32 results about "Water cycle" patented technology

The invention discloses a regional extreme drought and flood event prediction system based on a climate model, and relates to the technical field of climate model prediction and disaster early warning, and the system comprises a data input module which is used for receiving regional multivariable prediction data processed by downscaling of the climate model, and the multivariable prediction data comprises rainfall, soil humidity and evapotranspiration. According to the regional extreme drought and flood event prediction system based on the climate model, equation strong constraint and variational optimization are carried out on key variables such as rainfall, soil humidity and evapotranspiration through the physical constraint dynamic coupler, the physical law of water circulation mass conservation and surface energy balance is forcibly met, the distortion phenomenon is eliminated, and the prediction accuracy is improved. According to the method, physical correction residual errors are converted into weight factors, Copula function parameters are dynamically adjusted, it is ensured that joint probability distribution of extreme drought and flood events strictly follows a physical mechanism, the path of misinformation physical impossible events is blocked from the source, and the problem of prediction distortion caused by multivariate physical inconsistency in downscaling output of a climate model is solved.

The invention discloses a karst area surface water and underground water exchange capacity inversion method based on a temperature tracing method. The method comprises the following steps: collecting temperature time sequence data of different horizontal positions and different riverbed depths of karst area surface water / river water and riverbed profiles; the method comprises the following steps: directly utilizing observed surface water temperature data as boundary conditions of a temperature tracing model, and constructing a new two-dimensional heat transfer mathematical model for describing a temperature tracing process of a karst area to be measured; and exporting an analytical solution of the constructed mathematical model by adopting a Green function method, and coupling a particle swarm optimization algorithm, so that the limitation that a traditional temperature tracing model can only invert the vertical exchange capacity is broken, and automatic inversion of the two-dimensional surface water and underground water exchange capacity of the karst area is realized. A new technical means is provided for research on interaction of surface water and underground water in the karst area and water circulation in the karst area, and the method can be widely applied to the fields of numerical simulation of a karst underground water system, water resource evaluation, ecological environment research and the like.

The invention provides a surface water-underground water integrated simulation method and system coupled with a glacier module, the method is based on an extended SWAT-GL model, rainfall, accumulated snow melt water and glacier melt water are jointly used as daily effective rainfall input, infiltration supply and river water level are transmitted to MODFLOW through a daily interface, and the water level of the MODFLOW is effectively simulated. And simulating underground water head change and surface water-underground water exchange capacity by utilizing a three-dimensional underground water flow equation, and feeding back a result to SWAT-GL river water balance, thereby realizing bidirectional dynamic coupling of the glacier-accumulated snow-surface-underground water whole process. The system breaks through the limitation that glacier mass balance and groundwater dynamics are difficult to depict synchronously in cold region simulation, can reveal a supply and regulation mechanism of glacier melt water to a groundwater system under the driving of climate change under a fine time scale, and remarkably improves the simulation capability of a cold region water circulation key process.

The invention discloses a mud flat inning influence analysis system based on numerical simulation, and relates to the technical field of mud flat inning influence analysis, and the system comprises an acquisition module which is used for obtaining hydrological data of a target water area and vegetation data of a mud flat field; the processing module is used for simulating a seawater infiltration, discharge and evaporation-rainfall circulation process according to the hydrological data, determining a pore water pressure field time sequence of the mud flat field, predicting soil parameter changes of the mud flat field according to the vegetation data, and obtaining a soil body strength parameter field time sequence; and the analysis module is used for inputting the time sequence of the pore water pressure field and the time sequence of the soil body strength parameter field into the digital twinborn body, simulating the land stability safety coefficient change of the mud flat field, and obtaining a land stability safety coefficient time sequence. According to the method, the land stability change is simulated in the mudflat reclamation field through real-time data driving, the land stability evolution of the mudflat reclamation field in a changing environment is quantitatively evaluated, and the influence of mudflat reclamation is accurately analyzed.

