190 results about "Water level fluctuation" patented technology

The invention relates to an optimization method for dynamic monitoring of an underground water level. Comprising the following steps: uniformly arranging a plurality of sensors in an underground water monitoring area, and monitoring multi-dimensional parameters including water pressure, temperature and humidity; the sensors form a gridding monitoring system through a wireless network; inputting multi-dimensional data acquired by the sensor array into a data fusion module, performing cooperative processing on the data by using a data fusion algorithm, and filtering noise and abnormal values; a unified water level change model is constructed, so that data of different parameters complement each other; dynamically adjusting the weight in the fusion algorithm regularly according to the historical data and the new measurement value; in the monitoring area, based on the dimensions of time and space, a space-time analysis model of underground water level changes is constructed, and the periodicity and regularity of water level fluctuation are excavated; and performing trend analysis on the historical water level data by adopting a time sequence analysis algorithm including ARIMA or LSTM to generate short-term and long-term water level prediction.

The invention discloses a side slope stability intelligent monitoring and supporting optimization method based on digital twinning, which comprises the following steps: extracting gradient, curvature and geological layering characteristics from a holographic terrain model, calculating a preliminary change trend of stress distribution of a rock-soil body in combination with a finite element analysis method, and determining spatial position distribution of a potential sliding surface of a side slope; according to the space coordinate set of the real-time monitoring point position, the data acquisition frequency of the sensor is adjusted through a time sequence analysis method, and a high-frequency monitoring data set reflecting dynamic changes of stress and underground water is obtained; extracting stress peak values and underground water level fluctuation characteristics from the high-frequency monitoring data set, and generating a multi-dimensional information matrix containing terrain, stress and water dynamics by combining spatial characteristics of the holographic terrain model and adopting a data fusion algorithm; according to the state parameters of the digital twinborn body, if it is judged that the stress distribution exceeds a preset threshold value, the stress distribution of the supporting structure is recalculated through finite element analysis, and an adjusted slope supporting design scheme is obtained.

The invention belongs to the technical field of water pollution prevention and control, and particularly discloses a method for simulating and predicting underground water pollution of a karst area with multiple media. The method comprises the following steps: carrying out a water pumping experiment, geophysical exploration and a field tracing experiment, and determining the connectivity of a fault and a karst pipeline, the water flow velocity, the average water flow velocity of the pipeline, the connectivity of the pipeline and a branch structure; constructing a matrix three-dimensional unsteady-state groundwater flow equation, and determining the area and duration of a pollution source, a characteristic pollution factor and a leakage concentration; hydrogeological parameter calibration is carried out based on the groundwater unified measurement water level; taking the weighted variance of the monitored water level, the spring flow and the spring solute concentration as a calibration objective function; the fixed supply coefficient is converted into supply intensity, and the long observation hole water level fluctuation condition, spring flow and the concentration of pollution factors in spring water are predicted on the basis of unsteady flow simulation. The karst spring and water quality evolution can be accurately predicted, and a decision basis can be provided for protection and restoration of underground water resources in the karst area.

The invention relates to the technical field of water level data processing, in particular to a water level data acquisition and processing system based on the Internet of Things, which comprises a trend identification module, a sampling frequency modulation module, a data encapsulation module, an exception elimination module and an instruction linkage module. According to the method, trend recognition is achieved by analyzing the continuous water level change trend, the sampling frequency is dynamically adjusted, so that the sampling interval is matched with the actual water level fluctuation state, the response sensitivity of water level data and the timeliness of data acquisition are improved, and a uniform packaging format is constructed by adopting a timestamp index mechanism and a bidirectional mapping structure; the integrity of a water level data structure and the convenience of index management are enhanced, sudden change breakpoints are recognized through the water level amplitude difference, data are stored in a segmented mode, the data stability and the emergency situation recognition capacity are improved, and the self-adaptive capacity of water level information processing, the maintaining level of data continuity and the coping efficiency of sudden abnormity are overall improved.

