172 results about "Environmental preservation" patented technology

The invention relates to the technical field of ecological environment protection, in particular to an ecological environment damage intelligent identification management method based on multi-source data fusion, which comprises the steps of data acquisition and preprocessing, data fusion and feature extraction, ecological environment damage evaluation model construction, damage dynamic analysis and trend prediction, restoration suggestion generation and visual display. The method comprises the following steps: collecting water quality, atmosphere, biological and social economic data in real time through a sensor network deployed in an ecological sensitive area, preprocessing the data, extracting key features by adopting a multi-modal data fusion technology and a deep learning model, and constructing an ecological damage assessment model; the change rule of ecological damage and the potential high-risk area are predicted based on a time sequence analysis method, and an optimal ecological restoration scheme is generated in combination with a particle swarm optimization algorithm. According to the method, the evaluation result and the restoration suggestion are displayed through the visual interface, a scientific basis is provided for decision makers, and the efficiency and the effect of ecological environment restoration work can be improved.

The invention relates to the technical field of ecological environment protection, in particular to an ecological protection red line division method applied to ecological basic investigation, which comprises the following steps: evaluating the service function and stability of an ecological unit through ecological basic data collection and processing in combination with an ecological model, and further delimiting an ecological protection red line area. The boundary of the red line area is optimized through space overlay analysis and conflict analysis of the current land utilization situation, and real-time adjustment is carried out based on ecological risk assessment and a dynamic monitoring mechanism. In combination with deep learning and reinforcement learning algorithms, dynamic monitoring and flexible adjustment of the red line area are realized, continuity and safety of an ecological system are guaranteed, intelligent management of the ecological protection red line is realized through a GIS technology and an early warning mechanism, scientificity and effectiveness of the ecological protection red line area are ensured, and the ecological protection red line area management method and system are suitable for popularization and application. And a reliable guarantee is provided for long-term stable development of an ecological system.

The invention discloses a forest land ecosystem health assessment system, and belongs to the technical field of environmental protection. Comprising the following modules: an intelligent sensing module for realizing omnibearing and high-resolution monitoring of the forest land ecological environment; the feature extraction module automatically extracts, standardizes and dynamically corrects the multi-dimensional features of the ecological system, and constructs a unified ecological index mapping model; the coupling analysis module is used for accurately identifying structural evolution characteristics and key conversion nodes of the ecological system; the health assessment module is used for constructing a dynamic self-adaptive ecological health assessment model, assessing the overall health state of the system and simulating the vulnerability and potential risk of the ecological system under different climate change scenes; the decision and visualization module is used for realizing efficient intelligent interaction and multi-scene decision analysis of ecological big data; and the restoration and regulation and control module intelligently generates a restoration path and an intervention strategy based on ecological risk assessment so as to improve the restoration capability and toughness of the ecological system.

The invention relates to the technical field of geological ecological monitoring, in particular to a geological ecological monitoring system and method. The method comprises the following steps: acquiring a topographic map of a monitoring area; performing real-time data acquisition by using a sensor network according to the topographic map of the monitored area, and constructing a rock-soil physical characteristic matrix to obtain the rock-soil physical characteristic matrix; performing rock-soil mechanical response spectrum construction according to the rock-soil physical characteristic matrix to obtain a rock-soil mechanical response spectrum; according to the monitored area topographic map, point cloud data processing is utilized to construct a side slope geometric model, and a side slope three-dimensional geometric model is obtained; performing unit stress analysis according to the three-dimensional geometric model of the side slope to obtain unit stress data; and performing strength reduction calculation according to the unit stress data to obtain a reduction strength parameter. The geological ecological system is comprehensively, dynamically and systematically monitored and evaluated, so that geological disaster prevention and control and ecological environment protection are better served.

