2911 results about "Water sample" patented technology

The invention relates to the technical field of water pollution detection, in particular to a water quality pollution multi-dimensional analysis system which comprises the following steps: synchronously measuring an ultraviolet-visible absorption spectrum of a water sample to be detected and scattered light intensity in an orthogonal direction, and deducting spectrum baseline interference caused by suspended particulate matters in the water sample through a correction algorithm; the interferents in the water sample are selectively converted and degraded by applying a programmed potential to the inflowing water sample to be detected; the reverse pulse is periodically applied, so that the online regeneration function of the electrode is realized; analyzing the spectral data by adopting a multivariate correction algorithm, and calculating the concentration of the target pollutant; the calculation residual error of the multivariate correction algorithm is analyzed, new interference and system performance drift of current measurement are diagnosed, and a corresponding system state code is generated; and responding to the system state code, automatically starting and carrying out state checking and multi-point calibration on the instrument, and using a calibration result to update the analysis model. Through multi-dimensional perception and closed-loop operation, accuracy and reliability of water quality monitoring are guaranteed.

The invention provides a river pollutant traceability method and a river pollutant traceability system. The method comprises the following steps: constructing a potential pollution source feature fingerprint database fused with an LSTM time sequence feature extraction model, carrying out abnormal water quality fingerprint identification on a monitored river reach, if identification is abnormal, collecting an upstream water sample, detecting to obtain a water quality fingerprint, comparing the water quality fingerprint with the abnormal water quality fingerprint, determining a target river reach according to a comparison result, and determining the target river reach according to the comparison result. The method comprises the following steps: sampling all enterprises of a target river reach in real time, comparing detection result data with detection result data of an abnormal water sample, determining potential pollution sources according to a comparison result, determining high-matching candidate sources from the potential pollution sources by utilizing an LSTM (Long Short Term Memory) time sequence feature extraction model, carrying out space transition verification on the high-matching candidate sources, and carrying out space transition verification on the high-matching candidate sources. And determining the pollution source according to the verification result. According to the method, the accuracy, efficiency and result reliability of tracing the river pollutants can be effectively improved, and the scenes of multi-source pollution, intermittent emission and the like of complex rivers can be effectively handled.

The invention relates to the technical field of water quality pollution detection, in particular to a water quality pollution rapid detection method driven by a quantum sensing technology. A quantum sensor array is deployed in a water area to be detected, and quantum signal response data of the water area is collected; constructing a pollutant quantum recognition model, and inputting quantum signal response data into the model to obtain an initial predicted value of pollutant concentration; generating an initial detection parameter of the quantum detection instrument based on the initial predicted value, executing primary pollution detection by the instrument according to the parameter, and collecting primary deviation data of an actual detection value and an expected detection value; determining a detection error according to the deviation data, further correcting the initial detection parameter, and generating an optimized detection parameter; and finally, the instrument performs secondary pollution detection based on the optimized detection parameters. According to the method, complex water sample pretreatment is not needed, water quality pollution detection can be rapidly and accurately completed, detection requirements of different water areas are met, and the detection efficiency and accuracy are improved.

The invention relates to the field of water resource quality detection, in particular to a sampling device for water resource quality detection. The invention provides a water resource quality detection sampling device which comprises a sampling barrel, a barrel cover is arranged at an opening of the sampling barrel, clamping seats are symmetrically distributed on one side, close to the barrel cover, of the sampling barrel, clamping pins are arranged in the clamping seats, the barrel cover is locked through cooperation of the clamping pins and the clamping seats, and the sampling barrel is connected with the clamping seats. A plurality of sampling box bodies for containing water samples are vertically arranged in the sampling barrel, a water pump is arranged in the sampling barrel, and a water inlet pipe of the water pump extends to the outer side of the sampling barrel. The stratified sampling box body and the independent flow guide assembly are combined with the servo motor to drive the staggered box cover, so that accurate stratified collection of water samples at different depths is realized, and mixed pollution is avoided; a water flow switching assembly is additionally arranged, a pipeline is automatically flushed after sampling, a residual water sample is discharged into a liquid storage box, cross contamination is reduced, independence and representativeness of the water sample are guaranteed, and detection accuracy is improved.

