190 results about "Arid zone" patented technology

The invention provides an intelligent ecological restoration system, method and device for a high and steep slope of a strip mine in an arid region. Comprising a data acquisition layer which realizes real-time acquisition of multi-dimensional environmental data through InSAR satellite remote sensing, a ground sensor network and unmanned aerial vehicle multispectral imaging; the transmission layer adopts LoRa and 5G hybrid networking; the platform layer is used for constructing a slope stability prediction and restoration scheme optimization platform based on a digital twinborn model and a deep learning algorithm; and the application layer is used for remotely controlling the repairing device through a mobile terminal and a Web terminal and monitoring the repairing progress in real time. The problems that a traditional restoration technology is poor in adaptability, low in vegetation survival rate, high in ecological restoration cost, insufficient in monitoring technology application, insufficient in monitoring feedback mechanism, insufficient in intelligence, long in ecological restoration period and the like are solved.

The invention relates to the technical field of ecological protection, and discloses a method for evaluating the stability of an ecological system in an arid region, which comprises the following steps: S1, constructing an index system, S2, performing multi-source remote sensing fusion, S3, performing response modeling on the ecological system, and S4, constructing a stability evaluation matrix in a sensitivity dimension; the method comprises the following steps: S1, constructing four-quadrant stability classification to carry out index weighting, S5, intelligently collecting ground sample points, and then combining an ecological change hot area graph, S6, carrying out model dynamic feedback optimization, and S7, outputting a result and carrying out zoning application, namely dividing a key protection and restoration area and supporting regional ecological safety pattern construction and continuous management. Through fusion of remote sensing data and intelligent acquisition and analysis of ground samples, dynamic updating and real-time monitoring of stability evaluation of the ecological system in the arid region are realized, and the effects of accurately reflecting ecological changes and providing efficient and timely data support for decision makers are obtained.

The invention discloses a high and cold arid region slope soil stability safety risk evaluation system and method, and relates to the technical field of slope engineering. The state of each side slope under multi-dimensional indexes such as freeze-thaw cycle frequency, dry-wet alternation index, wind erosion strength, shear strength, water content, porosity and fracture density is quantified, the feature similarity between any two side slopes is calculated, and then a side slope feature similarity matrix is formed. Based on the matrix, an unsupervised clustering algorithm (such as spectral clustering, similarity propagation and the like) can be adopted to divide a plurality of side slopes into similar subsets with structural characteristics similar to environmental response, and category attribution of risks is achieved. On the basis, structural variation analysis, historical instability statistics and central risk difference extraction are performed on similar slope samples, so that the internal instability tendency of the slope can be identified, and a risk prediction model suitable for the type of slope can be constructed through feature training.

The invention provides a method suitable for water retention of soil with different textures. In order to better perform size matching between the biochar and soil particles, particle size grading is performed on the biochar according to the size of soil aggregates, and three kinds of biochar with the particle size larger than 2.0 mm, the particle size ranging from 0.25 mm to 2.0 mm and the particle size smaller than 0.25 mm are obtained. The three kinds of biochar with different particle sizes are used in different types of soil respectively, and 5% of biochar with the particle size of 0.25-2.0 mm is selectively applied according to the water retention requirement of the arid area loam farmland; according to the drainage requirements of loam waterlogging areas with more rainfall, 5% of biochar with the particle size larger than 2.0 mm is selectively applied; and 5% of biochar with the particle size smaller than 0.25 mm is selectively applied for water and soil conservation of sandy soil in the arid region. By scientifically regulating and controlling the particle size and the application amount of the biochar, the biochar is matched with the specific properties of the soil, so that the water retention capacity of the soil is improved, and the soil efficiency is improved.

