150 results about "Soil carbon" patented technology

The invention relates to the field of agricultural fertilization, in particular to a soil carbon nitrogen ratio fused straw returning fertilization optimization method, which comprises the following steps of: performing standardization processing on farmland static characteristic data to obtain a farmland standardization characteristic vector and a characteristic standardization threshold value; performing coupling analysis on the straw returning amount and the soil carbon-nitrogen ratio in the farmland standardized feature vector set to obtain risk factors; performing path gradient integration on the risk potential energy field function to obtain a symmetric path cost gain factor; performing path cost gain correction on the Euclidean distance to obtain adaptive distance measurement; and fuzzy C-means clustering is performed on the farmland standardized feature vectors through adaptive distance measurement to obtain differentiated fertilization management partitions, so that the problem of inaccurate fertilization decision caused by incapability of identifying key feature nonlinear coupling risks in existing management partitions based on Euclidean distance is solved.

The invention discloses a forest carbon sink function monitoring method based on multi-source data. The method comprises the following steps: collecting data such as vegetation, soil, weather, landform and interference factors; the collected data are preprocessed; the preprocessed data are input into a Biome-BGC model for processing, and ecological system carbon flux parameters are obtained; determining a vegetation carbon sink amount and a soil carbon sink amount based on an ecological system carbon flux parameter, and obtaining a comprehensive carbon sink amount by combining artificial and natural interference carbon emission amounts; determining the forest carbon sink potential through a constructed forest carbon sink potential calculation formula based on the calculated comprehensive carbon sink amount; based on the calculated comprehensive carbon sink amount, time stability, space stability and anti-interference stability are determined, weighted summation is carried out on the time stability, the space stability and the anti-interference stability, and the carbon sink stability is determined; according to the method, the forest carbon sink function is monitored through multi-source data, the monitoring accuracy is improved, and the forest carbon sink potential, the carbon sink stability and the investment value are accurately quantified.

The invention relates to the field of agricultural data analysis, in particular to a japonica rice paddy field soil carbon nitrogen ratio dynamic intelligent assessment method, which comprises the following steps: acquiring and preprocessing japonica rice paddy field environment time sequence data to obtain a standardized environment data set; performing nonlinear congestion analysis on the soil moisture content state to obtain a corrected moisture dimension distance component; obtaining a corrected temperature dimension distance component by evaluating the metabolism permissible degree of the soil moisture on the temperature effect; performing double weighted fusion on the moisture and temperature correction distance components to obtain a soil environment state clustering result; through coupling calculation of a soil environment state clustering result and a first-order dynamic decomposition model, a dynamic intelligent evaluation result of the carbon-nitrogen ratio of the japonica rice paddy field soil is obtained, so that the problem that existing clustering cannot accurately distinguish aerobic and anaerobic environment states in a japonica rice paddy field scene and causes deviation of the evaluation result of the carbon-nitrogen ratio of the soil is solved.

The invention discloses a forest carbon reserve and carbon sink monitoring and evaluating method based on a multi-source remote sensing technology. The method comprises the following steps: multi-source remote sensing data acquisition: respectively acquiring optical remote sensing data and radar remote sensing data; tree species classification and identification: carrying out tree species classification on the forest in the research area to realize tree species scale space distribution information extraction; for different tree species, biomass model parameters obtained through field investigation are combined, a biomass estimation model based on the tree species is established, model input parameters are biomass model parameters, and vegetation biomass is output; calculating the carbon reserve: calculating the vegetation carbon reserve by utilizing the inverted vegetation biomass and combining the carbon content coefficients of different tree species; estimating the soil carbon reserve, and finally obtaining the total carbon reserve of the forest ecosystem: calculating the carbon reserve variation of the forest ecosystem at different time points based on the multi-source remote sensing data of the long-term sequence. According to the invention, large-range, high-precision and continuous forest carbon reserve and carbon sink monitoring and evaluation considering tree species difference is realized.

