225 results about "Surface runoff" patented technology

The invention provides a drainage basin water quality pollution traceability analysis method and system fused with space-time big data, and relates to the technical field of pollution analysis, and the method comprises the steps: collecting water quality, weather, surface runoff and other data, and generating a data set through space-time label association; and on the basis of the data set, constructing a pollutant migration and diffusion model containing a pollutant concentration attenuation and flow direction prediction sub-model, and calculating a pollutant concentration change rate and a migration path. And finally, the pollution sources are divided into point source pollution, non-point source pollution and endogenous pollution through the pollution source identification model, the contribution rate of each pollution source is calculated, and a pollution traceability analysis report is generated. The method can comprehensively consider the influence of various factors on the water quality, realizes the accurate positioning and quantitative analysis of the pollution source, and improves the traceability efficiency and accuracy.

The invention discloses an intelligent discharge port dynamic regulation and control system and method based on multi-source time sequence fusion, and relates to the technical field of intelligent water affairs, and the system comprises a data collection module which is used for obtaining the multi-source data of a target area in real time; the space-time fusion module is used for mapping the meteorological radar data to the topological space of the drainage pipe network through a space-time alignment encoder, dynamically fusing the meteorological radar data, the surface runoff sensor data and the historical drainage data by adopting a multi-head attention mechanism, and generating a space-time fusion tensor; the prediction model module is used for constructing a TCN-LSTM hybrid model, taking the space-time fusion tensor as input and taking future drainage flow as output; and the dynamic regulation and control module is used for optimizing the gate opening degree and the pump station power control sequence in a rolling manner based on a model predictive control algorithm, and performing dual-target optimization by combining real-time electricity price data and overflow risks. According to the system, the prediction precision of the drainage flow can be improved, and double-target balance of the overflow risk and the energy consumption cost can be achieved.

The invention relates to the field of hydrology and water resource management and karst hydrodynamics, and discloses a karst basin coupling hydrology model prediction method, which comprises the following steps: S1, collecting and standardizing multi-source heterogeneous monitoring data of a karst basin; s2, constructing a hydrological model for dynamic coupling of surface runoff, fracture seepage and a pipeline network; s3, performing global optimization on the multi-dimensional hydrological parameters by adopting a hybrid intelligent optimization method; s4, performing iterative correction on the model based on a multi-level verification system; and S5, outputting a hydrological prediction result and generating disaster early warning information. By adopting a dynamic adjusting technology of karst area underground river and surface water flow network joint modeling, multi-karst water-containing medium characteristic analysis and integration of underground river and surface water system response characteristics, the problems that a traditional method cannot accurately predict underground water flow and flow velocity, and is difficult to deal with complexity of a karst water system, lack of data and the like are solved.

The invention discloses an urban inland inundation simulation method based on an SWMM and SIMWE coupling model. The method comprises the steps that basic data and historical heavy rainfall data of a research area are collected and processed; rainstorm events in different recurrence periods are designed; an SWMM-SIMWE coupling model is constructed and verified; and simulating the urban inland inundation condition in a certain period of time in the future based on the designed rainstorm. According to the method, the SWMM model and the SIMWE model are combined and used for simulating an underground drainage system and surface runoff respectively, and water flow movement and accumulated water distribution under the complex urban terrain can be reflected more accurately and efficiently. According to the method, through a reasonable coupling mechanism, the problem that in the prior art, the urban drainage system and the surface runoff dynamic state are difficult to accurately and efficiently simulate is solved, and the water exchange efficiency and precision between the underground drainage system and the surface water flow are remarkably improved. The simulation result provides a scientific basis for urban inland inundation risk assessment and flood control and drainage system optimization, and is helpful for improving the disaster defense capability of cities.