To provide a sludge purification system that can reduce the volume of sludge layers accumulated in rivers, lakes, etc., without the need for dredging, and that does not adversely affect the ecosystem as a result of sludge purification. [Solution] The sludge purification system 1 for purifying the sludge layer is equipped with an ultrasonic transmitter / receiver 120, a means for estimating the depth of the sludge layer, a nanobubble supply means 210, and a supply height adjustment means 220. Surface reflected waves from at least the surface of the sludge layer are observed by the ultrasonic transmitter / receiver, and the surface depth is estimated by the depth estimation means. The height (depth) at which the nanobubble-dissolved water is circulated by the supply means is adjusted by the supply height adjustment means to a depth that does not stir up the sludge layer, and the nanobubbles are supplied to the sludge layer by utilizing the sinking behavior of the nanobubbles in water. As a result, sludge can be purified without adversely affecting the ecosystem.

The application provides a kind of coupling ice module surface water-groundwater integrated simulation method and system, which is based on the extended SWAT-GL model, and inputs rainfall, snowmelt and glacial melt water as daily effective rainfall, transfers the infiltration recharge and river level to MODFLOW through daily interface, simulates the change of groundwater head and the exchange amount of surface water-groundwater by using three-dimensional groundwater flow equation, and feeds back the results to SWAT-GL river water balance, realizes the two-way dynamic coupling of the whole process of glacier-snow-surface-groundwater. The system breaks through the limitation that it is difficult to simultaneously depict the glacier mass balance and groundwater dynamics in cold region simulation, and can reveal the recharge and regulation mechanism of glacial melt water to groundwater system under the driving of climate change at a fine time scale, significantly improving the simulation capability of key processes of water cycle in cold regions.

The application discloses an irrigation system for adjusting soil moisture by means of meteorological data information, and relates to the technical field of agricultural irrigation. The system comprises a historical meteorological data processing module, a crop water requirement model optimization module, a soil moisture balance model optimization module, an irrigation decision model optimization module, a multi-modal fusion model optimization module, an execution control module and an irrigation device. The system calculates the ET0 value by the Penman-Monteith formula, optimizes the soil moisture model in combination with the precipitation intensity duration correction factor, dynamically correlates the crop coefficient and meteorological elements, constructs the irrigation water function based on the meteorological forecast and real-time monitoring data, introduces the disaster early warning mechanism to adjust the irrigation timing, adopts the historical meteorological feature fusion neural network, reduces the prediction error through cross validation, and realizes the accurate matching of soil moisture and crop water requirement. The application integrates multiple source meteorological parameters, optimizes the simulation precision of water cycle, improves the irrigation efficiency, and improves the efficiency of maintenance of the sprinkler equipment by replacing the sprinkler equipment without shutdown.

The application discloses a kind of based on nonlinear multi-end element hybrid model's computing mining area water resource conversion quantity method, belong to water resource protection technical field, including carrying out research area regional geology, hydrogeological survey, obtain regional topography, rainfall, evaporation and other background data, identify all potential water sources in region, clarify the qualitative relationship of regional water resource circulation transformation;Select representative point to carry out water sample collection, carry out hydrogeochemical test;Using DBSCAN algorithm to eliminate abnormal samples, identify and confirm stable end member;Based on evaporation fractionation effect and mineral dissolution kinetics introduce nonlinear factor, construct nonlinear multi-end element hybrid model, the contribution rate calculation between different water sources;Bayesian hierarchical model is constructed, integrated verification measured data and contribution rate calculation result, output water source contribution rate confidence interval.The application can accurately find out regional water cycle quantitative relationship and circulation mode, realize water resource full utilization and protection repair.

The invention relates to the crossing field of ecological environment management and big data technology, and discloses a sea river basin ecological management method and system based on big data acquisition. The method comprises the following steps: collecting multi-source data such as hydro meteorology, land utilization, social economy and pollution emission; performing space-time alignment and standardization processing; constructing a composite system dynamics model integrating water circulation, pollutant migration, land utilization change, population economy and policy response; setting a plurality of ecological management policy scenarios and driving the model to carry out dynamic simulation for not less than 20 years; and outputting multi-dimensional results such as water quality change, ecological system service value and water resource bearing capacity, and generating an evaluation report containing early warning, sensitive sorting and path recommendation. According to the system, through total element coupling modeling and long-period deduction, scientific pre-judgment and multi-target collaborative optimization of the ecological management policy effect are realized.