The invention relates to the technical field of water quality detection, and discloses a water quality detection method and device based on an electrochemical sensor. The method comprises the following steps: deploying a multi-depth electrochemical sensor array in a target water body according to different water depth positions and carrying out real-time monitoring to obtain electrochemical response signal data; performing electrochemical fingerprint feature recognition on the electrochemical response signal data to obtain electrochemical feature vectors of water sample pollutants at different water depth positions; carrying out pollutant analysis through a hierarchical electrochemical transfer-attention network model to obtain types and concentrations of heavy metal ions and organic pollutants in water samples at different water depth positions; and executing Kriging space interpolation and environmental factor correction to generate a three-dimensional pollutant distribution dynamic map of the target water body. According to the method, high-precision identification of low-concentration multi-component coexisting pollutants is realized, and visual analysis of spatial distribution characteristics and migration rules of water pollutants is realized.

The invention particularly relates to a water pollution intelligent traceability system based on a three-dimensional fluorescence spectrum, which relates to the technical field of environmental monitoring, and comprises a water sample collection and three-dimensional fluorescence data acquisition module, a data preprocessing and PARAFAC component decomposition module, a multi-source pollution characteristic fingerprint database module and an intelligent comparison and pollution source analysis module. According to the method, standard acquisition and preprocessing are adopted, and the original data quality is ensured by means of scattering rejection, instrument correction and the like; pure fluorescence components are decomposed through a PARAFAC algorithm, and feature extraction reliability is guaranteed through triple verification. In the comparison link, spectrum similarity, concentration proportion difference and space-time hydrological constraint multi-round screening are adopted, and irrelevant pollution sources are removed; and then the contribution proportion is quantified, and Monte Carlo simulation, water quality and specific pollutant cross validation are carried out, so that the crossing from suspected tracing to quantitative responsibility investigation is realized.

The invention discloses a flocculation treatment device and method for removing high turbidity of a water sample. The method comprises the following steps: monitoring an inflow turbidity parameter in real time, continuously collecting original optical characteristic data of water through an optical sensor array, and calculating a turbidity fluctuation rate parameter after noise reduction treatment; carrying out graded rotational flow mixing treatment, forming a pressure gradient through three stages of tapered rotational flow pipes in sequence, activating an ultrasonic frequency field, and synchronously adding main and auxiliary flocculants; the method comprises the following steps: introducing a water sample into a multi-stage gradient flocculation reaction zone, and sequentially executing turbulent flow enhanced flocculation, slow stirring flocculation and pulsed electric field assisted flocculation to form a floc structure with different particle size distribution; running parameters of a sedimentation module are adjusted according to real-time effluent turbidity feedback, and the inclination angle of an inclined plate assembly and the opening degree of a mud discharging valve are dynamically adjusted; a parameter set is updated through a prediction model based on periodically collected system operation data, a closed-loop optimization control strategy is formed, the adaptability to extreme turbidity is enhanced, the solid-liquid separation efficiency is improved, the overall energy consumption is reduced, and the efficient and stable requirements of emergency treatment are met.

The invention discloses a water quality detection and evaluation method and system for environmental engineering, and relates to the technical field of environmental engineering. The method comprises the following steps: collecting and detecting an environmental engineering target water sample to obtain concentration data of various pollutants; constructing a pollutant collaborative influence matrix, calculating a collaborative index of the influence of each pollutant on the overall water quality, and generating a comprehensive pollution collaborative score; obtaining a water body function type of the target water sample, performing water body function matching judgment on the target water sample, and outputting a function adaptability grade; collecting a pollutant concentration change sequence in a historical period of time, and performing time sequence analysis on the concentration of each pollutant to obtain a predicted pollution trend; and dynamically adjusting the comprehensive pollution collaborative score and the functional adaptability grade to obtain a dynamic standard evaluation result of the target water sample. According to the method, comprehensive dynamic evaluation on the pollution status, functional adaptability and future trend of the target water sample is realized, and the scientificity and timeliness of water quality evaluation are remarkably improved.

