61 results about "Surface water body" patented technology

The invention provides a mine water disaster monitoring and early warning method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: collecting multi-source data of a mining area, carrying out the time-space alignment of the multi-source data, and generating a data set, the multi-source data comprising remote sensing data; preprocessing the data, inputting the preprocessed data into a multi-modal fusion network, and extracting surface water body distribution, lithologic permeability, underground water level and structural fracture characteristics to obtain a three-dimensional hydrogeological static model; the hydrological numerical model based on physical driving is coupled with the static model, and the dynamic model is used for simulating the dynamic change of an underground water flow field and a pollutant diffusion path; based on the dynamic model updated in real time, multi-target collaborative evaluation is carried out to evaluate the mining area water resource, ecological and social collaborative effect; and calling an unmanned aerial vehicle to inspect a leakage position or a settlement position in the hydrogeological risk map based on a multi-target collaborative evaluation result. According to the method, the prediction accuracy is improved through the multi-source data.

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention discloses an industrial park-oriented pollution accident traceability and risk intelligent prediction system, and relates to the technical field of park pollution prediction, and the system comprises a pollution data collection module which is used for arranging a water quality monitoring terminal in an industrial park factory area, collecting pollution data, and forming structured pollution data; the hydrological structure modeling module is used for constructing a hydrological network diagram structure based on the physical connection relationship between the park underground drainage system and the surface water body and outputting a directed graph; and the pollution path calculation module is used for calculating propagation paths of pollutants on the possible paths and theoretical propagation time corresponding to the paths on the basis of the directed graph structure output by the hydrological structure modeling module. According to the method, a full-path modeling process of pollutants from a discharge source point to a water body diffusion terminal is broken through by constructing a double-drive coupling model, and the model supports dynamic prediction of pollution paths and influence areas under different hydrological situations and process characteristics.

The invention relates to the technical field of underground water state evaluation, and discloses an underground water level dynamic evaluation method based on multi-source data mapping and fluid model correction. The invention aims to solve the technical problems of insufficient underground water level monitoring precision and lack of space details caused by low spatial resolution of existing satellite gravity detection data and difficulty in accurately separating a deep underground water change signal from a land total water reserve signal. According to the method, through space-time reference unification of multi-source heterogeneous data, high-resolution surface texture features are utilized to guide a low-resolution gravitational field to carry out space downscaling reconstruction; surface water body and soil water reserve signals are removed layer by layer in combination with spectral characteristics and a thermal inertia principle; and introducing measured data to construct a spatial error correction curved surface of specific yield parameters, and identifying the underground water funnel by using an image connected domain analysis technology.

The invention relates to the technical field of water resource investigation, in particular to a method and system for calculating dynamic surface water reserves in combination with an SWOT satellite.The method comprises the steps that water surface height data are collected, water surface area calculation is conducted, dynamic weight distribution sensitive to environmental factors and multi-source fusion are conducted, and the water surface area of a target surface water body is obtained; performing water level measurement; fusing and correcting all the water level measurement data obtained by calculation to obtain a corrected water level elevation; acquiring underwater topographic data, and performing feature-level fusion and error minimization optimization on the underwater topographic data by adopting a multi-modal deep learning framework to obtain the underwater topographic data; and calculating the water reserves of the target surface water body. The method solves the problems of single observation data source and susceptibility to environmental interference in the prior art, and has the characteristics of high robustness and all-weather adaptability.

The invention discloses an oil and gas site leakage pollution prediction method based on an HGS, and relates to the field of oil and gas site pollution prediction, and the method comprises the following steps: constructing an integrated three-dimensional geological grid comprising a surface water body, an aeration zone and a water-bearing layer through an HGS platform; on the basis of an integrated three-dimensional geological grid, pollution migration of pollutants in the shaft leakage process is simulated through a three-dimensional underground water flow model, leakage pollution plume changes of the pollutants in underground water are depicted through a solute migration function, and spatial and temporal distribution data of pollution plume migration are output; and obtaining a pollution prediction result based on the spatial and temporal distribution data of pollution plume migration. According to the method, the spatio-temporal evolution law of underground water pollution of the oil and gas field can be accurately displayed, and the problem that in the prior art, only simplified simulation can be conducted on solute transport in an underground water system, oil and gas field leakage pollution scenes under multiple working conditions cannot be accurately simulated, and consequently the oil and gas field leakage pollution prediction accuracy is low is solved.

