364 results about "Subsurface flow" patented technology

The invention relates to the technical field of environment monitoring, in particular to an underground water pollution source traceability identification method and system, and the method comprises the following steps: S1, collecting the flow velocity, flow direction and water level change data of underground water in a polluted region in real time; s2, constructing a preliminary underground water flow model; s3, simulating a migration path of pollutants in underground water, and predicting a potential pollution source position; s4, processing the collected underground water flow velocity and pollutant diffusion path data, and removing abnormal data interference; s5, generating a spatial distribution map of the potential pollution source in combination with a geographic information system; and S6, verifying pollutant components and concentration distribution thereof, and confirming the accuracy of a traceability result. According to the invention, by combining a multi-pollutant traceability algorithm, an underground water flow model and a geographic information system technology, a pollutant migration path is accurately simulated and a pollution source spatial distribution map is generated, so that the precision and reliability of underground water pollution source traceability are greatly improved.

The invention relates to the technical field of environment monitoring, in particular to an underground water pollution real-time monitoring method and system, and the method comprises the following steps: analyzing the underground water flow direction and original pollution records in geographic information, combining the geologic structure and hydrological characteristics of a monitoring area, and through the water flow propagation characteristics; and marking the position of the pollution source and matching the pollution range to generate a matching result of the pollution source and the range. According to the invention, the underground water flow direction, the pollution record and the geological and hydrological characteristics are analyzed, the position and the range of a pollution source are accurately marked, the identification precision and the monitoring pertinence are improved, monitoring points are deployed at key positions, diffusion information is extracted in real time, an early warning threshold value is dynamically generated, early warning is issued in time, and emergency response is started, so that the pollution control efficiency is improved; rapid development of isolation and water quality treatment is ensured, closed-loop adjustment and optimization of monitoring parameters are realized, so that the method dynamically adapts to environmental changes, and comprehensive control of groundwater pollution is realized.

The invention relates to the technical field of water quality monitoring, in particular to a mining area groundwater environment monitoring system and method, and the system comprises a mining area groundwater partition recognition module, a groundwater pollution risk assessment module, a groundwater monitoring point optimization module, a groundwater pollution path analysis module and a groundwater dynamic monitoring planning module. According to the invention, through data-driven zoning and risk assessment processes, fine and dynamic management is realized in underground water environment monitoring, functional zone zoning boundaries are accurately calibrated, understanding of an underground water flowing mode is enhanced, pollution source control is more targeted, diffusion risk intensity is assessed in combination with flow velocity and pollutant release intensity, and the risk assessment accuracy is improved. The risk management strategy is optimized, the pollution diffusion range is predicted and identified more efficiently, the emergency response accuracy is improved, monitoring point arrangement is optimized through risk data, reasonable monitoring resource allocation is ensured, the sampling task weight and the time interval are dynamically adjusted, and resource optimization and monitoring efficiency improvement are achieved.

The invention relates to the technical field of three-dimensional observation, in particular to a geological deformation three-dimensional observation system and method, and the method comprises the steps: multi-dimensional data collection: synchronously obtaining data, and collecting ground temperature gradient field data and underground water flow velocity field data of a monitoring region; data space-time calibration processing: performing space-time reference unification processing on the acquired data to generate a multi-source displacement data set after space-time calibration; cold door parameter extraction: generating an environment coupling parameter matrix based on ground temperature gradient field data and underground water flow velocity field data in multi-dimensional data acquisition; modeling a three-dimensional deformation field: generating an initial three-dimensional deformation field model; dynamic model correction: performing iterative correction on the initial three-dimensional deformation field model to generate an optimized three-dimensional deformation field model; and visual early warning output: generating an early warning signal with a risk level identifier. According to the method, a multi-source heterogeneous data fusion system is constructed, and a cold geological parameter dynamic compensation mechanism is combined, so that high-precision three-dimensional deformation field modeling and early warning are realized.

The invention provides a mine water disaster monitoring and early warning method and system based on multi-source heterogeneous data fusion, and the method comprises the steps: collecting multi-source data of a mining area, carrying out the time-space alignment of the multi-source data, and generating a data set, the multi-source data comprising remote sensing data; preprocessing the data, inputting the preprocessed data into a multi-modal fusion network, and extracting surface water body distribution, lithologic permeability, underground water level and structural fracture characteristics to obtain a three-dimensional hydrogeological static model; the hydrological numerical model based on physical driving is coupled with the static model, and the dynamic model is used for simulating the dynamic change of an underground water flow field and a pollutant diffusion path; based on the dynamic model updated in real time, multi-target collaborative evaluation is carried out to evaluate the mining area water resource, ecological and social collaborative effect; and calling an unmanned aerial vehicle to inspect a leakage position or a settlement position in the hydrogeological risk map based on a multi-target collaborative evaluation result. According to the method, the prediction accuracy is improved through the multi-source data.