The invention relates to the technical field of water level measurement, in particular to a water level precision measurement method, system and equipment applied to a water conservancy project, and the method comprises the steps: obtaining an electromagnetic wave signal emitted to the water surface by a radar water level gauge in real time, recording the electromagnetic wave signal as an emission signal, and obtaining an echo signal received at each measurement moment; water level data, measured by the radar water level gauge through the received echo signals, at each measurement moment are obtained; calculating a signal fluctuation degree and an energy loss ratio of each measurement moment, determining a first evaluation value, a second evaluation value and a water level fluctuation degree of each measurement moment, and obtaining an interference coefficient of each measurement moment; and correcting the water level data based on the water level data and the disturbed coefficients of each measurement moment and a plurality of measurement moments before the measurement moment to obtain the corrected water level data of each measurement moment. The interference influence of the multipath effect, noise and water surface fluctuation on the echo signal can be reduced, and the precision of the radar water level gauge on the water level measurement result is improved.

The invention relates to the field of hydrological monitoring, in particular to a hydrological monitoring early warning method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring a panoramic continuous aerial image of a to-be-monitored area; adaptive histogram equalization and image time delay interpolation optimization are carried out on the panoramic continuous aerial image of the to-be-monitored area to construct a time delay optimized continuous image; performing water body landform semantic analysis on the time delay optimized continuous image, performing real-time three-dimensional landform modeling, and constructing a real-time three-dimensional landform model; performing continuous frame optical flow tracking on the time delay optimized continuous image, performing inter-frame optical flow motion vector calculation, and generating a water level fluctuation curve and surface ponding area change characteristics; and carrying out instant hydrological state rendering on the real-time three-dimensional terrain model according to the water level fluctuation curve and the surface ponding area change characteristics so as to construct a dynamic hydrological state evolution model. According to the invention, accurate and efficient hydrological monitoring and early warning are realized, and the safety of the hydrological basin is improved.

The invention relates to a test device and method for simulating migration and transformation of nitrogen in underground water of a river bank subsurface zone, and the device comprises a detachable organic glass tank, the internal space of which is divided into a left-end water tank, a middle sand tank and a right-end water tank from left to right in sequence, and the left-end water tank, the middle sand tank and the right-end water tank are respectively used for simulating a river channel, a river bank and a far-bank aquifer; the water level control assembly comprises two constant water head control modules and platform lifting modules corresponding to the two constant water head control modules; the pore water level monitoring assembly comprises a plurality of piezometric tubes, a plurality of transparent graduated scales and a photographing module; the water quality sampling assembly comprises a pore water filtering module embedded in the middle sand tank in an array manner, a vacuum pumping module and a water sample collecting module connected with the pore water filtering module and the vacuum pumping module. Compared with the prior art, the sampling time of the pore water of the fine-particle soil is greatly shortened, and the accuracy of a test result is ensured; automatic control, whole-process monitoring and rapid and automatic sampling of water level fluctuation in the water tank are realized.

The invention belongs to the technical field of water resource planning and management, and particularly relates to a method for calculating an effective hydrological connectivity strength index range of a wetland based on an InSAR (Interferometric Synthetic Aperture Radar) technology. The calculation method comprises the following steps: acquiring image data of an area to be calculated; identifying all wetland plaques in the water body area; dividing the wetland plaques into different effective hydrological communication type groups; calculating an elastic force value of each wetland patch; constructing a water level fluctuation-ecological elastic force curve under different effective hydrological communication situations, carrying out segmented fitting on the water level fluctuation to generate a fitting line, calculating the mean value of the elastic force of the wetland plaques under the effective hydrological communication type, generating an elastic force mean value line, and calculating the elastic force mean value line; the two intersection points of the elastic force mean value line and the fitting line are the effective hydrological connection strength index range. According to the method, the wetland plaques of different effective hydrological connection type groups are divided according to the difference of the effective hydrological connection strength, the optimal ecosystem elastic force of the wetland plaques is calculated respectively, and then the effective hydrological connection strength index range is determined.

