72 results about "Fluvial" patented technology

The application discloses a kind of lake total phosphorus concentration spatio-temporal evolution and driving factor identification method, and the application relates to water environment monitoring technical field, constructs water body, sediment and in and out lake river multi-medium linkage analysis system, carries out multi-scale spatio-temporal evolution analysis and multi-path mechanism quantization, realizes the accurate identification of scene main control driving factor, and the standardization analysis process is formed by verification solidification, the application has the advantages that by constructing water body, sediment and in and out lake river multi-medium linkage full-dimensional analysis system, simultaneously integrate multi-source spatio-temporal data covering full lake area function partition, complete hydrological year cycle, carry out the coupling analysis of multiple time scales and multiple spatial dimensions, break through the industry common defects that the evolution law of total phosphorus concentration is not comprehensive, data is insufficiently representative, and the whole chain variation characteristics cannot be clarified, caused by the fact that the prior art only focuses on single medium of water body, uses scattered point position low-frequency monitoring data.

The application discloses a kind of multi-river confluence material source source-sink analysis method and analysis device, and multi-river confluence material source source-sink analysis method includes: obtaining the content of each heavy mineral in each mineral sample in research area, and research area is the collection area of multiple rivers;According to the heavy mineral assignment formula, the sum of the heavy mineral content of each mineral sample is calculated, and the mineral samples in the research area are classified according to the calculation result, and the source direction of each type of mineral is analyzed;According to the classification result of mineral sample, the ratio method is used to cluster analysis on the mineral sample in each type of mineral, and a cluster diagram is obtained;Based on the cluster diagram, and combined with the source direction of each type of mineral and the geological characteristics of research area, the source direction of each mineral sample in each type of mineral in research area is determined by using fuzzy cluster analysis method;It can further finely divide the source direction, improve the accuracy of source source-sink analysis result, and the analysis operation convenience.

This invention discloses a river flow monitoring system and method based on ultra-high frequency side-scan radar. The data acquisition module is deployed on the riverbank to acquire multi-channel raw echo data required for river hydrological parameter inversion. The river flow monitoring cloud platform processes, analyzes, displays, and stores the data acquired by the data acquisition module, and sends corresponding instructions to the data acquisition module. This solution uses a database to correlate and store hydrological data, meteorological data, cross-sectional geometric data, and comparative measurement data in a time series manner, providing a solid data foundation for in-depth data mining, model optimization, and trend prediction. Furthermore, the data analysis considers the impact of complex tidal dynamic modulation in tidal river sections on river flow calculation. A tidal phase correction term is introduced into the index velocity method model, effectively eliminating the systematic bias caused by tidal dynamic modulation in the calculation.

The embodiment of the invention provides a thin interlayer and phase control physical property cause sand body configuration model construction method and system, and belongs to the technical field of reservoir modeling. The method comprises the following steps: identifying fluvial facies reservoir distribution characteristics based on exploration data, and constructing a corresponding cause sand body reservoir configuration model; obtaining a corresponding small-layer sand body deterministic model based on the cause sand body reservoir configuration model; on the basis of the deterministic model of the small-layer sand body, performing representation of an internal configuration interface of the sand body based on a lateral lamination model and an adaptive triangular mesh generation algorithm; and generating a distribution model of each lithofacies unit based on representation of a configuration interface in the sand body, and constructing a physical property model for fine modeling and heterogeneity description of high and low permeability sections in the configuration based on a phase control stochastic simulation method. According to the scheme, the limitations of insufficient precision, unreasonable transition and low calculation efficiency in traditional modeling are effectively overcome, and high-precision geologic model support is provided for reservoir management and oil reservoir development.

The application discloses the technical field of soil and water loss protection devices and relates to a soil and water conservation device for reducing river sediment accumulation, which comprises a mounting seat and symmetrically arranged sand taking pool groups, the sand taking pool groups comprise sand storage pools and sand setting pools arranged in sequence, and conveying belts are arranged between the sand storage pools and the sand setting pools; an upwardly protruding and downwardly inclined drainage table towards the two side sand setting pools is fixedly arranged at the top of the mounting seat, a drainage groove downwards inclined towards the two side sand setting pools is arranged in the middle of the drainage table, the drainage groove is communicated with the sand setting pools, and the drainage table and the drainage groove are arranged in sequence according to the flowing direction of the river.