The embodiment of the invention provides a BIM-GIS three-dimensional twin geological modeling method and system based on cognitive enhancement. The method is applied to the technical field of geological modeling, and comprises the following steps: acquiring different data sources to carry out geological data acquisition, and carrying out preprocessing to obtain preprocessed geological data; converting the geologic body into a voxel three-dimensional model according to the preprocessed geologic data; performing multi-level optimization processing on the voxel three-dimensional model, constructing an optimized model, and performing three-dimensional display; and performing mineral resource space distribution prediction according to the voxel three-dimensional model, predicting the position and the number of mineral resources in combination with historical exploration data and a convolutional neural network, and performing underground water flow simulation analysis in combination with an underground water flow model. In this way, by combining the BIM and GIS technologies, the three-dimensional geological data can be efficiently and accurately managed and displayed, and the method can be widely applied to the fields of geological exploration, mining development, urban construction and the like.

The invention discloses a method for predicting the risk of a valley-type tailing pond being threatened by extra-small watershed flood, and the method comprises the steps: S1, obtaining the soil type, vegetation coverage and gradient of the extra-small watershed of the valley-type tailing pond, and the spatial distribution data of a valley, and building an underlying surface classification system; s2, non-linear key inducements in the rainfall-runoff process in the valley terrain extra-small watershed are extracted, dominant factors influencing runoff formation are recognized, and a non-linear confluence calculation numerical model is constructed; s3, constructing a distributed sensing monitoring network through a rainfall monitoring station and a runoff monitoring station; s4, constructing a layered three-dimensional hydrological hydrodynamic model of coupling rainfall runoff generation-slope confluence-shallow groundwater flow; and S5, establishing a risk assessment index system and a risk prediction model through a layered three-dimensional hydrological hydrodynamic model in combination with flood risk influence factors. According to the method, accurate prediction of the valley-type tailings pond under the flood threat in the extra-small watershed is realized, and the problem of poor predictability of the flood threat in the extra-small watershed is solved.

The invention discloses an underground water exploitable quantity evaluation method and system based on coupling of a physical mechanism and a neural network, and relates to the technical field of water resource management, meteorological data, surface water hydrological monitoring data, geological survey data, underground water resource development and utilization data and hydrogeological parameter data are integrated and preprocessed, and a basic data set is obtained; a three-dimensional geological model of a heterogeneous structure is constructed by utilizing a digital twin physical engine and combining drilling geological data. By introducing a digital twin technology and a numerical model, the underground water flowing process can be simulated more accurately, a digital twin physical engine is utilized to construct a heterogeneous aquifer digital model, a dynamic interaction process of surface water and underground water is embedded, and the model is enhanced through a graph neural network and a physical information neural network, so that the underground water flowing process is simulated more accurately. Errors caused by hypothesis of aquifer homogeneity, neglecting of surface water-underground water coupling process and the like of a traditional model are effectively reduced, and the accuracy of underground water exploitable quantity evaluation is improved.

The invention belongs to the technical field of underground water pollution source tracking, and particularly relates to an underground water pollution source analysis method based on multiple tracers and electronic equipment. The method comprises the following steps: setting a monitoring point; acquiring concentration information of various tracers in the underground water; drawing a plurality of tracer agent spatial distribution diagrams; determining an initial key pollution area and an initial migration diffusion area; simulating the historical pollution state of underground water according to the underground water fluid model; simulating a historical key pollution area and a historical migration diffusion area of underground water by combining the initial key pollution area and the initial migration diffusion area; and determining a pollution source and a migration and diffusion direction according to changes of the historical key pollution area and the historical migration and diffusion area. The underground water flow information is introduced, the determined pollution source position is accurate, a fluorescent tracer agent does not need to be put, and underground water is not affected.