The invention relates to the technical field of buffer zone planning, and particularly discloses an ecological buffer zone planning method, which comprises the following steps: acquiring remote sensing image data and hydrological data of a target river and lake area for determining the type of a river and lake shore zone and the range of a water level amplitude variation area; calculating the width of a land area buffer area by combining slope data and land utilization type data on the basis of the type of the river and lakeshore zone and the range of the water level amplitude variation zone, and generating a preliminary buffer zone range; the preliminary buffer zone range is calibrated, manual adjustment is carried out in combination with a river and lake management shoreline and a land utilization type map, and a final ecological buffer zone range is determined; according to the method, the improved normalized water body index is combined with the dynamic threshold segmentation technology, the water body and the vegetation coverage area are effectively distinguished, and the misjudgment risk caused by vegetation or terrain interference in a traditional method is reduced. The technology can adapt to water body changes under different seasons and climate conditions, the scientificity and consistency of water level variable amplitude area demarcation are ensured, and a reliable space basis is provided for the buffer zone range.

The invention provides a pumped storage power station seepage optimization method and system based on water level fluctuation data. The method comprises the following steps: firstly, based on a satellite geographic map and water depth data, constructing an upper reservoir three-dimensional structure model; then arranging water body particles in the model, and forming seepage holes according to the permeability coefficient to form a seepage field simulation model; then, through seepage simulation at different water levels, water particle flow characteristics of the surface edge of the reservoir are extracted; further comparing the simulation characteristics with the actual water flow characteristics, evaluating the credibility of the model according to the goodness of fit, and optimizing the model if the credibility does not reach the standard; and finally, performing seepage early warning analysis by using the optimization model. Through precise three-dimensional modeling, dynamic seepage simulation and feature matching verification, the accuracy of seepage prediction is improved, and a scientific basis is provided for safe operation of a power station.

The invention relates to the technical field of automatic control, and discloses a flood season water quality monitoring method and system based on a variable speed integral PID controller. The method comprises the following steps: acquiring and fusing pollutant concentration data and water level fluctuation parameters in a flood season water body through a sensor network to obtain a current water quality state index; according to the current water quality state index, time sequence change data of pollutant concentration is extracted, concentration gradient information is calculated, freshness analysis is carried out on the concentration gradient information, and weighted gradient information is generated; fusing the weighted gradient information with historical water quality monitoring data, determining a comprehensive gradient trend, and obtaining a preliminary update value of a variable speed control coefficient through a variable speed integral PID control algorithm according to the comprehensive gradient trend; if the preliminary update value exceeds a preset range, an iterative optimization algorithm is adopted to obtain a refined variable speed control coefficient, operation parameters of water quality control equipment are adjusted, and a dynamic regulation and control result of the water quality in the flood season is output, and the control accuracy of the concentration of pollutants in the water quality is improved.

The invention provides a shear test device and a test method for a slope with structural surface anchoring. The device comprises a freeze-thaw cycle device, a water level fluctuation device, a slope model, a prestress anchoring device, a shear loading device and a deformation monitoring device. The freezing and thawing cycle device provides a set temperature environment for the test process, the water level fluctuation device provides hydraulic erosion conditions for the anchoring slope model, the prestress anchoring device provides anchoring force for the slope containing the structural plane, and the shear loading device applies sliding force in the structural plane direction to the slope and provides conditions for damage of mortar and anchor cables. And the deformation measuring device monitors the displacement of the landslide mass and the deformation characteristics of the structural surface in the test process. According to the invention, the experimental simulation of the shear failure process of the anchoring slope containing the structural surface under the conditions of reservoir water level fluctuation and freeze-thaw cycle is considered, and the system has the functions of automatic control of temperature, hydraulic erosion and shear process and automatic monitoring of shear force, anchor cable prestress and structural surface sliding deformation.

The invention discloses an open channel high-flow interference water level control method based on storage compensation and improved PID coupling, and the method comprises the following steps: collecting channel operation parameters in real time, including current flow, water level fluctuation amplitude, predicted demand and on-way resistance coefficient distribution; dynamically constructing a channel damping effect model based on the on-way resistance coefficient distribution, calculating water level control response delay time, and generating a preposed adjustment coefficient; dynamically adjusting the actual participation volume according to the maximum effective storage volume and the maximum effective storage volume of the stagnant storage area; a compensation control quantity is generated by the input improved PID controller; and the compensation control quantity is executed to adjust the opening degree of the channel gate, and dynamic suppression of water level fluctuation is achieved. The water level stability and the control effect of the open channel can be improved.