The invention provides a natural resource dynamic monitoring method and system based on multi-source data fusion, a medium and equipment. The method comprises the following steps: acquiring satellite remote sensing data, aerial remote sensing data and ground monitoring data; performing data fusion on the satellite remote sensing data and the aerial remote sensing data to obtain fused data; integrating the fusion data with the ground monitoring data to obtain comprehensive monitoring data; performing terrain classification on the comprehensive monitoring data based on deep learning to obtain terrain classification results including cultivated land, construction land, water, forest land and grassland; and optimizing the ground feature classification result based on a space-time logic consistency algorithm to obtain an optimized classification result and ground feature change information. According to the method, through fusion of the multi-source data and classification optimization of the natural resources, in combination with deep learning and a spatial-temporal logic consistency algorithm, dynamic monitoring of the natural resources is realized, the monitoring precision is improved, and reliable data support is provided for natural resource management and environmental protection.

The invention relates to the technical field of ecosystem services, and provides a water-soil-carbon three-item ecosystem service comprehensive index accounting method, which couples ecosystem service evaluation and landscape feature scale analysis, performs quantitative evaluation on regional water-soil-carbon three-item ecosystem services from grid-grid double scales, and on the basis, performs quantitative evaluation on the regional water-soil-carbon three-item ecosystem services. A multi-attribute decision CoCoSo model is adopted to obtain comprehensive evaluation indexes of water-soil-carbon ecological system services, and the comprehensive evaluation indexes are graded and partitioned, so that theoretical basis and technical support are provided for regional ecological environment protection and restoration. According to the method, the water-soil-carbon ecological system service comprehensive index can be better calculated.

The invention discloses an ecological flow guarantee method based on runoff prediction and supply. Meteorological, hydrological and other data of the Tongkeng river basin are collected, an SWAT model is constructed and verified to simulate runoff, and extended rainfall is analyzed based on an R / S method and a wavelet method. And constructing a surface water and underground water coupling model, and predicting underground water volume, water level and water quality. And ecological flow safeguard measures are formulated after water resource supply and demand balance analysis, wherein the ecological flow safeguard measures comprise optimal allocation of water resources, enhanced management, ecological water supplementation, water environment treatment, ecological restoration project development and the like. The method has the advantages that measure implementation subjects and progresses are defined, monitoring system evaluation effects are established, adjustment and optimization are performed according to results, ecological flow is guaranteed, sustainable utilization of drainage basin water resources and ecological environment protection are realized, remarkable social, economic and environmental benefits are achieved, and a scientific and effective method is provided for water resource management.

The invention discloses a black soil area ecological stability-restoring force coupling zoning method and system, and relates to the technical field of ecological environment protection. Collecting multi-source spatio-temporal data of a target black soil area, and analyzing and obtaining the ecological stability and ecological restorability of the area; according to the spatial heterogeneity of the ecological stability and the restoring force, spatial difference characteristics of ecological variables in different geographic units are mined, and spatial coupling analysis is carried out on the ecological stability and the ecological restoring force through restoring force prediction; and according to a coupling analysis result, performing ecological stability-restoring force coupling partition management on the target black soil area. According to the invention, space identification and differentiation management of the ecological system state of the black soil area are realized.

The invention discloses a power grid tower footing area vegetation restoration method based on biological source humic acid and application of the power grid tower footing area vegetation restoration method, and belongs to the technical field of ecological restoration and soil treatment. The technology aims at solving the problems of soil erosion and loss caused by environmental disturbance conditions such as vegetation damage in power grid construction, and the technical scheme mainly comprises the steps of adopting a soil improvement technology based on HFA or combining the HFA with other bio-fertilizers for use, and configuring a formula for plants suitable for planting and a vegetation management strategy. The method mainly comprises the following steps: measuring various physical and chemical factors of a soil sample around a tower footing, comparing the physical and chemical factors with an average (normal) value of local soil, and formulating the HFA use amount and concentration according to the results; investigating site conditions such as local weather, terrain, soil properties and the like, native plants and suitable plants, and formulating a plant planting formula and a comprehensive vegetation management scheme capable of iteratively growing in different seasons. According to the method, the vegetation restoration speed and environmental protection are both considered, and vegetation restoration and ecological environment improvement can be rapidly achieved.