The application discloses a regional water-saving and salt-control regulation method, which comprises the following steps: determining the regional soil salinization degree according to the regional soil salinization distribution; obtaining the regional salt accumulation state according to the regional water cycle elements and the corresponding salt concentration carried thereby; monitoring the regional groundwater level depth based on the regional topography and soil properties; judging whether the groundwater level depth is located in a reasonable salt-control groundwater depth range, and regulating the regional recharge and discharge under the constraint of the groundwater level depth according to the judgment result, the regional soil salinization degree and the regional salt accumulation state, and further determining the water-saving and salt-control collaborative evapotranspiration ratio and drainage ratio threshold. The application fundamentally prevents and controls the regional salinization increment, and provides support for fundamentally coordinating water resource utilization and salinization treatment by surrounding the salt-control groundwater level element, based on the water cycle process, and performing the precise regulation method of the soil salinization treatment with the regional water-saving and salt-control as the target.

This invention discloses a method for predicting extreme rainfall runoff and infiltration by fusing confluence calculation and neural networks. The method includes: constructing a two-way coupling mechanism between surface runoff and soil infiltration processes; dynamically allocating rainfall through runoff over-infiltration determination; feeding the runoff results as source terms to a GPU parallel confluence calculation framework; dynamically feeding soil moisture back to infiltration capacity calculation; and iteratively solving the water balance equation using an implicit or semi-implicit scheme. This method achieves dynamic coupling and collaborative simulation of multiple water cycle processes under a unified framework, solving the problems of separation between surface water dynamics and infiltration models, non-conservation of mass, and insufficient physical consistency under extreme conditions in traditional methods.

This invention discloses a three-dimensional quantification method for subsurface lateral preferential flow in arid and hot valleys based on GPR (Geophysical Permeability Reduction) detection and SSIM (Spatial Infiltration Model) analysis. It integrates time-delayed GPR scanning with artificial infiltration experiments and applies SSIM analysis to depict LPF (Limited Placement Flow) path activation, network structure evolution, and humid zone distribution in a three-dimensional manner. This method achieves, for the first time, three-dimensional non-destructive quantification of the dynamics of the LPF network on arid and hot valley slopes. The established hydrogeophysical data acquisition and post-processing workflow provides a crucial and transferable research method for quantitatively analyzing the interaction between structural connectivity and process connectivity in slope runoff generation and confluence. This method overcomes the limitations of traditional two-dimensional slope LPF analysis by quantitatively characterizing the spatiotemporal dynamics of subsurface three-dimensional connectivity. It provides direct support for improving the water cycle mechanism in arid and hot valleys and improving hydrological models based on physical mechanisms, and provides a scientific basis for sustainable management decisions in water conservation areas of arid and hot valleys under climate change conditions.

The invention discloses a water-bearing side slope freezing type wall-leaning mining method. The method comprises the steps of underground water layer exploration, freezing circulation system construction, wall-leaning mining after freezing, freezing relieving, underground water system recovery and the like. According to the invention, multiple types of wells are matched with the freezing communication network, so that underground water can be effectively frozen; cold energy transmission materials are completed through underground water in the area, local materials are used, and the implementation cost is reduced; a waterproof retaining wall is formed after freezing, so that relative dryness of the slope can be ensured, and the stability is improved; after the freezing effect is relieved, the underground water recovers to run through, and permanent interference on underground water circulation in the area is avoided; the semi-sealed well wall prevents high-salinity water from reversely permeating to underground water on one side deviating from the pit bottom, and mineral pollution to the underground water can be effectively avoided in cooperation with monitoring dilution; the method is implemented in an extremely small range of a strip mine mining area, mine production arrangement is not affected, and potential safety hazards do not exist after dumping coverage; the implementation process does not affect the mine production order.