The invention provides a surface water body dynamic monitoring method based on multi-source remote sensing and spatial similarity reconstruction, and relates to the technical field of remote sensing detection. The method comprises the following steps: acquiring a to-be-reconstructed water body distribution diagram sequence collected by an optical remote sensor; searching a reference image with the smallest spatial structure difference with the to-be-reconstructed water body distribution map in the reference image set, and taking the reference image as an optimal reference water body map of the to-be-reconstructed water body distribution map; and carrying out pixel replacement on a missing region in each to-be-reconstructed water body distribution diagram by utilizing a pixel category in the optimal reference water body diagram, and finally obtaining a reconstructed water body distribution diagram sequence. According to the method, pixel-level completion is carried out on a to-be-reconstructed water body distribution diagram acquired by an optical remote sensor by using a pre-constructed missing-free reference image set, so that the integrity of a time sequence water body information image acquired by the optical remote sensor within a period of time is ensured, and the continuity of water body information in time sequence is further ensured; the monitoring requirements of large-range and high-dynamic change water bodies can be met.

The invention discloses an emergency compound agent for coping with short-term total phosphorus increase of a surface water body, and belongs to the field of emergency compound agents for coping with short-term total phosphorus increase of the surface water body. A preparation process comprises the steps of preparing a PAC solution, preparing a diatomite modifier, preparing modified diatomite, preparing the emergency compound agent and the like. The steps of ultrasonic loading, calcining, washing and the like are added in the process, so that the adsorption precipitation capacity of the modified diatomite is improved; and compounding agents with different mass ratios are prepared according to the phosphorus content of the treated water body, so that the application range and the capability are improved. The method is simple to operate, green and environment-friendly, and by modifying the diatomite raw material and increasing the loading degree of the modified diatomite, the adsorption and precipitation capacity of the prepared modified diatomite can be remarkably improved, and the stability after adsorption and precipitation is promoted, so that the use performance and the application range of the prepared emergency compound medicament are effectively improved.

The application discloses a kind of spatiotemporal continuous land surface water body generation methods based on multi-source geospatial data, belong to remote sensing information processing and geographic information technical field.The method includes: obtaining the multi-source geospatial data related to water body distribution, including climate, hydrology and topographic data;It is spatiotemporal resolution and coordinate system, constructs pixel level characteristic variable;Based on existing water body data constructs training sample library;Using random forest or gradient boosting tree and other machine learning methods trains water body distribution reconstruction model;The model is applied to historical or missing time node, and water body distribution prediction result is generated every time phase;Finally form long time sequence, spatially continuous, resolution consistent land surface water body grid data set.The application can effectively fill in remote sensing data missing, improve the spatiotemporal continuity and consistency of water body data, suitable for wide range, long time sequence water body dynamic monitoring and analysis.

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 provides a nitrogen pollution regulation and control method and device, a storage medium and equipment, and the method comprises the steps: obtaining nitrogen emission data in the production process of industrial and agricultural products, and the total nitrogen of surface water and atmospheric nitrogen oxides in a target region; the method comprises the following steps: acquiring a mapping relation between nitrogen emission of industrial and agricultural products and total nitrogen of surface water and atmospheric nitrogen oxides in a target area, and constructing an economic constraint function and a nitrogen emission constraint function based on an economic development target and an environmental protection target of the target area; and based on second environment data, an economic constraint function, the nitrogen emission constraint function and the mapping relationship, obtaining yield recommendation information of the industrial and agricultural products by using a multi-objective optimization model, and performing production distribution of the industrial and agricultural products according to the yield recommendation information. The production management and control of industrial and agricultural products can be realized by combining economic development and environmental protection, and the local environmental quality is improved while the economic development is guaranteed.

