706 results about "Ecosystem" patented technology

The invention discloses a multi-source remote sensing ecological production environment assessment system, and belongs to the field of ecological environment assessment. The system is composed of a data acquisition module, a data processing and fusion module, a generative artificial intelligence core engine, an ecological evaluation and decision support module and a user interaction interface, and all the modules are connected with one another, so that the overall function of the system is realized. According to the method, through a'representation-cognition-semantics' three-layer fusion architecture, the system can surpass traditional data piling, deep integration is carried out on multi-source information from bottom-layer features and spatial relationships to high-layer semantics, so that a complex interaction mechanism among ecological elements is more accurately understood and described, and the system is more efficient and efficient. And the overall cognitive ability and evaluation accuracy of the complex ecological system are remarkably improved. The system is based on a generative artificial intelligence core engine, not only can analyze the current situation, but also can simulate future scene evolution under different ecological management strategies.

The invention relates to the technical field of regional ecological risk assessment and space management and control, in particular to a regional ecological risk assessment and partitioning method based on a multi-system spatio-temporal dynamic relationship, which comprises the following steps: collecting and preprocessing multi-source spatio-temporal data; a natural ecological risk index and a human social risk index are fused, and a comprehensive ecological risk assessment model based on a social-ecological system is constructed; divariate spatial autocorrelation analysis and cold and hot spot analysis are adopted, and a region is divided into three-level subareas including a management and control area, a monitoring area and a prevention area and six types of subareas; and analyzing the partition dominant driving factor by using the optimal parameter geographic detector, and generating a differentiated control strategy. The method realizes quantitative coupling of natural ecology and human social system risk spatio-temporal dynamic relationships, solves the problems of strong subjectivity, insufficient system comprehensiveness and lack of dynamic association mechanisms of a traditional method through multi-dimensional index fusion and spatial analysis technologies, and provides systematic technical support for accurate management of regional ecological risks.

The invention provides a wetland ecosystem health evaluation method based on multi-source remote sensing data, and belongs to the technical field of wetland ecosystems, and the method comprises the steps: carrying out the dense dark pixel and Kalman filtering cooperative atmospheric correction of a multi-spectral remote sensing image to obtain a surface reflectance image, and achieving the precise segmentation of a wetland landscape through a graph cut theory, a spectral unmixing model based on an improved Gaussian kernel is utilized to embed physical constraints to invert water quality parameters, a laser radar canopy height priori constraint three-dimensional radiation transmission model is combined to invert vegetation parameters, and a mixed pixel decomposition result is optimized through a Markov random field. A water quality, vegetation and landscape three-dimensional comprehensive health evaluation system is constructed, degradation dominant factors are identified, and the technical problem that it is difficult for multi-source remote sensing data to cooperatively invert wetland ecosystem multi-dimensional health state parameters is solved.

The invention discloses a network toughness prediction method, system and device based on digital twinning, and relates to the technical field of ecological monitoring and network toughness modeling. The network toughness prediction method, system and device based on digital twinning comprises the following steps: S1, collecting multiple types of ecological monitoring data through ecological monitoring equipment, and carrying out standardized preprocessing on the ecological monitoring data; s2, the modeling difficulty of each piece of ecological data is comprehensively evaluated, and automatic screening and grading processing of data quality are achieved; s3, performing state synchronous evaluation on the to-be-modeled data, and dynamically updating the operation state of the corresponding ecological entity in the digital twin based on a state evaluation result; and S4, identifying key fragile nodes and risk paths in each ecological entity, and outputting corresponding ecological risk levels and regulation and control suggestions. The problem that in the prior art, static threshold risk judgment is carried out only based on a small amount of observation data, and multi-source isomerism and dynamic evolution characteristics existing in an ecological system cannot be effectively handled is solved.