The invention relates to the technical field of ecological environment monitoring, in particular to an ecological environment quality monitoring and early warning method, a product, equipment and a medium. The method comprises the steps of performing correlation analysis on historical environment data and historical influence factor data, and determining influence factor data with strong correlation in each environment index in the historical environment data; establishing a multi-output regression model; obtaining current influence factor data, performing prediction based on the current influence factor data to obtain predicted influence factor data, and inputting the predicted influence factor data into the multi-output regression model to obtain predicted environment data; and analyzing and predicting standard-exceeding environment indexes in the environment data, performing early warning on the standard-exceeding environment indexes, generating an influence factor list corresponding to the standard-exceeding environment indexes, and determining rectification measures based on the influence factor list. According to the invention, timely early warning and rectification guidance can be carried out on the condition that the ecological environment indexes exceed the standard, and scientific and effective decision support can be provided for environmental protection and treatment.

The invention belongs to the technical field of power transmission and transformation project construction, and provides an ecological environment protection method and system for a power transmission and transformation project, which can construct a frequency portrait of a bird flapping behavior in real time by fusing multiple technical means such as high-frame-rate visual perception, target tracking, individual flapping frequency extraction and frequency domain behavior modeling. The operation state of the rotating device is adaptively adjusted according to a frequency interference similarity principle, so that high-frequency phase dislocation disturbance with the most interference effect is triggered at the moment when birds enter a key critical area, the flight rhythm and the path recognition capability of the birds are effectively damaged, and the birds are promoted to deviate from a flight path of a power transmission equipment area; birds can be prevented from approaching a lead area in time, and the risks of short-circuit tripping, biological casualties and other events caused by the fact that the birds strike the lead are remarkably reduced.

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

The invention discloses a sustainable luring ecological floating island system which is characterized in that fish schools in an open type water area are induced to enter a water area where an ecological floating island is located through planned enhancement releasing feeding and going out, and the fish schools in the water area where the ecological floating island is located are captured through a fishing device and put into a besieging space. The method can ensure that the species and number of aquatic organisms in an ecological floating island ecological system are kept relatively stable within a certain time, conforms to the development concept of sustainable fishery, can enable fishing and fishing pleasure and ecological environment protection to cooperatively develop, can ensure that the fishing and fishing pleasure can be continuously and healthily carried out for a long time, and has a wide application prospect. Therefore, a sustainable and stable fishing place is provided for fishing enthusiasts through a sustainable inducing and breeding combined mode, and meanwhile protection and recovery of a water area ecological system are considered; the invention further discloses a sustainable fishing method of the sustainable luring ecological floating island system, and by means of a sustainable luring combination mode of the ecological floating island system, catching and fishing activities can be continuously carried out.

The invention discloses a Pandoraea sp. Capable of efficiently degrading aureomycin and application of the Pandoraea sp. The strain is a strain FJNUIM-SW2, the classification name of the strain is Pandoraea nomenusa, the strain is preserved in China General Microbiological Culture Collection Center (CGMCC), the preservation time is October 17, 2024, the preservation number is CGMCC NO.32242, and the preservation address is Institute of Microbiology, Chinese Academy of Sciences, No.3, No.1 Yard, West Beichen Road, Chaoyang District, Beijing. The strain FJNUIM-SW2 can grow by taking aureomycin as the sole carbon source and energy, has a good aureomycin degradation characteristic, can be used for microbial degradation of aureomycin in environments such as aureomycin wastewater and soil, provides microbial resources for bioremediation of aureomycin in the environment, and has potential application value in ecological environment protection.

The invention discloses a wetland system plastic pollution intelligent degradation system based on artificial intelligence driving, and relates to the field of ecological environment protection and artificial intelligence fusion. The problems that an existing wetland system lacks real-time monitoring and predicting capacity for the migration behavior of the micro-plastics, the combination of a microbiological degradation technology and the wetland system is not tight enough, and efficient degradation of the micro-plastics is difficult to achieve are solved. According to the system, an AI behavior path prediction model is adopted to predict a micro-plastic migration track and a micro-plastic distribution probability corresponding to the migration track, a structure optimization subsystem is utilized to optimize wetland structure parameters and filler distribution, and a directional domestication microorganism technology is combined to enhance the degradation capacity. The method is mainly applied to micro-plastic degradation of a wetland system.