The invention provides a micro-disturbance under-ice surface water in-situ layered collection monitoring device and method, the device comprises a layered collection device and a monitoring device, the layered collection device comprises a water taking hose, a steering shaft, a support frame, a sliding push rod, an under-ice support frame, an under-ice sampling frame and a fixed support; the steering shaft is installed at the upper end of the supporting frame, the sliding push rod is installed on the outer side wall of the supporting frame, the lower end of the supporting frame is connected with the under-ice sampling frame, the lower end of the under-ice supporting frame is connected with the tail end of the under-ice sampling frame, and the upper end of the under-ice supporting frame is connected with the sliding push rod. The lower end of the water taking hose is inserted into the supporting frame from the upper end of the supporting frame and connected with the water taking hard pipe, and the upper end of the water taking hose is connected to monitoring equipment. The device is simple in structure, convenient to carry and operate and capable of completing high-precision layered fidelity sampling of the water area under ice. And the gas concentration and related environmental parameters of the surface water body under ice can be monitored on site.

The utility model discloses a photovoltaic electricity reinforced horizontal flow constructed wetland reactor which comprises a reactor main body, a water inlet and a water outlet are respectively formed in the top ends of two opposite sides of the reactor main body, a lower gravel layer, a carbon felt layer, an upper gravel layer and a surface water body are sequentially arranged in the reactor main body from bottom to top, and plants are planted on the carbon felt layer; the division module comprises a division plate and a plurality of baffles, the interior of the reactor main body is divided into an anaerobic zone and an aerobic zone by the division plate, two groups of baffles are fixed in the anaerobic zone, and a group of baffles are fixed in the aerobic zone; the electrical stimulation system is mounted on the plant in the aerobic zone, and the bottom of the electrical stimulation system is in contact with the carbon felt layer; the aeration system is mounted at the bottom of the aerobic zone; and the photovoltaic power supply system is connected with the electrical stimulation system and the aeration system. According to the utility model, sewage is deeply treated on the premise of saving energy and utilizing waste, so that the sewage treatment effect is improved.

A kind of mouth of a river backfill drainage pipe network detection device and detection method, detection device includes elbow and shaft;The end of elbow is provided with plugging pipe, the other end is provided with connecting pipe, the shaft is installed on connecting pipe.Detection method includes the following steps: S0: determine suspected well;S1: assemble detection device;S2: detection device is put into water, after plugging pipe is aimed at the mouth of a river, it is inserted and plugged, so that detection device and the pipeline in suspected well form a communicating vessel structure;S3: water is taken from the field surface water body using water taking tool, after adding isotope tracer, mixed water body is poured into detection device from the top of shaft, so that mixed water body enters suspected well;S4: water quality sampling is carried out in suspected well and is detected, when the tracer put in is detected in water sample, then it can be judged that the inspection well is one of the paths of the mouth of a river as surface water invasion;S5: repeat steps S2 to step S4 to detect the water quality of multiple suspected wells.

The application provides a kind of surface water body N2O greenhouse gas emission monitoring method based on remote sensing and intelligent algorithm, first with surface water body as research object, by measured water quality data, explore the key water quality parameters affecting dissolved N2O, using deep neural network algorithm to build dissolved N2O prediction model;Using multi-source remote sensing data, ground hyperspectral information and water quality measured data, build water temperature, pH, dissolved oxygen, inorganic nitrogen remote sensing inversion algorithm;Further combined with dissolved N2O prediction model, water-gas interface N2O emission model, finally build a kind of surface water body N2O greenhouse gas emission monitoring method based on remote sensing and intelligent algorithm, realize the spatial inversion of surface water body N2O generation and emission based on remote sensing.The design fully combines the advantages of remote sensing and intelligent algorithm, more comprehensive, systematic and accurate estimation of surface water body N2O generation and emission, provide scientific monitoring technology and data support for water ecological system greenhouse gas emission reduction.

The application discloses a soil body water seepage early warning device for geotechnical engineering and belongs to the technical field of geotechnical engineering. The soil body water seepage early warning device for geotechnical engineering comprises a landslide, the top surface of a landslide surface layer is provided with a water intercepting ditch, the top surface of the landslide surface layer is provided with a drainage ditch, the inside of the landslide is provided with detection assemblies, the detection assemblies comprise water releasing pipes and alarm mechanisms arranged in the inside of the shallow layer and the weathered mudstone-sandstone interbedding. The landslide surface is drained through the cooperation of the water intercepting ditch, the drainage ditch and the waterfall groove. The water infiltrated due to heavy rainfall or the underground water contained in the slope body can be quickly gathered and discharged through the water releasing pipes, the surface water body can be effectively reduced, the strength and the dead weight of the lower soil body can be maintained, the permeability can be reduced, when the water content in the inside of the slope body reaches a dangerous value, the water level in the inside of the water releasing pipe is increased and drives the alarm mechanism to work to issue an alarm, and meanwhile, the alarm mechanism can accelerate the discharge of the accumulated water in the inside of the water releasing pipe.