The invention discloses a drought disaster risk quantitative assessment method fusing an irrigation disaster reduction effect, and belongs to the field of disaster risk assessment, and the method comprises the steps: obtaining different meteorological data of a target region in a three-dimensional space grid scale, and calculating a drought index; a drought event is identified by using an ST-KMeans clustering method; drought events are screened and combined, the space overlapping degree of the clustered drought region and the historical disaster region is calculated, and risk loss data docking is carried out; generating a drought event characteristic dynamic data set, and measuring the drought event; and in combination with the land coverage and utilization data of the target area and the farmland irrigation area data, extracting irrigation response information serving as a drought adaptability measure, and carrying out irrigation disaster reduction capability quantification and risk assessment. According to the method, irrigation information can be integrated on the basis of drought event identification, the drought slow release effect of irrigation in different time and space scales is quantitatively evaluated, and a scientific basis is provided for drought disaster risk management and agricultural adaptability policies.

The invention discloses an arid region groundwater reserve estimation method and system based on multi-source remote sensing data, and relates to the technical field of groundwater monitoring, and the method comprises the steps: collecting land water reserve data and remote sensing image data of a target arid region, obtaining a land water reserve change sequence according to the land water reserve data, carrying out the region weighting of the target arid region, and obtaining a target arid region groundwater reserve change sequence; obtaining a land water reserve change sequence of the target arid region; based on the remote sensing image data of the target arid region, using a digital elevation model to obtain a surface water reserve change sequence of the target arid region, using a land surface process model to obtain a soil water reserve change sequence of the target arid region, and establishing an underground water reserve model of the target arid region; and performing error analysis on an output result of the groundwater reserve model by using a Monte Carlo simulation method. According to the method, through collaborative inversion of multi-source remote sensing data and integration of the groundwater reserve models, accurate quantification of spatial-temporal dynamic of the groundwater reserves in the arid region is realized.

The utility model discloses an artificial breeding nest structure for breeding crayfishes in sandy soil in northwest arid regions, which is suitable for sandy soil water environment in northwest arid regions, and uses PVC (polyvinyl chloride) pipes as breeding pipes of the crayfishes, so that durability and corrosion resistance of a breeding device are guaranteed, and the breeding pipes have good light resistance and heat preservation. Circulating holes are further formed in the breeding pipes and used for helping water in the pipes to normally circulate, circulation of water bodies is ensured, water in the breeding pipes continuously flows, dissolved oxygen in the pipes is increased, a more suitable growth environment is created for the crayfishes, meanwhile, during breeding of the crayfishes, separated crayfish eggs can be collected through the breeding net, and the breeding efficiency is improved. The crayfish can be prevented from escaping all around, so that the economic loss is avoided; the product effectively solves the problems of a traditional nest in a sandy soil water body, improves the breeding efficiency and survival rate of the crayfish, and improves the production economic benefits of crayfish farmers in the northwest arid region to a certain extent.

The invention discloses a machine learning and multi-source variable-based high-precision prediction method for soil organic carbon in an arid region, and solves the problems of high spatial heterogeneity of soil organic carbon in the arid region and high traditional detection cost. The method comprises the following steps: collecting a soil sample by adopting layered random sampling, and integrating seven types of environmental variables such as climate, vegetation, terrain and remote sensing to construct a feature set; a Boruta algorithm is adopted for screening, an optimized feature set is obtained, and redundant data are eliminated; the method comprises the following steps: dividing a training set and a test set through Kolmogorov-Smirnov test; the method comprises the following steps of: generating 100 base models by using parameter optimized random forest and extreme gradient lifting double-model collaborative prediction and combining a Bootstrap integration strategy; inputting the target area optimization feature set to obtain an organic carbon prediction result; according to the method, the monitoring cost is effectively reduced, spatial-temporal dynamic inversion of soil organic carbon based on historical environment variables is supported, and a reliable technical scheme is provided for dynamic monitoring and ecological management of soil carbon.

