39 results about "Runoff coefficient" patented technology

The invention relates to the technical field of data processing, and discloses a geological disaster meteorological risk early warning method and system based on machine learning. The method comprises the following steps: acquiring rainfall intensity, soil saturation, underground water level change and slope runoff coefficient by a multi-source sensor, and constructing a geological disaster meteorological data set; performing sensitivity weight distribution on the meteorological factors according to geological conditions to obtain a weight matrix; carrying out weighted fusion on the weight matrix and meteorological time series data, and extracting features through a geological constraint long-short-term memory network to obtain a risk probability vector; dynamically adjusting an early warning threshold value based on the safety coefficient change rate; and carrying out Bayesian fusion on the risk probability vector and an adaptive early warning threshold to obtain a graded early warning result. The technical problem that an existing geological disaster early warning technology lacks a multivariate meteorological factor intelligent weight distribution and geological condition adaptive threshold adjustment mechanism is solved.

The invention provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining a soil permeability characteristic descending trend and estimating an uncertainty range of a runoff coefficient; obtaining source model data according to the uncertainty range of the runoff coefficient by using a regional pollution production and convergence model; using the one-dimensional river network model to obtain error information according to the source model data, and outputting prediction data; and determining a prediction deviation mode by comparing the prediction data with the real-time monitoring data, and correcting parameters of all related models in the whole model chain. The method aims at solving the technical problem that the permissible discharge amount set based on a three-model coupling system does not conform to the actual absorption capacity of a water body due to continuous nonlinear deviation of river network model prediction and actually measured water quality data in the three-model coupling system, and accurate analysis of the urban pollution load and water environment quality response relation is achieved. And real-time and self-adaptive adjustment of the permissible emission amount is carried out.

The application discloses a kind of regional type's water source conservation function and runoff coefficient's evaluation method, including the following steps: obtaining the optical remote sensing image of the region to be evaluated, soil data, precipitation data and evapotranspiration data, analysis processing;According to the ecological system classification data and soil zoning curve value, the runoff capacity grid of each pixel corresponding to different ecological system types different soil zoning is calculated;Obtain the runoff observation data of the region to be evaluated, combine runoff capacity grid, and the runoff observed is proportionally distributed to each pixel, and the runoff depth of each pixel is obtained;According to precipitation, evapotranspiration and runoff depth, the water source conservation amount and runoff coefficient corresponding to each pixel of the region to be evaluated are obtained.The application relates to the technical field of ecological system water source conservation, and the runoff index and runoff depth of each pixel are calculated by fusing multi-source data, so that the accuracy of evaluating the water source conservation service function and runoff coefficient of the region is improved.

The application provides a method for determining inflow hydrograph of urban stormwater inlet, which is in line with actual urban runoff conditions and can effectively reduce the error of calculation results. The urban area is divided into multiple sub-regions according to the road network, and the net rainfall is discharged from the stormwater inlet, and the single stormwater inlet in the sub-region is calculated respectively; the urban surface runoff is calculated by using the comprehensive runoff coefficient method, and the runoff coefficient not greater than 1 is used to represent the runoff after the rainfall is intercepted and lost on the ground; for the rainfall in the small urban area, the ground water flow is in the form of slope flow and shallow concentrated flow; the catchment time is the sum of the two, the slope flow with a flow line not greater than 90m is calculated by using the Manning dynamics method to calculate the surface runoff flow time; after the slope flow stops flowing for 90m, the shallow concentrated flow with a water depth greater than 3cm appears at this time, and the stormwater inlet design flow inflow calculation formula is: Q = F * (P - S) / (T + 90) wherein Q is the stormwater inlet inflow, L / min; F is the average catchment area controlled by each stormwater inlet, m 2 .

The invention provides a flood prediction method, device and equipment for a mountainous area hydropower station. The method comprises the steps of obtaining meteorological data in a drainage basin where the mountainous area hydropower station is located in real time; the meteorological data comprises rainfall data, flow data and water level data; respectively inputting the meteorological data into a plurality of pre-constructed flood prediction models, and determining a prediction result of each flood prediction model in the current period; wherein the flood prediction model comprises a time sequence model, a hydrological model and an LSTM and runoff coefficient model; determining a prediction error of each flood prediction model according to the prediction result and the water level data in the current period; according to the prediction error, determining a flood prediction model adopted in the next period and a corresponding prediction result; and issuing corresponding flood early warning according to the prediction result of the next period. According to the invention, through a multi-model parallel prediction and dynamic selection mechanism, the adaptation shortages of a single model under a complex water regimen are effectively made up, and the prediction error is further reduced.

