19 results about "Lake ecosystem" patented technology

The application discloses a kind of river and lake health recovery scheme intelligent decision-making method based on progressive ecological restoration theory, belong to environmental management field, this method includes: the target steady state in river and lake ecosystem is decomposed into multiple ecological parameter balance states, and the corresponding response protocol is preset for each ecological parameter balance state, and the collection of all response protocols constitutes ecological response protocol cluster;According to the real-time state of river and lake ecosystem, activate and arrange protocol execution sequence from ecological response protocol cluster, construct flexible failure boundary model for each ecological parameter balance state, and the flexible failure boundary model is a dynamic state envelope;It can be realized by constructing dynamic flexible failure boundary model, combined with disturbance memory energy field, accurately identify resilience challenge events, solve the limitations of fixed repair scheme, effectively adapt to the complex scene of river and lake ecosystem disturbed by climate change, human activities and the like, and improve the anti-interference ability of repair scheme.

The invention discloses a lake water level intelligent regulation and control method and system with greenhouse gas emission reduction as a target, and the method comprises the steps: firstly building a greenhouse gas emission flux prediction model based on multi-source monitoring data of a target lake, and obtaining a greenhouse gas emission flux prediction value of the target lake; the greenhouse gas emission flux prediction model comprises a mathematical model and a machine learning model; and then determining the water level corresponding to the minimum greenhouse gas emission amount as the optimal water level based on the greenhouse gas emission flux predicted value of the target lake, and performing intelligent water level regulation and control on the target lake based on the optimal water level. Multi-dimensional information such as real-time hydrological data, meteorological conditions and lake nutrition states is fused, intelligent regulation and control of the water level are guided, accurate emission reduction of a target lake is achieved, and the intelligent and scientific level of carbon emission management of a lake ecosystem is improved.

The invention discloses a device and method for evaluating influence of human activities on a plateau lake ecosystem, a barrel body is arranged in a semi-buried mode, the input end of an independent pumping system is externally connected with at least one liquid medicine bin, and the output end of the independent pumping system is arranged corresponding to the interior of the barrel body; a test end of the independent ecological monitoring part is arranged corresponding to the interior of the barrel body and is used for monitoring water environment parameters and macroscopic plant states; one end of the common pumping system comprises a plurality of inner end pipelines connected in parallel, and the common ecological monitoring part is arranged at the other end of the common pumping system and used for detecting the microcosmic plant state; according to the device and method for evaluating the influence of human activities on the plateau lake ecosystem, the semi-buried barrel body is combined with the hydrological control module, the plateau lake low-temperature environment and underground heat exchange characteristics are effectively restored, and the influence of human activities on the plateau lake ecosystem is evaluated through cooperative operation of the atmosphere testing part independent ecological monitoring part independent pumping system hydrological control module. The dynamic superposition interference simulation of eutrophication and climate warming is realized, and the limitation of a laboratory microcosmic device is broken through.

The invention relates to the technical field of intelligent management of river and lake ecosystems, and discloses a river and lake health phase space diagnosis, early warning and regulation method fusing digital twinning, and the method comprises the steps: constructing a five-dimensional dynamic health phase space of river and lake health, and generating an elastic health reference trajectory based on a cross-scale coupling mechanism model; acquiring a real state track based on multi-source data fusion, and performing multi-cause traceability diagnosis by calculating a dynamic weight deviation vector between the real state track and an elastic health reference track; based on the high-order dynamic characteristics of the dynamic weight deviation vector, constructing a multi-scale trend evolution matrix and carrying out stability analysis to realize multi-level risk early warning; and based on the dynamic weight deviation vector, calculating a restoring force vector through adaptive PID control, generating a precise regulation and control instruction through robust mapping, and issuing and executing the precise regulation and control instruction. According to the method, the limitation of staticizing, splitting and lagging in the prior art is broken through.

The invention discloses a shallow lake multilayer environment DNA and surface sediment combined sampling method. The method comprises the following steps: S1, acquiring basic geographic information and water physical and chemical parameters of a lake; s2, on the basis of the environment data obtained in the S1, lake layout candidate sampling points are divided; s3, carrying out cleaning treatment on the sampling device; s4, respectively collecting water samples of different water layers of the lake; s5, collecting a lake surface sediment sample, and sealing and storing the lake surface sediment sample and the water sample collected in S4 in different chambers; s6, marking the sealed water sample and sediment sample; and S7, synchronously recording environment parameters and operation logs of the whole sampling process. Compared with the prior art, the shallow lake multilayer environment DNA and surface sediment combined sampling device and the sampling method thereof have the advantages that high-quality combined acquisition of a water body vertical section and a sediment interface eDNA sample is realized, and a reliable sample basis is provided for accurate monitoring of a lake ecosystem.