The invention relates to the technical field of artificial intelligence, and discloses a gobi desert surface temperature prediction method based on deep learning. According to the method, a system architecture in which an acquisition end, a remote sensing end, an edge computing terminal and a central server cooperatively operate is constructed, and fusion and real-time transmission of multi-source observation data are realized. By designing a space-time neural network model fused with physical constraints, combining an angle-guided convolutional neural network and a gated cycle unit structure, and introducing surface energy balance and Stefan-Boltzmann radiation consistency constraints, high-precision prediction and physical consistency modeling of surface temperature are realized. And a cross-scale reconstruction and missing detection complementation mechanism is adopted, so that the spatial continuity and resolution of a prediction result are improved. According to the method, high-precision, stable and self-adaptive prediction of the surface temperature of the gobi desert area is realized, and intelligent support is provided for meteorological monitoring, ecological evaluation and early warning decision making of the arid area.

The provided is a modeling method of tropospheric delay for arid-areas including sandy, gobi and desert regions based on GNSS. The modeling method incudes: obtaining a troposphere zenith hydrostatic delay ZHD and a troposphere zenith wet delay ZWD by utilizing a GPT-3 model, and summing to obtain a troposphere zenith total delay ZTD; inversely calculating the ZTD by utilizing a ground-based GNSS, obtaining a high-precision ZWD inversed by the GNSS by calculating a difference between the ZTD and the troposphere zenith hydrostatic delay ZHD obtained by a Saastamonien model, inversely calculating an atmospheric weighted average temperature T′m by utilizing an ERA5 data set, performing linear correction to obtain a corrected temperature Tmr, and calculating a priori value ZWD0 of the high-precision ZWD; and correcting the ZWD0, and adding the corrected ZWD0 with the ZHD to obtain a corrected value of the high-precision ZTD.

Provided is a method for determining a proper plant spacing for vegetation ecological restoration in an arid region. The method includes the following steps: step 1, acquiring soil parameters and soil water parameters in a survey region; step 2, determining vegetation parameters for the survey region; step 3, collecting hydrological data of the survey region; step 4, determining a transpiration of a dominant plant species in a vegetation community of the survey region; step 5, calculating a thickness of a shallow groundwater action layer in the survey region; step 6, determining a thickness of an available water absorption layer; step 7, determining a water content within the thickness of the available water absorption layer; and step 8, determining the proper plant spacing for a vegetation. The method can effectively solve the problem of desertification of oases in arid regions.

The invention provides a remote sensing estimation method for high spatial-temporal resolution crop evapotranspiration in an arid and semi-arid region, which comprises the following steps of: acquiring cloudless or less-cloudless high spatial resolution optical remote sensing data of a crop growing season in a research region, and calculating or inverting remote sensing earth surface parameters required by high spatial resolution evapotranspiration; comprising a vegetation index NDVI, a leaf area index LAI, a vegetation coverage FVC, a surface water index LSWI and a surface albedo; the method comprises the following steps: acquiring meteorological reanalysis data of daily scales ERA5-Land and GLADAS of a research area, wherein the meteorological reanalysis data comprises relative humidity RH, average temperature Ta, air pressure Pa, solar short-wave radiation # imgabs0 #, downward long-wave radiation # imgabs1 # and upward long-wave radiation # imgabs2 #; according to the technical scheme, multi-source remote sensing data, an evapotranspiration physical model and a space-time fusion technology based on evapotranspiration characteristics are utilized, and estimation of high space-time resolution evapotranspiration of the arid and semi-arid agricultural areas is achieved.

The invention discloses a risk dynamic analysis method for a vegetation phenological period in an arid region, and the method comprises the steps: constructing a spring phenological model and an autumn phenological model in different partitions according to the partitions of different growth season initial periods SOS and growth season final periods EOS of plants in the arid region; respectively calculating vegetation growth risk coefficients of different growth season initial stage SOS partitions and growth season final stage EOS partitions; carrying out weight fusion on the vegetation growth risk coefficients to obtain a long-period vegetation growth risk comprehensive coefficient F in the arid region; calculating an ecological groundwater drought risk coefficient; calculating a vegetation risk dynamic coefficient of the arid region; and evaluating the growth risk of the vegetation in the arid region in the phenological period. According to the method, the drought risk influence coefficient is comprehensively calculated by utilizing representative feature data corresponding to different subareas and phenological areas, and comprehensive analysis of vegetation risk assessment in the arid area is realized by combining the ecological underground water drought risk coefficient on the annual scale.

