400 results about "Wetland" patented technology

The invention discloses a wetland carbon sink benefit evaluation method and system based on remote sensing data, and relates to the technical field of carbon emission evaluation. A wetland carbon sink benefit evaluation system based on remote sensing data comprises a carbon sink evaluation zoning module and a carbon sink benefit evaluation module. According to the invention, through multi-modal remote sensing data fusion and fine grid division, high-resolution analysis of spatial heterogeneity of a wetland region is realized, different types of carbon sink regions and distribution boundaries thereof can be accurately identified, and scientificity and particles of carbon sink partitioning are improved; a dynamic index characteristic graph layer is constructed through a remote sensing time sequence, a hydrological pulse response factor graph layer is constructed in combination with hydrological data, and clustering division is performed on the hydrological pulse response factor graph layer, so that dynamic identification and pixel level benefit calculation of a dynamic carbon sink area are realized.

The invention relates to the technical field of forest wetland carbon sink monitoring and evaluation, and particularly discloses a forest wetland carbon sink intelligent monitoring and evaluation system and method. According to the method, a vegetation carbon sequestration potential evaluation result is obtained by analyzing vegetation structure feature data of forest, water and soil composite ecology of the forest wetland, a water-soil-carbon cooperative evaluation result is obtained by analyzing specific hydrological-soil carbon cycle key elements of the forest wetland, and environmental disturbance response factors are obtained by combining various environmental disturbance factors. Through multi-source data fusion and intelligent modeling, a carbon sink quantitative evaluation value is output, and abnormal feedback is triggered; the problems that in the prior art, adaptability to a forest wetland compound ecological system is insufficient, evaluation refinement is insufficient, and dynamic response is lacked are solved. According to the method, accurate and dynamic monitoring and evaluation of forest wetland carbon sink are realized, carbon sink short plates can be accurately positioned, optimization support is provided, and technical support is provided for protection, restoration and optimization management of forest wetland carbon sink resources.

The invention relates to the technical field of ecological environment monitoring and intelligent information processing, and discloses an intelligent monitoring method and system for ecological restoration of a small and micro wetland. The method comprises the following steps: synchronously collecting multi-dimensional parameters of water, soil, gas and growth through a multi-source sensor array, and constructing ecological state vectors with time-space alignment; carrying out cross-medium nonlinear coupling modeling by utilizing a graph attention space-time fusion network; predicting key water quality and biological indexes by adopting an LSTM (Long Short Term Memory) and GRU mixed framework; and generating graded early warning and self-adaptive repair suggestions in combination with the three-level health threshold and the rule base. The system comprises a multi-source sensing module, a data preprocessing module, a graph structure construction module, a feature fusion module, a time sequence prediction module and an intelligent decision module. According to the system, global sensing, early warning and intervention of the ecological state of the small and micro wetlands are realized, and the restoration timeliness and scientificity are improved.

The invention relates to a biological and ecological ectopic integrated tail water purification device and method, the device comprises a buffer sedimentation tank at the lower part, an ecological treatment area at the middle part and an aeration tank at the top, tail water at the upper part of the buffer sedimentation tank is conveyed to the aeration tank through a water pump, the bottom is provided with a drain outlet, and the ecological treatment area comprises a benthic organism tank, a microorganism tank and a wetland tank of which the heights are sequentially reduced; the upper part of the wetland pool is not blocked, and tail water flows out from a water outlet of the wetland pool after sequentially passing through the aeration pool, the benthic organism pool, the microorganism pool and the wetland pool. A series of three-dimensional structures such as the vertical flow wetland and the laminated filter tank are adopted, compared with the prior art, the occupied area is greatly reduced, the space utilization rate is increased, and the intensive culture space contradiction is solved.