The method for identifying microfacies of fluvial facies sand bodies relates to the field of oilfield reservoir prediction, and solves the problem that the existing microfacies division method of fluvial facies cannot reflect the internal differences of microfacies, cannot realize the study of internal heterogeneity of microfacies, and thus cannot finely identify and depict the fluvial facies sand bodies. The method comprises the following steps: S1: establishing a microfacies classification standard of fluvial facies sand bodies according to the physical property differences of the sand bodies; S2: using a formation coefficient Kh value as a quantitative index for judging the microfacies of the fluvial facies sand bodies, and judging the microfacies types of the fluvial facies sand bodies based on the established microfacies classification standard of the fluvial facies sand bodies; and S3: identifying the microfacies boundaries of the fluvial facies sand bodies based on the judged microfacies types of the fluvial facies sand bodies. The method realizes the characterization of the internal heterogeneity of the original same-type microfacies reservoir, finely describes the heterogeneity distribution characteristics of various microfacies reservoirs in a fluvial environment, deepens the understanding of the internal configuration characteristics of the microfacies sand bodies, and can finely and comprehensively identify and depict the microfacies of the fluvial facies sand bodies.

This invention discloses a method for calculating river ecological flow based on ecological environment distribution, belonging to the field of water conservancy engineering technology. The method includes: dividing the target river segment into multiple river control sections based on river body information and river engineering information; obtaining ecological environment distribution information in the target river segment and dividing the target river segment into multiple ecological control sections based on the ecological environment distribution information; calculating the first ecological flow of each river control section using hydraulic and hydrological methods; calculating the second ecological flow of each ecological control section based on the ecological environment distribution information; and determining the expected ecological flow based on the first and second ecological flows. This invention fully considers the differences in ecological flow among different section types, obtaining a more scientific expected ecological flow; and employs different discharge control methods for the expected ecological flow during normal and sensitive periods, achieving refined management of river ecological flow, facilitating implementation and possessing practicality.

This invention discloses a method for monitoring long-term changes in primary productivity of rivers at a continental scale, belonging to the technical field of river ecosystem monitoring. The method involves determining the effective duration of daytime each day, forming a daily-scale meteorological and hydrological element time series, and selecting high-quality primary productivity data. The daily-scale meteorological and hydrological element time series and watershed attributes are fused to form daily input features, with high-quality primary productivity data used as output variables. A continental-scale river primary productivity simulation model is constructed and optimized. The trained simulation model outputs simulated river primary productivity values, generating daily-scale primary productivity time series data. The mean and annual mean of primary productivity are calculated, and the correlation between the annual time series and the annual mean is analyzed. This invention uses daily-scale meteorological and hydrological elements and constant watershed attributes as inputs, combined with a long short-term memory network deep learning algorithm, thus overcoming the strong dependence of traditional methods on minute- to hourly high-frequency dissolved oxygen monitoring data.

The invention discloses a self-adaptive flood-drought mutual aid system and method for a river channel in an arid region based on terrain remodeling, and belongs to the technical field of ecological water conservancy projects. The system comprises a water and sediment separation topographic unit, a threshold value overflow topographic unit, a narrow and deep evaporation restraining topographic unit and an outer side beach overflowing flood area which are sequentially arranged in the water flow direction and coupled. A bottom plate of the water-sediment separation shape unit is provided with a transverse slope inclining towards an outer side concave bank, and bottom layer sediment is guided by gravity to be conveyed to the outer side; the narrow-deep evaporation-inhibiting terrain unit adopts a narrow-deep compound section with a large depth-to-width ratio to collect clear water so as to inhibit evaporation; and the top of the threshold overflow terrain unit forms a physical threshold for flood and drought switching. The invention further discloses a corresponding implementation method. According to the system, by remodeling the geometric shape of a riverbed, self-adaptive switching between clear water returning, efficient sand discharging and evaporation restraining in the dry season and muddy water beach overflowing, ecological supply and automatic dredging in the flood season is achieved, and the problems of water-sand contradiction and ecological water use of wandering rivers in the arid region are effectively solved.

This invention provides a device and method for simulating sediment resuspension under hydrodynamic action, relating to the field of sediment simulation. Addressing the problem that current wave-generating simulations of dynamic disturbances easily lead to the breakage of suspended particles, this invention simulates the action of water flow in a natural river by installing baffles within the water tank cavity to form multiple flow channels. The segmented circulation of water flow simulates the sediment resuspension process. When the grid blades agitate the water, the grid structure divides the water flow into multiple smaller streams, thus dispersing the force of the water flow. The originally concentrated impact force is dispersed to various parts of the grid, and when it is transmitted to the suspended particles, the magnitude and concentration of the force are significantly reduced, preventing the particles from breaking due to excessive external force.

