30 results about "SWAT model" patented technology

The invention discloses a runoff change attribution recognition method considering land utilization spatial-temporal evolution. The method comprises the steps that a research period is divided into a natural period and a change period according to runoff sudden change characteristics; the change period is segmented according to land utilization evolution characteristics; a basin SWAT model is established; model parameters are calibrated; and basin runoff change is calculated in a segment-by-segment item-by-item rolling and attribution quantification mode. Through the method, the change period is finely divided according to the evolution characteristics of land utilization to fully consider land utilization evolution conditions, basin underlying surface characteristics can be accurately described and hydrologic process characteristics can be effectively simulated based on the SWAT model, a basin distributed hydrologic model is established to describe the hydrologic process, and influences of land utilization evolution on runoff are fully considered in an attribution quantification recognition result obtained by calculating the runoff change in the basin research period in a segment-by-segment item-by-item rolling mode.

The invention discloses a response analysis method for surface water quality to a climate change. The method is characterized by comprising the following steps of: 1, prediction of a future climate change factor change trend, 2, building and calibration of an SWAT model, 3, calculation of total nitrogen and total phosphorus, and 4, a response of the surface water quality to the climate change. Compared with the prior art, the method based on future climate prediction, the SWAT hydrological model and statistical analysis simulates influences on the surface water quality change by climate change factors such as temperature and rainfall through setting different temperature change scenes and rainfall change scenes, simulation study on the water quality influences by the climate change is developed with the SWAT hydrological model as a basis, a response relation between the climate change and the water quality change is built, and response analysis of the surface water quality to the climate change can be carried out. The method of the invention can be widely applied to response study on the surface water quality to the climate change, particularly response analysis of the surface water quality in Hetao areas to the climate change.

The invention provides a runoff forecasting method for an uncontrolled area based on coupling of hydrological and hydrodynamic models, which is characterized in that the method comprises the followingsteps of 1 constructing a river network basin structure of a control area by using a SWAT model; 2 constructing a lake hydrodynamic model without considering runoff of an uncontrolled area by using aDelft3D model; 3 coupling the hydrological model of the basin with the hydrodynamic model of the lake, constructing the structure of the river network in the uncontrolled area; constructing the SWATmodel of the whole watershed to calculate the runoff of the uncontrolled area; carrying out the runoff distribution in uncontrolled area; constructing a lake hydrodynamic model considering runoff in uncontrolled area; 4 verifying the runoff simulation results in uncontrolled area. The simulation accuracy of runoff in uncontrolled area is verified by comparing the simulation accuracy of runoff in outlet of lake hydrodynamic model with runoff in uncontrolled area and without runoff in uncontrolled area.

The invention discloses an SWAT (soil and water assessment tool)-model-based basin natural runoff calculation method. The SWAT-model-based basin natural runoff calculation method includes creating a basin SWAT model; determining parameter values of natural sub basins and verifying accuracy of the parameter values according to the SUFI-2 method; creating correlation between sub basin parameters and natural sub basin parameters; inputting the parameters, and calculating basin natural water resource according to the SWAT model. The SWAT-model-based basin natural runoff calculation method has the advantages that runoff information, capable of reflecting basin natural runoff conditions, of the natural sub basins is fully utilized, the correlation between the typical sub basin parameters and sub basin parameters with huge underlying surface changes is created, the parameters with low uncertainty are distributed to other areas, and accordingly, reliability of the natural runoff simulation value of the whole target basin is improved; a new method and a new thought are provided for calculation of natural runoffs.

The invention relates to a method for estimating nitrogen and phosphorus pollution in a drainage basin based on a spatial remote sensing technology. The method specifically comprises the following steps: step one: selecting a typical small drainage basin, acquiring and analyzing the soil moisture remote sensing data of the whole drainage basin; step two: carrying out drainage basin non-point source pollution SWAT model simulation; step three: using the drainage basin soil moisture spatial remote data to verify model simulation result; step four: establishing the soil moisture and non-point source nitrogen and phosphorus loss load response relationship; step 5: estimating nitrogen and phosphorus pollution in the drainage basin based on the spatial remote sensing technology. The method of the invention uses the remote sensing technology for analysis so as to avoid large-scale random sampling, improve the efficiency and feasibility of operation, and save cost; secondly, the method combines the soil moisture remote sensing technology and the SWAT model simulation, thereby improving the accuracy of the drainage basin non-point source nitrogen and phosphorus pollution simulation; thirdly, only by obtaining the soil moisture remote sensing data can the drainage basin non-point source pollution estimation be simply achieved.