The invention discloses a multi-source remote sensing reflectivity fusion method based on orthogonal matching pursuit and physical constraint, and the method comprises the steps: taking a multi-source remote sensing image as a data basis, and constructing a multiband sparse dictionary through time sequence alignment and overlapping sampling; then, an orthogonal matching pursuit algorithm introducing physical constraints is utilized to gradually select an image atom which is most matched with a target date in a sparse reconstruction process, and physical consistency of a reconstruction result in the aspects of hydrological conditions, phenological characteristics, spectral reflectivity and the like is ensured; and finally, through residual error return correction, day-by-day seamless 30-meter six-waveband reflectivity reconstruction is realized. According to the method, the stability and the physical interpretability of a reconstruction result are remarkably improved while efficient calculation is kept, continuous, multi-band and high-resolution time sequence data generation can be achieved in complex ecological environments such as lake wetlands, and high-precision remote sensing data support is provided for hydrological process simulation, ecological environment evaluation and carbon cycle research.

The invention provides a wetland ecological restoration effect comprehensive evaluation method and system, and belongs to the technical field of big data analysis. According to the method, real-time data of multi-dimensional ecological elements such as water turbidity, vegetation coverage density and soil acidity and alkalinity are collected, a multi-dimensional element correlation matrix based on time sequence correlation is constructed, and the dynamic change frequency of each element is captured. Core influence factors are screened by quantifying the contribution degree of each element to ecological restoration, weight distribution corresponding to clustered element clusters is determined, and then an accurate quantitative score is generated and mapped into a clear restoration condition level through multiplication and summation of inter-cluster correlation coefficients and weights item by item. Meanwhile, an evolution track is compared and analyzed by combining historical time sequence data, and the weight is dynamically adjusted to ensure that evaluation adapts to an actual repair process. The comprehensive, dynamic and accurate evaluation of the wetland ecological restoration effect is realized, scientific support is provided for the accurate adjustment of the restoration strategy, and the fine management of the wetland and the sustainable development of the natural environment are guaranteed.

The invention relates to the technical field of remote sensing image processing, in particular to a wetland information extraction method and system based on multi-source remote sensing data fusion, and the method comprises the following steps: obtaining and fusing a wetland optical radar image and water level time sequence data, extracting near-infrared and back-scattering multi-source characteristic parameters to discriminate water body pixels, and extracting a water body image; and carrying out statistics on spatial connectivity aggregation to generate a water body plaque boundary, calculating an area perimeter and shape index comprehensive model to classify wetland types, and adjusting mismatching labels in combination with vegetation coverage and soil moisture to form a wetland information extraction result map. According to the method, the water body differential expression is enhanced through combined reflection and scattering characteristics, the water body and peripheral differential expression is enhanced through combined reflection and scattering characterization, boundary transition aliasing is restrained through bidirectional threshold constraint, plaque space integrity is restored and maintained through connectivity analysis, and type classification sensitivity is enhanced through morphological parameter combination. And the wetland expression accuracy and the type stability are improved through ecological attribute consistency correction.

The invention relates to the technical field of computer vision and image processing, in particular to a forest wetland environment transition zone identification method and system for an unmanned aerial vehicle. The method comprises the steps of obtaining various prior data layers of a detection area and fluctuation scales corresponding to the prior data layers, taking the fluctuation scales as weights, obtaining similarity degrees between area boundaries of different prior data layers, and identifying similar boundary groups based on the similarity degrees; obtaining the environment fusion degree of the similar boundary groups; and based on the environment fusion degree, identifying an environment transition zone and an unmanned aerial vehicle flight focus region. By fusing prior data layers of DEM, hydrology, vegetation and the like, analyzing boundary similarity according to a fluctuation scale and identifying an environment fusion area, an environment transition zone and an unmanned aerial vehicle key monitoring area are further determined, targeted monitoring and identification of a key interface of a complex ecological crisscross zone are realized, the precision and efficiency of complex environment monitoring are effectively improved, and the method is suitable for popularization and application. And meanwhile, terrain and water area flight risks are avoided.