The invention relates to the technical field of environment monitoring, in particular to an underground water monitoring and early warning method and system based on multi-source data fusion, and the method comprises the following steps: obtaining water quality, flow velocity, temperature and pH value data, adjusting the collection frequency, verifying the state of a sensor, forming a water quality and geologic feature data set, analyzing rainfall, air temperature, permeability and water flow dynamic state, and obtaining a water quality and geologic feature data set. And generating a seepage trend, identifying a pollutant diffusion path, range and main path, evaluating a diffusion rate and influence, and generating a pollution diffusion early warning level in combination with permeability and risk standards. According to the invention, through fusion analysis of multi-source data, determination of the correlation between an underground water flowing mode and water quality change, timely capturing of the influence of meteorological change on underground water, accurate evaluation of pollutant diffusion path, rate and influence range, improvement of timeliness and accuracy of pollution early warning, and improvement of monitoring response speed through automatic data processing. And timely and accurate decision support is provided for groundwater resource management and pollution control.

The invention belongs to the field of soil rock engineering, and provides a three-surface integrated geologic structure modeling method for a deep and large foundation pit in a river-adjacent region, which comprises the following steps: acquiring physical and mechanical parameters and hydrogeological information of the deep and large foundation pit in the river-adjacent region; dividing spatial distribution of different soil layers and rock stratums; describing the influence of water level time variation on the pore water pressure and subsurface erosion of the surrounding rock of the foundation pit through an unstable seepage equation; dividing a finite element or finite difference grid, and applying a dynamic water level and ground load boundary condition; gradually unloading and analyzing the evolution of an underground water flow field and a soil-rock deformation field in each excavation step, and enabling the water surface-ground-soil-rock surface coupling effect to penetrate through the whole excavation process; and numbering the support members, sequentially simulating local failures of the support members, recording the maximum horizontal displacement, the maximum vertical displacement or the change curve of the safety coefficient along with the number of the failure members after each failure of the foundation pit, quantifying the redundancy of the support system, and identifying key members. According to the scheme, the accuracy of the model is improved.

The invention relates to the technical field of data processing, in particular to a karst area mine groundwater pollution channel tracking method, which comprises the following steps of: acquiring groundwater flow data and pollutant concentration data of a plurality of monitoring points of a karst area mine; the water flow fluctuation degree of the monitoring point and the concentration trend change degree of various pollutants are obtained according to the underground water flow data and the pollutant concentration data, the overall pollutant concentration equilibrium proportion degree of the monitoring point is obtained according to the concentration difference between various pollutants and another matched pollutant, and the overall pollutant concentration equilibrium proportion degree of the monitoring point is calculated according to the water flow fluctuation degree. The characteristic distance between any two monitoring points can be obtained according to the concentration trend change degree of various pollutants in the current monitoring period and the previous monitoring period and the overall pollutant concentration equilibrium ratio degree, so that the monitoring points are clustered, the accuracy of the clustering result is improved, the tracking of the mine groundwater pollution channel is realized, and the monitoring efficiency is improved. And interference of actual mine operation activities on local monitoring points is avoided, so that the tracking accuracy of the pollution channel is enhanced.

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 relates to the technical field of data processing, in particular to a chemical industry park groundwater pollution risk dynamic assessment method fusing multi-source heterogeneous data. The method comprises the steps that multi-source heterogeneous data of a chemical industry park is acquired and preprocessed, and preprocessed multi-source heterogeneous data is obtained; performing preliminary feature extraction on the preprocessed multi-source heterogeneous data, and performing fusion processing to obtain fused data; based on the fused data, constructing a bidirectional coupling groundwater pollution migration simulation model, calculating a groundwater flow rate and a pollutant concentration, and constructing pollutant three-dimensional concentration distribution; based on the three-dimensional concentration distribution of pollutants, a weighted heterogeneous graph is constructed, a pollution propagation path is identified, a path potential score is calculated, a pollution risk index is calculated, and the pollution risk is dynamically evaluated. The technical problems that a traditional groundwater pollution risk assessment method is not accurate enough in multi-source heterogeneous data processing, not comprehensive enough in analysis and poor in self-adaptability of a chemical industry park are solved.

A fault zone underground water migration dynamic monitoring method comprises the following steps: step 1, acquiring geological information, rock stratum physical and mechanical properties and fault zone morphological characteristics of a to-be-monitored area; 2, drilling holes in the periphery of a fault zone and a tunnel construction area, arranging a fault groundwater data acquisition device, acquiring hydrological data in real time, establishing a three-dimensional visual platform by utilizing detected geological and hydrological information, and monitoring the hydrological information in real time; 3, according to the geological parameters obtained through detection, a fine numerical simulation model is established through numerical analysis software; 4, the monitoring center judges the water flow state and the early warning level through three data values, namely the safety threshold value S, the limit threshold value W and the measured value A. The invention further provides a fault underground water data acquisition device. Based on the Internet of Things technology, underground water flow velocity, flow, water level and other characteristics of a fault zone are collected in real time, a model is established, the collection frequency is dynamically adjusted, and an early warning mechanism is established according to a numerical simulation result.

