37 results about "Anthropogenic factor" patented technology

The invention discloses a grassland degradation degree monitoring model and method based on a remote sensing technology, and belongs to the technical field of ecological environment monitoring. The method comprises the following steps: step 1, constructing a multi-scale remote sensing data set with consistent time and space, and establishing a high-precision truth value library of grassland types and degradation degrees in combination with ground measured data; step 2, constructing a remote sensing index system adapted to different spatial scales; step 3, identifying key scale conversion nodes of grassland degradation driven by climate and human factors; step 4, grassland degradation degree grading from the pixel scale to the landscape scale is realized, and spatial distribution, area change and time-space evolution trend of each degradation grade are quantitatively analyzed; step 5, realizing reliable conversion and up-down transmission of analysis results of different scales, and generating a comprehensive grassland degradation monitoring result; and step 6, automatically generating differentiated management strategies, and outputting a grassland degradation level distribution map, a driving force analysis map, a risk early warning map and a partition management suggestion map.

The invention discloses an SCAR marker for identifying onion pollen pollution and application thereof, the specific fragment length of the SCAR marker is 811bp, the nucleotide sequence of the SCAR marker is as shown in SEQ ID NO.1, and the SCAR marker of the onion has no target band; the invention also discloses a specific primer of the SCAR marker. When the marker determined by the method is used for verifying the allium fistulosum of different varieties and the allium fistulosum YZD polluted by the onion pollen, the allium fistulosum and the allium fistulosum YZD polluted by the onion pollen can be rapidly and stably identified, compared with a traditional seed purity identification method, the method is not influenced by natural environment and human factors, batch experiments can be carried out, the identification efficiency is improved, and the method is suitable for large-scale popularization and application. The invention provides a rapid and feasible method for solving the problem that allium fistulosum varieties are mixed due to the fact that allium fistulosum pollen is polluted by onion pollen in production.

The invention discloses an AR digital reconstruction and visual navigation system and method for an agricultural cultural heritage scene. The system comprises a digital modeling module, a scene recognition module, an AR reconstruction module, a path navigation module and an interactive navigation module. According to the invention, by fusing laser point cloud, unmanned aerial vehicle images and historical images, agricultural cultural heritage scenes such as rice terraces, mulberry-based fish ponds, waterwheel irrigation systems and the like with extremely high local characteristics are reconstructed, historical scenes in which natural or human factors disappear are recovered, and AR live-action is superposed with virtual farming behaviors, traditional festival activities and clothing styles and features, so that the real-scene and real-scene virtual farming is realized. A user can experience thousand years of agricultural culture personally on the scene, the visiting experience that the user cannot understand and cannot see completely in the past is changed, an exclusive route is planned for the user, various interaction modes such as voice, images and gestures are supported, and the method is suitable for users of different age groups, language backgrounds and cultural cognition levels.

The invention belongs to the technical field of forest carbon sink management, and discloses a forest carbon sink spatio-temporal dynamic monitoring method based on multi-source data fusion, comprising the following steps: acquiring multi-source data associated with carbon sink spatio-temporal dynamic monitoring in the southeast of Tibetan, and preprocessing the multi-source data; constructing a carbon sink estimation model; constructing a coupling influence model based on the multi-factor influence factors; and based on an influence mechanism analysis result, a natural driving path and a manual driving path are distinguished, a dominant driving mechanism is defined, and a targeted improvement strategy is formulated in combination with the characteristics of the southeast Tibetan forest ecosystem. By adopting the method, the time-space dynamic data of the structure and the carbon sequestration function of the southeast Tibetan forest ecosystem are accurately obtained; the coupling influence mechanism of biological factors, environmental factors and human factors on the carbon sequestration function of the southeast Tibetan forest is systematically analyzed; a dominant path and an interaction mechanism for natural and human factors to drive the carbon sink change of the southeast Tibetan forest are defined, and technical support is provided for regional forest ecological system protection and carbon sink management.

