17 results about "Point source pollution" patented technology

This invention relates to the field of intelligent prediction technology, specifically to a method and system for dynamic prediction of non-point source pollution based on multi-model coupling. It includes the following steps: constructing a comprehensive condition feature vector based on hydrological condition feature vectors and scheduling disturbance feature vectors; pre-adjusting the coupling weights according to the deviation of the comprehensive condition feature vector from the effective parameter space; obtaining the segmented transmission lag times of three causally linked prediction modules, dynamically correcting them according to the scheduling disturbance feature vector, and performing time-series alignment; sequentially running the three modules to generate data-driven prediction results, simultaneously running the physical mechanism model to generate physical mechanism prediction results; updating the coupling weights according to the corrected lag times, performing weighted fusion, and outputting the predicted value of the target parameter. This invention achieves dynamic pre-adjustment of the coupling weights between the physical mechanism model and the data-driven model when artificial scheduling alters the temporal distribution of runoff and the laws of pollution transport.

This invention relates to a strain for the remediation of contaminated green space soil and the interception of non-point source pollution, and its application. Specifically, it relates to a strain for the remediation of contaminated green space soil and the interception of non-point source pollution. The strain used in this invention for the remediation of contaminated green space soil and the interception of non-point source pollution is *Neobacillus ginsengisoli* XY-145, deposited at the China General Microbiological Culture Collection Center (CGMCC) with accession number CGMCC No. 37664. This strain is a *Neobacillus ginsengisoli* strain that combines low-temperature tolerance, siderophore production, cellulose solubilization, and protein solubilization (D / d=2.10) functions, providing a novel microbial technical solution for the remediation of contaminated green space soil and the interception of non-point source pollution, and has good prospects for industrial application.

The application discloses a kind of basin nitrogen multi-scale coupling simulation and accurate traceability evaluation method and system, belong to the technical field of basin water environment simulation and non-point source pollution control, method includes: based on the soil, weather, land use and nitrogen deposition data of research area, the runoff of each grid, runoff nitrogen concentration, deep leakage and nitrogen leaching amount are calculated;D8 flow direction method and triangular unit line method are used to calculate the flow rate of basin outlet;The amount of nitrogen transport of surface path is calculated using the first-order kinetic method;Based on deep leakage and nitrogen leaching amount, the kinetic model coupled with organic nitrogen mineralization, microbial assimilation and denitrification process is used to calculate the amount of nitrogen transport of underground path;Comprehensive above result, output grid scale water nitrogen flux spatial distribution map, identify the key source area of nitrogen loss.The application realizes the multi-scale integrated simulation and accurate traceability of nitrogen migration and transformation by closely coupling grid scale biogeochemical process and watershed scale hydrological process.

This utility model relates to a point source pollution purification device for river and lake management, comprising a base plate, a packing box, floats, and a housing. The housing is located on top of the base plate, and multiple floats are located at the bottom of the base plate. A main sewage pipe running left-right is located at the top of the housing. A pumping assembly connected to the right end of the main sewage pipe is located on the right side of the housing. Several branch sewage pipes running front-back are evenly arranged along the length of the main sewage pipe at its bottom, and outlets are evenly arranged along the length of the branch sewage pipes at their bottom. Several packing boxes are evenly arranged along the left-right direction below the branch sewage pipes within the housing. The side walls of adjacent packing boxes are tightly fitted together, and the inner wall of the housing is tightly fitted to the side walls of the packing boxes. Water passage holes are evenly arranged at the top and bottom of each packing box. A drain outlet aligned with the bottom of the packing box is located at the bottom of the housing, passing through the base plate. This utility model has the advantages of convenient installation and labor-saving cleaning.

The application discloses a sky-ground-water coordinated non-point source pollution multi-dimensional detection system, and belongs to the technical field of environmental monitoring, and solves the technical problems of existing non-point source pollution monitoring, which is heavy on the ground and light underground, insufficient multi-source data fusion, and poor adaptability to complex terrain. The system is composed of six modules of space, ground, underground, data fusion processing, control and data storage visualization. Through SLAM-RTK positioning, the system realizes self-adaptive flight in complex terrain, combines with the dynamically deployed sensor network and underground ultrasonic detection, and constructs a sky-ground-water full-dimensional monitoring system. An innovative spectral-ultrasonic cross-modal fusion algorithm is used, a CNN-LSTM model is used for completing multi-source data collaborative analysis, and the ground fertilizer and pesticide loss grade and the underground nitrogen and phosphorus leakage intensity are synchronously output. The application has the advantages of monitoring the whole world without dead angle, high precision and coverage rate, low data processing delay, low deployment and operation cost, accurate positioning of pollution sources and diffusion trend, and provision of scientific basis for accurate prevention and control of non-point source pollution, and is suitable for multiple scenes such as water sources and farmland.