The invention discloses a method for cooperatively carrying out dredging and ecological protection in a near-shore sensitive area, belongs to the technical field of port and channel engineering desilting, and aims to solve the technical problem that construction efficiency and ecological environment protection are difficult to consider when dredging operation is carried out in the near-shore sensitive area. Comprising an operation system of at least one dredging sub-ship, a path is planned through underwater topographic survey, the sub-ship is fixed through a gauge pile system, a multi-joint hinged arm with a cover type cutter suction head is lowered to be attached to a mud bed, sludge is liquefied through a high-pressure water system, and slurry is conveyed through a sand pump set; the slurry concentration and the turbidity of a surrounding water area are respectively monitored through an inner turbidity sensor and an outer turbidity sensor, and closed-loop feedback control is formed to dynamically adjust the power of a sand pump, the pressure of high-pressure water and the speed of a hinged arm; and meanwhile, in the dredging process, an ecological base material containing a biological agent is sprayed to the bare seabed through an ecological base material spray head, and dredging and ecological restoration are synchronously carried out. The method is mainly used for dredging construction and ecological protection of near-shore sensitive water areas.

The invention discloses a stable and suitable coordination method for watershed mountain water, forest field, lake grass and sand, and relates to the technical field of ecological environment protection and governance, and the method comprises the following steps: 1, collecting watershed ecological background data, and constructing an ecological hydrological database; 2, constructing a landscape pattern-ecological system coupling model according to the ecological hydrological database, and carrying out ecological function partitioning; 3, constructing a comprehensive coupling relation framework in the drainage basin according to the ecological function partition, and identifying a key ecological hydrological problem; 4, constructing a nonlinear-multi-target dynamic planning model according to the key ecological hydrological problem; 5, solving the nonlinear-multi-target dynamic programming model to obtain a parameter optimal solution; and 6, constructing a coordination strategy according to the optimal solution of the parameters. The method comprises the following steps: establishing a drainage basin ecosystem collaborative regulation model by taking collaborative optimization of a drainage basin ecological hydrological function as a core target, determining optimal parameters by optimizing the model, and formulating a coordination strategy.

The invention relates to the related field of ecological environment protection, in particular to a high-phreatic-water-level secondary wetland landscape construction method, which constructs a wetland system with complete ecological functions by reasonably selecting wetland vegetation and introducing a proper amount of aquatic animals and microorganisms. The system has the functions of water purification, nutrition circulation, biodiversity maintenance and the like. Landscape design is combined with the natural form of the wetland, facilities such as a footpath, a viewing platform and an ecological plank road are arranged, and the ornamental value and the ecological education function of the wetland are improved. According to the method, the ecological stability and sustainability of the wetland are enhanced, a place for entertainment and ecological tourism is provided for the public, the balance of ecological protection and humanistic utilization is realized, and the method has remarkable environmental benefits, economic benefits and social benefits.

The invention belongs to the technical field of ecological restoration and environmental protection, and provides a plant system-based three-dimensional desertification control method, which comprises the following steps of S1, collecting geographical, climate, soil and vegetation data of a desertification area, and evaluating and analyzing the desertification area by using a remote sensing technology; s2, establishing a three-dimensional planting mode of combining arbor, shrub and grass, and forming a multi-layer vegetation structure; s3, soil improvement is performed on the desertification area, and an ecological monitoring system is constructed; s4, constructing a reservoir and a water cellar facility, and performing water resource management; s5, performing forbidding protection on the desertification area; s6, dynamically monitoring the desertification area, and evaluating the desertification control effect according to the monitoring result; the overall survival rate of vegetation is increased through a vegetation three-dimensional planting mode, the ecological diversity is increased, the stability and resistance of an ecological system are improved, and effective prevention and treatment of desertification and comprehensive recovery of the ecological system are achieved.

The invention discloses a natural resource dynamic monitoring-oriented unmanned aerial vehicle remote sensing Gaussian splashing change detection method, particularly relates to the field of natural resource monitoring, and aims to solve the problem that natural evolution and man-made interference are difficult to distinguish. Separating natural and artificial change characteristics by combining time axis gradient analysis, predicting a density field in a non-interference state by using a low-frequency gradient component, accurately positioning an artificial interference area through multi-scale difference fusion and dynamic threshold setting, and finally constructing a causal reasoning network to reveal an interference source and a propagation path; meanwhile, by fusing geographic space data and historical activity information, causal association analysis of interference events is realized, a targeted basis is provided for ecological protection decision, timeliness of natural resource supervision is effectively improved, and efficient support is provided for resource management and environmental protection.