The utility model provides a submerged plant diversity restoration biological window which is provided with a frame structure and a supporting structure, the supporting structure is arranged on one side or two sides of the frame structure, the frame structure is provided with a through containing cavity, and one or more submerged plants are planted in the containing cavity of the frame structure. A plurality of biological windows are arranged in a combined gathering manner or are detachably removed to form a repairable submerged plant group. According to the method, an economical and efficient engineering technology path can be provided for restoration of diversity of submerged plants in the damaged aquatic ecosystem and optimization construction of the healthy aquatic ecosystem, and the method has important significance on restoration of health of the aquatic ecosystem and improvement of water environment quality.

The invention relates to the technical field of green prevention and treatment of dendroctonus valerieus, in particular to a dendroctonus valerieus repellent as well as a preparation method and application thereof. The repelling component comprises fenchone. The fenchone is found to have an obvious repelling effect on the dendroctonus resurus, and meanwhile, the fenchone can be used as a repellent for the dendroctonus resurus, and the dendroctonus resurus can be repelled in production to protect an ecological system of a pine forest. The repellent has the advantages of good repelling effect, stability, environmental friendliness and wide industrialization prospect.

The invention discloses a water conservancy project ecological construction method and system based on artificial intelligence, and relates to the technical field of ecological system simulation, and the method comprises the steps: collecting historical ecological event data of each region of a water conservancy project, analyzing the causal association between events based on an artificial intelligence model, and calculating and dynamically updating the association degree index between any two regions; constructing a regional association network based on the association degree indexes, calculating core scores of nodes in the network to identify a core region, and dynamically improving the monitoring sampling frequency of ecological data for the core region; and when an abnormal state is monitored in a single region, predicting the abnormal risk probability of other regions, and generating and recommending an optimal coping plan. Compared with the prior art, the method has the advantages that by constructing a dynamic regional correlation analysis system, the mutual influence between ecological regions is quantified, the monitoring resources are distributed uniformly to be intelligently and optimally configured based on the network core degree, and the monitoring efficiency and the capturing capacity of key information are remarkably improved.

A system for real-time certification and lifecycle automation of environmental credits. The system comprises: (i) a physical data collection layer equipped with on-land sensors, aerial LiDAR, satellite imagery, environmental DNA (eDNA) sampling, and community-contributed field data; (ii) an Ecological Oracle Engine, which uses an AI protocol to validate, classify, and interpret multi-source ecological data, supported by an adaptive reference library; and (iii) a smart contract protocol deployed on a blockchain network, configured to autonomously convert verified ecological data into financial instruments by issuing, pricing, transferring, freezing, and retiring tokenized environmental credits. The system performs continuous verification of each credit and includes freezing functionality based on ecological performance. It supports multiple credit types, including but not limited to carbon, biodiversity, and water credits. The system may be integrated with external modules for integrates with a Digital Twin of Nature and Web3 ecosystems, including decentralized marketplaces, ReFi platforms, and DAO mechanisms.

The invention relates to a soil microorganism recovery index processing method and system and electronic equipment. The method comprises the following steps: collecting a soil sample in a gradient sample area, and measuring soil microbiological indexes and soil attributes; taking the soil microorganism indexes as a mother sequence, taking the soil attributes as subsequences, calculating correlation coefficients and correlation degrees between the subsequences and the mother sequence, and determining key soil attributes influencing soil microorganism recovery; determining a weight value of the key soil attribute; based on the numerical values of the key soil attributes in the original ecological reference area and the damaged unrepaired area, combining the weight values of the key soil attributes, and adopting an improved soil restoration index model to calculate and obtain a soil microorganism restoration index; the technical problem that in existing mining area ecological restoration evaluation, an original ecological system is not used as a benchmark, and the soil microorganism restoration degree cannot be quantitatively represented is solved, and the technical effect of achieving objective, comparable and quantifiable accurate evaluation of the soil ecological function restoration degree is achieved.