The invention belongs to ecological environment engineering, and particularly relates to a river and lake wetland zoning and classifying ecological water demand fine accounting method, which comprises the following steps of S1, performing zoning and classifying on a river and lake wetland of a research area; s2, establishing a space-time coupling hydrodynamic model based on a partition classification relationship; s3, constructing a multi-factor ecological response model, and calculating an ecological suitability index of each partition; s4, establishing a multi-objective optimization model, and performing optimization solution on the ecological water demand of the partition by combining ecological benefits, water balance and process smoothness objectives; and S5, performing robust correction on an optimization result by adopting an uncertainty analysis method to obtain a final ecological water demand distribution result. By establishing a river and lake wetland partition classification spatial database based on digital elevation, river network distribution, land utilization and ecological attribute information, fine description and dynamic association of different ecological functional areas are realized, and the effects of ecological process differentiation characterization and remarkable improvement of water demand accounting precision are obtained.

The invention discloses a control method and system for a midspace wetland simulation system, and belongs to the technical field of wetland simulation and control, and the method comprises the steps: determining preset parameters according to experimental requirements, starting the system, and collecting and preprocessing environmental parameters in real time through a sensor network; establishing a wetland ecosystem dynamic model by fusing machine learning algorithms such as LSTM, Transform and a graph neural network, and predicting an environment change trend; an optimal control strategy is generated in combination with a reinforcement learning algorithm, and parameters of an environment control module are adjusted in real time; the big data analysis technology is used for mining data rules, and system preset parameters are automatically optimized. Meanwhile, a physical model is introduced to calculate a theoretical value to correct a prediction model error, and through space-time fusion modeling, reinforcement learning decision and big data driven optimization, the control problems of multi-factor coupling and strong dynamic nature in wetland simulation are solved, and the environmental change prediction precision and the control strategy optimality are remarkably improved.

The invention discloses a coastal wetland blue carbon reserve measurement method based on habitat perception and missing codes. The method comprises the following steps: obtaining habitat category labels and micrometeorological parameters of a target area; generating a sensor scheduling instruction and a scheduling state code according to the habitat category label and the micrometeorological parameter; active compensation is executed according to the pod attitude change, and a data confidence mark is generated; constructing feature vectors of the grid units; constructing a structural deficiency indication code, jointly inputting the structural deficiency indication code and the feature vector into an inversion model, and outputting a blue carbon reserve prediction value of the target area and a corresponding uncertainty index; when the uncertainty index exceeds a preset threshold value, a recovery strategy is generated, and subsequent flight planning parameters are dynamically corrected; and after the recovery data is updated, repeatedly executing the processes of feature construction, inversion and uncertainty evaluation until the global uncertainty meets a preset requirement. According to the method and the system, the stability and the reliability of a blue carbon reserve space inversion result in a complex coastal wetland environment are improved.

The invention discloses a multi-element participation and dynamic optimization national park carbon sink function management system, method, equipment and medium, and belongs to the technical field of ecological system carbon sink monitoring and management, and the system comprises a carbon sink sensing module which is used for collecting carbon sink data of ecological systems such as forests and wetlands in real time; the multi-source data integration module is used for fusing remote sensing images, meteorological parameters and manual patrol data; the analysis and optimization module is used for dynamically evaluating the carbon sink capacity based on a model algorithm and providing management optimization suggestions; the collaborative participation module is used for realizing a co-construction and sharing mechanism of researchers, managers and the public; and the feedback and early warning module is used for giving out early warning for abnormal change of the carbon sink function and feeding back the early warning to the management terminal. According to the invention, full-process dynamic monitoring and scientific management of the national park carbon sink function are realized, the real-time performance, precision and governance collaboration of carbon sink capability assessment are improved, and an eco-friendly, scientific and efficient public-participated carbon sink function management platform is constructed.

The invention relates to the field of water quality detection, in particular to a water quality sampling detection method and device applied to a small and micro wetland unit. The method comprises the following steps: determining a turbidity coefficient according to scattered light intensity of a target water sample under different wavelengths, absorbance of a target interval in an ultraviolet absorption spectrum and fluorescence intensity of a target area in a fluorescence spectrum; determining a scattering equivalent absorption value of each wavelength according to the scattered light intensity of the target water sample under each wavelength, the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the turbidity coefficient; determining a real ultraviolet absorption signal of each wavelength according to the absorbance corresponding to each wavelength in the ultraviolet absorption spectrum and the scattering equivalent absorption value of the wavelength; correcting the fluorescence spectrum according to the turbidity coefficient and the scattering equivalent absorption value of each wavelength to obtain a corrected fluorescence spectrum; and detecting the water quality according to the corrected fluorescence spectrum and the real ultraviolet absorption signal of each wavelength. According to the invention, accurate water quality sampling detection can be provided.