NASA's mandate is a human mission to Mars in the 2030s and sustained exploration of Mars requires in-situ resource utilization (ISRU). Exploiting the Martian water cycle (alongside perchlorate salts that depress the freezing point of water to <213K) and the available 95 vol. % atmospheric CO2, we detail an ultra-low temperature (255K) CO2—H2O electrolyzer to produce methane fuel and life-supporting oxygen on Mars. Methane production is thermodynamically favored across a range of operational pressures and temperatures and our electrolyzer polarization model concurred with reported experimental performance. A 10-cell, 100 cm2 electrode-area-per-cell electrolyzer produced 0.406 LW−1day−1 of CH4 and 2.08 LW−1day−1 of O2 at 2V / cell (operating voltage) vs. 2.202 L W−1day−1 of O2 produced by the Mars Oxygen in-situ Resource Utilization Experiment (MOXIE) from NASA's Mars 2020 mission (MOXIE produces no fuel). Material performance requirements are presented to show that this technology is an energy-efficient complement to MOXIE's high temperature approach.

The invention discloses a heterogeneous landform multi-scale hydrological cycle simulation method based on parallel compartments, and the method comprises the steps: S1, initializing a target region, exporting a landform factor of the target region according to a digital elevation model, generating a grid, and setting a plurality of parallel units in each grid point; s2, based on the terrain factors in the S1, simulating water flow among the units through precipitation, evapotranspiration and water storage capacity of the units, and dynamically updating data of the units in the S1 in the simulation process; s3, dividing each unit into a karst region and a non-karst region according to the topographic factors in the S1, and optimizing water flow among the units in the S2 according to characteristics of the karst region and the non-karst region; and S4, dynamically updating data in the water circulation process based on the water flow among the units optimized in the S3, and finally realizing hydrological circulation simulation. According to the method, the hydrological processes of different landform areas can be uniformly represented on the premise of ensuring numerical calculability, and the method is suitable for hydrological cycle simulation from a small watershed to a global scale.

The invention discloses an iterative method for calculating sea-land moisture recirculation rate, which comprises the following steps: respectively carrying out iterative decomposition on sea evaporation capacity and land evaporation capacity according to a water conservation principle to obtain variables of a water vapor transport equation and a precipitation equation, obtaining a simplified water vapor transport equation and a simplified precipitation equation through variable replacement and simplification, and calculating the sea-land moisture recirculation rate according to the simplified water vapor transport equation and the simplified precipitation equation. Substituting the ocean water circulation element and the land water circulation element of the to-be-calculated time period into the water vapor conveying simplified equation and the precipitation simplified equation, solving the evaporation recirculation rate, and establishing a recirculation rate balance equation according to the water conservation physical law; and calculating the rainfall recirculation rate according to the ocean water circulation element, the land water circulation element and the evaporation recirculation rate of the to-be-calculated time period. According to the method, the marine moisture recycling rate and the land moisture recycling rate can be accurately calculated, and the difficult problem that recycling is brought into global hydrological major cycle evaluation can be solved.

The present application relates to the field of ecological hydrological monitoring and artificial intelligence data processing, and provides a cold region ecological hydrological process analysis method and system based on stable isotope tracing, comprising: collecting stable isotope related data in alpine mountainous areas, constructing a multidimensional collaborative data set and performing data cleaning and feature extraction to obtain a multidimensional feature set containing stable isotope spatiotemporal variation, environmental factor characteristics and ecological hydrological process characteristics; constructing a distributed ecological hydrological model based on a mixed spatiotemporal network architecture and performing model training; inputting the multidimensional feature set of the region to be analyzed into the trained distributed ecological hydrological model, and outputting the quantitative contribution coefficients of four types of water cycle paths in the region from the feature fusion layer, including: atmospheric water vapor source contribution coefficient, frozen soil layer upper water river recharge proportion coefficient, precipitation contribution coefficient of soil water recharge, and soil water contribution coefficient of vegetation water use. The present application improves the recognition accuracy and stability of the water cycle path in alpine mountainous areas.

