21 results about "Watershed scale" patented technology

The invention provides a dynamic grid updating and scheduling method and system for watershed scale ecological restoration. The system comprises a data fusion access module, a dynamic grid generation module and a central cooperative controller. The data fusion access module is used for receiving multi-source heterogeneous data, the dynamic grid generation module is used for constructing an initial watershed grid by adopting a quadtree space division algorithm based on the multi-source heterogeneous data, and the central cooperative controller is used for periodically scanning a full-watershed grid set. Comprehensively judging information value density and updating urgency of each grid according to a multi-dimensional index; by adopting the above technical scheme, the autonomous evolution and precise adaptation of the watershed spatial discretization unit can be realized, the global monitoring breadth and the local description precision are dynamically balanced, and the response sensitivity to an emergent ecological event is improved.

The invention provides a basin sediment budget calculation method, which comprises the following steps of: arranging various types of collected basic data of a target basin into a grid form, carrying out uniform space registration, and dividing the various types of basic data based on a small basin boundary serving as a space unit of sediment budget calculation; for each small watershed, respectively calculating gravitational erosion, debris flow erosion, channel erosion and slope erosion to obtain spatial and temporal distribution of various erosion amounts and the total erosion amount in the target watershed; respectively calculating the sediment yield and the deposition rate of the small watershed scale aiming at the four types of erosion; on the basis of the calculated sediment production, the sediment transport amount of the small watershed suspended load in the main river water system is calculated section by section according to the upstream and downstream relation of the convergence river position of each small watershed in the target watershed, and distribution of the sediment transport amount of the suspended load in the flowing direction of the main river water system is obtained in combination with sand digging, reservoir sedimentation and the input amount and the output amount of the suspended load in the river reach. According to the method, the sediment space-time distribution in the basin erosion and basin sand-producing river sediment transportation multi-physical process can be comprehensively quantified.

The invention provides a drainage basin sediment prediction method, which comprises the following steps of: sorting various kinds of collected basic data of a target drainage basin into a grid form, carrying out unified space registration, and dividing the basic data based on a small drainage basin boundary serving as a sediment prediction space unit; for each small watershed, respectively predicting gravitational erosion, debris flow erosion, channel erosion and slope erosion to obtain future spatial and temporal distribution of various erosion amounts and the total erosion amount in the target watershed; for the four types of erosion, the future sediment yield and deposition rate of the small watershed scale are calculated respectively; and on the basis of the future sediment production, the small watershed suspended load sediment transport amount in the main river water system is calculated section by section according to the upstream and downstream relation of the convergence river position of each small watershed in the target watershed, and distribution of the suspended load sediment transport amount in the flowing direction of the main river water system is predicted in combination with sand digging, reservoir sedimentation and the input amount and the output amount of the suspended load in the river reach. The method can predict the sediment space-time distribution in the basin erosion and basin sand-producing river sediment transportation multi-physical process.

The invention discloses a basin sand reduction efficiency evaluation and regulation method based on a reservoir group topological structure, and belongs to the field of hydraulic engineering, and the method comprises the steps: S1, inputting basin hydrological data; s2, calculating accumulated runoff sediment transport and drawing a double-accumulation curve; s3, recognizing turning years of human activities on the water-sediment relationship through the double-accumulation curve mutation points, and dividing a natural period and a human influence period by combining the mutation points; s4, analyzing a water-sediment relationship, and calculating a drainage basin sediment reduction amount; s5, determining the topology type of the reservoir; s6, calculating an effective control drainage basin area; s7, establishing a relationship between the effective control basin area and the sand reduction rate; and S8, nonlinear regression equation modeling is carried out. The topology cutting effect theory is applied to reservoir group sand reduction efficiency evaluation, and the error problem of a traditional linear superposition model is solved; dynamic prediction of the long-term sand reduction cumulative effect of the cascade reservoir group under the watershed scale is realized; quantitative decision support is provided for newly-built reservoir site selection and built reservoir group optimization scheduling, and the river channel siltation treatment cost is reduced.