The invention provides a simulation design method of an urban ecological corridor, which comprises the following steps: S1, collecting a multi-temporal thermal infrared remote sensing image of a city to be simulated and designed and preprocessing to obtain a core heat island node; s2, heat resistance surface construction is carried out based on different surface types, a heat transfer resistance surface is obtained, and the different surface types comprise a digital elevation model, an impervious surface index, a normalized vegetation index, a normalized building index, a normalized water body index and a gradient; s3, taking the core heat island node as a network end point, searching a communication path with the lowest resistance on a heat transmission resistance surface, and obtaining an urban heat island corridor; and S4, on the basis of the urban land utilization data, ecological lands of forests, wetlands, large parks and water bodies serve as candidate ecological source lands, ecological connection paths are constructed from the angle of ecological connectivity by adopting the S2 and the S3, and the urban ecological corridor is obtained.

The invention relates to the technical field of wetland data monitoring, and discloses a coastal wetland carbon reserve dynamic monitoring method based on time sequence remote sensing, which comprises the following steps: collecting the vegetation condition of a coastal wetland, speculating the carbon reserve of the coastal wetland, judging whether the carbon reserve is abnormal or not, and correspondingly adjusting a detection scheme. According to the coastal wetland carbon reserve dynamic monitoring method based on time sequence remote sensing, multiple methods such as remote sensing monitoring, ground survey and laboratory analysis are comprehensively considered, the comprehensiveness and accuracy of carbon reserve monitoring are ensured, the comparison threshold is dynamically adjusted through two-time judgment in combination with historical data and a verification conclusion, and the carbon reserve monitoring accuracy is improved. The method adapts to carbon reserve change conditions of different sub-regions, forms a systematized monitoring process from region division to overall analysis, can effectively identify abnormal conditions in a target region, improves the reliability of carbon reserve assessment through comparison verification and collection verification, and improves the accuracy of carbon reserve assessment. And reliable data support is provided for subsequent monitoring and management.

The invention proposes a lake comprehensive ecological risk assessment method and system based on multi-source data fusion, and relates to the technical field of ecological risk assessment, and the method comprises the steps: carrying out the sampling of a preset assessment space range of a target lake, and obtaining the multi-source ecological data of the target lake; obtaining a water environment risk value according to historical water quality monitoring data in the multi-source information database; acquiring ecological water level demand data of the target lake according to the historical water level monitoring data, and acquiring a hydrological situation risk value of the target lake; based on remote sensing image data and historical survey monitoring data of the target lake in the multi-source information database, evaluating lakeside vegetation condition, wetland area, blue-green algae coverage area and benthonic animal monitoring data respectively to obtain a water ecology risk value; and performing weight distribution operation on the water environment risk value, the hydrological situation risk value and the water ecology risk value to obtain a comprehensive ecology risk assessment index corresponding to the target lake. The method is beneficial to the accuracy and systematicness of ecological risk assessment.

The cage comprises a main body frame module which is composed of 80 * 80 * 6 mm galvanized square tube main beams arranged at intervals of 3 m along an arc line and 299 * 10 mm seamless steel tube core bearing columns, the underground burial depth is 6 m, and the overground height is 6.3 m; the safety protection module comprises a vertical face double-layer composite net composed of an inner layer 20 * 20 mm mesh polyethylene net and an outer layer 20 * 20 * 3 mm white steel protection net, and a top net pulled and reinforced by steel wire ropes. In the core function area, a tidal creek is reserved; the intelligent management module comprises a dome camera and a time control LED lamp; the underground foundation module is of a reinforced concrete pipe and gravel filling structure. The main body frame is matched with the underground foundation to form a high-strength support matched with the wetland, the height on the ground is 6.3 m, the physiological characteristics of the red-top crane are accurately matched, and take-off and escape are completely eradicated; the double-layer composite net realizes double protection of collision injury prevention and natural enemy prevention; retaining a tidal creek to guide autonomous foraging; and manual intervention is reduced through intelligent monitoring and illumination simulation.