The invention discloses a monitoring system for forest ecological carbon sink calculation, and belongs to the field of ecological environment monitoring and carbon sink evaluation. Comprising a foundation optical remote sensing module, a crown biomass calculation module, a soil carbon component identification module, a vertical carbon flux detection module, a regional microclimate analysis module, a time sequence big data coupling module, a carbon source and carbon sink model fusion module and a result correction feedback module. The method comprises the following steps: collecting vegetation three-dimensional structure data through a multi-frequency laser radar, calculating unit-area canopy carbon storage acceleration in combination with seasonal climate interference parameters, and fusing turbulent carbon exchange and soil carbon change data to construct a regional carbon flux coupling model; the system collects cross-rosa chinensis carbon change data to construct a multi-dimensional feature tensor diagram, dynamically updates a weight and a fitting function, realizes carbon sink dynamic estimation and feedback optimization based on a biology-climate-time three-dimensional cooperation mechanism, and improves forest carbon sink monitoring precision and stability. The beneficial effect is that scientificity and accuracy of ecological environment monitoring and carbon sink evaluation are improved.

The invention relates to the technical field of soil monitoring and data analysis, and discloses a soil carbon and nitrogen content dynamic prediction method based on deep learning. The method comprises the following steps: acquiring soil monitoring data from an environment monitoring platform, performing dimension reduction by using a multi-layer perceptron model to obtain core features, and dividing a dynamic monitoring data set according to the core features; taking the data set as input, and constructing an initial prediction model by using a time convolutional network; and constructing a meteorological factor library and an influence map, replacing an initial model time node, and obtaining a climatic factor node prediction model through cross validation. And performing regression fitting and cross validation verification by using a Gaussian process, and constructing a soil dynamic prediction model. According to the method, through multi-step data processing and model construction, the influence of soil data characteristics and meteorological factors is effectively mined, the dynamic change of the soil carbon and nitrogen content can be accurately predicted, and powerful support is provided for the fields of precision agriculture, environmental protection and the like.

The invention discloses a rhizosphere deposited carbon flux real-time monitoring method adopting a sensor array, and relates to the technical field of soil carbon cycle monitoring, and the method comprises the steps: determining a layered sampling depth and a horizontal concentric circle partition range based on the three-dimensional distribution characteristics of a target plant root system, and mapping the layered sampling depth and the horizontal concentric circle partition range to a preset three-dimensional grid coordinate system; gas sensors and environmental parameter sensors are deployed according to root system partitions, and a multi-dimensional sensor array is constructed. Through the three-dimensional grid coordinate system and the root system density gradient model, accurate spatial mapping of rhizosphere carbon flux is realized, high matching of sensor layout and root system biomass distribution is ensured by utilizing division of vertical layering and horizontal concentric circle partition, and the gas sensor and the environmental parameter sensor are cooperatively deployed, so that the reliability of the system is improved. The device can capture instantaneous changes such as root exudate pulse and microbial respiration, generates a continuous and consistent carbon flux data set, and provides a high-resolution dynamic observation basis for researching plant-soil-microbial interaction.

Disclosed is a method and device for predicting soil organic carbon based on spectrum-guided ensemble learning. The method includes: obtaining a soil sample and a real organic carbon content and an original soil spectrum thereof, pre-processing the original soil spectrum to obtain a soil spectrum sample, constructing, based on the soil spectrum sample, a sample set, grouping the sample set into a first training set and a validation set, and using the real organic carbon content as a label; training, based on the first training set and the corresponding labels, a partial least squares regression model, a Cubist model and a random forest model to obtain carbon content predicted value sets of the three models; constructing, based on the carbon content predicted value sets of the three models and soil spectrum principal component data, a second training set, and training a second random forest model with the second training set and corresponding labels to obtain a spectrum-guided ensemble model. The method combines the advantages of different predictive models and can accurately predict the soil carbon content.

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 belongs to the technical field of soil organic matter improvers, and discloses a soil organic matter improver based on a compound microbial agent and a preparation method thereof, and the soil organic matter improver comprises the following components: a compound enzyme, a modified chitosan microsphere complex, a modified polyelectrolyte, an inhibitor L-methionine sulfoximine, a substrate, an auxiliary factor and the compound microbial agent. A compound enzyme system is used as a core, soil ammonium ions are circularly and efficiently assimilated through glutamine synthetase / glutamate synthetase, and the soil ammonium ions are converted into organic nitrogen; and energy guarantee is provided by virtue of polyphosphate kinase. The modified chitosan microsphere complex is used for protecting and slowly releasing enzyme and a substrate, and controlled release of the inhibitor L-methionine sulfoximine is realized through the modified polyelectrolyte, so that carbon-nitrogen balance of soil is regulated and controlled. The system has a synergistic effect with a compound microbial agent, the problem of soil organic matter reduction caused by excessive nitrogen application is effectively solved, meanwhile, the crop root biomass is remarkably increased, and the soil organic matter content is increased.