The invention discloses a flood detention area emergency evacuation early warning method based on environmental perception and intelligent analysis, and relates to the technical field of flood control and disaster mitigation, and the method comprises the steps: collecting the original data of a flood detention area site, and forming a monitoring array; a monitoring array is divided into a plurality of monitoring units according to geographic grids, a rainfall permeation model is established according to rainfall data and soil humidity data, a surface runoff field is constructed in combination with terrain elevation data, and the confluence direction of the runoff field is calibrated through water level data; based on a rainfall penetration model and a surface runoff field, generating a flood detention area inundation evolution sequence, segmenting into an inundation grade map according to a time step length, planning a flood detention area emergency evacuation path, matching with a road network in a geographic information system, generating an optimal evacuation path, and issuing graded early warning information to an early warning area. And sending a withdrawal instruction to residents in the flood detention area through the emergency broadcasting system. According to the invention, by establishing a partition early warning mechanism and a differential early warning strategy, accurate delivery and efficient transmission of early warning information are realized.

The invention relates to the technical field of data integration, and particularly discloses a perfluoro / polyfluoroalkyl substance multi-source exposure data integration risk assessment system, which is characterized in that environmental exposure data of perfluoro / polyfluoroalkyl substances is acquired through a multi-source environmental sensor array, and a PFAS multi-mode exposure feature database is established; carrying out pollution source isotope fingerprint analysis, and obtaining source contribution rate distribution maps of three pollution sources of industrial emission, surface runoff and atmospheric settlement through a nonlinear source analysis algorithm; constructing a three-dimensional geographic information dynamic migration model according to the source contribution rate distribution map, and generating a multi-medium dynamic migration flux matrix; a composite risk assessment model is established based on the multi-medium dynamic migration flux matrix, probability risk assessment is executed in combination with an ecological toxicity threshold database, and a space gridding risk grade map is output; the method not only fills the blank of the prior art in the aspects of multi-medium dynamic modeling and nonlinear source analysis, but also provides powerful technical support for environmental pollution control and ecological risk prevention and control.

The invention relates to an urban rainfall flood process forecasting method based on data assimilation and multi-mode coupling, and the method comprises the following steps: (1) collecting historical meteorological data, hydrological data, topographic data, soil texture data, vegetation data and urban infrastructure data in a region; performing quality control and format standardization on all the data, and inputting the data to a GIS technology-based visual analysis and decision-making platform; (2) establishing a parameter transfer rule among the WRF, the SHUD and the two-dimensional hydrodynamic model; (3) operating WRF, obtaining regional high-resolution rainfall forecast data, performing EnKF dynamic updating, and inputting the data to the platform; (4) driving the SHUD to obtain regional surface runoff and groundwater prediction data, performing EnKF dynamic updating and inputting the data to the platform; (5) driving the two-dimensional hydrodynamic model to obtain a flood propagation path and spatio-temporal release data of a submerged area, and inputting the data to the platform; and (6) forming risk level assessment by using an automatic threshold identification technology, and inputting the risk level assessment to the platform. The method is high in practicability and can realize accurate forecasting.

The present application relates to the technical field of heavy-metal pollution remediation, and relates in particular to a soil heavy‐metal accumulation predicting method employing an emission inventory and a receptor model. The method comprises: using atmospheric dust deposition, irrigation water, chemical fertilizers and pesticides as input flux sources of heavy metals to farmland soil, using surface runoff and crops as output fluxes, and constructing an input-output flux inventory of heavy-metal pollutants to clarify a dynamic balance relationship of soil heavy-metal accumulation; and continuously collecting and monitoring of soil samples. The invention provides crucial assistance in determining the transport balance of heavy metals in farmland areas impacted by non-ferrous metal smelting and beneficiation slag sites and in identifying sources of soil heavy-metal pollution, and offers theoretical guidance for subsequent soil heavy-metal remediation and targeted control.

The invention discloses a non-linear production and confluence characteristic analysis method for a valley terrain extra-small watershed. The method comprises the steps that S1, valley terrain-hydrological data are acquired, and hydrological grid units are spatially divided; s2, identifying hydrological behavior characteristics of the hydrological grid units to form independent hydrological response units; s3, analyzing a first influence degree formed by rainfall infiltration, a second influence degree formed by surface runoff and a third influence degree formed by dynamic change of soil moisture in the hydrological response unit, and constructing a valley dynamic fluid model; s4, combining the valley dynamic fluid model with the underground water flow model and the surface water flow model to form a hydrological-hydrodynamic simulation framework; and S5, simulating various rainfall scenes by using a hydrological-hydrodynamic simulation framework, performing analysis in combination with valley microtopography factors, calculating flow change rates of different rainfall scenes, and identifying nonlinear features. According to the method, high-precision simulation and prediction of the valley terrain extra-small watershed are realized, and the accuracy and timeliness of productivity and confluence analysis are improved.