This invention relates to the technical field of wastewater treatment, and in particular to a method, apparatus, equipment, and medium for controlling clogging in wastewater wetlands. The method includes performing time-series correlation processing based on clogging characterization information to obtain a clogging evolution sequence corresponding to each filter layer; performing clogging prediction processing based on the clogging evolution sequence to obtain a target filter layer and its corresponding clogging prediction result information; performing strategy matching processing based on the target filter layer and the clogging prediction result information to obtain adaptive control strategy information; performing target filter path adjustment processing or target filter layer recovery processing based on the adaptive control strategy information; obtaining feedback monitoring information after the target filter path adjustment processing or target filter layer recovery processing; and correcting the clogging prediction result information based on the feedback monitoring information to obtain updated adaptive control strategy information. This invention improves the targeting of filter layer clogging identification and the adaptability of the control process.

This invention provides a Bayesian-based method and apparatus for spatial trade-off and synergistic optimization of ecosystem services, relating to the fields of ecology and statistics. The invention acquires an ecological spatial database of a target area, uses ArcGIS software's netting and clipping tools to generate a grid layer of a specified size for the target area, obtaining a pixel set. Based on the ecological spatial database and pixel set, the blue carbon storage, biodiversity maintenance capacity, and coastal protection capacity of the target area are calculated, representing three ecosystem services. Furthermore, the coupling coordination degree is obtained to analyze the overall coordination level among ecosystem services. A Bayesian-based ecosystem service synergy prediction model is constructed using Netica software to identify key driving factors and output the probability distribution of corresponding nodes, simulating and analyzing potential synergistic impacts under different scenarios. This invention can accurately identify and clarify the trade-off and synergistic relationships of key ecosystem services such as coastal wetlands, achieving synergistic spatial optimization of ecosystem services.

This invention relates to the field of wetland ecological regulation technology, specifically a method for optimizing the ecological restoration of small wetlands based on multimodal data. The method includes: collecting multimodal monitoring information such as remote sensing image sequences, time-series data of physical and chemical parameters, and ecological sample data of the target area; constructing a dynamic three-dimensional ecological field; assimilating and fusing multi-source data using a spatial grid as a basis to form a comprehensive ecological state attribute value with timestamps; utilizing an improved ecological cellular automata algorithm, combined with an ecological restoration intervention library and the attribute differences of adjacent grids, completing the synchronous evolution calculation of the ecological state of the entire grid, and generating a spatialized ecological evolution field; selecting spatially connected stable grid clusters and implementing connectivity enhancement and structural optimization; and outputting restoration layout, implementation timeline, and engineering quantity configuration content that matches site conditions. This method achieves spatiotemporal integration of multi-source heterogeneous ecological data, refines the accuracy of regional ecological evolution prediction, and enhances the ability to regulate the spatial structure of wetlands.

The invention discloses a wetland remote sensing data cross-domain classification method based on neural network adversarial learning, and belongs to the technical field of image processing, and the method comprises the following steps: S1, collecting cross-domain wetland remote sensing data, extracting spatial features and spectral features through a spatial-spectral feature extraction network, and processing the spatial features and the spectral features to obtain final features; s2, completing domain-level distribution alignment; s3, class level distribution alignment is completed; and S4, outputting a prediction result. According to the method, the adaptive optimization multi-classifier is designed, the adaptive optimization multi-classifier comprises two high-density classifiers and one low-density classifier, prediction is carried out by using the low-density classifier instead of using the high-density classifiers during prediction, and thus the prediction precision of the model in the target domain can be further improved.