The invention discloses a soil-plant carbon element tracking method and system based on isotope labeling, particularly relates to the technical field of soil carbon cycle in-situ detection, and is used for solving the technical problem that a carbon migration path in a rice rhizosphere heterogeneous micro region cannot be distinguished in the prior art. The method comprises the following steps: arranging a spatial coding microprobe array on a rice root system and a soil interface of a rice field, synchronously applying a C13 labeled compound, and continuously obtaining a grid node oxidation-reduction potential and a carbon isotope abundance value; dividing the boundary of a root surface oxidation layer and an anaerobic layer based on day and night oscillation phase difference mutation; detecting peak displacement migration from carbonyl bonds to carbon-carbon bonds in a boundary transition region by adopting an in-situ Raman spectrum, and correcting a space boundary; partitioning and clustering carbon isotope abundance values according to the corrected boundary, and identifying hot spot boundaries of a root tip secretion active region, a microorganism enrichment region and a mineral binding region; calculating the carbon isotope flux gradient in each region and generating a spatial distribution map; in-situ analysis of a rhizosphere carbon migration path is realized, and rice field carbon cycle research precision is improved.

The invention provides a composition and application thereof in ecological restoration, and the composition is granular and is prepared from glume of corncob, polyvinyl alcohol, sodium bentonite and water. The composition can keep soil moisture and improve the soil structure, the raw materials are biomass materials, water retention is achieved, food sources can be provided for microorganisms and soil animals in soil, microcirculation of moisture and soil organisms is formed around the composition, the soil organisms can further increase nutrients in the soil, and the soil quality is improved. Soil carbon-solid continuous increase of soil organic matters and aggregates is realized, and the method has great significance on ecological restoration.

The invention relates to the technical field of spectral analysis, discloses a soil carbon content rapid detection method and device based on spectral analysis, and provides a multi-scale attention fusion convolutional network model. The method comprises the following steps: firstly, carrying out smoothing, scattering correction and normalization preprocessing on collected soil spectral data; then, performing multi-scale feature extraction by using parallel convolution branches with convolution kernels of different sizes so as to comprehensively capture macroscopic and microscopic information in the spectrum; thirdly, a spectral attention module is originally introduced, so that the model can be adaptively focused on key features which have great contribution to SOC prediction, and interference such as moisture is inhibited; and finally, fusing the weighted features through a deep regression network and outputting an analysis result. An efficient technical scheme is provided for rapid and accurate detection of the carbon content of the soil.

The invention discloses application of leguminous green manure in preparation of a multifunctional soil conditioner for improving soil enzyme activity, relieving soil microbial metabolism limitation and / or enhancing a soil ecosystem. The leguminous green manure is small crown flowers. By means of the controllable decomposition characteristic and specific secretions, the activity of soil carbon (BG and CBH), nitrogen (NAG and LAP) and phosphorus (AKP) circulation key enzymes can be remarkably enhanced, the activity of the AKP is improved by 406%, the activity of the BG is improved by 158%, the microbial carbon limitation is effectively relieved by 12%, and the resource utilization strategy is optimized. The microcelosia cristata treatment can synchronously improve the soil ecological multi-functional index (EMF) and improve the nutrient circulation synergistic efficiency. Compared with the traditional leguminous green manure, the method has the advantages that the improvement effect of the microcelosia cristata in the degraded orchard is more continuous and ecologically adaptive, and an effective and feasible new soil remediation way is provided for agricultural sustainable development.

The invention discloses a high-precision determination method for determining iron-bound organic carbon delta 13C in soil, and belongs to the technical field of determination of the content of carbon isotope in soil. A liquid extracting solution is dropped into a tin boat and freeze-dried, an extracting solution of the iron-bound organic carbon is converted into a solid form, and the content of the iron-bound organic carbon delta 13C in the soil is determined. The problem that 13C abundance of a liquid sample is difficult to directly measure is solved, the isotope characterization method of the metal mineral binding state organic carbon is provided for the first time, the problems that mass spectrum signals of the liquid sample are unstable and form mixed measurement errors are large are avoided, accurate analysis (RSD is smaller than or equal to 1%) of form-divided delta 13C is achieved, and a key technical support is provided for research of a soil carbon circulation mechanism.