The invention discloses a traction type landslide area identification method and system based on an InSAR technology, belongs to the technical field of geological disaster dynamic identification and monitoring, and effectively overcomes the limitation of a traditional method by obtaining surface deformation information through radar remote sensing data. The InSAR technology can cover a larger area, provides planar deformation characteristics, and reflects the overall deformation rule of the slope more completely. Meanwhile, the InSAR technology has the advantages of being rapid and efficient, a large amount of data can be obtained in a short time, and the traction type landslide recognition efficiency is remarkably improved. Compared with field geological survey and geophysical exploration, the InSAR technology is not limited by terrains, deformation information of areas difficult to reach can be obtained, data are objective and reliable, and influences of human factors are reduced. By comprehensively analyzing the multi-temporal and multi-track InSAR data, the boundary, form and deformation characteristics of the traction type landslide can be identified more accurately, and more accurate data support is provided for risk assessment and prevention of the traction type landslide.

The invention provides a construction method of a water ecological safety collaborative monitoring index system. Belongs to the technical field of ecological evaluation. According to the method, firstly, monitoring indexes are preliminarily screened, then, monitoring index data are preprocessed to eliminate the influence of human factors, then, preprocessed water environment indexes are optimized, and finally, monitoring differentiation indexes are constructed in combination with river and lake water ecological safety problems. According to the method, technologies such as a literature analysis method, a frequency analysis method and a box plot method for preprocessing, correlation analysis and main component analysis are used, redundant indexes can be effectively reduced, the monitoring range is optimized, the accuracy of a monitoring result is improved, and the method has important practical value for ensuring water ecological safety.

The invention discloses a Fisher river and lake sedimentary facies distinguishing method and system based on granularity parameters, and belongs to the field of sedimentary facies. The method comprises the following steps: collecting sedimentary granularity data of a river-lacustrine facies stratum; inputting the sedimentary granularity data of the river-lake facies strata into a Fisher discrimination function, and outputting a river-lake sedimentary facies discrimination result; the Fisher discriminant function construction process comprises the steps that sedimentary granularity data of a river-lake facies stratum is obtained, and river-lake sedimentary facies division is conducted through mathematical analysis software; and on the basis of a result obtained by dividing the river-lake sedimentary facies, combining the granularity parameters of the sedimentary granularity data of the river-lake facies stratum, and performing fitting to form a Fisher discriminant function. According to the method, the river-lake sedimentary facies division result is combined with the granularity parameters, the Fisher discrimination function is formed through fitting, the influence of human factors on river-lake facies division is avoided, the river-lake sedimentary facies discrimination result is obtained through calculation by means of the Fisher discrimination function, and analysis of sedimentary environment evolution of a research area can be achieved.

The application discloses a soil salinity inversion method and system based on multi-modal remote sensing data fusion, a device and a storage medium, and is applied to the technical field of soil quality monitoring.The method comprises the following steps: acquiring radar and optical remote sensing data of a soil salinity area to be inversed, and performing conductivity determination as an inversion index of soil salinity; acquiring multi-modal remote sensing features based on radar and optical remote sensing data fusion, combining the radar and optical remote sensing data, and based on a random forest algorithm, using a recursive feature elimination method to optimize the remote sensing feature combination, using cross validation to evaluate the model performance of the remote sensing feature combination, and obtaining an optimal remote sensing feature combination; based on the optimal remote sensing feature combination, a soil conductivity prediction model based on the random forest algorithm is constructed and trained, inputting the data to be measured into the conductivity prediction model after hyperparameter adjustment, and the soil salinity inversion is completed.The application realizes more accurate inversion of soil salinity under the interaction influence of complex environment and human factors.

The invention belongs to the technical field of gas reservoir exploration, and particularly relates to a method and a system for depicting a water invasion dominant channel space of a fractured-porous gas reservoir. The method comprises the following steps: establishing a dual-medium fine geological model, wherein the dual-medium fine geological model comprises a matrix porosity model and a discrete fracture network model; obtaining a matrix permeability model according to the matrix porosity model, and obtaining a fracture permeability model according to the discrete fracture network model; matrix heterogeneity characterization parameter gridding is carried out based on the matrix permeability model, and fracture heterogeneity characterization parameter gridding is carried out based on the fracture permeability model. According to the method, the near-wellbore zone water invasion channel or the seepage barrier can be accurately judged, the whole gas reservoir water invasion channel or the area to be subjected to water invasion can be predicted, the influence of human factors is reduced, and the method is visual, fine, high in calculation efficiency and high in accuracy for the crack-pore type reservoir. And predicting the geometrical morphology and spatial configuration relation of the water invasion channel with comprehensive evaluation parameters.