The utility model discloses a waterproof device for doors and windows, belongs to the technical field of waterproof of doors and windows, and solves the problems that a window sash of an existing device is easy to cause downward bending of a transverse groove plate, so that the sliding of the window sash is not smooth, the transverse groove plate is horizontally arranged, the flowing speed of water on the top surface of the transverse groove plate through a through hole is slow, and the drainage effect is poor. Comprising a door and window frame, and a groove is formed in the inner wall of the door and window frame; a lower supporting plate with the section in a right triangle shape is fixedly installed on the inner wall of the bottom side of the groove, drainage holes distributed in a linear array mode are formed in the bottom end of the outer vertical face of the groove, and a first guide rail and a second guide rail which are vertically arranged are arranged on the top face of the lower supporting plate. The first guide rail and the second guide rail are supported through the lower supporting plate so that the window sash can smoothly slide on the first guide rail and the second guide rail, rainwater in the groove can be gathered on the top face of the lower supporting plate, then the rainwater flows towards the outer vertical face along the top face of the lower supporting plate, and the rainwater drainage rate can be increased.

The utility model provides a device for extracting a surface water body according to a siphon principle, which comprises a water taking head part, a water collecting head part and a water collecting head part, the hose is connected with the water taking head part; the floating ball is connected to the side part of the water taking head part and the side part of the hose; the hose floats on the water surface by partial buoyancy provided by the floating ball and is fixed by the U-shaped pipe clamp at the top of the dam, the hose outside the dam and the hose floating on the water surface in the dam form a water level difference to generate siphon drainage, electric power or pump drainage is not needed, the total investment cost is lower than that of a traditional pumping system, and the maintenance difficulty is reduced. The unpowered design avoids oil contamination or noise pollution, no mechanical fault is generated, the device is suitable for being matched with ecological sensitive water areas, and the problem of water blooms of water bodies is solved with low cost and high efficiency by ingeniously combining the siphon principle and the floating structure.

The invention discloses a surface water body super-resolution recognition method based on GNSS-R data, relates to the technical field of remote sensing, and aims to solve the problems that an existing surface water body recognition method based on GNSS-R is low in observation efficiency and coverage precision, small-scale water body information cannot be accurately captured, and data redundancy or information loss is easily caused. The invention provides a surface water body super-resolution identification method based on GNSS-R data. The surface water body super-resolution identification method comprises the following steps: preprocessing GNSS-R observation data to obtain effective observation points; modeling each effective observation point as a spatial line segment; constructing a grid system composed of a plurality of grid units, projecting the spatial line segments to the grid system, and calculating weights according to the coverage lengths of the spatial line segments in the grid units; performing weighted statistical calculation on each grid unit to obtain a variable coefficient; and constructing a three-parameter index model, and constructing a water body / non-water body boundary curve in the variable coefficient-average reflectivity characteristic space according to the variable coefficient, thereby realizing accurate extraction of the water body region.

This invention relates to the field of coal mining technology, specifically to a method and apparatus for surface-mounted pipe laying in coal mines. The method includes: obtaining a borehole path within a borehole layer, based on the target location of surface water and the target location of coal mine drainage; based on the borehole path, driving a first drilling unit of a drilling assembly to form a rotary drilling channel on the borehole layer to guide surface water; obtaining a preset pipe laying position within the rotary drilling channel based on a preset rotation speed rule of the drilling assembly; and providing at least one guide pipe at the preset pipe laying position to guide surface water along the rotary drilling channel, based on the preset pipe laying rule of the drilling assembly. This solves the problem of seepage caused by difficulty in draining surface water in environments prone to borehole blockage or obstruction.