This invention relates to the fields of reservoir scheduling, flood control and disaster reduction, and hydrological forecasting, and particularly to a method for calculating reservoir rainfall carrying capacity based on a dynamic runoff coefficient. The method includes the following steps: collecting data including the target reservoir's catchment area, characteristic water level, and water level-capacity relationship curves; establishing a dynamic equation for rainfall-runoff coefficient based on reservoir storage using the initial water level, characteristic water level, and storage capacity relationship curves; collecting and analyzing historical flood data for the target reservoir to generate parameter statistics tables for each flood event; establishing a dynamic equation for rainfall-runoff coefficient based on underlying surface conditions based on the parameter statistics tables for each flood event; and solving the dynamic equations based on reservoir storage and underlying surface conditions simultaneously. This invention relies on real-time water level and real-time rainfall to dynamically calculate reservoir rainfall carrying capacity, thus improving the accuracy of reservoir rainfall carrying capacity calculation.

A rainwater utilization method and system based on a sponge city, a medium and a product, relate to the technical field of sponge cities. The method comprises: obtaining the air conditioning cooling water demand and the low water quality water demand of a current scheduling period of a commercial complex; based on weather data of the current scheduling period, combining the catchment area and the runoff coefficient of the commercial complex, calculating the predicted rainwater inflow; determining the predicted water storage of the current scheduling period; obtaining the water demand and the predicted water storage of the next scheduling period; when it is predicted that the water quantity of the next scheduling period is insufficient, executing a rainwater conservation strategy in the current scheduling period, including calculating the minimum cooling water demand and the minimum irrigation water demand of the greenbelt, prioritizing the predicted water storage to meet the minimum water demand, and storing the remaining water storage to the next scheduling period. The present application solves the problem that the fixed water level grading based static scheduling method cannot cope with the fluctuation of water demand through forward-looking prediction and dynamic conservation strategy, and realizes efficient utilization of rainwater resources.

The application discloses a time-varying runoff coefficient calculation method and system reflecting urbanization underlying surface regulation and storage, and steps are as follows: S1, obtaining rainfall data of a city research area, drawing a column chart and a curve chart of a rainfall process, and extracting high-precision digital surface model data by using high spatial resolution satellite stereo image pair data; S2, performing grid processing on the high-precision digital surface model data, constructing a grid type, and performing land utilization division and extraction analysis; S3, calculating hydrological parameters including a basin water content parameter, vegetation interception, a filling and depression parameter and a infiltration parameter; S4, calculating building roof runoff, effective impervious area, non-effective impervious area, pervious area and water area based on the rainfall process, the land utilization division and the hydrological parameters; and S5, calculating a time-varying runoff coefficient. The application can accurately evaluate the availability of rainfall water resources, provide scientific guidance for urban rainwater collection and utilization, and provide a more reliable basis for urban flood forecasting and drainage system design.

The invention discloses a coupling coordination degree evaluation method and system based on a hydrological environment, drainage and waterlogging prevention facilities and a social system, and belongs to the field of system coupling coordination degree evaluation systems under the background of urban waterlogging. From two analyses, the first criterion layer of the hydrological environment system is rainfall, terrain and water permeability, and the second index layer is annual rainfall, gradient and comprehensive runoff coefficient. The drainage and waterlogging prevention facility system criterion layer is drainage facility and emergency rescue accessibility, the drainage facility index layer is drainage pipe network density, drainage pipe network capacity, pump station capacity and discharge passage density, and the emergency rescue index layer is fire-fighting emergency rescue accessibility. The criterion layer of the social system is economic and safety requirements, the index layer of the economic layer is total citizen production value and house price, and the indexes of the safety requirements are population density, schools and hospitals. And an index weight is calculated by adopting a subjective weight determination method and an objective weighting method, the collaborative development degree of the three systems is quantified, and quantitative evaluation of the coupling coordination degree of the three systems in the region is realized.

The application provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining the downward trend of soil permeability characteristics and estimating the uncertainty range of runoff coefficient; using a regional source-sink pollution model, obtaining source model data according to the uncertainty range of runoff coefficient; using a one-dimensional river network model, obtaining error information and outputting prediction data according to the source model data; and determining the prediction deviation mode by comparing the prediction data and real-time monitoring data and correcting the parameters of all related models in the whole model chain. The method aims to solve the technical problem that the prediction of the river network model deviates from the actual measurement data in a nonlinear manner in a three-model coupling system, which ultimately leads to the inconsistency between the permitted discharge amount set based on the system and the actual water body absorption capacity, and to realize the accurate analysis of the response relationship between the urban pollution load and the water environment quality and the real-time and self-adaptive adjustment of the permitted discharge amount.

The invention discloses a small watershed flood disaster grading monitoring and early warning method based on watershed landform characteristics, and relates to the technical field of small watershed flood monitoring, and the method comprises the following steps: pre-collecting landform topographic data, meteorological hydrological data and ecological hydrological data of a small watershed; the method comprises the following steps: acquiring infiltration capacity f (t) and a slope runoff coefficient C according to acquired landform and topographic data, meteorological and hydrological data and ecological hydrological data of a small watershed, calibrating a runoff production model according to the infiltration capacity f (t) to obtain total runoff production RZ, and calculating flood wave propagation velocity v in real time; and respectively obtaining a flood risk index FRI, a landslide susceptibility index LSI, a debris flow susceptibility index DFI and a soil salinization risk index SSI. According to the method, the runoff production models of different landform types are calibrated, and the total runoff production and the flood wave propagation speed are accurately calculated, so that a scientific basis is provided for obtaining various risk indexes, the risk assessment is more fit with the actual geographical environment and hydrological characteristics of the small watershed, and the accuracy and pertinence of disaster early warning are effectively improved.