The invention discloses a grassland desertification intelligent closed-loop management method and system based on multi-source remote sensing, and belongs to the technical field of ecological restoration and intelligent decision making. According to the method, technical breakthrough is realized by constructing an intelligent closed loop of perception, cognition, decision and optimization: firstly, multi-source data are fused to construct a dynamic ecological knowledge graph, and a desertification cause diagnosis report for quantifying the contribution rate of each driving factor is generated based on graph reasoning; calling a governance measure knowledge base to generate a scheme according to a diagnosis result, and optimizing a decision through digital twinborn rehearsal; finally, based on treatment effect feedback, the knowledge base is dynamically optimized through reinforcement learning; the corresponding system comprises a multi-source perception fusion module, an ecological cognitive diagnosis module, a decision rehearsal execution module and a self-learning optimization module. According to the method, the bottleneck of lack of causal diagnosis and system stiffness of a traditional method is overcome, the crossing from passive monitoring to active cognition and from static decision to dynamic self-learning is realized, and an innovative solution is provided for treatment of a degraded ecological system.

The invention discloses bacillus orientalis ZL3 for regulating rhizosphere soil microecosystems of haloxylon ammodendron soil in deserts and promoting the growth of the haloxylon ammodendron soil, particularly relates to a fungicide ZL3 for promoting the growth of haloxylon ammodendron and regulating rhizosphere microbial communities and application of the fungicide ZL3, and belongs to the technical field of microorganisms. According to the bacillus toonensis ZL3 provided by the invention, the conversion of soil nutrients to available nutrients is improved, and the rhizosphere microbial community structure is improved, so that the effect of promoting the growth of haloxylon ammodendron is achieved. When the ZL3 is applied to a haloxylon ammodendron field, the content of soil organic matters, the content of soil quick-acting potassium, the content of available phosphorus and the activity of sucrase are remarkably improved by 37.78%, 11.01%, 49.66% and 67.71% respectively. The plant height is increased by 17.59%, and the root length is increased by 109.45%. Meanwhile, the positive change of microbial communities is regulated and controlled, especially the enrichment of beneficial bacteria, the relative abundance of the prevotella and the vibrio is remarkably increased, and the relative abundance of the burkholderia is remarkably reduced. In general, inoculation of the ZL3 fungicide can promote the growth and development of haloxylon ammodendron by improving the soil fertility and improving the rhizosphere microflora structure.

The invention discloses an ecological restoration dynamic modeling system for a power grid project slash in a high-altitude area of the Tianshan Mountain in Xinjiang, and the system comprises an obtaining module which is used for obtaining historical multi-source heterogeneous ecological data of the power grid project slash in the high-altitude area of the Tianshan Mountain in Xinjiang Mountain, and carrying out the standardization processing of the historical multi-source heterogeneous ecological data to generate an ecological data set; the historical multi-source heterogeneous ecological data comprises climate data, soil data, hydrological data and vegetation data; the model construction module is used for constructing a climate-soil-hydrology-vegetation four-dimensional coupling ecological restoration dynamic prediction model based on the ecological data set; the dynamic simulation module is used for presetting an ecological restoration scene; inputting a preset ecological restoration scene into the four-dimensional coupling ecological restoration dynamic prediction model for dynamic simulation prediction, and when a dynamic simulation prediction result meets requirements, obtaining an ecological restoration dynamic prediction model of the power grid project slash in the high-altitude area of Tianshan Mountain in Xinjiang; and carrying out accurate dynamic simulation and prediction on the ecological system of the project slash, and formulating and adjusting a scientific full-period management and protection scheme.

The present application belongs to the field of ecological restoration technology, and particularly relates to a composite grass planting system, a preparation method and application, and a damaged ecological system restoration method for lake and reservoir drawdown belt steep slope areas. The composite grass planting blanket provided by the present application mainly uses degradable biomass materials as raw materials, and does not form secondary pollution to the environment during use. Meanwhile, the present application can improve the water retention of the composite grass planting blanket through layer structure design, which is beneficial to the growth of vegetation. The composite grass planting blanket provided by the present application has good erosion resistance, and prolongs the service life of the composite grass planting blanket. When the composite grass planting blanket is used to restore the lake and reservoir drawdown belt steep slope area, the lake and reservoir drawdown belt steep slope area is divided into a frequently submerged area, a wind and wave erosion area and a lightly submerged area, and different types of plants are planted in different areas, so as to ensure the survival rate of the plants, reduce water and soil loss, and effectively realize ecological restoration.