The invention discloses an intelligent decision-making method for a river and lake health recovery scheme based on a progressive ecological restoration theory, and belongs to the field of environmental governance, and the method comprises the steps: deconstructing a target steady state in a river and lake ecological system into a plurality of ecological parameter equilibrium states, and presetting a corresponding response protocol for each ecological parameter equilibrium state, a set of all response protocols forms an ecological response protocol cluster; according to the real-time state of the river and lake ecosystem, a protocol execution sequence is activated and arranged from the ecological response protocol cluster, an elastic failure boundary model is constructed for each ecological parameter equilibrium state, and the elastic failure boundary model is a dynamic state envelope surface; by constructing the dynamic elastic failure boundary model and combining the disturbance memory energy field to accurately identify the toughness challenge event, the limitation of a fixed restoration scheme is solved, the method is effectively adapted to complex scenes of dynamic interference of climate change, human activity and the like of a river and lake ecosystem, and the anti-interference capability of the restoration scheme is improved.

The application provides a lake restoration method and system based on a UAV. Through the integration of multi-source heterogeneous data such as images, spectra, water temperature, and water quality, the lake ecological condition is comprehensively perceived, and the limitation of traditional monitoring data being single and one-sided is broken. Relying on deep learning and multi-element data analysis algorithm to deeply analyze the data, combined with intelligent decision algorithm to generate customized maintenance decision, the maintenance measures are changed from experience to science and precision. At the same time, the operation mode of the operation UAV and the multi-functional water operation ship is adopted, which takes into account the needs of small-scale, fine operation and large-scale, large-scale operation. The intelligent positioning of the multi-functional water operation ship and the special operation equipment configuration ensure the accurate landing of the maintenance operation, realize the intelligent and efficient operation of the whole process of lake restoration, greatly improve the efficiency and effect of lake restoration, reduce the maintenance cost, and promote the stable recovery of the lake ecological system.

The application discloses a lake ecological trend prediction method and system based on big data analysis, and the method comprises the following steps: according to a standardized data set, a multi-source data integration framework is constructed, the spatial resolution of remote sensing images and the time series data of sensors are subjected to feature extraction and complementary fusion, and a fused comprehensive data set is obtained; the abnormal data points in the comprehensive data set are subjected to weighted correction, and a corrected dynamic data set is obtained; for the environmental change trend in the prediction result, the short-term fluctuation and long-term trend of the lake ecological system are subjected to hierarchical analysis by adopting a sliding window technology, and the time distribution and spatial distribution of key risk points are determined; according to the latest monitoring key area, real-time data of the corresponding area in the multi-source data integration framework are combined to perform local prediction, and a lake ecological trend prediction result is obtained. The application improves the spatio-temporal coverage and prediction accuracy of lake ecological monitoring.

The utility model provides a lake water environment pollution abatement system which comprises a pretreatment unit arranged at a rainwater discharge port, the pretreatment unit is a continuous three-grid type tank body and sequentially comprises a sedimentation tank, a filter tank and an aeration tank, the tank bottoms of the filter tank and the aeration tank are communicated through a sewage discharge steel tank and provided with a stainless steel cover plate, and the sewage discharge steel tank is communicated with the sedimentation tank. A sewage pump is arranged at the bottom of the sedimentation tank; the biological coupling unit comprises two layers of stainless steel module purification frames, the upper layer is provided with a filter material ecological module, the middle layer is provided with a grid type frame body, particle ecological filter materials are filled in the grid type frame body, and submerged plants are planted on the bottom layer; the intelligent monitoring unit comprises water quality on-line monitoring devices and a liquid level sensor, and the water quality on-line monitoring devices are arranged at the water outlet end of the aeration tank and a lake body key node. A stable lake ecological system is constructed, the ecological self-purification capacity of the lake is restored, and COD, TN and TP in the water body are removed. Through continuous water quality monitoring and regular ecological water replenishing, the lake water quality stably reaches the earth surface III-IV water quality for a long time.