The application discloses an ISCO remediation system and a remediation method, and the remediation system comprises a multiphase extraction well, a groundwater circulation well and an auxiliary injection well, the multiphase extraction well is connected with a first ground system, the groundwater circulation well is connected with a second ground system, and the auxiliary injection well is connected with a third ground system. The method comprises the following steps: S1, pollution assessment; S2, remediation of a simple soil pollution area; S3, remediation of a simple groundwater pollution area; and S4, remediation of a soil and groundwater composite pollution area. The application provides various remediation wells with different structures aiming at various pollution conditions of soil and groundwater, can realize extraction of NAPL and multi-point synchronous injection of a remediation agent, realizes the purpose of shrinking the boundary of a pollution plume, and thus can achieve good remediation effect and remediation efficiency in a short term and a long term, and has important practical significance for ISCO remediation of soil and groundwater.

The application relates to an all-weather high-temporal-spatial resolution multi-source remote sensing atmospheric water vapor total amount data fusion method, which comprises the following steps: obtaining original temporal-spatial image data of a geographical region to be studied; constructing a nonlinear fusion model between dependent variables and independent variables under clear sky conditions; and constructing all-weather atmospheric water vapor total amount data of the geographical region to be studied by using the original temporal-spatial image data and the nonlinear fusion model. The application can obtain atmospheric water vapor total amount data with a preset spatial resolution and in a continuous time and space, so that a user can obtain the spatial distribution details of the all-weather atmospheric water vapor total amount, and more abundant information can be provided for atmospheric environment monitoring and water cycle process research. Compared with the prior art, the atmospheric water vapor total amount data after fusion can be not affected by the ground signal and effectively cope with the high-temporal-spatial dynamic change characteristics of water vapor, the precision of the atmospheric water vapor total amount data after fusion is improved compared with the original data, and the spatial distribution trend of the original atmospheric water vapor total amount data is retained.

The invention relates to the technical field of hydrological analysis and calculation, particularly discloses a flood forecasting method based on structure optimization of a full storage and runoff production model, and aims at overcoming the structural defects of a traditional Xinanjiang model, so that the simulated water circulation process is more fit with the actual situation of a drainage basin by improving runoff production, runoff discharge and a multi-source confluence module of the model. The method comprises the following steps: firstly, introducing an infiltration model related to the soil water content in the aspect of a mixed runoff production mechanism, and deducing a calculation formula of the real-time infiltration capacity of a drainage basin based on a soil water storage capacity curve; secondly, a dynamic outflow and confluence module with a complete theoretical basis is constructed in combination with a water tank outflow and motion wave theory; by the adoption of the flood forecasting method based on structure optimization of the full storage runoff production model, the optimized model can more accurately reflect the hydrological process of dynamic change, can be better applied to runoff forecasting work under different scenes, and can greatly reduce the requirement for forecasting experience of technicians.

The invention discloses an arid region multi-scale water resource efficient utilization simulation and prediction method based on a coupling model, and relates to the technical field of water resource management. The method comprises the steps that water circulation data of an arid area is collected to form an arid area multi-source water circulation data set, the arid area multi-source water circulation data set is preprocessed to form a water circulation objectification foundation set, and the water circulation objectification foundation set comprises surface water objects, underground water objects, ecological water demand objects and unconventional water objects. According to the method, the multi-source water circulation data of the arid region is collected and preprocessed, a water circulation objectification basic set is formed, and a structured data basis is provided for dynamic water resource management. Through an online bidirectional coupling mechanism, the relationship among surface water, underground water, ecological water demand and unconventional water sources is modeled, and reasonable distribution and prediction of water resources are ensured by updating and adjusting the water quantity state in real time.