The invention discloses a surface runoff cause identification method and device based on deep learning and interpretability analysis, and is used for solving the technical problem of low identification precision caused by the existing surface runoff cause identification method. The method comprises the following steps: acquiring meteorological and hydrological factor time series data, and inputting the meteorological and hydrological factor time series data into a surface runoff cause identification model based on deep learning; the surface runoff cause identification model based on deep learning comprises a one-dimensional convolution module, a bidirectional long short-term memory network and an identification module based on a multi-head attention mechanism. A one-dimensional convolution module is adopted to carry out convolution operation on the meteorological and hydrological factor time sequence data, and a local response feature sequence is output; performing bidirectional processing operation on the local response feature sequence through a bidirectional long-short-term memory network to generate a target comprehensive feature sequence; and inputting the target comprehensive feature sequence into an identification module based on a multi-head attention mechanism for identification, and outputting a target surface runoff cause identification result.

The invention discloses a water conservation amount calculation simulation method based on an RCCC-WBM hydrological model, and the method comprises the steps: collecting hydro meteorological data in a research basin, calculating the average rainfall, air temperature and water surface evaporation amount of a lunar surface, and inputting the average rainfall, air temperature and water surface evaporation amount into the model; calculating and researching the average soil water content, the actual evapotranspiration, the surface runoff, the snow melting runoff and the underground runoff of the watershed for many years by adopting an RCCC-WBM model; according to the monthly-scale water source conservation amount calculation formula and the annual-scale water source conservation amount calculation formula, the monthly-scale water source conservation amount and the annual-scale water source conservation amount of the drainage basin are calculated respectively. The water conservation amount calculation formula provided by the invention can effectively avoid the negative value problem in water conservation evaluation, and the dynamic process of the basin water conservation amount can be calculated through the state variable and the intermediate output result of the RCCC-WBM model. The water conservation amount calculation method provided by the invention has less requirements on input data and parameters, and has a better simulation effect on a hydrological process.

The invention discloses a source network, plant, river and lake integrated model simulation method and device, a medium and equipment in the technical field of regional water environment pollution treatment. The method comprises the following steps: inputting a boundary condition and an initial condition of a first model into a pre-constructed surface runoff production and convergence model of a target area, and outputting a flow rate of surface runoff and a water quality index time sequence; inputting the boundary condition and the initial condition of the second model into a pre-constructed pipe network model of a target area, and outputting a flow and water quality index time sequence of key nodes in a pipe network system; and inputting the boundary condition and the initial condition of the third model into a pre-constructed riverway and lake grid model of a target area, and simulating the river and lake hydrodynamics and water quality change process of the target area. According to the invention, coupling simulation of surface runoff, pipe networks, rivers and lakes is realized, and a propagation path and an influence mechanism of pollutants are comprehensively reflected; and high precision and reliability of the model are ensured through parameter calibration.

The invention provides an agricultural non-point source load simulation calculation method, and relates to the field of agricultural non-point source pollution calculation, and the method comprises the steps: constructing an agricultural non-point source load calculation model, reading surface runoff time sequence data of each hydrological response unit in a drainage basin, and setting corresponding model parameters; setting a time step length, sequentially calculating the thickness of soil capable of being scoured in the current time step length, the amount of pollutants capable of being scoured in unit area and the amount of pollutants actually scoured in unit area by utilizing surface runoff time sequence data and model parameters, and finally obtaining the updating amount of the concentration of the soil pollutants in the current time step length. All hydrological response units are respectively subjected to the above calculation in the simulation time period to obtain a time sequence of the soil pollutant concentration updating amount, and the agricultural non-point source load of the drainage basin in the simulation time period is calculated in combination with the surface runoff time sequence data. According to the method, the natural process in the agricultural non-point source scouring process is fused into the model, and the obtained agricultural non-point source load is more accurate and more interpretable.