The invention discloses a water level monitoring and early warning system and method for monitoring the real-time height of the water surface under a bridge, and relates to the technical field of shipping channel management.The water level monitoring and early warning system can collect water level data in real time on the basis of sub-region monitoring points divided at equal intervals and achieve accurate correction of the water level height in combination with environmental data and ship fluctuation factors; the water level is in a safe range. And secondly, the number, distribution and accumulation conditions of the floating objects and the density and volume information of the floating objects attached to the bridge body are beneficial to accurately evaluating the stress condition of the bridge body and timely finding out possible structural risks. Meanwhile, through linkage analysis of the water level data and the bridge body stress, a corresponding early warning instruction can be triggered in advance, control measures such as limiting of ship passing and starting of an emergency overflow channel can be rapidly taken, and the safety of the bridge is guaranteed. According to the whole method, the real-time monitoring capability of water level fluctuation and bridge body safety is improved, and the early warning and emergency response efficiency is improved.

The invention discloses an underground water level prediction model training method and a related device, and the method comprises the steps: determining underground water level sample data of a plurality of monitoring points, carrying out the feature extraction of the underground water level sample data of the plurality of monitoring points through a spatial feature extraction module, and obtaining a spatial feature vector; and processing the spatial feature vector through a time feature extraction module to obtain a spatio-temporal feature vector. And according to the spatial-temporal feature vectors, performing prediction through the initial prediction model to obtain predicted underground water levels of the monitoring points. According to the difference between the predicted groundwater level of each monitoring point and the groundwater level label, adjusting model parameters of the initial prediction model to obtain a groundwater level prediction model so that the groundwater level prediction model can be used for predicting the groundwater levels of the multiple monitoring points. Therefore, the model recognizes the influence of water level fluctuation on the underground water level corresponding to a certain monitoring point at different positions with spatial correlation, and the accuracy of predicting the underground water level by the model is improved.

The invention provides a reservoir bank landslide deformation prediction method and system based on water level fluctuation, and relates to the technical field of landslide deformation prediction. The method comprises the following steps: acquiring monitoring data; preprocessing the monitoring data to obtain sample data; calculating a Pearson coefficient between reservoir water level change and landslide deformation; whether correlation exists between reservoir water level change and landslide deformation or not is judged; calculating an initial lag time length of influence of reservoir water level rise on landslide deformation; adjusting the initial lagging time length to obtain a dynamic lagging time length; based on the dynamic lag duration, establishing a time lag GM-BP deformation prediction model; inputting the sample data into a time-delay GM-BP deformation prediction model for training; acquiring real-time sample data; inputting real-time sample data into the trained time-delay GM-BP deformation prediction model, and outputting a final prediction result; and performing early warning according to the final prediction result. The accuracy of landslide deformation prediction can be effectively improved.

The invention discloses a water quality and water level simultaneous monitoring device and method and belongs to the technical field of water quality and water level monitoring. The device comprises a shell, and a water quality data acquisition module, a water level data acquisition module, a power supply module and a PC (Personal Computer) upper computer which are positioned in the shell, power is supplied through the power supply module, the water quality data acquisition module is a hyperspectral camera system, the water level data acquisition module is a radar position finder, and control and data processing functions are integrated in the upper computer. A hyperspectral camera system and a radar position finder are fused and work cooperatively, the hyperspectral camera system monitors water quality, and the radar position finder obtains water level data. And meanwhile, a water level dynamic compensation mechanism is introduced, so that accurate quantification is realized, and the influence of water level change on water quality parameter inversion is compensated. When the real-time water level deviates from the reference water level, an inversion result is corrected in real time according to a dynamic compensation algorithm, spectral signal distortion caused by water level fluctuation is effectively inhibited, the accuracy and reliability of monitoring data are ensured, powerful support is provided for water environment monitoring and management, and the application range is wide.