A processing device 1 comprises: a first calculation unit 32 that calculates the effective water consumption for each contained area obtained by dividing each partitioned region of an aggregation target, and also calculates, for each contained area, the river flow rate from the contained area to the adjacent contained area downstream on the basis of the river flow rate at the downstreammost point of the contained area and the effective water consumption for the contained area, said each contained area including an edge among the edges of river data 12 that does not cross the boundary of each region, and not including edges of other rivers; and a second calculation unit 33 that calculates the amount of water resources in each region on the basis of the river flow rate from each contained area to the adjacent contained area downstream and the outflow rate in each region.

This application discloses a multi-scale attribution identification method for baseflow changes in rivers in high-altitude and cold regions. By constructing a trained soil and moisture assessment tool model to simulate key hydrological parameters and determining the elasticity coefficient based on a hydrothermal coupling correction model, the multi-scale attribution of baseflow changes can be accurately identified. This method has the advantages of overcoming the limitations of traditional hydrothermal balance models in high-altitude and cold regions, improving the accuracy and reliability of baseflow change attribution, and providing a scientific basis for sustainable water resource management.

This invention discloses a method for calculating the position of the main flow line in a 90° bend river, belonging to the fields of hydraulics and river dynamics. By combining the geometric characteristics of the bend with hydrodynamic conditions, and introducing dimensionless parameters such as relative bend radius, Froude number, and relative water depth, a calculation formula for the lateral offset of the main flow line is established, thereby determining the spatial coordinates of the main flow line. This method has a clear calculation approach, well-defined physical meanings of the parameters, and readily available parameters. It is applicable to the hydrodynamic analysis of 90° bend rivers and can provide a reference for riverbed scouring and deposition analysis and engineering design in bend rivers, demonstrating good applicability and potential for wider application.

The present application relates to the technical field of river basin water environment management and water ecological evaluation, and particularly relates to a river flood season pollution impact evaluation method and system combining river basin spatial analysis and water ecological response. The method first collects water ecological data, pre-processes the water ecological data, calculates the water ecological metabolism background value before the non-flood season or the flood season pollution event based on the diurnal variation model of river dissolved oxygen concentration based on mass balance, calculates the theoretical lag time from rainfall to pollution peak value based on the correlation between the catchment area and the response time, and delimits the flood season pollution event window period. Based on the high-frequency monitoring data of the water ecology in the flood season pollution event window period, the water ecological metabolism response index is calculated, the disturbance intensity of the pollution event on the water ecological system metabolism function is evaluated, the non-point source pollution intensity index and the point source risk evaluation value are calculated, and the pollution source investigation suggestion is comprehensively generated. The present application effectively solves the problem of difficult definition of non-point source pollution responsibility in the flood season, and realizes the accurate identification of pollution sources.

This application provides a method, apparatus, equipment, and medium for river ecological management. The method acquires an ecological dataset, which includes four-dimensional data formed by the comprehensive ecological health index of a target river segment during a target historical period, and runoff, sediment concentration, and water temperature from river monitoring data. A water, sediment, and temperature threshold prediction model is trained based on multiple ecological data sets. After training, an implicit function describing the model is obtained. This implicit function includes a continuous function of the comprehensive ecological health index with respect to runoff, sediment concentration, and water temperature. The continuous function is obtained by learning and fitting a continuous manifold to multiple discrete ecological data sets through a neural differential equation in the water, sediment, and temperature threshold prediction model. Solving the implicit function yields the runoff threshold range, sediment concentration threshold range, and water temperature threshold range. This application provides a method for quantitatively evaluating river health and determining thresholds, enabling targeted river ecological management.

This invention relates to the field of water pollution detection technology and discloses a method for detecting the degree of stress on river aquatic ecosystems. The method includes: acquiring river drought indicators, environmental water quality indicators, and aquatic organism status indicators and constructing a synchronous monitoring sequence; calculating the cross-correlation between indicators and determining the characteristic lag step; correcting the temporal offset of the synchronous monitoring sequence based on the characteristic lag step and constructing a time-aligned feature data matrix; calculating the correlation components of each indicator relative to the evaluation standard and establishing a correlation model; identifying the variation nodes of aquatic ecosystem state variables and fitting the probability density function of the feedback evolution sequence to determine the evaluation threshold and confidence interval. This invention eliminates the logical bias caused by the sampling synchronicity assumption, making the assessment process conform to the hydrological and biochemical evolution law and improving the physical self-consistency of aquatic ecosystem stress identification.