The invention belongs to the technical field of animal behavior observation, particularly relates to a behavior observation device for arthropods utilizing condensed water, and aims to solve the problems that arthropod behaviors and environmental data are acquired by equipment, time and space are asynchronous and cause and effect analysis is affected in the conventional device. In order to solve the problem that the condensed water utilization mode of arthropods may vary along with the change of earth surface materials and is difficult to observe, the invention provides the following scheme: the system comprises an automatic behavior recording unit and a dynamic environment element monitoring unit; meanwhile, the occurrence time and quantity of condensed water on the surfaces of different materials are observed, environmental factors such as rainfall, temperature and wind speed influencing formation of the condensed water and the mode that arthropods utilize the condensed water are recorded and monitored, the manual monitoring cost is greatly reduced, and the influence of human factors on the observation result is reduced; and the behavior and mode of utilizing condensed water by arthropods can be accurately judged, and environmental influence factors are determined, so that the working efficiency is remarkably improved.

This invention relates to the field of oil and gas reservoir geological exploration technology, specifically a method for identifying multiple fracture stages in buried hill oil and gas reservoirs based on tectonic stress field evolution. The method includes the following steps: Tectonic evolution history analysis step: Geological data of the target buried hill oil and gas reservoir area are systematically collected. Based on seismic profiles, stratigraphic contact relationships, tectonic deformation characteristics, and chronological data, a comprehensive analysis is conducted to construct a multi-stage tectonic evolution history of the area from the Paleozoic to the Cenozoic, accurately determining the geological age and tectonic nature of each key tectonic event. Compared to existing technologies, this application establishes a quantitative discrimination model based on mechanical principles through paleostress field numerical simulation and quantitative prediction of theoretical fracture parameters. This standardizes and quantifies the fracture stage identification process, significantly reducing the uncertainty caused by human factors, improving the objectivity and repeatability of the discrimination results, and achieving a leap from qualitative analysis to quantitative discrimination.

The invention belongs to the technical field of geophysical exploration, and discloses a method and a device for drawing a clastic rock sedimentary facies diagram by using a digital language and a medium, lithology data is processed and then combined with seismic attributes, and the clastic rock sedimentary facies diagram is simply and quickly drawn through digital processing. According to the method, uncontrollable interference of human factors in a traditional method is overcome, and errors and low efficiency caused by human cognitive differences and experience differences are avoided. The method is simple and convenient in process and high in accuracy, the device and the medium based on the method are convenient to use, the clastic rock sedimentary facies diagram can be rapidly and efficiently drawn, the facies belt analysis efficiency is greatly improved, and great contribution is made to oil and gas exploration and development projects.

The invention belongs to the technical field of crop stress resistance detection, and particularly relates to a wheat resistance evaluation method based on chloroplast and mitochondrial morphological quantitative indexes and application. The physiological index chloroplast number, the mitochondrial cross section and the ratio of the mitochondrial matrix area to the ridge area selected by the evaluation method can directly reflect the physiological adaptability of wheat to high temperature and drought stress, are not interfered by environmental factors, and have higher specificity and accuracy; the method also has the characteristics of short detection period and high efficiency, the sample preparation and detection process can be completed within 7-10 days, and stress resistance screening of a large number of germplasm resources can be rapidly realized; the operation process of the evaluation method is standard, the interference of human factors can be effectively avoided, and the repeatability and the stability of a detection result are good; the method can be suitable for high-temperature drought resistance identification of different types of wheat varieties, can also be used for early generation screening in the wheat stress-resistant breeding process, and provides reliable technical support for cultivation and popularization of the stress-resistant wheat varieties.

The invention discloses a rock slope soil sample collection method, and relates to the technical field of geological and soil scientific research, and the method comprises the following steps: 1, preparing before sampling; 2, arranging and collecting sampling points; 3, storing and transporting the soil sample; and 4, sample numbering and file recording. According to the method for collecting the rock slope soil sample, sampling points are reasonably arranged, limitation of a traditional sampling method is avoided, and the representativeness and accuracy of a sampling result are improved; the sampling process is standard, the influence of human factors on the sample is reduced, and the purity and integrity of the sample are ensured; the sample storage and transportation method is scientific, and the stability and the reliability of the sample in the storage and transportation process are ensured; perfect sample archives and databases are established, and powerful support is provided for follow-up analysis and research.