The invention relates to the technical field of shale gas development underground water monitoring, and discloses a shale gas development area deep underground water environment intelligent monitoring and early warning method. According to the method, a dynamic simulation model of a deep groundwater environment is constructed based on geological structure characteristics and historical environment data of a shale gas exploitation area, and a basic framework is provided for subsequent analysis. And then, acquiring a groundwater environment real-time monitoring data set including water quality concentration, water level fluctuation and soil seepage rate through a preset monitoring well array, and realizing comprehensive capture of groundwater environment information. Then, the real-time monitoring data set is imported into the dynamic simulation model for calibration, and it is ensured that the model can accurately reflect the actual situation. And then operating the calibrated model, simulating the migration process of the pollutants in the underground water, and outputting a risk prediction value. And finally, comparing the risk prediction value with a preset safety critical value, and generating an early warning instruction according to a result.

The utility model provides a large-scale navigation tunnel with escape channels capable of adapting to water level amplitude variation. The large-scale navigation tunnel comprises a plurality of escape channels, escape connecting trestle roads, a plurality of escape crawling ladders and an auxiliary traffic hole, the first end of the escape channel communicates with the large navigation tunnel, and the second end communicates with the auxiliary traffic tunnel. The first ends of the escape channels are located at different elevations. The side wall of the large navigation tunnel is provided with an escape connecting trestle road, and the escape connecting trestle road close to the first end of each escape channel is downwards provided with at least one escape ladder stand. The first ends of the multiple escape channels are located at different elevations, the escape connecting plank road is arranged on the side wall of the large navigation tunnel, the escape connecting plank road close to the first end of each escape channel is downwards provided with at least one escape crawling ladder, and the first ends of the multiple escape channels located at different elevations are communicated; under the condition of different water levels, people can escape in time through the escape ladder, the escape connecting gallery road, the escape channel and the auxiliary traffic hole in each hole section.

The invention relates to the technical field of environmental governance, and discloses an alpine region reservoir area water and sediment scheduling and water quality scenario prediction method comprising the following steps: river network segmentation and node classification; embedding ice kinetic parameters; transporting and correcting low-temperature silt; carrying out low-temperature adaptation on water quality parameters; performing dynamic boundary transfer and joint solution; and carrying out synchronous real-time iterative calculation. According to the method, ice kinetic parameters are embedded in a one-dimensional Saint-Venant equation, and the coupling relation between the thickness of the ice cover and the hydraulic element is dynamically solved by correcting the effective cross-section area in a continuous equation and the friction gradient in a momentum equation and adopting an iterative algorithm. Therefore, the water level fluctuation in the ice dam forming and outburst process is accurately described, and the problem that an existing model is insufficient in response to ice period hydraulic sudden change is solved.

The invention discloses a simulation analysis method and analysis system for the water flow condition of a double-line ship lock approach channel, and the analysis method comprises the steps: building an approach channel three-dimensional model based on the condition that a double-line ship lock shares an upper approach channel and a lower approach channel; according to the approach channel three-dimensional model, establishing an approach channel water flow mathematical model; the operation conditions of the double-line ship lock water filling and draining process are determined, wherein the operation conditions comprise the water level, the ship lock operation mode and the main gallery valve opening time; and based on the approach channel water flow mathematical model, performing three-dimensional numerical simulation on the non-constant flow in the approach channel under different operation conditions during water filling and water drainage of the double-line ship lock to obtain water level fluctuation change, water surface flow velocity and flow state change rules in the approach channel. According to the analysis method, the complexity of the approach channel water flow condition is comprehensively considered, the water flow change rule in the approach channel in the ship lock irrigation and drainage process can be obtained, the calculation result is more objective, and reference data can be provided for hub engineering design.