The invention discloses a lake and bay habitat maintenance method based on hierarchical calculation, and relates to the technical field of water ecological environment protection and ecological restoration, the effective water body volume of a lake is accurately calculated by combining terrain scanning with a partition weighted correction formula, and the volume estimation deviation of a traditional method is avoided; on the basis, the existing biomass of the plankton is subjected to layered correction, and the estimation precision of the primary productivity of the lake is improved, so that a scientific basis is provided for the proliferation capacity of filter-feeding fishes. Through water level and water quality dynamic correction and in combination with submerged vegetation population structure regulation and control, vegetation degradation caused by excessive ingestion of fishes can be effectively avoided. Further introducing batch stocking of the snails and the shellfish, constructing a closed-loop mechanism of snail ingestion-plankton reproduction-shellfish filter feeding-fish utilization-vegetation restoration, finally forming a fish, shellfish, snails and grass synergistic ecological balance system, and realizing long-term stable maintenance of the lake and bay habitat.

The invention relates to the technical field of data processing, in particular to an intelligent ecological environment partition management and control system and method, and the system comprises an ecological environment data collection module, an ecological environment quality evaluation module, an ecological environment management and control module and an ecological system database. According to the intelligent ecological environment zoning management and control system and method provided by the invention, the environment pollution degree evaluation index, the natural resource utilization efficiency evaluation index and the ecological system service quality evaluation index of each environment control area are comprehensively analyzed, and the comprehensive analysis method not only can comprehensively evaluate the regional ecological environment quality, but also can comprehensively evaluate the ecological environment quality. And standardization of ecological environment quality evaluation is also realized, and objectivity and consistency of evaluation results are ensured. By comparing different indexes, main problems and weak links influencing the regional ecological environment quality can be identified, and a basis is provided for formulating a targeted environmental protection strategy. And sustainable development of the region can be realized.

The invention discloses a construction method of a flat pilot tunnel in a karst landform super-large section tunnel chamber. The construction method comprises the following steps: 1) geological investigation before construction; 2) advanced geological forecast; (3) a flat pilot tunnel is excavated; (4) primary supporting is conducted; (5) treating a karst cave and a karst cavity; (6) water prevention and drainage measures are taken; (7) monitoring and measuring; and 8) ecological restoration. The method has the following technical advantages that 1, disasters such as collapse, water bursting and mud bursting in the construction process are effectively avoided through detailed geological survey, advanced geological forecast and a reasonable construction scheme, and the safety of constructors and equipment is guaranteed; 2, a proper excavation method and supporting measures are adopted, the construction process is optimized, the construction period is shortened, and the construction efficiency is improved; loss caused by geological disasters and improper construction is reduced, and engineering investment is saved; ecological restoration is emphasized, damage of construction to the surrounding environment is reduced, and coordinated development of engineering construction and environmental protection is achieved.

This invention discloses an ecological scheduling method and its application based on fish reproductive needs, belonging to the field of environmental protection technology in water conservancy and hydropower engineering. This invention specifically addresses the challenge of protecting fish that lay adhesive eggs. By establishing a population reproductive characteristic adaptation domain model (Ω(pi)), it quantifies for the first time the dynamic response relationship between water level fluctuations (proximal factor) and water temperature and flow velocity (terminal factor), breaking through the limitations of traditional ecological scheduling that only focuses on a single hydrological indicator. It achieves multi-objective collaborative optimization, balancing engineering needs such as flood control, power generation, and water supply with ecological protection through a dynamic adjustment model of ΔH(t). Through proximal factor monitoring and terminal factor feedback, it corrects the water level adjustment ΔH(t) in real time, improving the response speed compared to traditional methods. Furthermore, by dividing the control period according to the key processes of the fish life history, the water level fluctuation limit during the spawning period is more precise, providing an innovative technical method for ecological scheduling in water conservancy projects.