The invention discloses a ground-air integrated agricultural detection system and method, and relates to the technical field of agricultural detection. Farmland multi-dimensional data are collected through the ground-air sensor, and the farmland environment is comprehensively monitored. Based on the soil moisture dynamic change and the crop root activity data, obtaining a root moisture utilization efficiency index; identifying crop disease symptoms and pest population distribution, predicting a pest diffusion trend, and obtaining a pest propagation risk index; the soil erosion risk index is obtained by analyzing the soil particle loss, the surface runoff intensity and the vegetation coverage change. The early warning module comprehensively evaluates the root system moisture utilization efficiency index, the disease and pest propagation risk index and the soil erosion risk index to obtain a farmland detection index, an early warning mechanism is set, and early warning information is generated when the farmland detection index triggers an early warning condition. Farmland conditions can be monitored in real time, a scientific management basis is provided, the intelligent level of agricultural management is improved, and resource waste and crop loss are reduced.

The invention discloses a stepped layered soil fixation and slope protection structure based on plant root system bionics, and belongs to the technical field of ecological slope protection, the stepped layered soil fixation and slope protection structure comprises a stepped frame, a soil fixation module and a water circulation module, the stepped frame is composed of a plurality of slope protection units, the slope protection units are arranged in a stepped mode along a slope surface to form a multi-layer stepped platform, and the water circulation module is connected with the soil fixation module. The adjacent step platforms are connected through anchor rods, the slope protection units are hollow, and root system imitating grooves are formed in the slope protection units. The soil fixation module is arranged in the slope protection unit and is divided into a base layer module, a middle module and a surface layer module from bottom to top; the water circulation module is connected with the step platforms of all the layers and supplies water to vegetation. According to the layered plant root system bionic structure, the anti-sliding and anti-scouring capacity is improved, the stepped structure is adopted, slope runoff is dispersed through the stepped platform, meanwhile, the growth space of plants is provided, engineering materials and the plants are combined, the efficient, ecological and lasting soil fixation and slope protection structure is formed, construction is convenient and fast, and the structure can adapt to complex terrains.

The present application relates to the technical field of the treatment of heavy metal pollution, and in particular, to a method for predicting heavy metal accumulation in soil based on an emission inventory and a receptor model. Atmospheric dust fall, irrigation water, a fertilizer, and a pesticide are used as heavy metal input flux sources of farmland soil, and surface runoff and a crop are used as output fluxes. A heavy metal pollutant input-output flux inventory is established to specify a dynamic equilibrium relationship of heavy metal accumulation in soil, and soil samples are collected and monitored continuously, which provides important help for determining a migration equilibrium of heavy metals in a farmland region affected by a nonferrous metal dressing and smelting slag yard and a source of soil heavy metal pollution, thereby providing theoretical guidance for subsequent prevention and accurate control of heavy metals in soil.

The invention discloses an ecological restoration method for waste alum mine land. The ecological restoration method comprises the following steps: (1) soil improvement; (2) suitable plant species are selected, vetiver grass is planted in herbaceous species, neoleucaena leucocephala and broussonetia papyrifera are planted in arbor species, and lespedeza speciosa is planted in shrub species; (3) firstly adopting grass planting belts to fix the soil, selecting vetiver grass seedlings for planting, and planting one grass belt every 10 meters along the contour line to fix the soil; and planting arbors, shrubs and other herbaceous plants among the planting belts. The invention has the following advantages: 1, degraded soil can be repaired and improved, soil functions are recovered, and further degradation of land is prevented; 2, the living environment of other species is locally improved, and water and soil loss is prevented; and 3, the water storage function of the waste land is improved, and the underground root system and the overground stem leaves have mechanical reinforcement, anchoring and supporting effects and obvious water and soil conservation and ecological slope protection functions of intercepting rainfall, inhibiting surface runoff, weakening splash erosion and the like.

The invention relates to a method for identifying key driving elements of runoff formation of a complex underlying surface of a city, which comprises the following steps of: firstly, defining a variable source index as a new index for measuring dynamic contribution of a city impervious area to runoff formation; simulating and calculating a variable source index under the situation of combination of different influence factors through an urban rainfall flood model; further optimizing hyper-parameters of support vector regression by using a support vector regression model in combination with a Bayesian optimization method, and establishing a relation model between the influence factors and the variable source indexes; and finally, analyzing the interpretability of the support vector regression model by using an SHAP value, and quantifying the contribution degree of each influence factor to the variable source index. According to the method, the influence of the multi-element synergistic effect on the complex underlying surface runoff process is considered, the accuracy of urban rainfall flood simulation and prediction is effectively improved through urban rainfall flood model simulation fusing physical basis and data-driven machine learning, and a new thought is provided for urban hydrological modeling and rainfall flood management.