The invention provides a design method of a distributed water circulation model based on a multi-source mutual aid water supply mode. The design method comprises the steps of S1, performing nested HRU division; S2, performing HRU attribute design; S3, designing a multi-source mutual aid water supply module; and S4, improving the SWAT model. On the basis of the SWAT model, a distributed natural-artificial water circulation dynamic mutual feedback simulation model is developed, so that the model has the functions of dynamic mutual feedback of natural water circulation and artificial lateral branch water circulation and integrated simulation of water resource development, utilization and regulation; according to the invention, drainage basin natural-artificial water circulation process simulation based on urban multi-water-source water supply and multi-water-source irrigation water supply modes can be completed, the influence of the water circulation process on artificial water taking and using is reflected, and the real-time intervention effect of water resource development, utilization and regulation on the water circulation process is also reflected; and therefore, a scientific reference basis is provided for deeply knowing a drainage basin water circulation mechanism under the influence of strong human activities and reasonably developing and utilizing water resources.

According to the invention, land utilization/cover is a key parameter for hydrological process simulation, and affects hydrological processes such as interception, infiltration, evapotranspiration, and groundwater recharge; and in areas strongly interfered by human activities, a type of land utilization/cover can be drastically changed, thereby affecting a water circulation process of a watershed.SWAT is a widely used distributed hydrological model. During a simulation period with the SWAT, land utilization/cover data cannot be called year by year, that is, the change in land utilization/cover time is ignored, which may affect application of the SWAT in areas with severe land utilization/cover changes. Aiming at this shortcoming of an SWAT model, the invention improves the SWAT model anddevelops an LU-SWAT model that can call land utilization/cover data year by year. Runoff simulation results of the SWAT and LU-SWAT models are compared in the middle reaches of Heihe River where landutilization/cover changes are severe, and a comparison result proves that the LU-SWAT model is more suitable for water circulation simulation in the middle reaches of Heihe River.

The invention discloses a method of optimal allocation of agricultural non-point source management measures combination based on an ecological service function. The method comprises the following steps: 1) collecting data of a target research area and constructing a watershed SWAT model of the target research area; 2) According to the slope condition and the type of soil hydrology group, selectingthe agricultural non-point source management measures in the target research area; 3) calculating that cost of the existing management measure and the selected agricultural non-point source management measures of the watershed where the target research area is locate, and constructing a cost database of each management measure; 3) adjusting that key characteristic parameters of the SWAT model ofthe watershed, respectively simulate the reduction efficiency of the target pollutants by different management measures, and generating an ecological benefit database for the implementation of the measure; 4) adopting an Adaptive multi-objective genetic algorithm to calculate the cost database and the ecological benefit database, and the optimal cost-benefit curves of different target pollutants are obtained, and the optimal allocation scheme of agricultural non-point source management measures in the target research area is obtained.

The invention belongs to the field of hydrology and water resources, and particularly relates to a comprehensive drought monitoring and evaluation method based on a hydrological process. The method comprises the steps of S1, constructing, calibrating and verifying a distributed hydrological model; S2, carrying out edge distribution fitting; S3, constructing a comprehensive drought index SPERI; and S4, carrying out drought evolution analysis based on the comprehensive drought index SPERI. From the perspective of water circulation, the comprehensive drought index SPERI considering hydrological and meteorological factors is constructed by applying an SWAT model and a Copula function, and the comprehensive drought index SPERI has relatively strong physical significance and statistical basis, can sensitively capture the occurrence process of a drought event, and can truly and objectively reflect the evolution characteristics of regional drought. Meanwhile, identification and multivariable recurrence period analysis are performed on characteristic variables such as drought duration, intensity and peak value based on the index, so that powerful support can be provided for drought monitoring and evaluation.