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 hydrology and water resources, and discloses a cold and dry mountainous area drainage basin runoff simulation method based on an MIKE SHE / MIKE 11 coupling model in combination with GIS / RS data. According to the multi-source data fusion technology, a cold and dry mountainous area distributed input data set is constructed through TRMM satellite rainfall data, an MODIS LAI product and an ASTER DEM, and the rainfall space representation precision is improved by 40%. According to the model coupling mechanism, an MIKE SHE / MIKE 11 collaborative simulation framework is provided, earth surface-groundwater flow data interaction is achieved through river channel linkage, and the complex river network flood routing simulation error is reduced to 10% or below. According to the parameter partition calibration method, a drainage basin is divided into five hydrogeological regions, sensitive parameters such as a Manning coefficient and a hydraulic conduction coefficient are optimized in combination with a genetic algorithm, and the basic flow simulation precision is improved by 25%.

The invention relates to the technical field of tailing pond model construction, in particular to an earth surface groundwater combined tailing pond model construction method and system. According to the method, the SWAT-MODFLOW coupling model is established, the model combines the advantages of the SWAT model in surface hydrological process simulation and the accuracy of the MODFLOW model in underground water flowing process simulation, the characteristics of the hydrodynamic field and the seepage field of the tailings pond can be more comprehensively described, and the seepage flow of the dam body can be accurately predicted. And meanwhile, a dam body slope stability CPSO-BP prediction model is established by utilizing a coordinated particle swarm optimization algorithm and a BP network, and the model can describe a complex nonlinear relationship between the slope stability and influence factors thereof, so that the prediction precision is improved. The influence of the surface water and the underground water on the tailings pond is comprehensively considered, and compared with a traditional model only considering the surface water, the running state and the instability mechanism of the tailings pond can be simulated more truly.

The invention is applicable to the technical field of tunnel monitoring, and provides a tunnel groundwater flow monitoring and intelligent control method, which comprises the following steps of: acquiring actually measured groundwater flow, surrounding rock strain data, temperature data and crack opening based on a sensor; constructing a three-dimensional dynamic permeability field model, determining a permeability change rate peak value according to the three-dimensional dynamic permeability field model, and correcting the actually measured groundwater flow based on the permeability change rate peak value to obtain a compensation correction flow; performing data cleaning, normalization and stability test on the compensation correction flow; and training and verifying the ARIMA model based on the historical compensation and correction flow data, and predicting the groundwater flow in the future time through the verified ARIMA model. The constructed three-dimensional dynamic permeability field model considers the influence of surrounding rock strain, temperature and crack propagation on the permeability, and can reflect the dynamic change of the tunnel surrounding rock permeability in real time, so that the prediction result better conforms to the actual engineering condition.

The invention discloses a flood flow early warning method, a controller, a storage medium and a program product, and relates to the field of hydrological monitoring and disaster early warning. By adopting the technical scheme, after an emergency flow meter emits a first frequency modulation continuous wave to the water surface at the current position, the controller receives a first signal reflected by the water surface and analyzes the spectrum characteristic of the first signal; therefore, the stratified flow phenomenon of the water body is effectively identified. After the emergency flow velocity meter emits a second frequency modulation continuous wave to the water surface at the current position, the controller receives a second signal reflected by the water surface, determines the surface flow velocity and the subsurface flow velocity through the first signal, the second signal and a preset flow velocity calculation formula, and calculates the comprehensive flow velocity by combining the water flow layering coefficient; and finally, flow calculation is performed according to the section coefficient and the actually measured water level. According to the multi-level flow velocity measurement and analysis method, the accuracy of flood flow calculation is remarkably improved, when the instantaneous flow exceeds the preset flow threshold value, early warning is given out in time, and important support is provided for flood prevention and flood fighting.