The application belongs to the technical field of hydrology, and provides a watershed vegetation and precipitation characteristic model determination method based on evaporation force, an electronic device and a storage medium, which comprise data acquisition, evaporation force calculation model construction, evaporation force calculation model optimization, Gaussian interpolation processing, and evaporation force attenuation area and attenuation zone identification; the application can accurately invert the spatial distribution of evaporation force from reanalysis data such as temperature, humidity and air pressure by introducing the static force balance formula and the Clausius-Clapeyron equation, has good physical consistency and applicability; by fusing real-time leaf area index, the evaporation force model can respond to different underlying surface ecological characteristics, and the explanatory power of the model on the vertical water vapor transport mechanism is improved; by constructing the evaporation force field through Gaussian interpolation and Kriging algorithm, the evaporation force attenuation area is identified along the gradient direction, and then the precipitation spatial attenuation model is established, so that the response mechanism of precipitation on the watershed scale is effectively described.

The invention provides a complex watershed short-time flood response intelligent forecasting method based on satellite rainfall perception, and relates to the technical field of hydro-meteorological monitoring and disaster prevention and reduction. The method comprises the following steps: acquiring satellite rainfall data of a target drainage basin observed by a multi-channel satellite, and preprocessing the satellite rainfall data; inputting the preprocessed satellite precipitation data into a short-time precipitation prediction model, and outputting a short-time satellite precipitation prediction result; and inputting the short-time satellite precipitation prediction result into a semi-distributed hydrological model, simulating and generating a flood response process of a watershed scale, and outputting predicted flood process data. According to the method, the precision problem of short-time rainfall prediction of the complex drainage basin is solved, and the timeliness and stability of flood prediction are improved.

The invention discloses a current disaster risk assessment method and system based on level connection quantitative early-stage disaster influence, belongs to the crossing field of disaster risk management and water conservancy projects, and is suitable for risk assessment of drought, flood and other disasters in a watershed scale. The method aims at solving the problems that early-stage disaster influences are difficult to quantify, the memory effect lacks an attenuation mechanism and assessment scene coverage is limited in the prior art. The method comprises the following steps: acquiring early-stage disaster and current disaster data; memory parameters such as soil drought depth and vegetation damage rate are calculated; constructing a level correlation number containing same-part (enhancement), different-part (uncertainty) and inverse-part (weakening) coefficients; correcting the level connection number through an index / linear / power function attenuation model; and adjusting the current disaster reference risk value in combination with the level connection number to obtain a final risk value. The system comprises a data acquisition module, a memory parameter calculation module, a level contact number construction module, a time correction module, a risk calculation module and a result output module. According to the method, the quantification problem of early-stage disaster influence is effectively solved, the evaluation precision is remarkably improved, the error rate is reduced from 22%-31% to 7%-9%, four typical disaster combination scenes of drought-drought, drought-flood, flood-flood and flood-drought can be covered, the method has good watershed adaptability and practicability, and the method is suitable for popularization and application. And a more scientific and operable basis is provided for a disaster prevention and reduction decision of a drainage basin.

The present application relates to the technical field of water and soil conservation, and provides a dynamic calculation method for the sand blocking capacity of a silt dam system at a watershed scale, wherein a spatially distributed water and sediment process model is constructed to obtain the water and sediment inflow of different sub-watersheds, which in turn drives a silt dam sediment blocking simulation module constructed by the present application to realize the spatio-temporal dynamic simulation of the sediment blocking of the silt dam system at the watershed scale. The calculation method provided by the present application not only provides effective support for the problem solving of the sediment reduction benefit estimation of the silt dam at the watershed scale and the Yellow River harnessing, but also provides algorithm support for the planning and design of the silt dam and the efficient utilization of water and soil resources.