The invention discloses a watershed ditch and pond-road low-cost ecological sand control method based on hydrological connectivity, which belongs to the field of ecological environment protection and mainly comprises the steps of data acquisition, DEM data correction, confluence network construction, hydrological structure connectivity identification, SWAT model construction, key source area identification, scene analysis and cost benefit analysis. Under the influence of a ditch pond-road system, the key source area identification technology based on hydrological structure connectivity and the drainage basin key source area ditch pond road low-cost water regulation and soil conservation method achieve the dual purposes of reducing the water and soil regulation and control cost and continuously improving the ecological benefit by identifying the key source area.

The invention relates to the technical field of ecological environment protection, in particular to a multi-dimensional evaluation method for a connectivity function of a land directed ecological network, which comprises the following steps: collecting species distribution data and environment variable data of a target area to measure land inhabitation suitability; screening land habitat plaques of the target area according to the land habitat suitability; identifying a species migration corridor according to the land region species migration resistance surface and the land region habitat plaque; establishing a land directed ecological network according to the land habitat plaques and the species migration galleries; an improved multi-centrality algorithm is adopted to measure the directed degree centrality, the directed adjacent centrality and the directed intermediary centrality of the directed ecological network, and then the ecological node comprehensive centrality and the ecological connection edge comprehensive centrality of the land area directed ecological network are evaluated. Therefore, the problem that the importance of each component of the ecological network has an omission risk due to the fact that the existing connectivity assessment based on the undirected ecological network does not consider the interaction demand of the ecological flow is solved.

The invention relates to the technical field of ecological environment protection and restoration, and provides a karst area lakeside wetland vegetation pollution reduction and carbon sequestration method, and a vegetation combination comprises Acorus calamus (Acorus calamus), Nymphaea tetragona (Nymphaea tetragona (Nymphaea tetragona) and Myriophyllum sphaeroides (Myriophyllum sphaeroides). According to the vegetation combination, special environmental conditions of the karst area are fully considered, the carbon sink capacity of the lakeside wetland of the karst area can be effectively improved, water pollution is reduced, and the dual effects of pollution reduction and carbon sequestration are achieved; and the planting success rate of the aquatic plants in the karst lakeside wetland can be increased, the pollution reduction and carbon sequestration capabilities of the aquatic plants are enhanced, the restoration and stability of the ecological system of the karst lakeside wetland are promoted, and technical support is provided for the karst aquatic ecological system to cope with climate change, water pollution control and carbon sequestration and sink increase.

The invention relates to the technical field of marine environmental protection, and particularly discloses a high-latitude estuary and bay water quality evaluation and pollutant reduction method, which comprises the following steps: acquiring actual measurement data of a research area; constructing a three-dimensional ecological hydrodynamic numerical model covering the research area, and calibrating and verifying the model; obtaining spatial and temporal distribution characteristics of hydrodynamic force and pollutants of the research area in the past one year under the current condition; evaluating the water quality condition of the research area after emission reduction through a WQI method, and analyzing the influence of the reduction of pollutants on the change of ecological parameters of the research area under different reduction schemes; evaluating the ecological condition in the research area after different reduction schemes are implemented by referring to the actual condition of the research area; and selecting an optimal pollutant reduction scheme according to simulation results under different reduction schemes. The method overcomes the defect that the traditional method neglects the influence of the freezing period, and can more accurately reflect the influence of the freezing period on water quality, ecological conditions and pollutant diffusion.

The invention discloses a regulation and control method and system based on water and soil loss data, and relates to the technical field of ecological environment protection. According to the main technical scheme, a to-be-detected vegetation group is screened according to stability data of the to-be-detected vegetation group in different water and soil loss areas. The influence of the diversity of the vegetation varieties in the to-be-detected vegetation group on the adaptive capacity of individual vegetation types in a mixed planting mode is effectively reduced. And screening the to-be-detected vegetation groups according to the vegetation coverage rates of the target vegetation groups under different seeding data. The water and soil conservation effect of the variety diversity change of the vegetation in the to-be-planted quilt group is effectively ensured. And after the vegetation variety suitable for growing in the target area in the to-be-planted quilt group is planted in the target area, screening the to-be-planted quilt group according to the water and soil loss data prediction value of the target area. The maximization of the water and soil conservation effect of the target area is effectively ensured. And meanwhile, the influence of vegetation diversity change on the environmental resilience of the water and soil loss area is effectively reduced.

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.