Disclosed are a method and system for hydrological simulation of a shrimp-rice co-cropping area based on SWAT improved model. Hydrological simulation can be rapidly and accurately carried out on the prawn and rice co-culture area, and reliable guarantee is provided for scientific and reasonable implementation of prawn and rice co-culture water resources allocation and regional flood control and drainage. The method comprises the following steps: step I, improving a pot hole module configuration of an SWAT model, and setting and improving a cone in an original SWAT model into a shrimp-rice co-cropping area structure with rectangular shrimp ditches on the periphery and a rice field in the middle; setting an improved calculation method for the effective water storage area of the shrimp-rice co-cropping area; step II, improving an evapotranspiration algorithm; step III, improving an infiltration amount algorithm; step IV, constructing an irrigation module; step V, constructing a drainage module; and VI, making hydrological simulation: inputting parameter data required by the model based on actual measurement data and simulation requirements of a to-be-simulated region, then operating the model, and carrying out hydrological simulation under shrimp-rice co-culture.

The embodiment of the invention provides a hydrological forecasting method and device, and the method comprises the steps: inputting historical monthly-scale meteorological data into a numerical weather generator model CLIGEN, and determining future daily-scale meteorological data according to the historical monthly-scale meteorological data through a CLIGEN model; and inputting the future daily scale meteorological data into a distributed hydrological model SWAT, performing runoff simulation according to the future daily scale meteorological data through the SWAT model to obtain a runoff simulation result, and estimating and publishing long-term hydrological forecast data according to the runoff simulation result. According to the embodiment of the invention, the effective forecast periodcan be prolonged, so that people can more accurately master the global climate change of ten to hundred years or more under the global warming trend.

The invention is applicable to the technical field of ecological restoration, in particular to a mine ecological restoration method based on ecological zoning. The method comprises the steps of obtaining the basic data of the mine to be restored and establishing the SWAT model of soil and water loss evaluation; according to the SWAT model, performing ecological zoning and obtaining the soil and water loss of each ecological zone; adopting a scene analysis-test correction method to determine the repair measures. The invention starts from two major factors of soil and vegetation that affect mineecological restoration, and, through data collection, carries out ecological zoning and soil and water loss evaluation on the mine to be restored, so that soil improvement and ecological restorationmeasures of vegetation cover can be quantitatively determined simply and at low cost.

The invention relates to a typhoon early warning system based on power grid geographical information. The system comprises a positioning system, a monitoring system connected with the positioning system, an evaluation module connected with the monitoring system and a simulation early warning system connected with the evaluation model. The positioning system employs a GIS power grid platform system for performing coordinate positioning on an early warning area and determines a concrete position the early warning area in a map of the GIS power grid platform system according to coordinates; the monitoring system monitors typhoon information in real time and transmits the information to the evaluation model; the evaluation model, according to the information transmitted by the monitoring system, determines typhoon data, establishes a meteorological layer which is used for presenting basic geological data, typhoon path data, hazard-affected body data and disaster-inducing factor data; and the simulation early warning system inputs a fault route and analyzes and predicts a future development trend of a typhoon according to the meteorological layer by use of an SWAT model. The typhoon early warning system based on the power grid geographical information, provided by the invention, gives an early warning of typhoon information so as to reduce damage caused by the typhoon to people to the lowest.

The invention discloses a CNN-based land-water integrated river water quality space-time continuous prediction method, which comprises the following steps: carrying out runoff simulation on each sub-basin of a river basin based on an SWAT model to obtain a runoff simulation result of each sub-basin; based on the EFDC model, inputting the runoff result of each sub-basin as the flow boundary of the EFDC model, inputting the pollutant flux as the water quality boundary of the EFDC model, and simulating to obtain a water quality space-time continuous distribution image; constructing a CNN model, inputting the obtained water quality space-time continuous distribution image as a training sample, and training the CNN model; and utilizing the trained CNN model to carry out river water quality space-time continuous prediction, and predicting a space-time continuous distribution water quality result for an input discrete section water quality result. Omnibearing time-space continuous prediction of basin water quality by an artificial intelligence technology is realized, and powerful technical support can be provided for water environment supervision.

The invention discloses an agricultural non-point source pollution risk diagnosis method suitable for an irrigation area. The method comprises the following steps: collecting and processing information; carrying out the operations: agricultural non-point source pollution migration rule research and influence factor identification in an irrigation area; determining influence factors which have relatively large influence on agricultural non-point source pollution in the irrigation area, and respectively calculating the influence factors to form a factor spatial database; performing standardization processing and dimension reduction processing on the influence factors in the factor database, and converting the influence factors into 23 principal components; determining an agricultural non-point source pollution risk diagnosis formula in the irrigation area, calculating an agricultural non-point source pollution risk index of each sub-basin, and performing grading; performing simulation byusing a distributed SWAT model to obtain an agricultural non-point source pollution risk index simulation result of each sub-basin; and judging the accuracy of the calculation result according to thesimulation result. The method can accurately diagnose the agricultural non-point source pollution risk, improves the diagnosis efficiency and feasibility, and saves the cost.