The present invention discloses a method for regulating carbon accumulation in degraded karst forest soil by synergistic microbial functions, comprising: measuring and collecting bacterial and fungal diversity sequence data of degraded karst forest soil samples by high-throughput sequencing equipment, storing the original sequencing data including diversity, community structure, functional abundance values, etc. in a computer-readable storage medium, and constructing a structured microbial community database; based on the database, a computer system performs screening of core functional microorganisms that affect carbon storage; based on the screening results, the computer system performs the following processing: calculating the functional abundance index of core microorganisms; determining the microbial function weight by multivariate linear regression; establishing a carbon accumulation regulation coefficient calculation model; preparing a microbial agent and generating a control instruction including the microbial agent application amount and the vegetation coverage optimization plan according to the calculated value of the carbon accumulation regulation coefficient and the soil organic carbon saturation deficit value, and transmitting the control instruction to the field operation equipment.

The invention discloses a carbon sink intelligent evaluation platform based on solid waste resource utilization, and the platform constructs a digital elevation model and a canopy height model through aerial remote sensing and ground environment data collection, and evaluates the vegetation net primary productivity in combination with a light energy utilization rate model. Training a soil organic carbon inversion model by adopting machine learning, and analyzing multi-stage hyperspectral image data; and establishing a soil carbon dynamic model to simulate a carbon solid storage and turnover process. Remote sensing data, LiDAR structure parameters and ground actually measured biomass are fused through random forest regression, and the biomass estimation precision is optimized. And finally integrating the plant and soil carbon sequestration amounts, calculating the total carbon sequestration amount of the ecological system and evaluating the temporal and spatial variation characteristics of the total carbon sequestration amount. According to the platform, intelligent and precise carbon sink evaluation is realized, and a scientific basis is provided for ecological restoration and carbon sink management.

A method for calculating total organic carbon (TOC) for a sample location includes obtaining an intact core soil sample from a sample location, the core soil sample having a depth and mass; transferring a predetermined fixed mass M from the intact core soil sample into an analysis sample container to obtain an analysis sample; and providing a subsample of the analysis sample for soil organic carbon (SOC) concentration testing.

The invention discloses a homeland space ecological protection and restoration effect evaluation method based on big data analysis, and relates to the technical field of ecological environment monitoring, multi-source big data and a remote sensing time sequence are utilized to divide a target restoration area into space units, and ecological carbon sink classification, vegetation index change, a biomass model and a soil carbon model are combined to evaluate the ecological protection and restoration effect of the homeland space. According to the method, quantification of carbon reserves of each space unit is achieved, the contrast unit which is not repaired but has similar conditions is matched, the carbon sink change prediction model is introduced to calculate the additional carbon sink increment of the repair unit relative to the contrast unit, contribution of natural succession and manual repair can be clearly distinguished, and quantification and traceability of the repair effect are achieved. According to the method, the extra carbon sink increment of each space unit is summarized to the region, and meanwhile, the space distribution pattern and the time change trend are analyzed, so that quantitative evaluation from a single point to the region and from the local to the whole is realized, and scientific reference is provided for ecological restoration planning and management.

The invention discloses a device and method for increasing soil carbon reserve by using organic fertilizer, the device comprises a storage part, the device is characterized in that the storage part comprises an upper support plate, and the upper support plate is fixedly connected with a first-layer barrel assembly, a second-layer barrel assembly and a third-layer barrel assembly; the first-layer barrel assembly comprises a first-layer barrel, the first-layer barrel is fixedly connected with the upper supporting plate and fixedly communicated with a first material pipe, the first material pipe penetrates through the upper supporting plate and is fixedly connected with first-layer circular plates on the upper side, and the two first-layer circular plates are fixedly connected with connecting blocks correspondingly; and the center of the first-layer circular plate on the upper side is fixedly connected with a first motor. The invention relates to the technical field of fertilization equipment, in particular to equipment and a method for increasing soil carbon reserve by using organic fertilizer. The technical problem to be solved by the invention is to provide the equipment and the method for increasing the soil carbon reserve by using the organic fertilizer, so that the application of the organic fertilizer is facilitated.