The invention relates to the field of hydrogeology, and discloses a mine pit water inflow prediction method suitable for cohesive soil coverage, which comprises the following steps: special drilling: performing monitoring drilling on a mine, and simultaneously respectively adopting cohesive soil undisturbed samples at different positions to obtain cohesive soil data; monitoring data: respectively observing corresponding data of the drill holes by using a monitoring device; a group hole water pumping test is carried out on the mine to obtain a mine underground water flow field form, observation data are collected in real time in the water pumping process, and water pumping test data are obtained; and water release test: carrying out cohesive soil compaction water release test on the cohesive soil undisturbed sample in a high-pressure state by adopting special equipment. The cohesive soil data are obtained through special drilling, the foundation is laid for follow-up analysis, the dynamic state of the cohesive soil is mastered in real time through data monitoring, the basis for studying the characteristics and change rules of the cohesive soil is built by combining the data with the special drilling data, the interaction between underground water and the cohesive soil is studied through a water pumping test, and key support is provided for prediction.

The invention discloses a simulation deduction method and system for dynamic gradual change of a three-dimensional equivalent of an underground water flow field, and particularly relates to the field of underground water. Underground water level monitoring equipment is used for collecting underground water level data, preprocessing the collected underground water level data and integrating the data to form a unified data set; the method comprises the following steps: converting irregular underground water level data into regular three-dimensional grid data by adopting an interpolation method, generating a three-dimensional equivalent body of an underground water flow field according to an interpolation result, representing underground water level distribution of different depths and regions, carrying out dynamic simulation on the underground water flow field by utilizing a numerical simulation method, generating dynamic changes in a time sequence, and carrying out dynamic simulation on the underground water flow field. And constructing a prediction model of the underground water flow field change, deducing the change of the underground water flow field in the future by using the prediction model, and evaluating the water resource conditions in different scenes.

The invention relates to a method for comprehensively judging water leakage of a deep foundation pit through multi-parameter coupling, and belongs to the technical field of foundation pit water leakage monitoring. The method comprises the following steps that in a deep foundation pit support structure, an observation well and a dewatering well are arranged on the periphery, primary and secondary monitoring sections are arranged, and the underground water level is monitored in real time; in the rainfall process, the automatic collecting device records the change of the underground water level outside the pit, and if the change of the water level does not exceed 0.5 m, it is considered that no leakage point exists; if the length exceeds 0.5 m, judging that a potential leakage point exists, calculating the horizontal flow velocity of underground water, and determining a leakage zone; and further putting a tracer into the observation well with abnormal flow velocity, measuring conductivity, temperature and water level data, analyzing the data, judging whether abnormity occurs or not, and calculating the flow velocity of the underground water, so that the leakage position of the foundation pit support structure and the flowing direction of the underground water are accurately determined. According to the invention, misjudgment caused by faults or errors of a single sensor can be reduced, and the reliability and precision of leakage point positioning are improved.

The invention discloses a device and a method for measuring the flow direction and the flow velocity in a hole, and belongs to the technical field of water conservancy, hydrogeology and engineering geology. According to the measuring device, a plurality of conductivity probes are arranged on the lower edge of an upper tank base, and an electronic compass is arranged in each conductivity probe and used for measuring the flow direction of underground water in a hole; the bottom of the upper tank body is connected with the lower tank body, and a certain distance is reserved between the upper tank body and the lower tank body; the lower tank top cover is provided with a nozzle, and the lower tank base is provided with a water inlet hole. The technical problems that in the prior art, the flow direction and the flow speed of underground water in a micro-scale range in a single drill hole cannot be measured, and vertical turbulent flow interference of the underground water cannot be avoided in the measuring process are solved.

The invention relates to the technical field of hydrogeology, in particular to a karst underground water system characteristic analysis method and system. The method comprises the following steps: identifying an X-shaped joint controlled by a structural composite part through hydrogeological survey and geophysical exploration; plane distribution of underground water is determined, the position of an underground water main runoff zone on the plane is determined through drilling verification, and vertical feature extraction analysis is conducted on the underground water main runoff zone; analyzing the concentration and distribution characteristics of pollutants in the underground water, and identifying a pollutant transport channel; according to the vertical characteristics, multiple layers of water outlet sections in the vertical direction of the aquifer and relative water separation sections between the water outlet sections are determined; constructing a three-dimensional model of the hydrogeological structure, simulating underground water flow and pollutant migration, and predicting dynamic change characteristics of a future underground water system according to a simulation result; an on-site monitoring network is constructed, long-term monitoring is carried out, and the risk of the underground water system is identified. According to the technical scheme, the comprehensiveness and accuracy of karst underground water system analysis can be improved.