The present invention discloses a three-dimensional fluorescence portable water quality analyzer for pollution component determination and source tracing, and relates to the technical field of water quality analysis, the analyzer comprises the following components: a sample collection and processing module for collecting a water sample from a to-be-detected water body, filtering to remove impurities, and diluting the water sample according to a self-adaptive dilution multiple algorithm; fluorescence intensity information of a water sample under different excitation wavelengths and emission wavelengths is obtained through the three-dimensional fluorescence detection module, rich three-dimensional fluorescence spectrum data is formed, the real-time fluorescence lifetime imaging module is introduced, and by measuring the fluorescence lifetime of a fluorescent substance and utilizing the principle that different fluorescent substances have different fluorescence lifetime characteristics, the real-time fluorescence lifetime of the water sample is obtained. Various pollution components in the water sample are further distinguished and recognized, the pollution components can be accurately distinguished through fluorescence lifetime measurement and imaging, the accuracy of pollution component judgment is greatly improved, and a reliable basis is provided for accurate treatment of water quality pollution.

The invention discloses a method for evaluating enhancement and release seedling resources based on environmental DNA polymerization analysis. The method comprises the following steps: carrying out gridding partition on a target water area, collecting a water sample through a designed sampling scheme, and carrying out DNA extraction and high-throughput sequencing to obtain species sequence information of each sampling point. Sequencing data is subjected to species identification by using a bioinformatics method, released species are identified, a spatial abundance model is established, and a preliminary distribution map is generated. And establishing a DNA degradation kinetic model in combination with water area environmental parameters, and carrying out reverse correction on abundance distribution. And through a resource inversion model coupled with hydrodynamics, analyzing biomass distribution characteristics and migration laws of the release group, and obtaining a resource evaluation result. And finally, a species environment preference model is constructed based on migration path analysis, an optimal release area is matched in a target water area, a scientific scheme including release point locations, opportunities and quantity is generated, and a whole-process technical support and a decision basis are provided for enhancement and release.

The invention relates to the technical field of electronics, and discloses a drainage pipe network pollutant tracing method, device and equipment, a medium and a program product. According to the method, the map similarity between a first three-dimensional fluorescence spectrum map corresponding to a first water sample of a target node and a second three-dimensional fluorescence spectrum map corresponding to each upstream pipe network node is calculated; and determining at least one target upstream pipe network node in the plurality of upstream pipe network nodes based on the map similarity, and determining pollution source information of abnormal water in a target node according to first water quality data of the target upstream pipe network node and second water quality data on a sewage flowing path between the target upstream pipe network node and the target node, the advantages of high sensitivity, rapid detection and the like of the three-dimensional fluorescence spectrum technology are utilized in the pollutant traceability process, and efficient and accurate traceability of pipe network pollutants is achieved.

The invention relates to the technical field of liquid-liquid homogeneous microextraction, in particular to a method for microextraction analysis of perfluorooctanoic acid by using a switchable eutectic solvent. Comprising the following steps: step 1, mixing a hydrogen bond acceptor and a hydrogen bond donor according to a set proportion value, and stirring and mixing at a set temperature value to obtain a eutectic solvent; step 2, filtering the water sample through a water-based filter membrane, then adding a set amount of deep eutectic solvent, dropwise adding an alkaline solution, carrying out full vortex mixing through a mixer, and then adding an acidic solution to form an emulsion; according to the method, the high selectivity of the green solvent with a specific structure on perfluorooctanoic acid and the characteristic that the solvent is switched between hydrophilic and hydrophobic forms are utilized, so that the microextraction time is shortened, and the impurity removal and enrichment effects are enhanced. The method is simple and convenient to operate, green, environment-friendly, low in cost and good in effect, has the advantage of efficiently and rapidly pretreating the batch small-size complex matrix sample, and has a relatively good application prospect.

The invention discloses a water sample pollution traceability analysis method fusing absorption-three-dimensional fluorescence spectrum characteristics, and relates to the field of water sample spectrum analysis traceability. According to the method, high-precision prediction of pollutant indexes is realized by utilizing multi-dimensional information of a three-dimensional fluorescence spectrum and an absorption spectrum of a water sample, qualitative and quantitative traceability of main pollution components and potential emission sources in a water body is carried out based on correlation analysis of the prediction indexes, a pollutant feature library and an emission source database, and the method has the advantages of high accuracy and high accuracy. The integration of water quality monitoring and pollution source management is realized, and a systematic and real-time technical means is provided for pollution analysis of a complex water body.