The present application relates to the field of crop cultivation and soil improvement technology, and discloses a wheat-corn-sunflower-legume green manure crop rotation carbon fixation and water saving method suitable for arid irrigation areas, which comprises wheat planting, corn planting, sunflower planting and legume green manure planting. The present application replaces traditional flooding irrigation with high-frequency low-amount drip irrigation mode, combines with precise water supply according to the water requirement characteristics of each crop growth period, and avoids invalid irrigation. Meanwhile, through straw returning to field, soil water evaporation is reduced, and soil conservation capacity is improved. Moreover, the present application constructs a double carbon fixation path of straw returning to field and green manure turning, straw is crushed and returned to field, organic carbon is input into soil every year, legume green manure is turned and decomposed, and soil organic matter content is improved. The present application also reduces nitrogen fertilizer application through symbiotic nitrogen fixation of legume green manure and rhizobium, protects soil microbial activity, optimizes soil carbon cycle, relieves soil degradation, and improves long-term carbon fixation potential of soil.

The application discloses a kind of vadose zone soil carbon flux multi-point synchronous monitoring device and method, including with the outside monitoring terminal wireless connection of a base station main body, with a base station main body wireless connection of several groups of acquisition module, acquisition module includes the box of bottom hollow and is arranged on the intelligent sensor group for collecting gas data in box;The gas analysis equipment is arranged in the base station main body, and the input end of gas analysis equipment is connected with the sampling port on the outer wall of several groups of box by several groups of connecting pipeline respectively, and the sample collection mechanism is arranged in the base station main body.The each box of the application is connected with gas analysis equipment by connecting pipeline, and the data acquisition range is improved by gas analysis equipment combined with the intelligent sensor group on the box, and the gas data collected by the intelligent sensor group can be calibrated by periodic gas extraction analysis, to ensure the accuracy and quality of acquisition data.

The utility model discloses a kind of for simulating root litter in situ sustained input device and its application, through the design of the soil column with stainless steel handle, 1 μm aperture nylon net, the PVC pipe with hole in bottom and multi-generation root litter in situ sustained input simulation system, the dynamic simulation of root litter sustained input process under soil profile scale is realized.The device solves the limitation of traditional decomposition experiment, can dynamically add root litter without destroying soil structure, while effectively blocking exogenous interference, ensuring the accuracy and consistency of experiment.The utility model provides key technical platform for studying the influence of root litter in situ sustained input on soil carbon stability, and is suitable for ecology, carbon cycle research and ecological system management and other fields.

The present application provides a kind of wind erosion sand transport rate vegetation correction factor dynamic optimization method, introduce the inherent cementation index of soil inorganic / organic carbon ratio, by quantifying carbon ratio influence coefficient, the inherent influence of soil carbon component structure on soil aggregate stability, sand critical condition is integrated into vegetation correction system, so that vegetation correction process is no longer separated from soil base attribute, substantially improve the physical mechanism rationality of wind erosion model. Meanwhile, through remote sensing per-pixel modeling and multi-factor spatial overlay operation, realize the dynamic adjustment of each pixel vegetation correction factor with the difference of soil carbon structure, vegetation coverage, vegetation type, solve the distortion problem caused by the parameter uniformization and staticization of traditional model.

A phage composition and an use thereof in strengthening soil carbon fixation, said phage composition including three phages, namely, a polyvalent phage φYSZKP that attacks Klebsiella pneumoniae and Pseudomonas aeruginosa; a Bacillus cereus phage φYSZBA1; and a Bacillus cereus phage φYSZBA2. In the present invention, the phage composition is injected into the target soil, and an approach of strengthening soil carbon fixation by means of cooperation with the host bacteria through injection of AMGs from the phage is employed; at the same time, the phage has a function of regulating the soil microbial communities from bottom to top; a network of symbiosis with indigenous bacteria is further optimized, and the soil carbon fixation potential is improved. This technique is an environmental improvement technique that achieves a good carbon fixation effect, has a low price and is environment-friendly.