This invention discloses a method for assessing the impact of reservoir construction on river deoxygenation based on satellite remote sensing. The method includes the following steps: constructing a synchronous observation database of river dissolved oxygen and satellite remote sensing reflectance; training a random forest model and an extreme gradient boosting tree model based on input and output data indicators, and fusing them to construct an integrated inversion model for dissolved oxygen concentration; obtaining publicly available river widths and extracting long-term remote sensing reflectance spectral data located along the river's median line; obtaining engineering characteristic parameters of the target reservoir, driving the integrated inversion model for dissolved oxygen concentration, and reconstructing a long-term dataset of river dissolved oxygen concentration; and calculating the trend of dissolved oxygen concentration changes in two time periods, using the construction time of the target reservoir as a dividing point. This invention uses satellite remote sensing to assess the intensity of the impact of reservoir construction on river deoxygenation processes, providing a reliable and scalable assessment method for quantifying the disturbance and alteration of river ecosystems by human activities.

The application discloses a kind of river width automatic extraction method based on remote sensing data multi-strategy fusion, it is related to remote sensing data processing and river geomorphology monitoring technical field, first to multispectral remote sensing image is pretreated;Then three-way water body extraction is executed in parallel: first way is based on water body spectral index threshold and logic combination fast preliminary screening, second way is based on random forest etc.supervision classifier and performs pixel classification, third way is based on image segmentation and object level rule discrimination;Pixel level decision fusion is carried out to three-way result, and majority vote or weighted majority vote strategy is used to generate high confidence water body mask;Finally, distance conversion and thinning are carried out to fusion water body mask, and river center line is extracted, cross section is adaptively laid along center line, and the intersection length of cross section and river boundary is obtained to obtain river width;The application is through multi-strategy fusion and decision optimization, effectively suppresses shadow etc.object misclassification, improves water body boundary stability and river width measurement precision under complex background.

The application discloses a multi-level constraint thin-layer single sand body well-seismic joint characterization method, which comprises the following steps: performing lithology prediction analysis on all wells; establishing a high-precision sequence stratigraphic framework, performing stratigraphic division and correlation on the well, and completing seismic horizon tracking and interpretation; performing lithology identification and division on the target layer of the coring well; establishing a sedimentary microfacies identification chart of the working area; converting the phase of the seismic data body; completing extraction of conventional seismic attributes; completing RGB wide-narrow frequency band frequency division attribute fusion extraction; restraining the sedimentary microfacies by using surrounding rock influence removal, profile sedimentary microfacies analysis and river sedimentation mode; checking the sedimentary microfacies; and finally obtaining high-precision thin-layer single sand body level plane sedimentary microfacies. On the basis of the original method, the high-precision thin-layer single sand body level plane sedimentary microfacies under multi-level constraint is characterized by using well-seismic record, river channel parameter, oil-gas-water relationship, source-landform parameter analysis and other methods for checking.

This invention discloses an intelligent data quality review method and system for automatic river water quality monitoring stations, belonging to the field of water quality monitoring technology. The method includes: pre-setting conventional review thresholds and differentiated review thresholds; real-time acquisition of water quality monitoring data and related data; setting fusion weights, and lightweightly fusion of water quality monitoring data and related data according to the fusion weights to obtain a fusion baseline value; reviewing the water quality status based on the fusion baseline value. Specifically, the review method includes: if the fusion baseline value is lower than the conventional review threshold, it is judged as normal; otherwise, the current scenario is judged; in a normal scenario, it is judged as abnormal; in extreme scenarios, if the fusion baseline value exceeds the conventional review threshold but does not exceed the corresponding differentiated review threshold, it is judged as normal; if the fusion baseline value exceeds the differentiated review threshold, it is judged as abnormal; and the review result is output. This invention avoids misjudgments caused by normal natural fluctuations by adapting to extreme scenarios, thus improving the accuracy of the review.

The present application relates to the technical field of river regulation, and discloses a storm post-river recovery scheduling method based on digital twin reverse multi-objective optimization, wherein in the present application, river water quality indexes are classified into three categories, namely, fast oxygen consumption related indexes, slow oxygen consumption related indexes, and suspended matter related indexes, and a representative index is selected from each category of indexes, so that the output of the model is reduced to all output parameters without coupling, forming uncoupled river water quality indexes as the output of the model; then, based on the decoupled output, a time series neural network model is trained using a model training method that can decouple the input, to obtain reliable prediction of the response of the river water quality index that most needs human intervention to rainfall and recovery means, which is used as a design function for reverse optimization. A constrained Pareto frontier is used as a target function to generate a set of Pareto optimal scheduling parameters and develop a scheduling scheme; thereby realizing efficient scheduling in the post-storm river recovery process.