The application provides a system and method for improving proliferation and release effect and nearshore ecological connectivity, the system comprising: a high-density seedling cultivation area for cultivating seedlings and discharging tail water; an ecological rice field area for introducing received tail water into a rice field and discharging purified tail water; an ecological conservation area for receiving purified tail water, regulating water level by setting an intelligent dam body, and temporarily storing and conserving the purified water; and an off-dike wetland area connected with the ecological conservation area, for providing an adaptation and transition place for seedlings before release. The application realizes water quality recycling, ecological purification and seedling adaptation and release in stages by constructing a proliferation and release unit system connected with each other, thereby significantly improving seedling survival rate and release effect, and realizing the synergistic gain of ecology and economy.

This invention discloses a comprehensive assessment method and system for wetland ecological quality based on multi-indicator fusion, belonging to the field of wetland ecological protection technology. The method includes acquiring water environment index data, biodiversity index data, carbon storage index data, and remote sensing images of wetland edges; establishing a multi-indicator fusion model based on the water environment index data, biodiversity index data, and carbon storage index data to generate a basic wetland ecological quality index; generating a predicted value of the basic wetland ecological quality index based on the basic wetland ecological quality index; and generating a comprehensive wetland ecological quality index based on the remote sensing images of wetland edges and the predicted value of the basic wetland ecological quality index, and assessing the wetland ecological quality. This invention can integrate multi-dimensional ecological indicators such as water environment, biodiversity, and carbon sink function, achieving dynamic prediction of wetland ecological quality and quantitative assessment of the impact of external pressures, thus improving the comprehensiveness and foresight of the assessment results.

The invention discloses a domestic sewage ecological recycling device based on soil infiltration, and relates to the technical field of sewage recycling, a recycling transfer box for transferring sewage is mounted in a small wetland box, and an upper lifting plate for controlling the height of an infiltration level control plate is mounted on the outer side of the small wetland box; the sewage treatment device has the advantages that sewage is purified through soil, microorganisms and the like in the small wetland box, so that the effluent quality reaches a relatively high standard, the infiltration layer control plate can be driven to move up and down by operating the lifting plate on the outer side of the small wetland box, the infiltration layer control plate can be driven to move up and down, and the water quality is improved. Sewage can be distributed to different soil layers according to needs, the fertile degree of soil is improved, after the percolation layer control plate is adjusted to the target height, the layer fixing plate can ensure that the percolation layer control plate is stabilized at the set height, the percolation layer control plate can be guided to the designated soil layer according to needs, and recycling of water resources is achieved.

This invention provides a composite ecological restoration system and method for agricultural non-point source pollution in lakes. The system includes several pre-treatment reservoirs located at the lake's edge, each including a sedimentation zone, a shallow water purification zone, and a deep water purification zone; several water quality improvement wetlands adjacent to the pre-treatment reservoirs; several ecological interception ditches located at the entry points of agricultural non-point source pollution into the lake; a shoreline ecological interception zone surrounding the lake and located along its shoreline; an ecological enclosure adjacent to the water quality improvement wetlands, within which a submerged plant restoration zone is arranged; several submerged plant restoration zones are located inside the ecological enclosure; and ecological floating islands are evenly distributed within the lake. This invention can effectively address the complex and variable nature of lake non-point source pollution, improve the treatment effect of lake non-point source pollution, and achieve the goal of treating different types of lakes.

The invention discloses a renewable energy driven coupling heat and power cogeneration system and an operation method thereof. Geothermal water resources are utilized in a gradient mode according to a temperature interval, and hot water exploited from a geothermal well is filtered and then drives an organic Rankine cycle system to generate power; geothermal water subjected to heat exchange through the evaporator is used for resident heating, heating return water preheats an organic working medium through a preheater of the organic Rankine cycle system, and therefore the power generation efficiency of the system is improved. Geothermal water passes through the preheater and then enters a floor heating pipeline to be used for floor heating heat supply of residents. The maximum circulation heat efficiency and efficiency of the two organic Rankine cycles can be achieved through circulation organic working medium screening and operation parameter optimization; through combination of power generation and heating, the comprehensive utilization efficiency of system energy is improved; and meanwhile, in combination with heat using scenes such as a constant-temperature swimming pool and wetland restoration, waste heat resources of floor heating return water and hot water at an outlet of the condenser are recycled, and maximum waste heat recovery of the system is achieved.