The invention discloses an ecological guarantee-oriented ecological flow calculation method adaptability evaluation method, which comprises the following steps of: calculating a river ecological flow according to an ecological flow calculation method, calculating an ecological flow magnitude index and a hydrological rhythm matching degree index according to a river ecological flow process, and constructing an ecological flow damage rate model coupled with ecological constraints; through model solving, a comprehensive evaluation fitness function is constructed, comprehensive evaluation fitness is calculated, and the adaptability of the ecological flow calculation method in ecological guarantee is comprehensively evaluated. The method solves the problem of how to evaluate the adaptability of different ecological flow calculation methods in river ecological guarantee under the current situation that the current ecological flow calculation methods are numerous and the ecological flow calculation results of different methods are different, screening is beneficial to river ecological protection, reasonable distribution and use of water resources in an ecological system can be ensured, and the ecological flow calculation efficiency is improved. And technical support is provided for selecting an ecological flow calculation method for river ecological guarantee and reasonably determining ecological discharge flow constraints.

The invention discloses an intelligent agricultural greenhouse for modern agriculture, and the greenhouse comprises a greenhouse frame which is internally provided with an intelligent inspection mechanism. The mechanism is mainly composed of a pair of sliding rails, an electric sliding block capable of moving on the sliding rails, a first transverse plate connected with the electric sliding block and a loader installed at the lower end of the first transverse plate. And a visual detection mechanism and a targeted spraying mechanism are arranged on the loader. The visual detection mechanism is responsible for collecting image information of crops in the greenhouse, and the targeted spraying mechanism is used for executing precise pesticide application work. The device has the remarkable beneficial effects that precise positioning and local pesticide application can be achieved, and the problems of resource waste and environmental pollution caused by a traditional wide pesticide spraying method are fundamentally avoided. The system can effectively protect the natural control ability of beneficial organisms and ecological systems and reduce the risk of soil hardening and underground water pollution, thereby being beneficial to improving the soil productivity and environmental bearing capacity and finally ensuring the safety and quality of agricultural products.

The invention discloses an intelligent optimization method and system for territorial space planning, and relates to the technical field of territorial space planning, and the method achieves the multi-dimensional coupling calculation between the ecological elasticity of a red line boundary and the internal degradation potential through the construction of a linkage pressure index ORI, comprehensively judges the linkage pressure intensity borne by a space ecological system, and achieves the intelligent optimization of the territorial space planning. And a dynamic response strategy is constructed in combination with a linkage interval threshold. When the linkage pressure index ORI value is higher than a second linkage interval threshold F2, a repair response is automatically triggered; boundary development suppression is carried out when the threshold value is between the linkage interval threshold values; and when the first linkage interval threshold value F1 is lower than the first linkage interval threshold value F1, the original circle layer is kept immovable. The mechanism not only improves the response efficiency and accuracy of planning management decision, but also provides an intelligent adjustment basis with operability for territorial space governance, and ensures effective operation of a full-chain closed-loop ecological regulation and control system from data acquisition, model calculation to strategy execution.

The invention discloses a low-flow-speed river microorganism and aquatic plant cooperated water environment purification method, and belongs to the technical field of water environment purification. According to the invention, the problems of high cost, easy secondary pollution and the like in the prior art are solved, the adjustment strategies generated in S2 and S3 are comprehensively analyzed and optimized through a fusion algorithm, the strategy weight is dynamically adjusted according to the importance and emergency degree of the water quality index, and the comprehensive adjustment strategy is executed by means of a cooperative control platform; the system can quickly respond to the water quality change, can more accurately adjust the putting amount and putting frequency of a microbial agent, and optimizes the working condition of a micropump and the planting configuration of aquatic plants, so that the water quality purification efficiency is remarkably improved, and the river water quality is quickly improved; by optimizing the planting configuration of the aquatic plants and maintaining the efficient root system-biological membrane electroactive symbiotic purification effect, balance and stability of a water body ecological system are promoted, and continuous optimization of the whole purification process is ensured.