The invention belongs to the field of remote sensing technology application, mainly aims at three typical grassland ecological system types of desert, grassland and meadow in an arid region, and discloses a grassland ecological health four-dimensional quantitative evaluation method based on multi-source remote sensing data. Comprising the following steps: S1, data fusion and long-time-sequence base construction: aiming at three typical grassland ecosystems of desert, grassland and meadow in an arid region, integrating long-time-sequence multi-source remote sensing images and auxiliary environment observation data, and reconstructing a model through a space-time fusion algorithm and missing data; and constructing a long-time-sequence multi-dimensional raster data set which is consistent in spatial resolution and covers non-biological background conditions. According to the system, accurate evaluation of long-time-sequence comprehensive conditions of different typical grassland types in the arid region is realized, the input information dimension and quality of the evaluation model are remarkably improved, and the ecological health problem is innovatively and accurately diagnosed from the deficiency of system bases, functional vitality, structural tissues or stress resistance recovery capability on the spatio-temporal scale.

The invention discloses a method for manufacturing a simulated earthen ruins rammed earth test wall based on original diseases, and relates to the field of earthen ruins protection and restoration. The method comprises the following steps: step 1, determining earthen archaeological site diseases to be researched and preparing materials; 2, mold assembling and disease marking are carried out; 3, layered ramming is conducted; step 4, crack disease processing; step 5, performing undercutting disease processing; 6, weathering disease processing; step 7, processing rain erosion diseases; and step 8, northwest environment simulation. The earthen archaeological site rammed earth wall is manufactured by integrating multiple disease collaborative simulation technologies of fissure, undermining, weathering and rain erosion, meanwhile, adaptability design of a strong wind erosion area, a strong sunshine area and a strong salinization area is made for northwest arid areas, and the method has the core advantages of disease reproduction authenticity, standardized grading, environment adaptability and the like; a scientific and reasonable technical means is provided for earthen archaeological site protection engineering, and a reliable test piece is provided for research and development of a protection technology.

The invention relates to the technical field of environmental protection and monitoring, and discloses an arid region oasis water environment ecological safety early warning method, which comprises the following steps: step 1, constructing a sky-air-land-water three-dimensional monitoring network, the monitoring network comprises a satellite remote sensing monitoring subsystem, an unmanned aerial vehicle remote sensing monitoring subsystem, a ground sensor monitoring subsystem and an underwater monitoring subsystem, and the monitoring network is used for acquiring multi-scale and multi-element water environment ecological data; step 2, establishing an ecological safety evaluation index system of the oasis water environment in the arid region, the evaluation system including four first-level indexes of hydrology and water resource dimension, water environment quality dimension, ecological health dimension and social economy dimension, and setting a plurality of quantifiable second-level indexes under each first-level index. A combined prediction model in which a Markov chain and a long-short-term memory neural network are coupled is adopted, and a system dynamics scene simulation method is combined, so that the perspectiveness and scene adaptability of the early warning method are effectively enhanced.

The invention relates to the field of ecological hydrology, and discloses an arid and semi-arid region plant ecological water consumption calculation method, which comprises the following steps: acquiring meteorological, soil and vegetation phenological data; constructing a root system depth dynamic evolution model, and updating the maximum depth of the root system day by day; determining the depth weight of the effective moisture extraction layer based on the dynamic root system distribution; calculating the weighted average effective soil water content; and outputting daily-scale ecological water consumption in combination with the corrected transpiration scale model. By coupling meteorological driving, soil moisture stress and a dynamic regulation and control mechanism of a plant growth stage on a root system, the water consumption inversion precision is remarkably improved, the root-mean-square error is reduced by more than 25% through actual measurement verification, and a high-precision quantification tool is provided for ecological water demand evaluation and water resource management.