The application belongs to the technical field of water quality monitoring equipment, and particularly discloses a basin non-point source pollution monitoring sensor, which comprises a float, a filter cylinder, a sensor body and a clamping component. The float is used for floating in the water area to be monitored. The filter cylinder is vertically inserted into the bottom end of the float. The sensor body is vertically inserted into the filter cylinder and used for detecting the water entering the filter cylinder. The clamping component comprises an inner ring, an arc-shaped plate and a plug rod. The inner ring is connected to the inner side wall of the filter cylinder by a plurality of edge strips. The arc-shaped plate is located inside the inner ring and surrounds the outside of the sensor body. The plug rod is horizontally inserted into the edge strip, and the inside end of the plug rod is connected to the arc-shaped plate. The elastic force of the first elastic member enables the arc-shaped plate to move inside the inner ring, which facilitates the control of the positions of the arc-shaped plates inside the inner ring, thereby enabling the sensor body to be vertically inserted into the inner ring, facilitating the quick replacement of the sensor body with different diameters, ensuring that the inner ring is adapted to the sensor bodies with different shapes, and enabling the appropriate sensor body to be replaced according to the local water source conditions.

This invention discloses a method and system for tracing water pollution sources in a watershed using a fused graph neural network, belonging to the field of regional water environment supervision technology. Based on initial theoretical pollutant flux, water quality concentration data, hydrological data, and known discharge flux from sewage outlets, this invention generates an initial dynamic mass residual field and calculates its global deviation feature data to determine if it exceeds a threshold. If so, the initial dynamic mass residual field is updated to obtain a target dynamic mass residual field; otherwise, the initial dynamic mass residual field is used as the target dynamic mass residual field. Then, the target dynamic mass residual field and areal rainfall data are processed to obtain dynamic background baseline data and local anomaly feature data for non-point source pollution. Finally, based on these, a weighted fusion is performed to generate and output point source illegal discharge probability distribution data, improving the accuracy of water pollution source tracing and solving the problem in existing technologies where non-point source pollution is misclassified as multiple discrete point sources, leading to a decrease in the accuracy of tracing the source of water pollution in a watershed.

This application discloses a method, equipment, medium, and product for determining the total volume of an interception pool based on urban initial stormwater interception standards, relating to the field of interception facility management. The method includes: identifying key pollutants based on water quality and flow monitoring data; constructing a cumulative rainfall-cumulative runoff relationship diagram; constructing a cumulative pollutant flushing volume-cumulative rainfall relationship diagram based on water quality and flow monitoring data; constructing a net interception rainfall-interception ratio-rainfall relationship diagram for the study area; determining key rainfall intervals based on the pollutant flux and water quality of each rainfall event; determining the initial stormwater interception standard based on the net interception rainfall-interception ratio-rainfall relationship diagram and the key rainfall intervals; and determining the total volume of the interception pool based on the initial stormwater interception standard. This application can reduce non-point source pollution load while improving the operational efficiency and management level of interception facilities.

This invention belongs to the field of analytical technology, specifically relating to a method, system, and terminal for non-point source pollution analysis based on the SWAT model and QGIS. This invention constructs a digital model based on the spatial distribution coordinates of monitoring points and pollutant loading, and inputs this model into the SWAT model for operation. By obtaining the connectivity relationships between simulated water bodies, the core water body is determined. Then, combined with QGIS, the subset and main water bodies of this core water body are obtained, and the corresponding sub-regions are identified as suspected and key areas. This establishes a direct correlation between pollutant loading and hydrological transport paths, making the identification of pollution source areas no longer limited to spatial statistics, thus improving the reliability and scientific rigor of the pollution source area identification results.

This invention provides a method and system for early warning of non-point source pollution release risks in the drawdown zone of the Three Gorges Reservoir area, relating to the field of non-point source pollution monitoring and early warning technology. The method includes: acquiring and preprocessing multi-temporal multispectral image data of the drawdown zone to extract vegetation stress characteristic indices and soil spectral characteristics; constructing a synergistic inversion model of vegetation stress indices and soil organic matter content to obtain the spatial distribution of soil organic matter content; establishing a soil organic matter accumulation-release coupled model by combining water level scheduling plans and topographic data to simulate the release flux and its spatiotemporal distribution under different water storage scenarios; constructing a non-point source pollution release risk index and classifying early warning levels, and outputting the risk warning results. This invention achieves synergistic monitoring of vegetation stress status and soil organic matter content in the drawdown zone, improves the spatiotemporal continuity of monitoring, and provides decision support for early warning and control of non-point source pollution release risks under water storage conditions.