The invention relates to the technical field of multi-water quality analysis, in particular to a full-automatic water quality COD analysis method and device.The method comprises the steps that an absorbance spectrogram and electrochemical characteristics of a target water sample in a first preset wave band are obtained, and an original signal set is generated; obtaining dynamic characteristics of fusion liquid of the target water sample and the potassium dichromate solution in a second preset wave band, and performing characteristic level fusion on the dynamic characteristics and the original signal set to generate a reaction characteristic set; manifold learning and feature optimization processing are carried out on the reaction feature set, and an optimized feature set is generated; performing hybrid neural network modeling processing according to the optimized feature set, and outputting a preliminary COD predicted value; and after the preliminary COD predicted value is corrected, a correction result is verified, and a COD analysis set is generated. According to the invention, multi-source signal data can be efficiently integrated and deeply optimized, and the defects of low analysis efficiency and accuracy caused by insufficient data processing capability in complex water sample analysis in the prior art are overcome.

The present invention belongs to the technical field of groundwater sampling, and in particular to a groundwater sampling device. In view of the technical problem that, during existing manual groundwater sampling, groundwater is completely exposed to the air, and the water sample is easily polluted by the environment or wind, resulting in inaccurate water sample results, the following solution is proposed, which includes a sampling part, a sample storage part and a control part. The present invention directly samples the water sample in a tube body and directly stores the water sample to obtain a sample, which can avoid the accidental secondary contamination of the water sample during manual operation and ensure the accuracy of the sample detection parameters.

The invention relates to the technical field of water body environment detection, in particular to water quality detection equipment and a using method, and the water quality detection equipment comprises a water body sampling module which is provided with a water quality sampling pipeline, is configured with a self-adaptive sampling frequency adjusting strategy and is used for adjusting the collection frequency of a water sample to be detected conveyed to the water quality detection module; the water sample storage module is provided with a water quality detection cavity, a detection probe and a detection cavity anti-clogging module and is used for carrying out anti-clogging treatment on a water sample flowing path in the detection cavity; the probe self-cleaning module is correspondingly connected with the detection probe, is provided with a cleaning triggering strategy and is used for automatically cleaning the surface of the detection probe; the water quality detection module is connected with the detection probe and is used for receiving a detection signal of the detection probe and analyzing to obtain water quality parameters. The method has the effect of improving the continuity and authenticity of data detection during water quality detection.

The invention relates to the field of environmental monitoring, and particularly discloses a non-negative matrix factorization and adaptive peak recognition fluorescence feature extraction and traceability system, which comprises a spectral data preprocessing module, a spectral data non-negative matrix factorization module, a component number automatic selection module, an adaptive peak recognition module, a feature library construction module and a similarity comparison module. An improved non-negative matrix factorization model is adopted to decompose the three-dimensional fluorescence spectrum matrix of a single sample, and an optimal component number K is automatically determined through multiplicative update rule iterative optimization; the self-adaptive peak identification module carries out selective filtering, accurately extracts the position and intensity of a fluorescence peak through multiple mechanisms, and carries out peak position calibration in a neighborhood; the Hungary algorithm is adopted to carry out characteristic peak matching to calculate the comprehensive similarity between the samples, and rapid and accurate identification of the pollution source is realized. The method has the advantages of high resolution, strong anti-interference capability, low requirement on the number of samples, automation and the like, and is suitable for water quality fingerprint feature extraction of a water sample in a complex environment and real-time source tracing of sewage.

The invention discloses a sailing type automatic sampling, preprocessing and sample reserving system. The system depends on a first three-way valve, a second three-way valve, a sampling pump, a third three-way valve, a fourth three-way valve, a filtering module, a fifth three-way valve, a sixth three-way valve and a sampling cup which are sequentially communicated and connected through a flow path; the first three-way valve is in flow path connection with the water sample cup and the waste liquid cup; the second three-way valve is additionally communicated with a sampling bottle; the third three-way valve is additionally communicated with a sample reserving bottle; switching channels and / or opening channels of the three-way valves are / is controlled by the control center, and meanwhile, a sample reserving channel, a sampling and preprocessing channel and a sampling channel are realized; and implementing a first backwash flow path and a second backwash flow path. According to the technical scheme, through unified control of the central control system, the functions of automatic sampling, automatic sample reserving, filtering treatment, filtrate collection, linkage detection of an analyzer, automatic waste discharge of filtrate and water samples not exceeding the standard and the like of seawater are achieved, and reliable technical support is provided for marine ecological civilization construction and disaster early warning.