The invention discloses a surface water characteristic soluble organic matter molecule and reaction identification method and device, and relates to the field of environmental monitoring, the method comprises the following steps: collecting a surface water body sample of a target area, and carrying out solid phase extraction to obtain a soluble organic matter sample; carrying out determination and mass spectrometry on the dissolved organic matter sample by adopting a Fourier transform ion cyclotron resonance mass spectrometer to obtain a dissolved organic matter molecular formula of the target area; spearman correlation analysis is carried out on the key hydrological parameters and the molecular formula of the soluble organic matter of the target area to obtain characteristic soluble organic matter molecules under the influence of the key hydrological parameters; and analyzing the chemical reaction between the characteristic dissolvable organic matter molecules to obtain the chemical reaction path of the characteristic dissolvable organic matter molecules under the influence of the key hydrological parameters. According to the method, quantitative analysis of the molecular formula and the reaction path of the characteristic soluble organic matter is realized, and the influence of the key hydrological parameters on the specific soluble organic matter molecules and the chemical reaction can be identified.

The application relates to the technical field of water conservancy management, in particular to a water conservancy informatization management method and management system based on digital twinning technology. The method comprises the following steps: a digital twinning model covering a target region is constructed; through an Internet of Things sensing network and remote sensing and other means, multi-source data is collected in real time and is synchronized with the model; the multi-source data is used to calculate the regional flood storage capacity composed of soil water storage capacity, river channel storage capacity and surface water body storage capacity; flood evolution simulation deduction is carried out based on regional weather forecasts and the flood storage capacity; and multi-level early warnings are generated and issued according to forward-looking indexes such as predicted flood storage capacity breakthrough time and inundation range. The application solves the problems of the prior art, such as dependence on static capacity evaluation and early warning reaction lag, quantifies the real flood storage capacity of the region dynamically and integrally, significantly improves the accuracy of flood forecasting and the advance amount of early warning, and provides strong scientific support for accurate flood control decision-making.

The invention relates to a surface water pollutant detection and extraction method and system under a complex drainage condition, and the method comprises the steps: receiving declaration data uploaded by each target pollution discharge unit through an enterprise pollution discharge data reporting module, and forming pollution discharge source list data; the method comprises the following steps: receiving water quality and water quantity data uploaded by an on-line analyzer deployed at a target sewage draining exit through a key sewage draining exit on-line monitoring module; the method comprises the following steps: receiving monitoring index data uploaded by a fixed monitoring station deployed in a target surface water body through a receiving water body environment monitoring module; the data center cleans the data and inputs the data to an anomaly diagnosis model; and when an abnormality is diagnosed, generating an early warning event, automatically triggering a traceability evidence obtaining process, and pushing early warning information to a management platform at the same time. Original isolated declaration data, real-time on-line monitoring data and environment quality monitoring data are comprehensively collected and gathered by constructing an enterprise pollution discharge data reporting module, a key pollution discharge port on-line monitoring module and a receiving water body environment monitoring module.

A surface water body extraction system and method based on an artificial intelligence algorithm, the system comprising a backend processing system and a front-end operating system; the method: a user registers and logs in through a user login module of the front-end operating system; the user selects data and corresponding parameters through a data selection module, selects a band combination of a remote sensing image and an image stretching method; a model selection module is used to determine a water body extraction model, the backend processing system adjusts the band combination of the remote sensing data according to the corresponding parameters, calls the corresponding model in a database storage module and processes the data using an algorithm processing module to obtain a water body extraction result; whether to verify the water body extraction result is selected through a verification module, if verification is selected, the accuracy of different results is evaluated using precision, recall, F1 score and average intersection over union ratio indexes, if no verification is selected, the water body extraction result is directly output; the present application has the advantages of high water body extraction accuracy and strong technical robustness.