The invention discloses a method and device for determining a threshold value of a lake ecosystem in an arid region and electronic equipment, and relates to the technical field of water environment treatment. The method comprises the following steps: based on remote sensing data of a to-be-studied ecosystem, extracting a time sequence matrix comprising a lake area and a multi-dimensional ecological index of the to-be-studied ecosystem; determining a plurality of key ecological indexes based on the time sequence matrix, and constructing a multi-response random forest model; quantizing the driving effect of the lake area on each key ecological index by using a multi-response random forest model, and revealing the nonlinear response relationship between the lake area and each key ecological index; and further based on a nonlinear response relationship, identifying a sensitive response interval of the lake area, and determining a threshold value. According to the method, key response variables and sensitive response intervals can be automatically identified, and the ecological regulation and control precision is improved; a traditional static single-index method is replaced, a dynamic'optimal area point 'can be quantitatively given, and a target value with high operability is provided for actual reservoir regulation and control and ecological water scheduling.

This invention discloses an automated simultaneous measurement system and method for N₂O and N₂ emission rates in lakes, belonging to the technical field of gas emission rate measurement. The method involves acquiring the properties of lake samples and selecting a suitable culture mode, setting experimental parameters based on experimental requirements to form experimental and control groups; constructing a pollution-proof sampling pipeline according to the selected sampling mode, and setting the water bath temperature and headspace gas displacement within the culture vessel based on the culture parameters; controlling the composition and concentration of headspace gas by monitoring the real-time gas pressure and displacement parameters within the culture vessel; after a predetermined culture time, quantitatively collecting gas samples from the culture vessel according to the measurement parameters and transferring them to independent sample vials for measurement. This invention, through its pollution-proof closed-loop design, precise pressure control, and automated, standardized, and collaborative approach, comprehensively upgrades the accuracy, efficiency, and scenario adaptability of lake N₂ emission rate measurement, providing more realistic, reliable, and comparable technical support for nitrogen cycle research in lake ecosystems.

This invention relates to the field of computer technology and discloses a method, apparatus, equipment, and storage medium for evaluating the effectiveness of lake ecological restoration. The evaluation method includes: constructing a lake model based on the state variables of the target lake and restoration measures; adjusting the nutrient load parameters of the lake model until the lake model reaches a steady state, obtaining a bifurcation analysis diagram; determining the first nutrient threshold before restoration and the second nutrient threshold after restoration based on the bifurcation analysis diagram; determining the improvement effect of the lake model's self-purification capacity based on the first and second nutrient thresholds; performing scenario simulations on the lake model under various conditions to obtain simulation results for multiple target scenarios; and evaluating the effectiveness of lake ecological restoration based on the improvement effect of self-purification capacity and the simulation results for multiple target scenarios. This invention evaluates the effectiveness of lake ecological restoration to prevent lake ecosystems from remaining in a long-term eutrophic state.

The embodiment of the invention provides a method for quantitatively evaluating the functional redundancy degree of a phytoplankton community, which is applied to the technical field of environment intelligent regulation and control, and comprises the following steps: establishing a double-layer digital twinborn model composed of a physical twinborn layer and a functional twinborn layer of a target water area; constructing a bidirectional data interaction relationship between the two twin layers; based on community structure data output by the functional twinborn layer and the functional redundancy dynamic sensitivity index Frs, a time sequence prediction model is used for calculating a functional redundancy evolution track; when the prediction result meets a preset ecological safety condition, parallel simulation is carried out on multiple ecological management strategies in the digital twinborn body, and a quantitative evaluation result is obtained; generating an operation instruction according to the evaluation result and sending the operation instruction to ecological engineering equipment for execution; monitoring data returned by the equipment is received to update model parameters, and closed-loop regulation and control are achieved. The diagnosis, prediction and regulation of the function redundancy of the lake ecosystem are realized, and the accuracy and timeliness of eutrophication lake treatment are remarkably improved.

The present application relates to the field of lake water surface extraction, and more particularly to a lake water surface extraction method based on multi-source data fusion and deep feature screening. The method comprises: preprocessing multi-source remote sensing data to eliminate differences between different data sources; designing a 1D-CNN and HRnet-AM feature extraction module to extract spectral features, texture features and shape features from images of different data sources; constructing an adaptive weight quantification module A-WCM to fuse and quantify the weights of multiple features; designing a redundancy elimination module REM to eliminate redundant or irrelevant features; using deep semantic fusion technology to layer by layer fuse and recombine the features extracted by each branch; and constructing a decision tree optimal growth model OGMT to effectively reduce the complexity of the model through optimal path selection and feature screening mechanism. The present application improves the recognition efficiency and accuracy of the lake water surface, and can more reliably capture and analyze the changes of the lake water surface, providing strong support for the management and maintenance of the lake ecosystem.