The invention discloses a three-dimensional water ecological restoration method based on an ecological system, and the method specifically comprises the following steps: S1, carrying out the construction of a temporary dam for a river channel of a construction area, and carrying out the water ecological operation and water level reduction for the construction area; impurity cleaning is conducted on the river channel area after the water level is lowered; s2, in-situ remediation of the bottom mud: scattering a bottom material modifier in the river channel area after the sundries are cleared to complete the in-situ remediation of the bottom mud; submerged plants are planted; s3, after the submerged plants are planted, an ecological water purification barrier and a biological grid are installed, and water purification is conducted; s4, emergent aquatic plant buffer zone planting, microorganism regulation and control and aquatic animal putting are conducted on the two sides of the river channel, a three-dimensional water ecological restoration network is constructed, and water ecological restoration is completed. Through the synergistic effect of the ecological water purification barrier and the biological grid, rapid and high-strength physical adsorption and microbial degradation of pollutants are achieved, meanwhile, ecological niche is built, and recovery of biological diversity is achieved.

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

The application discloses a kind of land space planning intelligent optimization method and system, it is related to land space planning technical field, the method is realized by the construction of linkage pressure index ORI, realizes the multidimensional coupling calculation between red line boundary ecological elasticity and internal degradation potential, comprehensively judges the linkage pressure intensity that space ecological system bears, and constructs dynamic response strategy in combination with linkage interval threshold value.When the linkage pressure index ORI value is higher than the second linkage interval threshold F2, automatic trigger repair response;It is between linkage interval threshold value, and boundary development is inhibited;Below the first linkage interval threshold F1, maintain the original circle layer unmoved.The mechanism not only improves the response efficiency and accuracy of planning management decision, but also provides intelligent adjustment basis with operability for land space governance, ensures that the whole chain closed-loop ecological regulation system effectively operates from data acquisition, model calculation to strategy execution.

The invention discloses an alpine grassland livestock capacity monitoring and predicting method and system based on climate change. The alpine grassland livestock capacity monitoring and predicting method based on climate change comprises the following steps: 1) modeling data preprocessing: acquiring grassland type data and meteorological factor data, and carrying out space-time mask fusion, year / month scale space-time alignment and dynamic standardization to obtain grassland type standardized data; 2) feature screening and XGBoost modeling: performing feature importance screening and multi-parameter grid search optimization on grassland type standardized data by using a random forest model, and establishing and verifying a model; 3) preprocessing future CMIP6 climate factor data; and (4) predicting the livestock carrying capacity by using the results of the steps (2) and (3). According to the method, the potential influence of the climate change on the alpine grassland ecosystem can be evaluated on the regional scale, the variation trend of the future livestock capacity is accurately predicted, and a scientific basis is provided for formulating pasturing area management, ecological restoration and climate adaptability strategies.

The invention discloses a water ecosystem safety assessment method for cascade reservoir development, and relates to the technical field of water ecology and environment assessment. Comprising the following steps: constructing a water ecosystem safety assessment multi-dimensional index system under cascade reservoir development; acquiring data of the cascade reservoirs and performing standardization processing; determining the initial weight of each index, and dynamically adjusting the weight of each index; calculating a static safety index; calculating a dynamic toughness index; calculating a comprehensive safety index according to the static safety index and the dynamic toughness index; and according to the size of the comprehensive index, determining the safety level of the water ecosystem in cascade reservoir development, establishing an early warning mechanism, and identifying the key influence index. According to the method, ecosystem toughness quantification is incorporated into an evaluation system, the cumulative effect and dynamic change of the cascade reservoir can be reflected, comprehensive and dynamic evaluation of the health condition of the watershed water ecosystem under the influence of the cascade reservoir is realized, and a scientific basis is provided for watershed ecological protection and reservoir ecological scheduling.