The application discloses a river habitat data management method, device, equipment, medium and product, relates to the technical field of geographic data management, and comprises the following steps: according to the longitude and latitude network range where a to-be-labeled river habitat region is located, the to-be-labeled river habitat region is divided into a plurality of topographic map units; each topographic map unit is coded according to a set longitude and latitude network coding rule, and topographic map coding corresponding to each topographic map unit is obtained; the river geomorphology classification of each topographic map unit is determined according to the river geomorphology features of each topographic map unit; the topographic map coding of each topographic map unit and the geomorphology coding corresponding to the river geomorphology classification are spliced to obtain combined coding; and the combined coding of each topographic map unit and the river geomorphology features are stored in a geographic information system according to geographic coordinates. The application can realize accurate labeling and storage management of river habitat geomorphology information.

To provide an underwater resource recovery device that does not have any impact on the surrounding environment. [Solution] A water resource recovery device is provided that collects or extracts biological resources, plant resources, organic resources, or inorganic resources from the sea, lakes, or rivers into the bottom sealed member through the resource recovery opening 2b of the bottom sealed member, or collects or extracts biological resources, plant resources, organic resources, or inorganic resources near the seabed, lakebed, or riverbed into the bottom sealed member, captures the collected or extracted resources into the resource recovery pipe member 1 through the resource recovery opening 2b of the bottom sealed member, and only draws up seawater, lake water, or river water from the resource recovery pipe member 1, and since the collection or extraction takes place within the bottom sealed member 2 sealed by the resource recovery pipe member 1, it does not affect the surrounding environment in any way.

This invention discloses a method for determining the true source of a river, belonging to the field of hydrological science and technology. The method includes: acquiring the three-dimensional skeleton lines of the main stream and tributaries of the river to be determined; determining a set of candidate tributaries at the distal end; quantifying the water volume contribution of each tributary to determine a set of candidate tributaries based on water volume; determining a set of candidate tributaries based on the straightness of the flow direction of each tributary; determining a set of candidate tributaries based on altitude advantage; obtaining the final candidate set; collecting existing river data for determining true sources; using the analytic hierarchy process (AHP) to obtain the weights of distance, water volume contribution, straightness of flow direction, and altitude advantage; calculating the probability of each tributary in the final candidate set being the true source based on the weights of these factors; and selecting the tributary with the highest probability of being the true source as the true source of the river to be determined. This invention solves the problem of existing technologies relying too heavily on subjective judgment of river sources.

The invention provides a river blockage prediction method and device and a storage medium, and the method comprises the steps: obtaining debris flow data, river data and moraine object data related to a target river, thereby determining a target volume factor, a dynamic coupling factor, an included angle cooperation factor, a moraine object impact factor and a shear strength factor, and inputting the factors into a pre-trained, verified and screened river blocking prediction model, and outputting a target predicted river blocking result. According to the method, the key influence dimensions of river plugging can be comprehensively covered, the model is constructed based on sample data and is verified and optimized, the scientificity and accuracy of prediction are improved, and reliable support can be provided for geological disaster risk zoning and early warning.

The application discloses a river section topography evolution identification method based on remote sensing images and relates to the technical field of river topography monitoring.The method comprises the following steps: collecting remote sensing image data and hydrological section measured elevation data of a target river section in a preset time period; identifying a river bank line based on remote sensing images and extracting river channel transverse erosion characteristic parameters; extracting river channel longitudinal section erosion and deposition characteristic parameters based on the measured elevation data; calculating water and sediment condition factors in the corresponding time period, wherein the water and sediment condition factors comprise basic water and sediment factors and composite water and sediment factors; identifying the significant relationship between the transverse and longitudinal characteristic parameters and the water and sediment condition factors by using a Pearson correlation coefficient; and evaluating the fitting degree of the water and sediment condition factors by using a determination coefficient, so as to realize river section topography evolution identification.The application can be widely applied to river evolution analysis, flood control and disaster reduction and river regulation engineering of the Yellow River and other alluvial rivers.

This invention relates to an on-orbit intelligent method for determining the survival status of river water bodies: Vector data of the detected river water body is stored in an on-board image processor; the on-board camera payload images the Earth, and based on real-time satellite position information acquired on-board, the location information of the image coverage area is obtained; based on the image containing location information and the vector data of the detected river water body, images containing river water bodies are selected, i.e., target images; the spectral index related to water extraction in the target image is calculated, a threshold is determined for the spectral index, and the detected river water body information in the target image coverage area is extracted, resulting in a water extraction result map of the target image coverage area; the water extraction result map of the target image coverage area is partitioned and statistically analyzed with the extended river water body vector data to obtain the water area of ​​the target image coverage area; the survival coefficient of the detected river water body is calculated to determine and record the survival status of the detected river water body.