The invention belongs to the technical field of geophysical oil-gas exploration, and provides an intrusive diabase mass recognition method and device, a storage medium and equipment. According to the method, intrusive diabase mass recognition is carried out based on logging curve characteristics, seismic attribute analysis and wave impedance inversion result comprehensive analysis by taking the advantage frequency of intrusive diabase mass as a constraint. According to the method, the intrusive diabase body can be distinguished from other strong energy anomalous bodies, and the prediction result can be calibrated by utilizing seismic reflection characteristics and mutually verified, so that interference of other lithology and human factors is eliminated, and the reliability of the prediction result is improved.

The application discloses a grassland degradation degree monitoring model and method based on remote sensing technology, and belongs to the technical field of ecological environment monitoring. The method comprises the following steps: step 1, constructing a multi-scale remote sensing data set consistent in time and space, and combining ground measured data to establish a high-precision true value library of grassland types and degradation degrees; step 2, constructing a remote sensing index system suitable for different spatial scales; step 3, identifying key scale conversion nodes of grassland degradation driven by climate and human factors; step 4, realizing grassland degradation degree grading from a pixel scale to a landscape scale, and quantitatively analyzing the spatial distribution, area change and spatio-temporal evolution trend of each degradation grade; step 5, realizing reliable conversion and up-down transmission of analysis results of different scales to generate comprehensive grassland degradation monitoring results; and step 6, automatically generating differentiated management strategies and outputting a grassland degradation grade distribution map, a driving force analysis map, a risk early warning map and a partition management suggestion map.

The invention relates to the technical field of soil analysis, in particular to soil analysis test equipment which comprises a water tank, soil disintegration test equipment, electronic equipment and camera equipment. The soil disintegration test equipment simulates the disintegration process of a soil body sample and a water body in a relative motion state, and records mass change data of the soil body sample in the disintegration process; the camera shooting equipment shoots a water body image corresponding to a water body in the soil disintegration test equipment in the disintegration process of the soil body sample; the electronic equipment identifies the mass change data and determines the soil body water sensitivity corresponding to the soil body sample; and identifying the water body image, and determining the soil body dispersity corresponding to the soil body sample. Interference of human factors is reduced, accuracy and reliability of data are improved, and result comparison and communication among different research institutions or testers are facilitated. Therefore, the disintegration characteristic of the soil body is studied under the state that the soil body and the water move relatively.

The present invention relates to a method for making a comprehensive comparison map of a porous low-permeability sandstone reservoir, including: selecting a number of profiles parallel and transverse to the sediment source according to the sedimentary background to obtain the backbone profiles for sand body comparison, using spectral analysis technology to extract spectral characteristics from the original logging curves, realizing the identification of sequence boundaries to avoid the influence of human factors, carrying out stratigraphic division and correlation, and then building a sequence stratigraphic framework; under the sequence stratigraphic framework, carrying out sand body comparison according to sedimentary cycles and sand body development stages; classifying and comparing the target sandstone reservoir sections according to the physical properties, microscopic reservoir characteristics and productivity of the target sandstone reservoir sections; checking the comparison relationships of the types of the sandstone reservoir sections, selecting the comparison relationships or explanatory conclusions of the parts with abrupt comparison or sharp changes for correction, and completing comparison mapping to quickly locate the sweet spot reservoirs and the laws of heterogeneity.

The present application relates to a kind of multi-parameter fusion shale compressibility evaluation method and system, comprising: the present method directly from the characteristics of shale compressibility, by the quantitative calculation of shale reservoir fracturing index, on the basis of porosity, permeability Young's modulus, brittleness index, fracture toughness, and tensile strength such as key parameters, integrated comprehensive sand liquid ratio, slickwater proportion, above medium sand proportion three field fracturing construction parameters, after evaluation parameter normalization processing, all become positive index, then using variation coefficient method calculates each parameter weight, finally creates can all aspects, reasonable quantitative reflection shale oil reservoir fracturing evaluation method, the model evaluates the fracturing of shale reservoir from multiple angles.Compressibility can be objectively, comprehensively, scientifically evaluated to shale reservoir, reduce human factor interference, significantly improve the overall efficiency and effect of fracturing operation, improve the fracturing effect and reservoir producing degree of shale reservoir.