The invention discloses an ecological maintenance structure for the geological environment of a slope in a high-altitude freeze-thaw area, and belongs to the field of ecological restoration and water and soil conservation of slopes in high-altitude frozen soil areas. Comprising a side slope platform, a slope surface is integrally formed on the rear surface of the side slope platform, a plurality of drainage channels are integrally formed in the front surface of the slope surface, a plurality of sedimentation tanks are formed in the position, located in front of the slope surface, of the upper surface of the side slope platform, and the drainage channels communicate with the sedimentation tanks correspondingly; the two adjacent sedimentation tanks are communicated with each other; a water pumping mechanism is arranged on the right side of the side slope platform; an irrigation mechanism is arranged on the upper surface of the slope surface; the irrigation mechanism comprises a mounting box; the water flow speed is slowed down through the interval variable angle design of the drainage channel; the surface runoff can be rapidly guided through the 30-degree slope section, and frost heaving caused by accumulated water permeation is avoided; the 5-degree gentle slope section promotes natural sedimentation of silt by reducing the water flow speed, reduces water and soil loss and disperses hydraulic scouring.

The invention discloses a hydrological forecasting method, medium and equipment for correcting surface runoff simulation precision, and relates to the technical field of hydrological forecasting. The method comprises the following steps: acquiring hydrological driving data, and establishing a hydrological model; constructing a machine learning model to calculate the dynamic contribution weight and contribution water volume of the surface runoff simulation value to the sub-basin outlet flow simulation value; calculating a proportion correction coefficient K by applying a proportion correction method according to the observed value and the simulated value of the outlet flow of the sub-basin; according to the grid surface runoff simulation value and the contribution water volume of the grid surface runoff simulation value to the sub-basin outlet flow simulation value, a reverse correction coefficient C is calculated; an error correction factor alpha is introduced, the grid surface runoff simulation value is corrected through the proportion correction coefficient K, the reverse correction coefficient C and the error correction factor alpha, the corrected grid surface runoff simulation value is used for correcting the hydrological model, and the corrected hydrological model is used for hydrological prediction. The simulation precision of the drainage basin outlet flow can be improved.

This invention discloses a non-uniform fertilization method for controlling non-point source pollution in sloping farmland, comprising: determining the type of cultivated crop and fertilization spacing based on the slope of the target treatment area; dividing the target treatment area into several plots of the same size, determining the slope length based on the slope of each plot, and dividing each plot into three slope positions: the foot, the middle, and the top; determining the fertilization amount at the top of the corresponding plot based on the soil nutrient background value; fertilizing each plot in the target treatment area, with the fertilization amount decreasing proportionally at the top, middle, and foot of the slope; collecting surface runoff samples generated after rainfall at the lower part of each plot, measuring pollutant indicators in the collected water samples to obtain non-point source pollution results; and after the crops on the sloping farmland are harvested, measuring and calculating the crop's fertilizer absorption and utilization efficiency, and obtaining the crop output under non-uniform fertilization. This invention can effectively reduce non-point source pollution in sloping farmland while ensuring crop yield, and has the advantage of low cost.

The invention discloses an intelligent irrigation dynamic regulation and control method and system based on multi-source data. The method comprises the steps that the daily total water demand volume is calculated; acquiring the volume moisture content of the soil of the surface layer and the main root system layer in real time through an array sensor, and calculating the real-time infiltration gradient between the surface layer and the main root system layer; and executing a pulse irrigation process formed by alternation of irrigation pulses and infiltration waiting pulses, stopping water supply when the volumetric water content of the surface layer reaches a first preset threshold value, starting next water supply when the real-time infiltration gradient is lower than a second preset threshold value, and stopping water supply until the accumulated irrigation amount reaches the daily total required water volume or deep layer leakage is monitored. The system is used for executing the method. According to the method, the soil internal infiltration gradient serves as the physical basis of pulse start and stop, efficient conveying of water to deep soil is achieved, the contradiction that surface runoff and deep root system water shortage coexist is solved, and the water utilization rate is increased.

