6 results about "SWAT model" patented technology

The application discloses a hilly mountainous basin water quality pollution prediction method based on a SWAT hydrological model and a PLUS land use prediction model, and comprises the following steps: data collection and preprocessing: collecting relevant data of a basin to be predicted and preprocessing; SWAT model construction and rating: constructing a SWAT model of the basin, and rating and verifying model parameters by using historical hydrological and water quality data; PLUS model construction and land use prediction: constructing a PLUS model of the basin based on historical land use data and driving factor data, and simulating land use changes under different future scenarios; SWAT-PLUS model coupling: inputting future land use data predicted by the PLUS model into the SWAT model, simulating hydrological processes and water quality changes under different future scenarios; water quality pollution prediction and analysis. The application can comprehensively consider the influence of hydrological processes and land use changes on water quality pollution, thereby accurately predicting the water quality pollution condition of the hilly mountainous basin, and providing a scientific basis for basin water environment management.

The application discloses a watershed water and sediment nitrogen and phosphorus driving mechanism quantitative analysis method, relates to the field of quantitative analysis, acquires target watershed basic data and constructs a SWAT model, calibrates and verifies the model; climate change and agricultural management scenarios are set, the temporal and spatial loss processes of the water and sediment nitrogen and phosphorus of the watershed under different scenarios are simulated through the SWAT model; a prediction model is constructed based on the simulation results of the SWAT, and the influence degree of each driving factor on the loss of the water and sediment nitrogen and phosphorus is quantified in combination with the SHAP method; based on the spatial distribution characteristics and the SHAP quantification results, high loss areas and key driving factors are identified, and a partitioned management strategy is proposed. Through the comprehensive physical process simulation capability of the SWAT model, the nonlinear relationship capturing advantage of the XGBoost model and the driving mechanism analysis function of the SHAP method, systematic quantitative analysis of the driving mechanism of the loss of the water and sediment nitrogen and phosphorus of the watershed is realized, and scientific basis is provided for precise control and adaptive strategy making of the watershed.

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.

The invention relates to the technical field of pollution traceability, and discloses a multi-scale coupled drainage basin pollution step-by-step traceability method, device and equipment and a medium, and the method comprises the steps: obtaining an initial simulation result of each sub-drainage basin outputted by a target SWAT model; determining a key sub-basin based on the initial simulation result; calling an APEX model to simulate by taking the key simulation result corresponding to the key sub-basin as a boundary condition to obtain an intermediate simulation result of the key sub-basin; performing grid unit division on the sub-region of the intermediate simulation result; determining a grid environment index of each grid unit; taking the initial simulation result and the intermediate simulation result as dependent variables, taking the grid environment index as an independent variable, and constructing a quantitative relationship between the grid environment index and the pollution load capacity; constructing a spatial distribution map based on the quantitative relationship; and tracing the target pollution load capacity of the target grid unit based on the spatial distribution diagram. According to the scheme, step-by-step traceability from the drainage basin to the sub-drainage basin and then to the grid can be realized, the problem of traceability intermediate fault in the prior art is solved, and the traceability accuracy is improved.

This application discloses a method and apparatus for simulating snow runoff based on a SWAT model and remote sensing inversion, relating to the field of refined watershed runoff management technology. The method includes: performing cloud removal operations on optical remote sensing data of the target area to obtain cloud-free imagery; determining various satellite remote sensing parameters based on the cloud-free imagery using optical remote sensing and remote sensing inversion techniques; downloading various climate data for the target area based on ERA5 data; and simulating snow runoff in the target area using a SWAT model based on soil survey data, various satellite remote sensing parameters, and various climate data. This application's snow runoff simulation based on soil survey data, various satellite remote sensing parameters, and various climate data can improve the accuracy of snow runoff simulation in information-scarce areas.

The application discloses a kind of blue-green water dependent structure analysis and evaluation method based on hydrology physics and high-dimensional statistical model belonging to water resource evaluation and hydrology risk early warning technical field. Including: obtaining the data of target basin;SWAT model is constructed, and sensitivity analysis and rating verification are carried out to model parameter, and the calibrated SWAT model is obtained;Extract the key characteristic variable of target basin;According to the key characteristic variable, the optimal probability distribution model is selected to carry out edge distribution fitting, and is converted into the standard uniform distribution on [0,1] interval by probability integral;Five-dimensional Vine Copula model is constructed;Monte Carlo random simulation is carried out, the joint cumulative probability of different hydrological variable combination is calculated, and the statistical risk evaluation result of blue-green water extreme shortage event is output.The method of the application realizes the deep coupling of hydrological physical process and high-dimensional statistical model, and greatly improves the reliability of extreme compound hydrological risk assessment.