The invention relates to the technical field of arid region ecological evaluation, and discloses an arid region ecological sensitivity evaluation method, which comprises the following steps: S1, multivariate data acquisition: acquiring land and land data by utilizing a satellite remote sensing image, acquiring topographic data by utilizing a DEM (Digital Elevation Model), acquiring a spectrum at a mineral sensitive wave band by utilizing a hyperspectral sensor, and acquiring a mineral sensitive wave band; a low-altitude unmanned aerial vehicle is used for carrying a multispectral camera to obtain vegetation disease and pest data, and the data are preprocessed and fused; s2, factor selection: selecting a landform factor, a vegetation factor, a soil factor, a water resource factor, a climate factor, a human activity factor, an ecological system service function value factor and a landscape connectivity factor; and S3, multi-factor grading evaluation: dividing the factor original data into five grades. Through multivariate data acquisition, hyperspectral remote sensing is used for acquiring mineral spectrums, and the unmanned aerial vehicle is used for acquiring fine vegetation disease and insect pest data, so that the problem of unreliable evaluation results caused by single source of existing ecological sensitivity evaluation data is solved.

The invention provides an arid region salt marsh grassland wetland water supplement regulation and control method and a related device, and the method comprises the steps: determining the ecological water demand and deficiency corresponding to a target region according to the wetland vegetation evapotranspiration, precipitation and underground water-soil water exchange flux of the target region in a target time period, the target area is any area in the salt marsh grassland wetland in the arid area; determining a water quantity adaptive gap corresponding to the target area according to the earth surface water supplementing quantity and the ecological water demand deficit quantity of the target area in the target time period; and performing water supplementing regulation and control on the target area according to the water quantity adaptive gap. According to the accurate evaluation result of the water volume adaptation gap, a refined drip irrigation technology is adopted to carry out ecological water supplementation on the salt marsh grassland wetland, the requirements of plants for water in all stages of the whole life cycle are ensured, and the stability and adaptability of a wetland ecological system are improved; and multi-target collaborative development of hydrological communication, biodiversity improvement, habitat optimization and the like of the wetland ecosystem is realized.

The invention discloses a method for repairing a karst mountain land in an extremely arid area under the condition of no soil collapse, belongs to the field of mine repairing, and aims to solve the problems that a certain strip mine belongs to a desert gobi area, the main type of soil is gypsum ash brown desert soil, the precipitation amount is small, the evaporation amount is large, and phytoremediation is difficult. The remediation object is the desert gobi area mine soil, the soil is mud left after mineral products are removed and the mineral products are deeply excavated by hundreds of meters, and the mud comes from hundreds of meters underground and hardly contains microorganisms; meanwhile, the saline-alkali content of the soil is very high. Different from the prior art, the remediation method provided by the invention adopts a manner of not killing soil, adopts the suaeda salsa as a remediation plant, and adopts a drip irrigation manner to ensure the water supply of the suaeda salsa, so that the remediation of the mine soil is realized. According to statistics, the total irrigation quota of the whole growth period of the suaeda salsa is 80-100 m < 3 > / mu, and the water consumption is obviously lower than the water consumption required by an existing remediation scheme.

The invention relates to the technical field of plant desertification control, in particular to a method for plant desertification control in an arid region, and aims to solve the problems that an existing irrigation technology is high in planting cost and difficult to implement in a region without water source guarantee. S2, sowing the treated seeds in a matrix bag; s3, fixing the sown matrix bag in a pipe, and placing the pipe in a soil pit to cultivate matrix seedlings; s4, preparing a water-retaining root-promoting bag; s5, digging a planting pit in the target planting field, placing a water-retaining root-promoting bag at the bottom of the pit, and filling dry sand with a preset height; and S6, transplanting the bred substrate seedlings and the non-woven fabric bags into the planting pits. And a protective net for preventing the wild animals from gnawing can also be bound. The method is used for planting and desertification control, irrigation and additional management are not needed, the investment of laying drip irrigation belts in the later period is reduced, and the method is more suitable for areas without water resource guarantee, is more suitable for desert highway and railway slope protection, and is particularly suitable for being applied to the two sides of an oil field connecting line (a simple road).