The invention relates to the technical field of garden water monitoring, in particular to garden water quality intelligent monitoring equipment which comprises a base, a round basin and the like. A round basin is fixedly connected to the base, and a pull ring is installed on the round basin. By releasing the water outlet pipe and under the gravity action of the counterweight ball, the water pipe vertically moves downwards, then negative pressure is generated in the water pipe, a water sample is extracted through the filtering ball head, impurities in a water area are filtered through the filtering ball head, and therefore the water sample flows along the water pipe, the round pipe, the guide pipe, the water pump and the conveying pipe; and finally, the water flows into the water collecting barrel through the conveying pipe, the extracted water sample is carried by the baffle plate and the flow deflector I together, the monitoring probe is submerged by the water, and then the monitoring probe is controlled to start to operate to detect the water sample, so that the water body in the garden is monitored, and the mode is short in period and high in efficiency, and can meet the real-time requirement.

The invention discloses a micro-reagent ammonia nitrogen on-line continuous analyzer and an analysis method, and belongs to the technical field of water quality ammonia nitrogen monitoring, the micro-reagent ammonia nitrogen on-line continuous analyzer comprises a first injection pump, a second injection pump, a multi-channel valve, a liquid storage ring and a reaction tank; liquid outlets of the first injection pump and the second injection pump are respectively connected with one end of the liquid storage ring and a circulating port of the reaction tank through different channels of the multi-channel valve; a circulating port of the reaction tank is connected with a first peristaltic pump; the other end of the liquid storage ring is connected with a second peristaltic pump; liquid outlets of the first injection pump and the second injection pump are connected with a third peristaltic pump; a first reagent and a second reagent for ammonia nitrogen analysis are respectively stored in the first injection pump and the second injection pump; different channels of the multi-channel valve are respectively connected with a standard sample and a water sample which are used for ammonia nitrogen analysis, and cleaning water. The micro-reagent ammonia nitrogen on-line continuous analyzer provided by the invention can reduce cross contamination of reagents, reduce reagent consumption and realize short-interval continuous analysis.

The invention provides an underground water environment monitoring system and method, and the method comprises the steps: carrying out the three-dimensional fluorescence spectrum full-wave band scanning of a known type of pollution source reference sample in a target monitoring region, and obtaining a three-dimensional fluorescence spectrum data set; performing characteristic analysis on the three-dimensional fluorescence spectrum data set to obtain fluorescence characteristic components, and determining a characteristic excitation wavelength corresponding to each fluorescence characteristic component; the classification contribution degree of each characteristic excitation wavelength is evaluated, and a characteristic excitation wavelength combination during source tracing of the pollution source is obtained through screening; performing fixed wavelength scanning on the to-be-detected underground water sample in the target monitoring area according to the characteristic excitation wavelength combination, and determining the initial type of the pollution source; and determining the relative contribution degree of the type of the pollution source of the to-be-detected underground water sample, simulating the migration trend of the pollution plume according to the underground water migration and diffusion model, and generating the position of the pollution source of the to-be-detected underground water sample. By adopting the scheme of the application, the pollution source of the underground water can be quickly identified and positioned at low cost.

The invention discloses a detection system of an absorption spectrum water quality multi-parameter analyzer, and relates to the field of water quality detection. Comprising a water sample acquisition and self-adaptive preprocessing module, a full-spectrum dynamic acquisition and waveband optimization module, a multi-dimensional data fusion processing module, a dynamic evolutionary model training and optimization module, an intelligent pollution traceability and parameter inversion module and a real-time decision and early warning response module. According to the detection system of the absorption spectrum water quality multi-parameter analyzer, through multi-dimensional data fusion, a dynamic evolution model and a spectrum fingerprint traceability technology, the pollutant concentration can be accurately inverted, the pollution source can be rapidly positioned, and the diffusion trend is predicted in combination with hydrological-meteorological data; graded early warning and customized disposal suggestions are synchronously generated, and the environmental protection supervision platform and the treatment terminal are linked through the Internet of Things, so that closed-loop response of detection, source tracing, early warning and disposal is realized.