The invention discloses a soil organic carbon mineralization rate determination method, and relates to the technical field of soil carbon circulation and greenhouse gas monitoring. The method comprises the following steps: carrying out hydrochloric acid back titration on an absorption liquid by adopting an automatic potentiometric titration method, converting to obtain the mass of a carbon element contained in carbon dioxide, calculating the mineralization rate by combining the dry soil weight and the culture interval, and finally subtracting an inactivation control value to obtain the organic carbon mineralization rate driven by pure microorganisms. A thin-wall stainless steel undisturbed soil drill matched with the inner diameter of a culture bottle is used for collecting soil columns in a layered manner, PVC liner tube sealing and constant-temperature transportation are matched, and a cold chamber for simulating the in-situ temperature is combined, so that the in-situ structure and the microbial habitat of the loose high-water-content peat soil are reserved to the maximum extent, and damage of traditional pretreatment to soil pores and microbial communities is avoided.

A carbon amount acquisition device (100) comprises: an information acquisition unit (11) that acquires information indicating a first soil carbon amount contained in the soil in a specific area at a first time point; a plant carbon amount acquisition unit (12) that acquires information indicating the plant carbon amount contained in the plant in the specific area at the first time point; a discharged carbon amount acquisition unit (13) that acquires information indicating the discharged carbon amount discharged from the soil in the specific area during a period from the first time point to a second time point which is after the first time point; and a soil carbon amount acquisition unit (14) that acquires, on the basis of the result of subtracting the discharged carbon amount from the total of the first soil carbon amount and the plant carbon amount, information indicating a second soil carbon amount contained in the soil in the specific area at the second time point.

The invention discloses a method and device for detecting carbon and nitrogen elements in fresh soil. The method comprises the steps of pipeline air exhaust, water quantification, low-temperature cracking, medium-temperature oxidation, high-temperature combustion and the like. The device comprises a combustion furnace, a heat exchange tube, an electronic condenser, a dehalogenation device, a flow divider, a collector, a reduction furnace, a carbon adsorption column and a TCD detector. The electronic condenser is used for cooling the vaporized atmosphere in the fresh soil, real-time high-precision quantitative analysis is carried out on the water content, and the content of carbon and nitrogen elements in the fresh soil is converted into the content of carbon and nitrogen in the dry soil through the water content of the soil; the contents of carbon or nitrogen in various forms are distinguished by utilizing staged combustion detection for the first time, the contents of main nutrient elements of carbon and nitrogen in the soil can be rapidly and accurately determined in a field edge site, and compared with determination after air drying of a soil sample, the detection time is greatly saved; the determination result of the method can guide field fertilization, provides a scientific basis for agricultural production, and serves modern agricultural development.

The present application belongs to the technical field of straw decomposition and soil improvement, and particularly relates to a method for promoting decomposition of straw returned to field. The present application forms a biological community of diazotrophs by applying artificial cultivation of nitrogen-fixing blue-green algae to a rice field, uses the diazotrophs to increase soil nitrogen by biological nitrogen fixation, and reduces the amount of nitrogen fertilizer applied. Meanwhile, the diazotrophs can also improve the activity of soil decomposing bacteria by secreting active substances such as extracellular enzymes, accelerate the conversion of straw source carbon to soil microbial source carbon, regulate the carbon-nitrogen balance of soil, and reduce the adverse effects on crops. On the other hand, the present application can reduce greenhouse gas emissions, and achieve rapid accumulation of soil organic matter and improvement of soil fertility.

The deep soil bulk density measuring device comprises a well digging device and a soil taking device, the soil taking device is installed on a drill rod of the well digging device, the soil taking device is composed of a drill bit, a cutting ring and a pressure sensor, the drill bit is in a barrel shape, an opening of the drill bit faces downwards, the upper end of the drill bit is connected with the drill rod, and the lower end of the drill bit is connected with the cutting ring. A pressure sensor is installed in the center of the bottom of the barrel, and a cutting ring is installed below the pressure sensor in a pressing mode. According to the utility model, the characteristic that a well digging machine can collect deep soil and the characteristic that a cutting ring method is simple and operable are combined, and the deep soil is collected through the cutting ring, so that the purpose of accurately measuring the bulk density of the deep soil is achieved, and the device has certain positive significance on research in related fields such as soil physicochemical property analysis, civil engineering and soil carbon sink.