The utility model provides an arid area saline-alkali land treatment structure, which is characterized in that saline-alkali land is divided into a plurality of planting areas and a saline-alkali water collection and treatment area, each planting area comprises a planting layer, a water drainage and salt guide layer, a permeation-resistant air layer and an original layer, and the water drainage and salt guide layers are respectively positioned at the upper part of the permeation-resistant air layer and inside the original layer; the drainage salt guide layer, the permeation-resistant gas layer and the original layer are all in an inverted V shape with the high middle and the low two sides, and the hydraulic gradient of the slopes on the two sides is 1%-2%. The saline-alkali water collecting and treating area is composed of an alkali discharge channel, a filtering and collecting tank, an electro-adsorption tank, a water storage tank and an evaporation tank, the alkali discharge channel comprises an alkali discharge channel slope, an alkali discharge channel bottom surface and a water level sensor, and the hydraulic gradient of the alkali discharge channel bottom surface is 3%-5%. A filtering and collecting tank, an electro-adsorption tank, a water storage tank and an evaporation tank are arranged at the lowest-gradient end of the bottom surface of the alkali discharge channel. According to the utility model, a planting area layered improved structure is combined with a saline-alkaline water collection, treatment and storage integrated structure, so that the salt content of soil is reduced, and the recycling of saline-alkaline water is realized.

The invention relates to the technical field of soil improvement and ecological restoration, and discloses an ultra-stable mineralization in-situ salt fixation method for improvement of saline-alkali soil in an arid region and application of the ultra-stable mineralization in-situ salt fixation method. The invention provides a method for improving northwest inland saline-alkali soil based on combination of an ultra-stable mineralized in-situ salt-fixing soil conditioner, precise partitioning, biological improvement and salt-tolerant plant planting. According to the method, a salt elimination foundation is created through physical soil preparation, firstly, the soil alkalization degree and the salt content are rapidly reduced through an ultra-stable mineralization in-situ salt fixation soil conditioner, the physical structure of the soil is improved, and then rapid salt elimination and alkali inhibition, fertility cultivation and ecological reconstruction of the saline-alkali soil are finally achieved by constructing different plant planting modes and establishing a stable vegetation system. And a sustainable saline-alkali soil comprehensive treatment mode with good effect and low cost is formed.

The invention provides an arid region mountain vegetation bearing capacity assessment method and device, a medium and equipment, and the method comprises the steps: obtaining the rainfall capacity, the soil water quantity and the underground runoff capacity of a sample site in a monitoring time period, the underground runoff volume comprises the upper boundary runoff volume and the lower boundary runoff volume of a bedrock weathered layer corresponding to the sample site; estimating the total amount of absorbable water according to the rainfall, the soil water amount and the underground runoff; and according to the total absorbable water amount and the vegetation water demand corresponding to the vegetation, generating a corresponding vegetation bearing capacity evaluation result. According to the method, a total moisture mode is integrated, thin film water and weathered debris water storage in soil are comprehensively considered, a method system for evaluating the vegetation bearing capacity of the mountain land is provided, total moisture dynamic modes of different soil types can be accurately captured, a vegetation bearing capacity evaluation result is obtained, and scientific and technological support is provided for ecological restoration, vegetation configuration and water resource management of an arid region.

The invention relates to the technical field of haloxylon ammodendron forest rejuvenation in an arid region, in particular to a degenerated haloxylon ammodendron forest stumping, updating and rejuvenating method which comprises the following steps: (1) performing stumping treatment on target plants from late February to mid-March in early spring; (2) applying a composite modifier within 1-3 days after stumping; (3) carrying out periodic moisture regulation and control within 1-2 days after the composite modifier is applied; and (4) after the water regulation is finished, covering the base part of the plant with a mixed covering. The method solves the problem that in the prior art, only rejuvenation of the overground part is emphasized, but the health of the underground root system is neglected, the apparent quality of the haloxylon ammodendron forest can be improved, and the long-term stress resistance and ecological adaptive capacity of plants are remarkably improved.