The invention discloses a watershed scale ecosystem carbon reserve and carbon flux expression method, which belongs to the technical field of carbon reserve and carbon flux expression methods, and realizes dynamic expression of watershed scale ecosystem carbon reserve and carbon flux by constructing a carbon reserve matrix and a carbon flux matrix and integrating transverse carbon migration and dissolved inorganic carbon flux. The carbon reserve matrix comprises overground and underground biomass carbon reserves of an arbor layer, a shrub layer and a herbaceous layer and carbon reserves of dead standing trees, litters, a soil layer, a wetland and an aquatic ecosystem of each pattern spot in the drainage basin, and calculating the total carbon reserves of each pattern spot and the drainage basin; the carbon flux matrix comprises the carbon reserve variable quantity and the carbon migration flux of each pattern spot carbon library in different time intervals, and the carbon exchange flux, the water body carbon flux and the DIC related flux of the ecological system and the atmosphere at the same time.

The present application relates to a kind of water quantity and water quality automatic regulation and control method, device, storage medium and electronic equipment at watershed scale, the method comprises: constructing watershed SWAT model, the model parameter of watershed SWAT model is verified, obtain the watershed SWAT model after verification, obtain the meteorological data of target region in target period predicted by atmospheric circulation model;The target water quantity and water quality of the target region in the target period are obtained, meteorological data is input into the watershed SWAT model after verification, obtain the water quantity and water quality of target region in target period, the water quantity and water quality regulation and control measure parameter of best management measure in the watershed SWAT model after verification is adjusted using non-dominated sorting genetic method with elite strategy, until the deviation between water quantity and water quality of target period and target water quantity and water quality is within the threshold range for stopping, obtain the water quantity and water quality regulation and control measure of the target region, reduce the artificial cost, improve the efficiency and precision of water quantity and water quality regulation and control.

The invention relates to the technical field of water and soil conservation, in particular to a wind-driven rain erosion risk assessment method for a natural watershed, which accurately identifies wind-driven rain events meeting specific wind speed, rain intensity and wind direction stability conditions by fusing DEM, weather and underlying surface data, and breaks through the limitation of traditional vertical rainfall hypothesis. A pixel-by-pixel calculation mode is adopted, wind power kinetic energy enhancement, a raindrop impact angle and a surface roughness effect are comprehensively considered, wind-driven rain action intensity and a surface sensitivity index are constructed, a wind-driven rain erosion risk index with clear physical significance is obtained, and risk grade division is realized through a quantile method. According to the method, complex numerical simulation is not needed, rapid, quantitative and spatial refined evaluation of the watershed scale wind-driven rain erosion risk can be achieved only by relying on conventional meteorological data, the problems that in the prior art, spatial heterogeneity is neglected, a complex model is relied on, and the cost is high are effectively solved, and a reliable basis is provided for watershed water and soil conservation and disaster prevention and control.

The invention discloses a watershed scale GPP change driving factor analysis method and system, and belongs to the technical field of ecological system carbon sink monitoring, and the method comprises the steps: firstly obtaining a multi-source data set, and completing data preprocessing through space-time matching and vegetation type classification; extracting regional features such as static features and dynamic features, and carrying out space-time alignment; a random forest regression model is constructed based on the classification and regression tree, and training and verification are carried out; and finally, calculating the relative contribution degree of each driving factor to GPP change based on a random forest regression model, identifying a key driving factor, and carrying out multi-scale driving mechanism analysis. By adopting the drainage basin scale GPP change driving factor analysis method and system, the problems of insufficient nonlinear analysis, low data fusion efficiency, extensive regional analysis and the like in the prior art are solved, the GPP driving factor analysis precision is remarkably improved, and scientific basis and technical support are provided for drainage basin carbon sink management.

A kind of multi-system research method for watershed ecosystem service and water and soil resources, it relates to the technical field of watershed ecosystem service, including method one, watershed scale ecosystem service evaluation based on discrete wavelet transform model;Method two, watershed water and soil resource matching calculation combined with information entropy theory;Method three, establish the multi-system coupling coordination model of watershed ecosystem service and water and soil resources.The present application realizes the quantitative expression of the correlation and response relationship of the multi-system of watershed ecosystem service and water and soil resources and the accurate evaluation of watershed scale ecosystem service, and provides a more easy-to-understand and simple operation mode for watershed decision makers.