The invention relates to the technical field of industrial wastewater sampling and discloses an industrial wastewater sampling system.The industrial wastewater sampling system comprises a frame, a connecting frame, a hydraulic cylinder and a rectangular plate, the connecting frame is located in the frame and slidably arranged in parallel, and the bottom of the hydraulic cylinder and the right side of the interior of the connecting frame are fixedly mounted; the upper surface of the rectangular plate and one end of an output shaft of a hydraulic cylinder are fixedly mounted, and a trigger sampling mechanism is arranged in the rectangular plate. According to the industrial wastewater sampling system, when a trigger rod is in contact with the bottom of a canal, a connecting spring and a telescopic rod in a power rebound mechanism are compressed, a third rack is driven to move upwards, a valve switch control mechanism is linked, a first butterfly valve and a second butterfly valve are synchronously closed, and a sampling barrel is sealed; it is ensured that the water sample is captured at the moment when the sampler is stabilized at the target depth and bottom mud is not stirred, and therefore index distortion of suspended solids and adsorptive heavy metal is effectively avoided, and the authenticity of the sample and the accuracy of detection data are improved.

The invention belongs to the technical field of water pollutant identification, and particularly relates to a water pollutant distinguishing method and system based on multi-source spectrum fusion. According to the method, ultraviolet visible spectrum data and three-dimensional fluorescence spectrum data are effectively integrated in a multi-source spectrum data fusion mode, so that the characteristic information of water pollutants is captured, stably appearing characteristic absorption wavebands can be positioned by utilizing the ultraviolet visible spectrum data, and the water pollutants can be accurately detected. The method comprises the following steps: identifying a characteristic sub-region capable of representing the fluorescence response characteristic of a pollutant through three-dimensional fluorescence spectrum data, in a characteristic extraction stage, performing first-order derivative operation on an ultraviolet visible spectrum to position an absorption peak position, calculating curvature distribution of a three-dimensional fluorescence spectrum to identify the characteristic sub-region, and when a fusion characteristic is generated, performing first-order derivative operation on the three-dimensional fluorescence spectrum to identify the characteristic sub-region; according to the method, the key operation parameters are subjected to grid search optimization, and the optimal key operation parameter combination is screened out by performing multiple rounds of iterative training and evaluation on a preset training set and a verification set, so that the recognition performance of the real-time collected water sample is improved.

The invention provides a recombined protein rSp14-3-3 of sarcocystis tenella, an antibody and an ELISA (Enzyme-Linked Immunosorbent Assay) diagnostic kit of the recombined protein rSp14-3-3 of the sarcocystis tenella. The research firstly provides the recombined protein rSp14-3-3 of the sarcocystis tenella. According to the present invention, the recombinant protein rSp14-3-3 is used as a gene fragment, the obtained gene fragment is connected to an expression vector to carry out induced expression and protein purification, the purified recombinant protein rSp14-3-3 is used to coat an ELISA plate, the ELISA detection method for sheep infected with sarcosporidium is established, and the specific monoclonal antibody for the recombinant protein rSp14-3-3 is further provided. All the products can be applied to diagnosis of infection of sarcocystis in samples, water samples, food, environmental samples and the like, and technical support is provided for subsequent immunological diagnosis of sheep sarcocystis by using the protein.

The invention relates to a water quality detection device, which comprises: a sampling module, which at least comprises a first sampling module and a second sampling module, and the first sampling module and the second sampling module are respectively arranged at a first sampling point and a second sampling point; the multi-channel pipeline corresponds to the sampling module and at least comprises a first channel pipeline and a second channel pipeline, and the first channel pipeline and the second channel pipeline are correspondingly communicated with the first sampling module and the second sampling module respectively; the detection module is communicated with the multi-channel pipeline; the first sampling module extracts a water sample corresponding to the first sampling point and conveys the water sample to the detection module for detection through the first channel pipeline, and the second sampling module extracts a water sample corresponding to the second sampling point and conveys the water sample corresponding to the second sampling point to the detection module before the water sample corresponding to the second sampling point is conveyed to the detection module. And the water sample in the detection module is discharged through the first channel pipeline and / or the drainage pipe of the detection module. The water quality of different sampling points can be efficiently sampled and detected.

