11 results about "Vadose zone" patented technology

This application relates to an in-situ self-aeration enrichment device for microorganisms in the vadose zone of contaminated soil, comprising an in-situ enrichment module, a filling matrix, and a composite nutrient additive. The in-situ enrichment module consists of a cuboid, a smooth frustum, and a long cylindrical air-guiding channel, which are integrally formed from bottom to top. The filling matrix is ​​placed into the enrichment module through a fine-mesh mesh bag. The composite nutrient additive is injected into the enrichment module through the long cylindrical air-guiding channel. This enrichment device improves the enrichment efficiency of uncultured microorganisms in the vadose zone of organically contaminated sites through the combined action of the in-situ enrichment module, the filling matrix, and the composite nutrient additive.

The present application relates to the field of groundwater data monitoring, and more particularly to a tailing pond groundwater real-time monitoring method and system based on the Internet of Things, which comprises: real-time acquisition of groundwater parameters in each area; determination of abnormal node clusters; determination of pollution plume diffusion path; determination of seepage anomaly type; issuance of early warning for sustained enhanced anomaly; and adjustment of threshold value according to stable seepage type anomaly. The present application achieves accurate early warning of abnormal seepage by arranging multi-source monitoring nodes in the tailing pond area, the dam front area, the dam rear area and the seepage zone, comprehensively collecting key hydrogeological parameters, classifying and identifying different types of seepage anomalies, dynamically correcting the threshold value based on the spatial distribution of stable seepage type node clusters, and making the monitoring system self-adapt to the changing groundwater environment, effectively solving the problem of difficult timely discovery of complex abnormal seepage due to single monitoring parameter, data update lag and insufficient anomaly recognition capability.

The invention discloses a multi-scale visual analysis method for an aeration zone water and salt migration driving mechanism, and belongs to the technical field of hydrogeology and environment monitoring. According to the method, a brand new multi-physical field coupling driving model is established, a spatial-temporal heterogeneity quantitative index of moisture-salt migration in a non-uniform pore medium is introduced, and continuous visual analysis from a micro pore scale to a macro region scale is realized by combining an independently designed visual mapping function. The method comprises the following steps: collecting multi-source heterogeneous hydrogeological data; constructing a driving potential field model based on pore network topology evolution; defining a coupling kinetic equation of salt transportation and a multi-scale feature extraction operator; designing a visual rendering parameter mapping rule; and the water-salt migration process is presented through a multi-dimensional dynamic map. The method can accurately reveal the driving mechanism of water and salt migration in the aeration zone and the cross-scale association rule of the driving mechanism, and is suitable for the fields of soil improvement, saline-alkali soil treatment, groundwater pollution prevention and control and the like.

This invention discloses a method and system for predicting soil moisture in the vadose zone. The method first acquires observational and simulated data of the vadose zone within the study area. Based on the time lag of soil moisture and the laws governing moisture transport, a historical feature vector prior to time t is constructed from the original data. Then, for shallow soil, the predicted moisture value is directly obtained using the historical feature vector. For each soil layer in the middle and deep layers, the simulated data is corrected for linear deviation to obtain corrected simulated values. A second machine learning model uses the historical feature vector to predict the residual predicted value between the simulated and observed soil moisture values. The predicted moisture value is then obtained based on the corrected simulated value and the residual predicted value. Finally, moisture prediction is performed on each soil layer along the time series to obtain a moisture prediction sequence for all soil layers. This invention achieves high-precision soil moisture prediction based on the fusion of process models and data-driven methods.

The invention discloses a pollution source downstream aeration zone perfluorinated and polyfluoroalkyl compound treatment system and method. The system comprises a low-permeability adsorption composite function barrier and an underground water remediation facility adjacent to the low-permeability adsorption composite function barrier. The composite functional barrier is formed by compounding a low-permeability material and a material with high adsorbability to PFAS, is arranged near a groundwater surface, and is used for changing a water flow path of an aeration zone above the groundwater surface, forcing the PFAS retained in the aeration zone to enter groundwater and adsorbing the flowing PFAS; the top of the composite function barrier is higher than the pollution plume of the downstream aeration zone of the pollution source and located above the groundwater annual fluctuation highest phreatic level, the bottom of the composite function barrier is located below the groundwater annual fluctuation lowest phreatic level, and the width of the composite function barrier is larger than that of the pollution plume. According to the method, the low-permeability adsorption composite functional barrier is constructed near the diving surface, the low permeability of the composite functional barrier forces PFAS enriched in a downstream aeration zone to enter underground water, and meanwhile, a high-adsorbability material in the composite functional barrier is used for effectively intercepting the flowing PFAS.