The invention is suitable for the technical field of sponge city rainwater resource management, and provides a sponge city rainfall analysis method and system based on ultra-long duration data, and the method comprises the steps: obtaining the real-time predicted precipitation of a target city extension region in a preset time period, setting the initial rainwater management efficiency for the target city extension region, and obtaining the initial rainwater management efficiency of the target city extension region; meanwhile, acquiring an underground water level fluctuation record, historical land coverage change data and a soil permeability historical data table of the target city expansion area; the rainwater management efficiency is optimized by combining multi-dimensional data such as underground water level fluctuation, soil permeability historical data and historical land coverage change information; the method comprises the following steps: firstly, accurately adjusting a primary correction factor of rainwater management efficiency by analyzing an underground water level change rate and combining with soil permeability deviation; secondly, the average slope of the historical land change trend is used as a secondary correction factor, and the rainwater management efficiency is further optimized.

The invention relates to the technical field of environmental monitoring, and discloses an underground water level continuous monitoring device, which comprises a monitoring probe module arranged at the bottom area of a shell and used for monitoring the water level of underground water and related environmental parameters; the data processing module is arranged in the middle area in the shell and used for collecting, processing, analyzing and storing the monitoring data; the wireless transmission module is connected with the data processing module and used for uploading the processed monitoring data to a remote monitoring system; the energy management module is arranged on the upper layer of the data processing module in the shell; the shell and installation module comprises a shell, a bottom plate and multiple layers of partition plates in the shell. Through time sequence analysis based on a long short-term memory network (LSTM), the change trend (such as water level fluctuation in the future 7 days) of the groundwater level in the future can be predicted, and through dynamic comparison of monitoring data and historical data modes, an alarm is triggered and early warning information is provided when abnormal water level changes (such as sudden drop and sudden rise) are found.

The invention relates to a drainage device for hydraulic engineering construction, which comprises a vehicle body, a storage part connected to the vehicle body and a water inlet port connected to the storage part, the vehicle body is connected with a water suction pump, the water suction pump is connected with the water inlet port, and the water inlet port is used for pumping water; the storage part comprises a sliding part and an unfolding part connected to the sliding part, the water inlet port is connected to the unfolding part, and the unfolding part is used for lowering the water inlet port into water or moving the water inlet port to the recovery position so that the water inlet port can be stored on the vehicle body. The technical scheme has the beneficial technical effects that through the linkage design of the sliding part and the unfolding part, the water inlet port can be rapidly lowered and recycled underwater. Drainage operation can be completed only by operating the vehicle body, and construction efficiency is remarkably improved. The telescopic or folding structure of the unfolding piece can adjust the water entry depth of the water inlet port to adapt to different water level conditions, and the problem of drainage interruption caused by water level fluctuation is avoided.

The invention provides a karst collapse risk assessment method and device, electronic equipment and a storage medium. The method provided by the invention comprises the following steps: acquiring geological index data; according to the size of the line karst rate, determining the regional type of karst division, and forming a three-dimensional geologic model according to the regional type of karst, the thickness of a covering layer and the elevation of a stratum interface; judging whether the current area is a high deformation gradient area or not, judging whether the current area is a fracture structure control area or not, and judging whether the current area is a water level fluctuation sensitive area or not; forming a fuzzy fault tree structure, and performing Monte Carlo simulation on a grid to obtain a grid-level collapse risk probability; and determining a dynamic risk comprehensive index according to the grid-level collapse risk probability, the currently monitored covering layer pore water pressure and the line-of-sight deformation rate, and determining a risk level according to the dynamic risk comprehensive index. According to the method, real-time monitoring and dynamic analysis of surface deformation can be realized, and the accuracy of risk assessment can be improved.

The invention relates to the technical field of water pump control, in particular to an integrated water pump control system based on LoRa, which comprises a water level detection module used for monitoring a water level signal in real time, a timing control module used for setting a time parameter of water pump operation, and a microcontroller module used for controlling the water pump according to the water level signal and the set time parameter. And outputting a control signal to the execution module to control start-stop of the water pump. The water level signal and the timing parameter are jointly judged through the microcontroller module, and a delay control strategy is introduced, so that false triggering caused by instantaneous water level fluctuation is avoided, and the operation stability and the control reliability of the system are effectively improved. And the execution module adopts a relay control circuit and is provided with triode driving and follow current protection measures to ensure that the start-stop process of the water pump is safe and quick in response. A LoRa wireless communication protocol is adopted, long-distance and low-power-consumption data transmission is supported, and the system is especially suitable for automatic control requirements in remote areas or agricultural irrigation and other network-free environments.