The invention provides a rapid detection method for water pollutants, which comprises the following steps: removing large-particle impurities and suspended solids in a water sample to be detected to obtain a target water sample; the method comprises the following steps: synchronously detecting multiple pollutant indexes of a target water sample through a multi-source sensor array to generate an initial detection data set; performing noise filtering and baseline correction on the initial detection data set to generate a target detection data set; performing space-time dimension dynamic fusion and feature decoupling on the target detection data set to generate water quality pollutant data and dynamic risk assessment indexes; and constructing a multi-dimensional risk assessment report by adopting the water quality pollutant data and the dynamic risk assessment indexes. By adopting a dynamic gradient filtering technology, impurity interference is effectively removed, dynamic risk assessment of a time dimension is realized, the accuracy and reliability of detection in a complex water quality environment are remarkably improved, and rapid and accurate water quality pollutant detection and risk assessment are realized.

The invention relates to the technical field of fishery breeding, in particular to a step depth adjustable mandarin fish domestication breeding water temperature detection device and a domestication method.The step depth adjustable mandarin fish domestication breeding water temperature detection device comprises a mounting plate; a lifting assembly capable of driving a lifting piece arranged on the mounting plate to intermittently descend in the longitudinal direction is arranged on the mounting plate; triggering pieces are arranged on the mounting plate at equal intervals. A temperature measuring cylinder is arranged on the lifting part, the temperature measuring cylinder is communicated with a water sample extracting assembly on the lifting part, the water sample extracting assembly comprises a suction cylinder which is arranged on the lifting part and is communicated with the temperature measuring cylinder, a suction part is arranged in the suction cylinder, and the suction part is matched with a driving assembly on the lifting part and can suck a water sample into the temperature measuring cylinder; when the driving assembly is separated from the triggering piece and is quickly reset, the suction piece acts reversely, and the sample pumped into the temperature measuring cylinder is discharged; through cooperation of all the assemblies, culture personnel can conveniently and accurately obtain the temperatures of water bodies at different depths of a culture pond.

The invention discloses a virulence factor gene relative abundance prediction model based on water quality physicochemical indexes, and relates to the technical field of ecological environment protection, and the virulence factor gene relative abundance prediction model comprises the following steps: taking a plurality of river water samples, obtaining virulence factor gene relative abundance of the river water samples, and obtaining water quality physicochemical index data of the river water samples; temperature, redox potential, ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, total nitrogen, total dissolved solids, pH, conductivity, chlorophyll-a, chemical oxygen demand, dissolved oxygen, total organic carbon, total phosphorus, organic nitrogen, phosphate, carbon-nitrogen ratio and organic nitrogen / total nitrogen are taken as explanatory variables, and relative abundance of virulence factor genes is taken as a target variable. And establishing a regression model by adopting a GBM algorithm in an h2o packet in R software, and predicting the relative abundance of the virulence factor gene of the river water sample to be detected by utilizing the prediction model. The research provides a brand new method for predicting the relative abundance of the virulence factor gene and analyzing the environmental response of the virulence factor gene, and the method is suitable for identification and interpretation of a high-dimensional nonlinear ecosystem with complex interaction.

The present invention discloses a strain of Stutzerimonas kunmingensis and its application in water denitrification, relating to the field of biotechnology. The Stutzerimonas kunmingensis was deposited in the General Microbiology Center (CGMCC) of the China Culture Collection of Microorganisms on April 24, 2024, with a deposit address of No. 3, Yard No. 1, Beichen West Road, Chaoyang District, Beijing, and a deposit number of CGMCCNO.30427. The present invention isolated and obtained Stutzerimonas kunmingensis 9‑4 from a water sample of a crucian carp recirculating aquaculture system. The strain has a good removal effect on nitrate nitrogen, nitrite nitrogen and ammonia nitrogen in the water environment. At the same time, adding hematite under light conditions can significantly improve the removal rate of nitrate nitrogen, nitrite nitrogen and ammonia nitrogen by the Stutzerimonas kunmingensis, which can be applied to the removal of nitrate nitrogen, nitrite nitrogen and ammonia nitrogen in aquaculture water environment and aquaculture tail water.