different depths can be realized, and meanwhile, the scales are arranged on the pull rope, so that the accurate control of the unwinding amount of the pull rope can be realized, and the accurate sampling at different depth positions can be realized.