The invention discloses a method for evaluating influence of flow field control of a strip mine area on underground water. The method comprises the following steps: collecting geological data of a research area; hydrogeological research data are collected; collecting research hydrological data; establishing a research area conceptual model; establishing a research area numerical model; performing parameter assignment on the numerical model of the research area; calculating the numerical model of the research area; performing model feasibility analysis; and simulating an underground water flow field under mine area underground water control. According to the invention, the overall change condition of the underground water system can be comprehensively and dynamically known. The effectiveness of underground water control measures and the potential influence on the surrounding environment can be evaluated, and a scientific basis is provided for water resource management and environmental protection of a mining area.

The present invention discloses a chemical agent dispensing device for groundwater remediation, comprising: an outer cylinder for drilling, a medicine storage device for storing chemicals is arranged inside the outer cylinder, a medicine injection cylinder for mixing the chemicals with water is slidably inserted into the outer cylinder, a drainage device for introducing part of the groundwater into the medicine injection cylinder is arranged inside the outer cylinder, and a medicine discharging device for discharging the chemicals in the medicine injection cylinder into the groundwater is arranged on the medicine injection cylinder; in the present invention, the rotating blades in the medicine discharging device automatically adjust the rotation speed of the screw rod according to the groundwater flow rate, so as to realize the automatic adjustment of the discharging speed of the chemicals in the medicine injection cylinder into the groundwater. When the groundwater flow rate is fast, the discharging speed of the chemicals is increased; when the flow rate is slow, the discharging speed of the chemicals is decreased, so that the chemical agent dosage precisely matches the actual situation of the groundwater, significantly improving the utilization efficiency of the chemical agent and the remediation effect. Moreover, its structure is mainly composed of a screw rod, rotating blades, etc., and it works relying on the groundwater flow and mechanical transmission, reducing the probability of failure and the maintenance cost.

The invention discloses a composite artificial wetland system, and relates to the technical field of artificial wetlands. The composite artificial wetland system comprises an ecological pool, and a surface flow wetland unit, a horizontal subsurface flow wetland unit, an internal circulation system unit and plant ecological buffer zone units around the wetland are arranged in the ecological pool; the surface flow wetland unit comprises a wetland water inlet pipe and a wetland water outlet pipe which are arranged on the two sides of the ecological pool respectively, a gravel layer and a medium-coarse sand planting layer are sequentially stacked and laid at the bottom of the ecological pool, and a submerged plant vallisneria natans community is planted on the medium-coarse sand planting layer; the invention solves the problems of single function, low treatment efficiency and the like of the traditional constructed wetland, has the advantages of prominent denitrification effect, good phosphorus removal and suspended matter interception effect, strong impact load resistance, low cost, easiness in maintenance, ecological friendliness, landscape fusion and the like, also has the advantages of initial rainwater interception and the like, and is wider in application range.

The utility model discloses a folding type subsurface flow wetland capable of being produced in batch, which relates to the technical field of sewage treatment, and comprises an anti-seepage film and a cushion layer which are paved in a plain soil pit, the cushion layer is filled in a closed area enclosed by the anti-seepage film, the cushion layer comprises a packing layer and a soil mellow layer, the packing layer is paved on the anti-seepage film, and the soil mellow layer is paved on the packing layer. According to the rural domestic sewage treatment device, sewage is treated through a microbial soil infiltration treatment technology, the rural domestic sewage treatment effect is considered, meanwhile, the construction difficulty is small, the occupied area is small, the construction period is shortened, and the construction cost is reduced. The system can be fully integrated into a small vegetable garden or small garden ecological system of a peasant household, protects the farmland cultivation and planting habits of the peasant household, is small in investment and low in cost, and meets the requirements of domestic sewage treatment and recycling in vast rural areas.

The invention relates to the technical field of foundation pit dewatering, in particular to an intelligent control method and system for foundation pit dewatering, and the method comprises the steps: carrying out the historical data collection of an area where foundation pit excavation and dewatering are planned, and finding an underground water level rule and an underground water flowing direction rule of the area under various air temperature and dewatering conditions through the historical data. After the rule is obtained, the flow direction and the water level of the underground water can be predicted by using the meteorological data at the future time point, and then the position of the precipitation well is arranged by using the flow mode of the underground water, so that the position of the precipitation well is more reasonable. Besides, the water level in the dewatering well is controlled through the water pump, during control, the underground water level rule is used for predicting the underground water change amount in the future time, the change amount is used for adjusting a water pump control signal in advance, and therefore the method has the good external interference resisting capacity.