The invention relates to the field of groundwater replenishment mode research, in particular to a method for identifying a groundwater replenishment mode in a thick vadose zone area through combination of multiple tracers. The method solves the problem that the groundwater supply process in a thick aeration zone-aquifer system is difficult to find. The method comprises the following specific steps: 1, observing the shape of tracers (Cl <->, NO3 <-> and 3H) in a farmland / grassland soil profile; 2, analyzing the change of underground water tracers (Cl <->, NO3 <->, delta D, delta 18O and the like) along with time and the response of the underground water tracers to rainfall; 3, determining the tritium content and 14C apparent age of underground water; and 4, comparing the similarity of the composition of rainfall, soil water and groundwater isotopes (deltaD, delta18O), and evaluating the evaporation effect. According to the method, a plurality of chemical tracers, stable isotope and radioactive isotope fingerprint technologies are combined, the groundwater supply mode is evaluated at the same time from the aspects of the aeration zone and the saturation zone, the accuracy of the identification result is verified through multiple technical means, and a comprehensive method framework is provided for solving the groundwater supply mechanism in the thick aeration zone area.

The invention provides an instrument and a method for layered monitoring of aeration water, diving and confined water. The instrument for layered monitoring of aeration water, diving and confined water comprises a lower side circular supporting plate, the upper surface of the lower side circular supporting plate is fixedly connected with a lower side circular protection plate, and the inner surface of the lower side circular protection plate is slidably connected with an upper side circular protection plate; and the outer surface of the upper side annular protection plate is fixedly connected with a rectangular magnet for adsorption. By monitoring different water layers, additional mechanical protection is provided through the design of a lower-side annular protection plate and an upper-side annular protection plate, the durability and reliability of the equipment are improved, the equipment can utilize solar energy through an inclined solar panel and an illumination driving device, dependence on an external power source is reduced, and the service life of the equipment is prolonged. And the design of the electric telescopic rod and the lifting barrier plate allows the height and position of the equipment to be adjusted to adapt to different monitoring environments and requirements, thereby realizing convenient installation and maintenance.

The application discloses a kind of soil and groundwater VOC online monitoring device and method, the device includes: groundwater VOC collection unit, the preset volume of groundwater collected in situ is heated to boiling, while VOC in groundwater volatilizes, liquid internal gas phase enters the process in the upper portion of liquid surface VOC is stripped off;Soil VOC collection unit, the soil is heated in the vadose zone soil VOC monitoring well periphery, and VOC in soil enters gas phase by thermal desorption;VOC online monitoring unit receives groundwater VOC and soil VOC transmitted by high-temperature heat tracing sampling tube and respectively carries out concentration detection.The device and method of the application can overcome the technical defects of insufficient detection accuracy caused by insufficient VOC volatilization during on-site sampling in petrochemical sites, and can simultaneously realize online monitoring and early warning of soil and groundwater VOC pollution in petrochemical sites.

The invention relates to the field of underground water data monitoring, in particular to a tailing pond underground water real-time monitoring method and system based on the Internet of Things, and the method comprises the steps: obtaining underground water parameters of each region in real time; determining an abnormal node cluster; determining a pollution plume diffusion path; determining a seepage anomaly type; early warning is given out for continuous enhanced abnormity; and adjusting the threshold value according to the stable seepage type abnormity. According to the method, multi-source monitoring nodes are arranged in a tailing pond area, a dam front area, a dam rear area and a seepage zone, key hydrogeological parameters are comprehensively collected, different types of seepage anomalies are classified and recognized, accurate early warning of abnormal seepage is achieved, a threshold value is dynamically corrected based on spatial distribution of stable seepage type node clusters, and the early warning accuracy is improved. The monitoring system can adapt to the changing groundwater environment, and the problem that complex abnormal seepage is difficult to find in time due to the fact that monitoring parameters are single, data updating lags behind and the abnormal recognition capacity is insufficient is effectively solved.

This invention discloses an experimental system for simulating the vadose zone moisture transport process under the influence of surface water bodies. The system includes: a host computer module, a water supply unit, a flow collection unit, and, from top to bottom, an artificial rainfall unit, a surface water simulation unit, a vadose zone simulation unit, and a groundwater control unit connected sequentially. The host computer module receives data from each unit; the artificial rainfall unit adjusts rainfall intensity and duration; the surface water simulation unit simulates surface water bodies; the vadose zone simulation unit simulates different soil types; the groundwater control unit simulates groundwater; the water supply unit supplies water to the artificial rainfall unit, the surface water simulation unit, and the groundwater control unit; and the flow collection unit collects water overflowing from the surface water simulation unit and the groundwater control unit. The system can accurately reflect the vadose zone moisture transport patterns under the influence of surface water bodies.

The application discloses a fly ash backfill field groundwater pollution risk assessment method based on a double-module analytical model, and comprises the following steps: obtaining geological parameters, hydrological parameters and pollutant parameters of a backfill field area; constructing a vadose zone pollutant migration model based on the parameters, and calculating the concentration of the pollutant when the pollutant enters an aquifer; taking the output as the input, constructing an aquifer pollutant migration model, and predicting the pollutant concentration at a target sensitive point; comparing the predicted concentration with a groundwater quality standard value, and judging whether the groundwater pollution risk is controllable; determining a risk sensitive area based on the simulation result, and identifying key control parameters affecting the pollutant migration. The application adopts a double-model series analytical calculation method, simplifies the operation process, improves the accuracy and consistency of the risk assessment, and is suitable for groundwater pollution risk prediction and control of a fly ash backfill field.