The invention is suitable for the technical field of groundwater evaluation, and provides a plain area loose pore pressure-bearing groundwater renewal capacity evaluation method, which comprises the following steps: constructing a groundwater renewal capacity evaluation two-stage index system and determining each evaluation index grade interval according to a plain area loose pressure-bearing groundwater resource renewal mechanism; according to the collected hydrogeological related data and a set index grade interval, the secondary evaluation indexes and the primary quantitative indexes are scored, scores of the primary qualitative indexes are generated according to secondary index membership degree vectors and preset weights, and the groundwater renewal capacity comprehensive evaluation indexes are calculated according to the scores of the primary indexes and the preset weights. Therefore, by constructing the multi-stage updatable evaluation index system of the underground water system and comprehensively considering the development background of the underground water, the artificial mining influence, the water circulation updating rate and other factors, the accuracy and comprehensiveness of the underground water updating capability evaluation are improved.

The invention relates to a watershed ecological hydrology monitoring method based on a multi-source remote sensing and numerical simulation technology, and belongs to the field of watershed water resource and ecological environment monitoring. Carrying out integrated acquisition through drainage basin data; performing data processing and assimilation fusion; based on the preprocessed remote sensing data, respectively inverting evapotranspiration, soil moisture, snow and ice parameters and vegetation parameters; a distributed physical hydrological model is selected, and model calibration and verification are completed; data subjected to downscaling processing are acquired, and a numerical model is driven to simulate hydrological processes and ecological responses in different periods; analyzing a water circulation path by using isotope data, and evaluating the influence of climate change on drainage basin water resources, extreme hydrological events and an ecological system; and finally, integrating the model, the database and the evaluation result to a GIS platform. According to the method, the integrity and accuracy of drainage basin monitoring data can be improved, an ecological hydrological process can be coupled to construct a numerical model, and scientific support is provided for drainage basin water resource optimization configuration and ecological safety early warning.

The invention relates to the field of eco-hydrological monitoring and artificial intelligence data processing, and provides a cold region eco-hydrological process analysis method and system based on stable isotope tracing, and the method comprises the steps: collecting stable isotope related data of a cold and cold mountainous area, constructing a multi-dimensional collaborative data set, and carrying out the data cleaning and feature extraction; obtaining a multi-dimensional feature set containing stable isotope temporal and spatial variation, environmental factor features and ecological hydrological process features; constructing a distributed ecological hydrological model based on a mixed space-time network architecture, and performing model training; inputting the multi-dimensional feature set of a to-be-analyzed region into a trained distributed ecological hydrological model, and outputting quantitative contribution coefficients of four types of water circulation paths of the region by a feature fusion layer, comprise an atmospheric water vapor source contribution coefficient, a permafrost water-to-river supply proportion coefficient, a rainfall-to-soil water supply contribution coefficient and a soil water-to-vegetation water contribution coefficient. According to the invention, the identification precision and stability of the water circulation path in the cold highland area are improved.

This invention discloses a method and apparatus for producing kilometer-scale land-atmosphere weakly coupled reanalysis products for a target area in the field of meteorology. The method includes constructing an hourly kilometer-scale land-atmosphere weakly coupled reanalysis system adapted to the target area based on a kilometer-scale land-atmosphere weakly coupled numerical model system; employing hourly standard initialization of convective-scale atmospheric reanalysis and variational assimilation of assimilated observation datasets; and obtaining hourly kilometer-scale 3D atmospheric reanalysis products, soil temperature and soil moisture reanalysis products, and 1-hour precipitation forecast products for the target area through variational assimilation techniques, numerical forecast models, and land surface assimilation analysis techniques. This invention utilizes land-atmosphere weakly coupled reanalysis technology based on complex interactions at the atmosphere-land interface, enabling bidirectional feedback between the atmospheric and terrestrial spheres, accurately characterizing key aspects of the energy and water cycles, and improving the determinism of the target area reanalysis products in representing extreme events closely related to land surface processes.

The application relates to a permafrost ice melt water runoff quantitative analysis method based on a distributed hydrological model. The method comprises the following steps: dividing soil in a target region into at least one soil layer, and constructing a solid ice mass parameter corresponding to each soil layer; for any soil layer, determining a water migration path corresponding to the soil layer according to the position of the soil layer, and constructing a melt water mass parameter migration function corresponding to each water migration path according to the conversion relationship between solid ice and melt water in the soil layer and the solid ice mass parameter corresponding to the soil layer; constructing a target distributed hydrological model corresponding to the target region based on the melt water mass parameter migration functions; simulating and processing the water cycle process of the target region through the target distributed hydrological model, and determining the permafrost ice melt water runoff of the target region according to the output value of the melt water mass parameter migration function corresponding to the runoff water migration path in the simulation result. The method can reduce the calculation cost of the permafrost ice melt water runoff.