The utility model discloses a water and soil conservation ecological protection slope which comprises an original soil layer, and the original soil layer is covered with construction slag. The tail end of the platform drainage ditch is communicated with the side face of the side drainage ditch, a bottom step is arranged on the bottom face of the inner side of the side drainage ditch, a drainage pipe is fixed to the middle of the masonry slag blocking wall in a penetrating mode, and an inverted filter layer is installed at the end, close to construction slag, of the drainage pipe. The top end of the compacted slope is connected with one side of a top drainage ditch, top covering soil is arranged on the surface of the construction slag body on the other side of the top drainage ditch, and a grouted rubble drainage ditch is installed at the tail end of the top covering soil. According to the water and soil conservation ecological protection slope, a novel structural design is adopted, slag bodies generated in the whole construction process are effectively utilized, surface runoff is effectively guided through the multiple drainage ditches, water and soil loss is avoided, meanwhile, accumulated water flow is discharged at the slope bottom, it is guaranteed that the whole slope body is stable, and the service life of the slope body is prolonged. Meanwhile, the artificial traces can be covered by vegetation, and local ecology multidirectional restoration is facilitated.

The invention discloses a drought-resisting, waterlogging-preventing and fertility-increasing crop diversity utilization system for organic sorghum in mountainous regions and an establishment method thereof, and belongs to the technical field of comprehensive utilization of rainwater. The system comprises a water guide groove, the water guide groove comprises a vertical water guide groove and an equal-height water guide groove, and the vertical water guide groove is connected with the equal-height water guide groove; the filter tank is connected with the vertical water chute; the reservoir is connected with the filter tank; the water tank is connected with the reservoir and used for controlling the water level of the reservoir; plants are planted above the water guide grooves; rainwater and surface runoff flow into the equal-height water guide groove, flow into the filter tank through the vertical water guide groove, flow into the reservoir to be stored after being filtered by the filter tank, and nutrients generated by plants flow into the reservoir along with water flow. The problems that the slope farmland field rainwater resource utilization rate is low, and the waterlogging-preventing and drought-resisting efficiency is low are solved. Waterlogging of crops caused by concentrated rainfall in the mountainous region is reduced, water resources in the mountainous region are reasonably utilized, the plants and the crops are intercropped, and diversity planting of the crops and integration of water and fertilizer are achieved.

The invention discloses a rice irrigation area nitrogen and phosphorus reduction process simulation method and system. The method comprises the following steps: respectively calculating irrigation nitrogen and phosphorus concentration and field surface water nitrogen concentration of a current round of a rice irrigation area according to meteorological data, field management data and water quality monitoring data; determining the concentration of pollutants carried by surface runoff and underground leaching load according to the nitrogen concentration of the field surface water; calculating the migration attenuation of the nitrogen and phosphorus concentration in the ditch based on preset ditch parameters and the concentration of pollutants carried by the surface runoff to obtain the ditch outlet concentration; calculating the pond purification concentration based on preset pond parameters and the ditch outlet concentration; and calculating the recharge water phosphorus concentration according to the pond purification concentration and the recharge proportion, and updating the irrigation water phosphorus concentration of the next round in the rice irrigation area according to the recharge water phosphorus concentration to finish the reduction process simulation of nitrogen and phosphorus in the rice irrigation area. The method can be used for quickly and accurately simulating the nitrogen and phosphorus reduction process and discharge load of each part of the paddy irrigation area from field to ditch to pond.

The invention provides a mountainous area railway drainage facility site selection method based on a hydrological space site selection analysis model, and relates to the technical field of runoff pollution control, and the method comprises the steps: carrying out the preprocessing of collected data, and obtaining the environment data of a mountainous area railway; a terrain factor analysis layer, a runoff calculation layer, a dumping point screening layer, a spatial clustering analysis layer, a geometric recognition classification layer and a drainage facility recommendation layer are utilized to construct a three-dimensional hydrological space site selection analysis model; and carrying out spatial clustering dimension reduction analysis and surface runoff calculation on the mountainous area railway environment data by utilizing the three-dimensional hydrological space site selection analysis model to obtain a site selection result of the mountainous area railway drainage facility so as to finish site selection of the mountainous area railway drainage facility. The method solves the problem that accurate site selection of drainage facilities of mountainous railways is difficult.