The invention relates to a watershed scale water volume and water quality automatic regulation and control method and device, a storage medium and electronic equipment. The method comprises the following steps: constructing a watershed SWAT model, verifying model parameters of the watershed SWAT model, obtaining the verified watershed SWAT model, and obtaining meteorological data of a target area predicted by an atmospheric circulation mode in a target time period; and obtaining target water quantity and water quality of the target area in the target time period, inputting meteorological data into the verified watershed SWAT model, and obtaining the water quantity and water quality of the target area in the target time period. And a non-dominated sorting genetic method with an elitist strategy is adopted to adjust the water quantity and water quality regulation measure parameters of the optimal management measure in the verified watershed SWAT model until the deviation between the water quantity and water quality of the target time period and the target water quantity and water quality is within a preset threshold range, and the water quantity and water quality regulation measure of the target area is obtained. The labor cost is reduced, and the efficiency and precision of water quantity and water quality regulation and control are improved.

The invention relates to the field of long-term runoff prediction in drainage basins. According to the technical scheme, a monthly runoff prediction method for a drainage basin cascade reservoir system comprises the following steps: S1, obtaining data, and according to the obtained data, calculating CFS lattice point monthly rainfall and drainage basin actually-measured daily and lunar surface average rainfall; S2, fitting a regression relationship between the monthly rainfall of the CFS grid point in the drainage basin in different prediction periods and the actually measured lunar surface rainfall of the drainage basin, and using the relationship for correction of CFS prediction to obtain the lunar surface rainfall of the drainage basin in the next nine months; S3, carrying out time-space downscaling on the predicted lunar surface rainfall of the drainage basin; S4, constructing a distributed hydrological model SWAT suitable for the cascade reservoir system; and S5, predicting the monthly reservoir inflow of each reservoir of the cascade reservoir system by using an SWAT model constructed by predicting the daily scale rainfall of the sub-basin obtained in the S3. The method can predict medium-and-long-term monthly runoff of each reservoir section, and solves the problem of medium-and-long-term runoff prediction of cascade reservoirs in drainage basins.

The invention discloses a quantitative evaluation method for water resource shortage, and belongs to the technical field of water resource evaluation. The method aims at solving the problem that an existing water resource shortage evaluation method only considers the water quantity and neglects the water quality, so that the accuracy of an evaluation result is poor. Comprising the following steps: dividing a target drainage basin into sub-drainage basins; performing hydrological response unit division on each sub-basin by adopting an SWAT initial model; dividing hydrological response units corresponding to the actually measured hydrological data in the database into a training set and a verification set; performing parameter calibration and verification on the SWAT initial model by adopting the training set and the verification set to obtain a final SWAT model; calculating the unit available water amount and the unit water quality; determining the required water quality and the required water quantity of each water consumption type according to the water consumption type; according to the unit available water amount, the unit water quality and the required water quality and the required water amount of each water consumption type, water amount type water deficit amount evaluation and water quality type water deficit amount evaluation are carried out respectively. The method is used for evaluating the water deficit of the target drainage basin.

The invention discloses a method for comprehensively evaluating the influence of climate change on river runoff. The method comprises the following steps: acquiring climate parameters and spatial and temporal change characteristics of the river runoff; analyzing and inspecting the change trend of the climate parameters and the river runoff by adopting an MK trend inspection method based on improved over-whitening, and determining mutation points of the climate parameters and the river runoff; dividing a period before the mutation point into a natural period, and dividing a period after the mutation point into an influence period; based on an SWAT model and an elastic coefficient method, calculating annual average runoff variation caused by climate change in the influence period; and calculating the influence of the climate change on the runoff change according to the annual average runoff change quantity caused by the climate change. According to the method, the multivariate attribution analysis of the climate change on the river runoff change is more objective and accurate, and the method has important practical significance in the aspects of basin water resource evolution analysis and identification, water resource planning management, disaster prevention and reduction, water safety and the like in a changing environment.