The invention discloses an ecological system total production value checking and evaluation method and system based on a large model, and relates to the technical field of ecological value evaluation.The method comprises the steps that an ecological total value checking and evaluation problem input by a user is received, and an LLM-EcoValue model is input for analysis and decision making; generating a decision thinking chain according to the prompt parameters; generating a structured workflow based on a preset accounting process of the total production value of the ecological system; according to the data node and the operation node of the structured workflow, generating a node prompt word of each evaluation operation step; inputting the node cue word into an LLM-EcoValue model, and generating an operation code of an ecological total value evaluation process; the operation codes are assembled to generate an executable program, and the executable program generates a total production value checking and evaluating result. By means of the technical scheme, full-process automation from data input to result display is achieved, and the technical threshold and the implementation cost are greatly reduced.

The invention provides a method for removing and treating harmful vegetation such as spartina alterniflora by using phenological characteristics, and provides a natural-based solution (NbS) by using biological phenological characteristics in combination with actual growth conditions and engineering cases of the spartina alterniflora. On one hand, the control opportunity is accurately butted with the key phenological periods (such as a seedling period, an elongation period, a blooming period and a seed maturation period) of the spartina alterniflora, and on the other hand, the phenological difference between the spartina alterniflora and the reed of the same gramineae which is most likely to be mixed and difficult to distinguish is fully utilized, and the reed which is most fragile, most likely to kill and difficult to distinguish is selected. And intervention is carried out on a time window which has the minimum influence on an ecological system, so that the efficient, environment-friendly and sustainable treatment target is achieved.

The invention relates to the field of ecological environment monitoring technology and ecological value evaluation accounting, in particular to a coastal salt marsh ecosystem climate regulation service material quantity accounting method, which comprises the following steps: S1, based on years of meteorological and ecological investigation monitoring data, extracting a response relationship of temperature and humidity to climate regulation positive utility, and calculating the climate regulation service material quantity of a coastal salt marsh ecosystem; constructing a response curve and dividing an enhancement region, an attenuation region and a reversal region; s2, screening forward contribution time periods according to utility partitions, identifying boundary fluctuation and mutation behaviors, and generating an adjustment utility validity period list; and S3, generating a contribution settlement table and converting the contribution settlement table into energy and matter quantity indexes according to the ecological type and the adjustment effectiveness in the block settlement validity period, and completing the adjustment service matter quantity accounting. According to the invention, through critical zone identification, validity period screening and multi-stage mapping conversion, high-precision, space-time sensitive and energy equivalent accounting of the climate regulation service material quality of the coastal salt marsh ecosystem is realized.

The invention provides a high-resolution forest ecological safety evaluation method, which comprises the following steps: S1, acquiring and preprocessing multi-source high-resolution spatial data; three criterion layers are systematically calculated: 1) sensitivity, including preparation of a climate sensitivity index for quantifying the response intensity of vegetation to climate fluctuation and preparation of a human footprint response index for quantifying the response intensity of vegetation to a plurality of human footprint subclass indexes; 2) exposure degree, wherein a standardized extreme climate exposure index and a human footprint index are integrated; and 3) toughness: evaluating the recovery capability of the forest ecosystem by adopting a first-order time sequence autocorrelation coefficient based on a critical deceleration theory. According to the method, the weight of each index is determined by adopting a subjective and objective weighting method, and a refined forest ecological safety index spatial distribution diagram is generated through a comprehensive evaluation model, so that refined, dynamic and objective evaluation of forest ecological safety is realized, and scientific decision and support are provided for accurate forest management and risk early warning.