The application provides a method and system for long-term reconstruction of groundwater storage GWS at a watershed scale, comprising: obtaining and fusing long-term meteorological and hydrological data calibrated in 1960-2023 and short-term total land water storage TWS after 2002; calculating a short-term groundwater GWS sequence according to a water balance equation ΔTWS = ΔSWS + ΔSMS + ΔGWS at a watershed scale; using the short-term groundwater GWS sequence and the part after 2002 in the fused long-term meteorological and hydrological data as target data and driving data to train a random forest RF sub-model of an RF-KF coupled model; inputting the fused long-term meteorological and hydrological data into the trained random forest RF sub-model to obtain a long-term prediction result of the groundwater storage GWS; replacing the output of a prediction module of a Kalman filter KF sub-model with the long-term prediction result of the groundwater storage GWS, using an updating module of the Kalman filter KF sub-model to simulate time dynamics and correct accumulated errors in long-term prediction, and obtaining a final long-term reconstruction result of the groundwater storage GWS. The application can perform long-term reconstruction of GWS.

The present application relates to the technical field of water and soil conservation, and particularly relates to a wind-driven rain erosion risk assessment method for a natural watershed, which precisely identifies wind-driven rain events meeting specific wind speed, rain intensity and wind direction stability conditions by fusing DEM, meteorological and underlying surface data, and breaks through the limitations of traditional vertical rainfall assumption. The wind-driven rain erosion risk index with clear physical meaning is obtained by using the pixel-by-pixel calculation method, comprehensively considering the wind power kinetic energy enhancement, raindrop impact angle and surface roughness effect, constructing the wind-driven rain action intensity and surface sensitivity index, and realizing the risk grade division through the quantile method. The present application does not need complex numerical simulation, and can realize the rapid, quantitative and spatial fine evaluation of the wind-driven rain erosion risk of the watershed scale only by relying on the conventional meteorological data, effectively solves the problems of neglecting spatial heterogeneity, relying on complex models and high cost in the prior art, and provides a reliable basis for watershed water and soil conservation and disaster prevention and control.

The invention relates to the technical field of water and sediment power simulation, in particular to a distributed drainage basin water and sediment form power process numerical simulation method and device. A water-sand mixture continuous equation, a water-sand mixture motion equation, a sediment continuous equation and a riverbed deformation equation are solved simultaneously, a river channel water-sand form power module is developed, and then the river channel water-sand form power module is coupled with a preset land surface hydrological model and a preset slope sediment erosion model; a land hydrology-slope erosion-river channel water and sediment form dynamic process model is established, and then model calibration and verification are carried out by utilizing actually measured flow and sediment flux, so that the model is utilized to simulate a hydrology process, a slope erosion process and a river channel water and sediment form dynamic process of a watershed scale. Therefore, the problems of difficulty in adapting to calculation requirements of long-time and large-watershed scales, limitation in practical application and the like in the prior art are solved.

The invention relates to the technical field of environmental monitoring and pollution traceability, and discloses a drainage basin scale perfluorinated compound tracing method and system based on artificial intelligence, and the method comprises the steps: integrating multi-source data in a drainage basin, and constructing a drainage basin multi-source data cube with unified space-time granularity; a perfluorinated compound structure is identified through a deep learning model of virtual spectrogram enhancement training, pollutant space-time concentration distribution is simulated in combination with a graph neural network of a physical mechanism, potential emission source contribution is inversed by utilizing attention mechanism back propagation and source feature fingerprint matching, a pollution source contribution thermodynamic diagram and a priority management and control enterprise list are output, and the perfluorinated compound structure is obtained. The core problems that in drainage basin scale perfluorinated compound traceability, joint analysis of multi-source data is difficult, unknown compounds are difficult to recognize, and multi-source superposition contribution cannot be quantified are solved, and support is provided for precise pollution treatment.