The application discloses an aeration cyclone off-shore algae control system and an operating method, and belongs to the technical field of off-shore algae control, which comprises an air compressor, a water tank, a heat exchanger, a cooling circulating device and a plurality of aeration cyclone mechanisms. Each aeration cyclone mechanism comprises aeration main pipes, horizontal aeration branch pipes and a plurality of vertical aeration branch pipes. A connecting hose is arranged between each two adjacent aeration main pipes, and an aeration hole is arranged at the upper end of each vertical aeration branch pipe. Through the application, off-shore active algae control is realized in a period with strong light and high temperature. The 'air stripping' effect generated by the rising of air bubbles increases the Reynolds number and the turbulence degree of water, thereby destroying the requirement of blue algae for still water. The appearance of cyclone also destroys the normal migration rule of blue algae, so that the blue algae cannot normally perform photosynthesis. Moreover, the cyclone fully mixes water layers with different temperatures, greatly reduces the water temperature of the surface water body, and effectively controls the growth of blue algae.

The application is a pig farm wastewater treatment facility and system integrating efficient deodorization and ecological landscape, the technology constructs clear zoning of underwater anaerobic and water surface aerobic, and innovatively designs a surface water body convergence network to optimize the surface water flow path, strengthen the water body exchange rate, and accelerate the construction of the surface aerobic area microbial system. At the same time, the plant system is deeply integrated into the whole process of wastewater treatment process, which forms a good on-site landscape, effectively intercepts, absorbs and converts odor gas, and improves the environment of the site. The treatment device of the application is very simple, has no operation cost, fundamentally solves the odor problem in the process of pig farm wastewater treatment, and realizes the systematic improvement of environmental friendliness and sensory effect on the basis of ensuring efficient treatment effect.

The invention discloses a geomembrane and clay synergistic anti-seepage structure and method for a surface water body in a coal seam mining area, and aims to solve the problem of surface water body seepage caused by coal mining. The total thickness of the anti-seepage structure is larger than or equal to 1.5 m, and the anti-seepage structure comprises a lower clay supporting layer (the thickness is larger than or equal to 0.8 m, the permeability coefficient is smaller than or equal to 1.0 * 10 cm / s, the clay particle content is larger than or equal to 20%, the plasticity index is 15-20, and the lower clay supporting layer and a geomembrane interface are bonded in an enhanced mode through tooth grooves or anchoring grooves), a transition layer (0.20-0.30 m medium-coarse sand), a geomembrane anti-seepage layer (an HDPE or PE composite membrane) and an upper protection layer (plain soil with the thickness larger than or equal to 40 cm) from bottom to top. The geomembrane and clay combined synergistic anti-seepage structure has flexibility and self-repairing capacity, the long-term anti-seepage performance of a surface water body in a mining influence area can be remarkably improved, mining settlement deformation is effectively adapted, the leakage risk is reduced, and good engineering practicability and environmental adaptability are achieved.

The present application relates to the technical fields of wetland restoration, and discloses a natural wetland ecological restoration water quality purification system, which comprises a floating plate, an underwater driver is installed on the floating plate and used for driving the floating plate to move in water, and a through hole is formed in the floating plate; wherein, a storage tank is arranged on the top surface of the floating plate and used for storing oil film removing agent, a communication pipe is connected to the side surface of the storage tank and penetrates through the through hole, the top surface of the storage tank is in an open structure, four guide rods are fixed in the storage tank, and a socket is formed in the top position of the side surface of the storage tank. The present application realizes automatic addition and uniform distribution of the oil film removing agent in the surface water body of the water area, the staff only needs to put the oil film removing agent into the storage tank, and then pulls the pull rod to release the oil film removing agent, so that the oil film removing agent can be uniformly sprayed into the surface water body of the water area along with the movement of the lifting tank, thereby effectively eliminating the oil film on the water surface.

The utility model belongs to environmental monitoring device technical field discloses a kind of surface water body multipoint simultaneous sampling device, including base and the liquid inlet being opened in the base, the base is fixedly connected with multiple mounting plates at equal angle circumferentially, the base is fixedly connected with negative pressure assembly, multiple the mounting plate is fixedly connected with water suction assembly and cleaning assembly on, the utility model is configured by each sampling point, and the cleaning assembly of backflushing can be reversed to water suction unit Reverse flushing, effectively remove the suspended particulate matter, algae, biological membrane and other impurities, such as jam, improve the water absorption efficiency of each point, ensure that sufficient water sample is smoothly extracted in each water suction interval, can also maintain the purity of subsequent sampling water sample, avoid the continuous pollution of subsequent sample due to dirt residual accumulation, ensure the accuracy of single point water sample detection data.