The invention relates to a wetland vegetation extraction method and system based on spatial-temporal feature fusion, and belongs to the field of wetland remote sensing intelligent interpretation. The problems that an existing wetland vegetation classification method does not make full use of remote sensing data time sequence features, and the wetland vegetation extraction precision is insufficient are solved. According to the technical scheme, a single optical multi-temporal remote sensing image is used as input, frequency domain decomposition and convolution long and short time memory network modeling long-term phenology and short-term fluctuation are carried out through a time-frequency enhancement time sequence branch, and spectral grouping of a spectral space branch and cavity convolution multi-scale feature extraction are combined; and a cross-domain cross attention fusion module is utilized to realize time sequence spectral space three-dimensional feature deep fusion, and finally a wetland vegetation community classification map is output. On the premise of not depending on multi-source data, the time-frequency enhanced double-branch space-time model is innovatively provided, the multi-temporal remote sensing data time sequence feature self-adaptive extraction capacity can be effectively improved, the classification stability and robustness are improved, and finally the remote sensing monitoring precision of a wetland ecosystem is improved.

The invention belongs to the technical field of ecological restoration, and provides a mountainous river-oriented fish diversified habitat natural shaping restoration method, which comprises the following steps of: determining fishes with a relative important index greater than 5% in a river as target fishes; the habitat factors of the river are screened, the habitat factors with colinearity are divided into a factor group, and only one habitat factor is reserved in each factor group to serve as a representative habitat factor; carrying out modeling on the resource distribution and representative habitat factors of the target fishes by adopting a generalized additive model; screening to obtain a generalized additive model with a minimum akaike information criterion, and determining an optimal habitat factor combination; and determining a restoration scheme according to the habitat factor combination, and adjusting the habitat of the target fish. According to the restoration method, the natural process is simulated to remodel the diversity of the mountain river habitat, the key problems of hydrological connectivity fracture, habitat simplification, engineering and ecological contradiction and the like are solved, and fish population restoration and ecological system self-maintenance are achieved.

The invention relates to the technical field of water ecology toughness evaluation, and discloses a water ecology toughness quantitative evaluation method and device aiming at northern river characteristics, and the method comprises the steps: building a multi-dimensional mapping of a water ecology toughness evaluation dimension and a model based on a DPSIR model; constructing a three-level evaluation index system based on multi-dimensional mapping, and determining the comprehensive weight of each index; and obtaining the actual value of each index of the target river, and carrying out quantitative evaluation on the water ecology toughness of the target river based on a water ecology toughness evaluation grading standard and the comprehensive weight of each index. According to the method, a causal chain is completely described by means of a DPSIR model, typical characteristics such as flow seasonal fluctuation, freezing and ablation alternation and human interference superposition of northern seasonal rivers are comprehensively considered, research is carried out from multiple dimensions, and the ecological current situation, the recovery process and the action mechanism of drainage basin water are mastered based on a three-level evaluation index system; fragile links and key factors in the water ecological system are identified, and quantitative evaluation is carried out on the water ecological toughness.

The present disclosure relates to the technical field of environmental protection, and provides a multi-stage stabilization pond and biological overfall dam combined riverway restoration system and method. The system adopts a combination of an ecological combined multi-stage stabilization pond system and a multi-medium biological overfall dam system to carry out in-situ treatment on riverway water bodies. In the direction of the riverway water flow, the ecological combined multi-stage stabilization pond system is constructed before the multi-medium biological overfall dam system. The ecological combined multi-stage stabilization pond system is used to remove the main pollutants of the riverway water bodies, and the multi-medium biological overfall dam system is used to carry out deep denitrification and phosphorus removal on the riverway water bodies. By using the present disclosure, the riverway water quality indexes such as SS, COD, NH3-N, TN and TP are significantly reduced, the riverway ecosystem is restored, and the requirements of the examination section water quality reaching the standard are met. Meanwhile, the process has the advantages of short construction period, no additional land occupation and low operation cost.