The present invention discloses a wetland degradation risk assessment method and system, specifically relates to a method for wetland degradation risk grading using a risk assessment method coupled with an analytic hierarchy process (AHP), an entropy weight method (EWM) and an improved catastrophe theory (ICT), comprising: (1) establishing an alternative set of evaluation indicators: selecting human factors, natural factors and socioeconomic factors that affect wetland degradation in an evaluation area, and selecting characterization factors of wetland degradation from three aspects: wetland structure, wetland state and wetland function; (2) using a variance inflation factor (VIF) to screen relatively independent unit evaluation indicators; (3) ranking the importance of evaluation indicators based on the comprehensive weights determined by AHP and EWM; (4) using ICT to calculate a risk assessment value of wetland degradation; and (5) comparing the risk assessment value with a risk level threshold to determine the risk level of wetland degradation.

To enable automatic prediction of photochemical oxidants.SOLUTION: In a specific area, NOX, VOC, hydrocarbon-based substances, photochemical oxidants, wind direction, wind speed, humidity, solar radiation, and temperature in the atmosphere within a predetermined period are observed. After that, among these observed values, at least three items in total including at least two items of NOX, VOC, hydrocarbon-based substances, and photochemical oxidants, which are anthropogenic factors, and at least one item of wind direction, wind speed, humidity, solar radiation, and temperature, which are natural factors, are used as input values. The situation of photochemical oxidants after the predetermined period is predicted by using a neural network.SELECTED DRAWING: Figure 3

The invention discloses a soil environment supervision method and system. The system is constructed by an information acquisition module, a point location layout module, an investigation sampling module, an analysis test module and a result reporting module by means of an internet technology. The information acquisition module is used for acquiring basic information of soil plots; the point location layout module is used for collecting basic information of sample points in a land parcel and determining sample point types and detection item information needing to be detected; the investigation sampling module is used for collecting sample information of point locations; the analysis test module is used for detecting different detection items of the sample and obtaining detection values; the soil environment monitoring method has the beneficial effects that each step of soil environment monitoring is ensured to meet the standard requirement by constructing a standardized monitoring process, the interference of human factors is reduced, and the reliability of a monitoring result is improved; based on the Internet technology and big data analysis, the compliance and the standard of the monitored data are monitored in real time, abnormal data are quickly identified and processed, and data counterfeiting behaviors are effectively prevented.

This invention discloses a method, system, and medium for determining the suspended sediment transport threshold at the watershed outlet and attributing the main controlling factors. The method includes the following steps: 1. Watershed data and multi-factor coding; 2. Definition and extraction of physical constraint thresholds; 3. Batch simulation of multiple scenarios; 4. Generation of monthly-scale threshold sequences; 5. Control variable attribution analysis. This application achieves a formal definition and extraction of the suspended sediment transport threshold at the watershed outlet within a distributed water and sediment model framework. Based on the control variable method and massive scenario simulation, it quantitatively identifies and ranks the contributions of different natural and anthropogenic factors to the change of this threshold, thereby providing a scientific basis for watershed sediment regulation and management.

The invention provides a method and system for identifying key human factors affecting hydrological drought, and belongs to the field of water resource management.The method comprises the steps that natural runoff data of a research area is obtained, and a hydrological drought judgment threshold value is calculated; according to the hydrological drought determination threshold value, obtaining a natural hydrological drought occurrence frequency in the research time period and an actually measured hydrological drought occurrence frequency in the research time period; calculating the difference value between the actually measured hydrological drought occurrence frequency in the research time period and the natural hydrological drought occurrence frequency in the research time period, and dividing the influence degree of human factors on hydrological drought in the research area; establishing a classification model of influence degrees of human factors on hydrological drought on different time scales through a random forest model, and calculating relative contribution rates of different human factors on different time scales; and key human factors influencing hydrological drought are identified. Fine division and quantitative attribution of the human factors are realized, and the accuracy of identifying the human factors influencing hydrological drought is improved.