The application discloses a water cycle cascade simulation method based on causal constraints and residual correction, and specifically comprises the following steps: first, the research area is rasterized and divided into hydrological units, and a hydrological unit node set is constructed; multi-year time series input data is compiled, core input feature data of a precipitation submodule, an evapotranspiration submodule and a runoff submodule is selected respectively in combination with the physical characteristics of water cycle elements, and a corresponding space-time feature matrix of each submodule is constructed; a causal constraint adjacency matrix is constructed in combination with spatial adjacency relationship, water system connectivity, terrain slope and flow direction, a precipitation submodule, an evapotranspiration submodule and a runoff submodule are built based on a graph attention network, and cascade driving simulation is carried out in accordance with the hydrological physical causal chain; a joint loss function is constructed by fusing a basic supervision item, water balance and monotonicity causal constraints, multi-constraint training is completed, residual correction is carried out on cascade simulation errors, and water cycle element simulation results are obtained; and performance quantitative evaluation is completed in combination with measured data.

The present application belongs to the technical field of cross-basin groundwater circulation flux estimation, and particularly relates to a remote sensing estimation method and system for separating groundwater flux of infiltration and lateral inflow. The method comprises the following steps: obtaining a multi-source remote sensing data set of a study area; correcting evapotranspiration data of different land use types in the study area; dividing the study area into equal-area units, identifying vertical dominant units and lateral dominant units, and then determining a cross-basin groundwater exchange zone; using the vertical dominant units to solve local vertical infiltration and form a background field by interpolation, and establishing a joint equation set for the lateral dominant units with the background field as the initial value and groundwater dynamic characteristic parameters as additional constraints to solve the external lateral inflow, and then obtain the cross-basin groundwater circulation flux. The present application identifies the vertical dominant units and the lateral dominant units, and realizes quantitative estimation of the cross-basin groundwater circulation flux.

The application discloses a kind of desert photovoltaic power station area actual evapotranspiration estimation method, steps include:1) collection relevant data;2) calculate daily scale reference evapotranspiration;3) calculate monthly scale reference evapotranspiration ET o ;4) calculate monthly scale soil water storage change ΔS;5) calculate monthly scale precipitation P;6) calculate monthly scale actual evapotranspiration ET;7) calculate crop coefficient K c ;8) calculate daily scale actual evapotranspiration ET, namely, this application method, only need meteorological observation equipment and soil observation equipment to collect basic data, can accurately obtain the dynamic characteristics of daily actual evapotranspiration on long time sequence;It can also monitor meteorological and soil element data simultaneously, facilitate overall water balance analysis, to clarify the water cycle process in the background of climate warming in northwest arid region, to provide strong support for further exploration of arid region water cycle research.

The invention relates to the technical field of artificial rainfall, in particular to an ecological analysis method for influence of artificial rainfall enhancement on the basis of regional dynamic matching. The method comprises the following steps: acquiring artificial precipitation enhancement operation information of a target area and ecological information of the target area; according to the topographic relief and water system distribution difference of each local area in the target area ecological information, establishing ecological state description corresponding to each analysis unit; time evolution characteristics of an artificial rainfall process are constructed based on occurrence time periods of all operations in the artificial rainfall enhancement operation information and corresponding meteorological condition changes; based on the ecological state description of each analysis unit, determining an effective matching time window corresponding to each analysis unit; and extracting ecological state change data in the effective matching time window to calculate the ecological influence degree of each analysis unit. According to the method, the dynamic influence of artificial precipitation on multi-dimensional ecological indexes such as water circulation, soil humidity and vegetation growth can be carefully captured, and the accuracy, pertinence and operability of evaluation are remarkably improved.