This application provides a method and system for constructing multi-scale collaborative monitoring of agricultural non-point source pollution. The method includes: constructing field units, transport units, and convergence units; establishing cross-scale mapping relationships from field units to transport units and from transport units to convergence units based on hydrological connectivity and irrigation / drainage engineering topology; generating evidence objects associated with unit identifiers and writing these evidence objects into an evidence index; performing constrained fusion updates on a pollution state inference model based on event-level joint observation data to output pollution state estimates for each unit, convergence unit load estimates, and corresponding uncertainty intervals; generating a collaborative monitoring construction strategy based on the uncertainty intervals and cross-scale mapping relationships, and outputting the collaborative monitoring construction strategy for constructing or updating a multi-scale collaborative monitoring network for the target area. This application can improve cross-scale monitoring consistency, increase the accuracy of event peak capture, enhance the reliability of fusion results, and improve network update efficiency.

The present application relates to the technical field of water environment simulation, and particularly relates to a watershed non-point source pollution simulation method based on one-dimensional water flow evolution process simulation. The method comprises the following steps: obtaining a digital elevation model and extracting a main flow concentration path of a watershed; dividing the main flow concentration path of the watershed into a plurality of one-dimensional water flow evolution units; obtaining rainfall data; determining inflow of the one-dimensional water flow evolution units according to the rainfall data; inputting the inflow into the one-dimensional water flow evolution units to form an initial water quantity sequence; performing time sequence simulation according to the initial water quantity sequence to calculate instantaneous flow; determining water flow transport dynamics according to the instantaneous flow; and evaluating surface runoff scouring intensity based on the water flow transport dynamics. The present application improves the accuracy of the calculation of the migration rate and migration distance of pollutants by continuously simulating the migration process of watershed non-point source pollution in the one-dimensional water flow evolution units based on water environment simulation technology.

An integrated air-ground monitoring system and method for agricultural non-point source pollution based on transmission tower edge collaboration is disclosed. The system includes tower edge sensing nodes, UAV collaborative terminals, and a cloud management platform. The tower edge sensing nodes are equipped with self-powered power supply, multi-dimensional sensing, edge computing gateways, and heterogeneous communication modules. The UAV collaborative terminals are equipped with automatic drone nests and inspection UAVs with electromagnetic compatibility design. The cloud management platform realizes functions such as digital twins and data fusion. The monitoring method collects data through the tower edge sensing nodes in a normalized mode triggered by rainfall. The data is initially screened for pollution through an improved MASFNet network built into the edge gateway. When pollution is suspected, the UAV is awakened. An electromagnetic environment adaptive flight path is planned through an electromagnetic-environment integrated potential energy field model. After the UAV collects detailed evidence, it transmits the data back to the gateway and then uploads it to the cloud management platform via OPGW optical fiber. The cloud management platform completes the pollution diffusion display and source tracing analysis.

The utility model relates to the technical field of watershed pollution monitoring, and discloses a monitoring device for small watershed non-point source pollution, which comprises a base, an adjusting assembly is arranged at the middle end of the base, the adjusting assembly comprises a motor arranged at the upper end of the base, a ball screw is arranged at the output end of the motor, and the ball screw is connected with the base. The upper end of the outer wall of the ball screw is sleeved with a ball screw sleeve, a first sliding rod is inserted into the end, symmetrical to the ball screw, of the ball screw sleeve, and a connecting frame is arranged on the outer wall of the ball screw sleeve. When the water quality of a water area needs to be detected, a motor can be started to drive a ball screw to rotate, the ball screw drives a ball screw sleeve to move downwards along a first sliding rod, the descending depth of a detection probe is measured through scales, the detection probe can move up and down in the vertical direction, and the water quality of different depths of the water area is detected; and the protective net is arranged to prevent hard impurities such as silt in water from impacting the detection probe under the driving of water flow to damage the detection probe.

This invention belongs to the field of pollution monitoring technology, specifically relating to a monitoring, analysis, and early warning method and system based on agricultural non-point source pollution data. The method includes: setting multiple control points and defining their associated directions; calculating associated scores along each associated direction to quantify the pollution level; determining the pollution diffusion direction by comparing the maximum associated score with a benchmark associated score; determining the effective associated area by judging whether the difference between the maximum and benchmark associated scores exceeds an associated early warning difference threshold; and adding associated control points within the effective associated area; finding and removing secondary control points within the effective associated area, while retaining the associated areas associated with the secondary control points, thus optimizing the monitoring network. This invention can transform the monitoring of discrete control points into dynamic analysis of pollution diffusion paths, revealing the trend and intensity of pollution source diffusion to downstream areas, and improving the accuracy of monitoring analysis and the effectiveness of early warning.