The invention discloses a stable and suitable coordination method, equipment, medium and product for mountain, water, forest, lake, grass and sand in a watershed, and relates to the field of ecological hydrological protection and governance, and the method comprises the following steps: carrying out grid processing on a research area, dividing the watershed into a plurality of research units, and according to watershed basic data corresponding to each research unit, calculating the watershed basic data corresponding to each research unit; a multi-objective optimization model for the inland river basin is constructed by taking ecological optimization and hydrological function balance optimization as objectives, grain and livestock yield maximization as objectives, water resource distribution efficiency optimization as objectives, environmental restoration cost minimization as objectives, social change minimization as objectives and environmental risk minimization as objectives; and solving the model through a hybrid algorithm combining a genetic algorithm and a particle swarm optimization algorithm to obtain a stable and suitable coordination result of the watershed mountain, water, forest, lake, grass and sand. According to the method, overall optimization and dynamic coordination of multiple elements on the watershed scale can be achieved, and the long-term stability and suitability requirements of a complex watershed ecological system are met.

The application discloses a kind of entity simulation methods of the influence of channel gravity erosion on small watershed water and sediment production and transport process, comprising: establishing small watershed entity model, artificial soil in channel is stacked to simulate different positions, scale, quantity of gravity erosion accumulation body;Using artificial rainfall system driving runoff and sediment production, combined with 3D laser terrain scanner to obtain millimeter level terrain point cloud data before and after rainfall, and runoff sediment sample is collected at model export and channel section, and water flow parameter is measured.Trial is obtained by comparing multiple scenarios, runoff field distribution, sediment transport process and soil erosion-deposition spatial distribution data under different gravity erosion scenarios.The application realizes the coupling simulation of gravity erosion and water and sediment production and transport process, and can quantitatively analyze the influence of gravity erosion on runoff sediment concentration, runoff and sediment production time sequence change and topographic erosion and deposition evolution, to provide test platform and data basis for watershed water and soil conservation and water and sediment coupling model construction considering channel gravity erosion process at watershed scale.

The application discloses a watershed system-based pollution collaborative control optimization method and system, relates to the field of watershed environmental management and pollution control, and comprises the following steps: setting a pollutant concentration target of a watershed outlet, and collecting hydrological and water quality data. By analyzing the section relationship of the trunk stream and the branch stream, a contribution coefficient method or a model prediction method is selected according to the linear degree, and a quantitative response relationship between the upstream pollution load and the outlet water quality is established. A multi-objective algorithm is used to obtain an optimal allocation scheme set of the pollution load by taking the fairness of burden reduction and the total quantity efficiency as targets. Based on the scheme characteristics of different water conditions, and the social economy and engineering feasibility, a control scheme and a concentration control target are selected, which give consideration to the fairness and the efficiency. The application realizes precise total nitrogen emission reduction and sea inlet concentration control at the watershed scale, adapts to complex water conditions of large watersheds, solves the problem that the existing control target backstepping method is not applicable to large watersheds, and improves the systematicness and scientificity of total nitrogen pollution treatment of large watersheds.

The application discloses the technical field of environmental governance, and relates to a watershed nitrogen flux local accounting method, which comprises the following steps: delimiting the geographical boundary of a target watershed, and performing analytical matching on the administrative division of the target watershed and the natural watershed of the target watershed; determining a natural subsystem, obtaining dynamic correlation data among the natural subsystems and the main component units of each natural subsystem; constructing a two-way reconciliation mechanism and nitrogen flow connection among the natural subsystems, obtaining nitrogen flow relationship, and obtaining a nitrogen subsystem; establishing a nitrogen material flow model of each nitrogen subsystem; and performing local processing on general parameters in the nitrogen flow model to obtain local parameters. The application can ensure nitrogen mass conservation at the watershed scale, realize matching of emission responsibility and environmental impact, and improve the accuracy of environmental nitrogen emission calculation by constructing a reconcilable cross-border flow network.