This invention relates to a method and system for dynamic monitoring-based decision-making in sheep feeding, comprising: acquiring basic parameters and physiological characteristic parameters of the sheep, environmental parameters and human factors during normal sheep farming, to obtain a first set; filtering and dimensionally equalizing the first set to obtain a second set; constructing an initial decision model based on the second set and training the initial decision model to obtain a decision model; acquiring a real-time set of human factors and a real-time set of environmental parameters, combining the first set and the decision model to obtain a decision dataset; determining the hunger state of the sheep based on the decision dataset, and feeding the sheep according to the hunger state. This invention predicts physiological characteristic parameters, then determines the hunger state, and finally combines these with the sheep's basic parameters to determine the feeding amount.

The invention discloses a water invasion channel prediction method and device for a dual-medium reservoir water-driven gas reservoir, and belongs to the technical field of gas reservoir description and development. The method comprises the following steps: S1, establishing a dual-medium model by applying well-to-seismic interpretation data and dynamic data; s2, calculating a crack equivalent permeability model and a matrix permeability model; s3, carrying out gridding description on the heterogeneity characterization parameters of the matrix and the crack; s4, describing the heterogeneity degree between the geologic characteristic parameter grids of the matrix and the fracture; s5, calculating an average probability attribute body of the matrix and the crack; and S6, fusing the average probability attribute bodies of the matrix and the crack into a water invasion channel distribution model. According to the method, the water invasion channel in the gas reservoir range can be accurately predicted, the influence of human factors is reduced, the geometrical morphology and the spatial configuration relation of the water invasion channel are described, and visual, fine, high-calculation-efficiency and comprehensive evaluation parameter prediction of the double-medium reservoir water invasion channel is achieved.

The present invention discloses a new method for directly and accurately determining the threshold of flood events based on percentiles, which relates to the field of flood monitoring in land water storage inversion technology, and solves the problem that the existing methods cannot directly and accurately determine the MFPI threshold. The key points of its technical solution specifically include the following steps: calculating the GRACE terrestrial water storage anomaly data TWSA by using the spherical harmonic coefficients SHCs of the earth's gravity field obtained by the Gravity Recovery and Climate Experiment GRACE satellite; reading precipitation data, and constructing a modified flood potential index MFPI by using precipitation and detrended terrestrial water storage anomaly data TWSA<subgt;detrend< / subgt>. The effect is that the new method proposed in this study directly and accurately determines the MFPI threshold based on the percentile method. This method avoids the influence brought by human factors and step complexity in the traditional method, and effectively improves the accuracy of flood event monitoring.

The invention discloses a method and a device for identifying risks caused by human activities to a natural reserve. The method comprises the following steps: selecting a plurality of grids from all grids corresponding to the natural reserve as to-be-checked grids based on a remote sensing image; determining population time sequence data of each to-be-checked grid based on the mobile phone signaling data corresponding to each to-be-checked grid, determining all human activity types corresponding to each to-be-checked grid based on the population time sequence data of each to-be-checked grid, and determining development trends of various human activity types corresponding to each to-be-checked grid; and determining that the reason that the land coverage type change pattern spot area of each to-be-checked grid exceeds a preset threshold value is a natural factor or a human factor. The method is high in accuracy and efficiency.

The invention relates to satellite gravity mechanics and hydrology, in particular to a drought monitoring method based on a sky scale drought index, which can effectively improve the drought monitoring accuracy, and is characterized by comprising the following steps: acquiring continuous high time resolution TWSA by adopting two methods; one method comprises the following steps: constructing a time downscaling model based on a statistical method, and reconstructing a high-precision daily TWSA by taking nearly real-time rainfall and temperature as driving data and combining a time sequence decomposition method; according to the other method, hydrological load deformation data of the GNSS and an MATLAB open source tool GNSS2TWS are used for deducing daily variation of the TWSA, and for the obtained two daily TWSAs, a sky scale data set is used for carrying out quality evaluation; constructing a day-by-day drought index DSI based on RECTWSA, and evaluating and comparing the DSI with other day-scale and monthly-scale drought index data sets so as to monitor drought time-space evolution; and the influence of climate and human factors on the TWSA of the Yellow River basin is separated according to the climate-driven water reserve anomaly model.