This invention discloses an ecological scheduling method and its application based on fish reproductive needs, belonging to the field of environmental protection technology in water conservancy and hydropower engineering. This invention specifically addresses the challenge of protecting fish that lay adhesive eggs. By establishing a population reproductive characteristic adaptation domain model (Ω(pi)), it quantifies for the first time the dynamic response relationship between water level fluctuations (proximal factor) and water temperature and flow velocity (terminal factor), breaking through the limitations of traditional ecological scheduling that only focuses on a single hydrological indicator. It achieves multi-objective collaborative optimization, balancing engineering needs such as flood control, power generation, and water supply with ecological protection through a dynamic adjustment model of ΔH(t). Through proximal factor monitoring and terminal factor feedback, it corrects the water level adjustment ΔH(t) in real time, improving the response speed compared to traditional methods. Furthermore, by dividing the control period according to the key processes of the fish life history, the water level fluctuation limit during the spawning period is more precise, providing an innovative technical method for ecological scheduling in water conservancy projects.

The invention provides a multi-factor coupling gravity retaining wall reliability evaluation and optimization method, and belongs to the technical field of geotechnical engineering. The method comprises the following steps: constructing a physical model containing parameters such as self weight, friction coefficient, height, filling weight and compaction degree; establishing a multi-factor dynamic coupling model which comprises a water level time-varying model, an earthquake coefficient probability model and a compactness degradation model; constructing a limit state function integrating the soil pressure, the water pressure and the seismic inertia force; calculating a time-varying failure probability through random numerical simulation; the importance degree of each factor is quantitatively evaluated by adopting standardized indexes; optimization measures such as compaction degree improvement, water level fluctuation reduction and dead weight increase are put forward, and the effect is verified. According to the method, the problems of single-factor analysis, static modeling, importance evaluation and the like of a traditional method are solved, dynamic coupling analysis of three factors of earthquake, water level fluctuation and compactness degradation is achieved, and a scientific basis is provided for design and maintenance of the gravity retaining wall.

The invention provides a high-fidelity generalization method and system for plain river network water flow simulation, and relates to the technical field of model simulation. The method comprises the steps that a node river network is constructed, constructing a physical river network topological structure comprising a main river channel node, a river reach, a regulation and storage node and a virtual river reach; a dynamic parameter configuration step: configuring hydraulic parameters for the section in the physical river network topological structure; a boundary coupling step: distributing water catchment unit runoff obtained by calculation of the hydrological model to corresponding regulation and storage nodes as boundary input conditions; and a simulation execution step: performing hydrodynamic simulation calculation based on the constructed physical river network topological structure, the configured hydraulic parameters and the distributed boundary input conditions. Through a high-low water level dynamic parameter method, a hydrodynamic model parameter calibration method is optimized, especially for rivers with large water level fluctuation amplitude, and the accuracy of simulation results is ensured.

The invention discloses a water resource management method and system based on a three-dimensional digital sand table, and the method comprises the steps: obtaining a target water resource management region, and constructing a terrain model of the target water resource management region based on a DEM and a DOM; eliminating topographic data beyond a preset distance from the watershed range in the topographic model through topographic processing software, and retaining the topographic data of the remaining part; utilizing a hydrodynamic modeling platform to construct a river channel production and confluence model of the target water resource management area, and importing the river channel production and confluence model into the terrain model; configuring related parameters after the river channel runoff and convergence model is imported so as to complete establishment of runoff and convergence data in the terrain model; and obtaining a drainage basin water level calculation result in a target time range, and performing associated presentation on the drainage basin water level calculation result based on the runoff and confluence data established in the terrain model. According to the method, the water level fluctuation and flood routing process and the like can be displayed, and drainage basin production decision making, commanding and dispatching are assisted.