This utility model relates to the field of wetland treatment and discloses a flocculation and sedimentation device for wetland treatment, including a flocculation box. A water inlet is fixedly connected to the left side of the top of the flocculation box, and a dosing tank is fixedly installed on the right side of the top of the flocculation box. A delivery pipe is fixedly connected to the bottom of the dosing tank. A protective cover is fixedly connected to the middle position of the top of the flocculation box. A first motor is fixedly installed on the right side of the top of the protective cover, and a second motor is fixedly installed on the left side of the top of the protective cover. This flocculation and sedimentation device for wetland treatment drives a first stirring shaft and a second stirring shaft to rotate via the first and second motors, respectively. The first stirring blades on the outside of the first stirring shaft are located near the bottom of the box. Slow and uniform stirring during mixing prevents the flocs from being broken up. The second motor drives the second stirring shaft to rotate rapidly, improving the mixing efficiency of the flocculant and wastewater. This structure improves flocculation efficiency through segmented stirring and solves the problem of inconvenient segmented stirring.

The utility model provides a centralized slurry station applied to a plateau wetland protection area, which is characterized in that the middle of a slurry pool is divided into a slurry making tank and a slurry storage tank through a partition plate, and a slurry feeding device is arranged in the slurry storage tank and extends to a grouting and slurry returning platform through a slurry feeding pipeline; the slurry returning device is arranged on the pouring slurry returning platform and extends to the slurry pool through a slurry returning pipeline, and a sand filtering groove correspondingly communicating with the slurry returning pipeline and the slurry storage groove is formed in the outer side of the slurry pool. The slurry station provided by the utility model is small in construction site occupation and small in disturbance to the surrounding environment, the whole working environment forms a closed cycle, a waste discharge mode is dry material and green construction, the slurry can be recycled in the construction process, the construction investment is small, and the whole slurry station is simple to construct, low in manufacturing cost, easy to construct and operate and remarkable in environmental protection effect.

The invention discloses a sewage plant tail water treatment system and method, and relates to the technical field of sewage treatment.The sewage plant tail water treatment system is applied to tail water generated by a sewage plant adopting an ozone advanced oxidation technology, and the treatment system comprises an activated carbon reaction device, a denitrification reaction device, an ecological pond and a horizontal subsurface flow wetland; the activated carbon reaction device is communicated with the tail water pipe and comprises an activated carbon filtering layer, and the activated carbon filtering layer is used for adsorbing chemical oxygen demand and dissolved oxygen in tail water; the denitrification reaction device is communicated with the activated carbon reaction device and comprises a denitrification filter material layer, and the denitrification filter material layer is used for autotrophic denitrification nitrogen removal of tail water; the ecological pond is communicated with the denitrification reaction device and comprises aquatic plants and aquatic animals; the horizontal subsurface flow wetland is communicated with the ecological pond and is used for deeply filtering the tail water. The treatment system can improve the purification effect of the tail water of the sewage plant.

The invention discloses a degraded wetland near-natural restoration method and system based on hydrological process regulation and control, relates to the technical field of wetland ecological restoration, and provides the following scheme: the method comprises the following steps: S1, investigating and accurately diagnosing the current situation of a degraded wetland; s2, constructing and implementing a hydrological process dynamic regulation and control system; s3, implementing collaborative remediation measures; s4, performing dynamic monitoring and feedback optimization; and S5, later maintenance and long-term maintenance. According to the method, hydrological process systematic regulation and control are taken as a core, a near-natural restoration concept is fused, wetland multi-element collaborative restoration is realized, regulation and control accuracy is guaranteed through a dynamic monitoring closed-loop mechanism, manual excessive intervention in the whole process is reduced, the problems that traditional natural restoration is low in efficiency and poor in manual restoration stability are solved, and the artificial restoration efficiency is improved. And the restored wetland forms a sustainable near-natural ecological system, so that the restoration effect and the long-term effect of the degraded wetland are greatly improved, and the method is suitable for wetland restoration scenes with different types and different degradation degrees.