The invention discloses a CA-LSTM-RF soil heavy metal accumulation space-time prediction algorithm under a deep learning framework, and belongs to the technical field of soil heavy metal accumulation space-time prediction algorithms, and the algorithm comprises the steps: obtaining soil heavy metal content data of each sampling point in a plurality of historical periods in a target region and an environment variable data set affecting soil heavy metal accumulation; the method comprises the following steps: performing abnormal value detection, missing data supplementation, alignment processing, quantification processing, normalization processing and time sequence coding on data, performing cellular water flow direction judgment by improving a CA model and designing diffusion process simulation of adaptive time, and calculating heavy metal surface runoff diffusion by using a Manning formula. And taking the diffusion value of the heavy metal along with the surface runoff and the environment variable data as input, extracting a historical data relationship through LSTM, outputting a soil heavy metal accumulation prediction value at the current moment, and taking the output of the LSTM as input to construct an RF model to predict the spatial characteristics of the soil heavy metal.

The invention discloses a rainfall flood all-dimensional monitoring system which comprises a bottom foundation base arranged on the ground or at the water bottom, and a floating type monitoring mechanism is arranged above the bottom foundation base. The floating monitoring mechanism and the bottom foundation seat are both connected to the vertical telescopic rod, the axes of the floating monitoring mechanism, the bottom foundation seat and the vertical telescopic rod coincide, a transverse connecting arm is installed at the position, located above the water surface, of the upper portion of the vertical telescopic rod, and the transverse connecting arm is connected with an elastic outward-expanding rainfall monitoring mechanism. The rainfall capacity can be accurately monitored in real time, meanwhile, surface runoff is monitored, specific rainfall flood data information is effectively judged in time, and corresponding measures are taken according to the obtained data information to prevent rainfall flood disasters. The method is suitable for the technical field of rainfall flood monitoring.

The invention relates to the technical field of urban drainage modeling simulation, in particular to a hybrid drive modeling method and device for an urban drainage pipe network, and the method comprises the steps: constructing a control equation of an earth surface runoff generation stage and a control equation of a pipe network conveying stage, and constructing a hybrid drive model based on the control equation of the earth surface runoff generation stage and the control equation of the pipe network conveying stage; constructing a mechanism driving model, and obtaining a prediction result error of the mechanism driving model; and establishing a data driving model, inputting the error into the data driving model to calculate a residual error correction value of the data driving model, determining a dynamic compensation value, fusing the dynamic compensation value and a prediction result based on a corresponding weight, and constructing a hybrid driving model of the urban drainage network. Therefore, the problem that the simulation precision and robustness of a complex drainage system cannot be effectively guaranteed due to the fact that the related technology still has obvious weaknesses in the aspects of complex working condition adaptability, multi-facility cooperative regulation and control supporting capacity, atypical rainfall scene prediction precision and the like is solved.

The invention provides a plant-network-river integrated dispatching simulation calculation method and system based on parallel calculation, and the method comprises the steps: obtaining drainage facility attributes, canal plane distribution and section topography, regional digital elevation and land utilization distribution of a dispatching region, and building an SWMM model; collecting rainfall, surface runoff, and water level, flow and water quality monitoring data in the pipe duct confluence and transmission process of different sessions, and performing parameter calibration on the SWMM model to obtain a calibrated SWMM model; constructing a joint optimization scheduling algorithm model by utilizing a particle swarm algorithm, outputting a drainage facility joint regulation and control rule, inputting the joint regulation and control rule into the calibrated SWMM model, and obtaining a simulation calculation result by adopting a parallel calculation mode; and setting a scheduling rule evaluation index to evaluate the simulation calculation result, and outputting an optimal drainage facility joint regulation and control rule. According to the invention, a CPU parallel computing mode is adopted to realize analog computation of factory-network-river integrated operation scheduling, computer performance is fully exerted, and scheduling decision efficiency is improved.