The application discloses a kind of composite functional microbial inoculant load clay mineral / submerged plant-based biological carbon sequestration materials and preparation method, by certain proportion submerged plant Vallisneria, Ceratophyllum, Potamogeton, clay mineral sepiolite powder, green detritus powder, kaolin powder, aerobic bacteria yeast, lactic acid bacteria, photosynthetic bacteria, denitrifying bacteria, anaerobic bacteria Bacillus, nitrifying bacteria, phosphorus-fixing bacteria, pseudomonas are constituted, steps are as follows: (1) submerged plant biochar precursor preparation;(2) clay mineral modification treatment;(3) carrier preparation;(4) bacteria culture;(5) microbial inoculant load: under natural conditions, microbial inoculant load, after natural air drying, obtain the material;It also relates to the use of the material, promote microbial activity, improve microbial diversity, effectively improve the bottom condition, provide favorable growth environment for the recovery and reconstruction of submerged plant, significantly promote the growth of submerged plant, further increase the carbon input of submerged plant, enhance the ecological carbon sink function of lake ecosystem.

The invention relates to the technical field of artificial lakes, and discloses an artificial lake three-in-one original ecological restoration system which comprises aquatic plants, aquatic animals and net algae biological populations in an artificial lake. The artificial lake is provided with a lake bottom area at the bottom, a revetment area at the periphery and a bank top area at the top; the lakebed area is covered with a backfill soil layer and arranged in an iron wire cage, and the iron wire cage covers the lakebed area and is filled with stones which are wrapped in the backfill soil layer in a scattered mode. The aquatic plants float above the iron wire cage, and root systems are planted in the backfill soil layer; a plurality of pores are formed in the concrete blocks on the revetment area, and an inhabitation cavity is formed; the inhabiting cavities penetrate through the peripheries of the concrete blocks to form a plurality of side openings, the side openings of the adjacent concrete blocks are aligned and communicated, and cross elastic nets are arranged in the inhabiting cavities; a plurality of trees are planted on the bank top area; through the synergistic effect of aquatic plants, aquatic animals and net algae biological populations, the virtuous cycle and sustainable development of an artificial lake ecosystem are realized.

This invention discloses a river and lake health monitoring system based on multi-dimensional data fusion, comprising: a monitoring data preprocessing module for periodically collecting multi-dimensional monitoring data from river and lake sub-regions to generate standardized regional health monitoring data; a river and lake sub-region health assessment module for conducting health assessments based on the standardized regional health monitoring data to generate periodic health assessment results for the river and lake sub-regions; a calculation and analysis module for calculating the health self-repair index of the river and lake sub-regions to achieve regional health change trend analysis and generate health change monitoring data; a health status prediction module for obtaining health status change prediction results for the river and lake sub-regions; and a river and lake health monitoring and restoration module for determining and adjusting health restoration priority schemes for the river and lake sub-regions based on the health status change prediction results. According to the above technical solution, effective technical support can be provided for river and lake management, ensuring the stability and sustainable development of river and lake ecosystems.

The invention provides a water-mud circulation method for improving water quality and promoting resource recycling in agricultural polder, and belongs to the technical field of environmental protection. The water-mud circulation method comprises the following steps: dividing an agricultural polder into an upstream area, a middle area and a downstream area; a constructed wetland is constructed in the upstream area, and plants capable of degrading pesticides and antibiotics, absorbing nutrients and repairing soil are planted in the constructed wetland; crops are planted in the midstream area; a lake wetland is constructed in a downstream area, and a complete lake ecosystem is restored; and the surface sludge of the downstream lake is reversely conveyed into the upstream constructed wetland, and the wetland plants are utilized to absorb and decompose nutrients. By means of the water-mud circulation method, nutrient substances in water and sludge can be remarkably reduced, the purified water can be transferred into a midstream area to serve as living and irrigation water, cyclic utilization of water resources and nutritive salt in an agricultural polder can be achieved, the effluent quality of the polder is purified, and the economic and ecological benefits of the polder are improved.