The invention discloses an arid region soil wind erosion prevention and control vegetation optimal configuration system, and relates to the technical field of arid region ecological restoration and soil wind erosion prevention and control. The system comprises the following components: a plant organ wind erosion rate determination module, a vegetation wear resistance database module, a wind erosion strength partitioning module, a vegetation gradient configuration execution module and a dynamic monitoring and feedback module. According to the invention, through the wind erosion and abrasion intensity partitioning module, the wind speed, the sand grain density, the terrain, the altitude and the seasonal dynamic change factors are comprehensively considered, an improved wind erosion intensity index algorithm is adopted, the region is accurately divided into strong, medium and weak abrasion regions, and the accurate partitioning provides a scientific basis for the subsequent vegetation configuration, so that the vegetation configuration can adapt to local conditions, and the vegetation configuration efficiency is improved. The vegetation gradient configuration execution module configures plants with corresponding wear-resistant grades according to regions with different abrasion strengths, and meanwhile, the vegetation gradient configuration execution module reasonably configures single-species or multi-species mixed vegetation based on a wear-resistant matching degree algorithm and a species complementarity algorithm.

The application discloses a kind of arid region reservoir water and sand prediction and coordinated regulation potential evaluation method and system, belong to water resources, silt treatment and reservoir optimization scheduling technical field.The technical problems of traditional model prediction accuracy insufficient caused by arid region hydrology data scarcity, water and sand prediction process is fragmented and reservoir desilting and silt reduction and water storage benefit difficult to be synergistically optimized, its gist is that: long short-term memory network is used to predict future runoff sequence by fusing attention mechanism, and the sediment concentration is calculated by combining the water and sand relationship formula;By setting the critical sediment concentration threshold, the high sediment concentration period is identified and the available water for dredging is calculated;At the same time, the flood resource potential is evaluated by combining reservoir capacity and water demand constraints;Finally, the coordinated scheduling scheme is generated by comparing the two potentials.The application realizes the integrated accurate prediction of water and sand process in arid region and the simultaneous quantitative evaluation of regulation potential, and provides intelligent decision support for multi-objective optimization scheduling of reservoir.

The invention discloses a multi-scale water resource optimal configuration and efficiency evaluation analysis method for an arid region, and relates to the technical field of water resource management and sustainable utilization. The method comprises the steps of collecting and processing comprehensive water resource management data of an arid region to form an arid region water-ecology-society comprehensive data set, and performing scale identification processing on the arid region water-ecology-society comprehensive data set to form a basic scale data set; and performing scale hierarchy decomposition on the basic scale data set to form upper-layer scale data and lower-layer scale data. According to the invention, by collecting and processing comprehensive water resource management data, performing scale identification and decomposing the data into the upper-layer scale data set and the lower-layer scale data set, water resource optimal configuration and efficiency evaluation in the arid region are realized, a system is helped to identify and process spatial distribution and demand change, and more accurate and effective resource management is realized.

The invention discloses an exposed high and steep slope microtopography reconstruction method for improving vegetation colonization ability, which comprises the following steps: screening rocks with high weathering sensitivity, and establishing a weathering rate quantitative evaluation model; the weathering process of the rock with high weathering sensitivity is accelerated; constructing a micro-topographic space; based on the micro-topographic space, designing a three-stage compound matrix through the nutritional defects of the weathered product of the high-weathering-sensitivity rock, and carrying out layered fusion on the three-stage compound matrix and the micro-topographic structure; and carrying out vegetation planting and weathering-growth synergistic maintenance. According to the method, permeation of a weathering agent is guided through preset cracks, rock is converted into a nutrient matrix through an enhanced weathering technology, and the problem that traditional physical transformation depends on an external matrix and is prone to being deficient in the later period is solved; according to the method, the climate areas are graded, different treatment is conducted on the different climate areas according to the grading result, the water retention rate of the arid area is increased, the drainage efficiency of the wet area is improved, the overall structure is still stable when the gradient is larger than 60 degrees, and the gradient limitation of vegetation bags is broken through.