This application relates to the field of data processing technology and discloses a method and system for geological disaster meteorological risk early warning based on machine learning. The method includes: collecting rainfall intensity, soil saturation, groundwater level changes, and slope runoff coefficients from multiple sensors to construct a geological disaster meteorological dataset; assigning sensitivity weights to meteorological factors according to geological conditions to obtain a weight matrix; weighting and fusing the weight matrix with meteorological time-series data, and extracting features through a geologically constrained long short-term memory network to obtain a risk probability vector; dynamically adjusting the early warning threshold based on the rate of change of the safety factor; and performing Bayesian fusion of the risk probability vector and the adaptive early warning threshold to obtain a graded early warning result. This application solves the technical problem of the lack of intelligent weight allocation for multiple meteorological factors and adaptive threshold adjustment mechanisms for geological conditions in existing geological disaster early warning technologies.

The application discloses a rainfall correction runoff simulation method, comprising the following steps: obtaining observed precipitation data, measured runoff data and simulated runoff data generated by a hydrological simulation model of a target basin; constructing a multi-year average runoff coefficient based on the observed precipitation data and the simulated runoff data; using the multi-year average runoff coefficient and the measured runoff data to back-calculate the theoretical precipitation, and comparing and quantifying the total precipitation gap of the basin with the observed precipitation data; constructing a spatial feature weight coupled with the area and elevation of an observation site, distributing the total precipitation gap of the basin to each observation site based on the spatial feature weight to generate a rainfall correction coefficient; correcting the observed precipitation data by using the rainfall correction coefficient, and inputting the hydrological simulation model to output a re-simulated runoff process. The application promotes the distribution of the spatial precipitation gap and improves the runoff simulation precision under the premise of satisfying the hydrological mechanism and water mass conservation.

The invention discloses a reservoir level prediction method and system. The method comprises the following steps: establishing a mapping relation between a reservoir level and a reservoir capacity; basic information, historical rainfall data and historical water level data of a reservoir are collected; calculating a historical runoff coefficient based on the historical rainfall data, the historical water level data, the mapping relation between the reservoir water level and the reservoir capacity and the reservoir basic information; predicting the reservoir capacity generated by rainfall according to the estimated rainfall, the reservoir basic information and the historical runoff coefficient; based on the reservoir basic information, the reservoir capacity generated by rainfall and the mapping relation between the reservoir level and the reservoir capacity, the predicted water level after rainfall is obtained. By means of the scheme, the runoff coefficient can be dynamically calculated according to the actual hydrological data of the reservoir, the real rainfall-runoff conversion efficiency of the reservoir can be reflected, along with continuous accumulation of historical data, the calculated historical runoff coefficient can be iteratively optimized and adapt to new hydrological conditions, and the accuracy of the subsequently predicted reservoir water level is higher.

The application provides a flood calculation method and device for urban areas, and belongs to the technical field of urban drainage and flood control and disaster mitigation. The flood calculation method for urban areas comprises obtaining drainage data and divided grid data of the urban area; determining a corresponding runoff into-pipe peak value of each urban block based on a ground comprehensive runoff coefficient, a design rainstorm intensity and an urban block area of each urban block; determining a corresponding water storage parameter of each drainage subarea; and determining an into-pipe flow of each grid based on the corresponding water storage parameter of each drainage subarea, the corresponding runoff into-pipe peak value of each urban block, a runoff and confluence parameter of each urban block and rainfall data. By combining the discrete two-dimensional grid runoff with the generalized water storage unit of the drainage subarea, a numerical processing flow with physical constraints is constructed, and efficient and objective quantitative evaluation of the flood process of the area lacking data is realized.

The invention discloses a city update planning method and device, a medium and equipment, and relates to the technical field of city planning, and the method comprises the steps: obtaining water quality simulation data of a to-be-detected region, inputting the water quality simulation data to a rainstorm flood management model SWMM for water quality simulation, and obtaining an effect value of a water quality theoretical state under a current development condition; obtaining a water quality control target value, pollution source intensity and a runoff coefficient of the to-be-detected area; comparing the effect value of the water quality theoretical state with a target value of water quality management and control, and when the effect value is greater than the target value and for a region with a planning demand, updating the pollution source intensity and the runoff coefficient of the to-be-detected region, and combining water quality simulation data according to the updated pollution source intensity and the runoff coefficient, so as to obtain the water quality management and control result. And performing simulation of the rainstorm flood management model SWMM again, determining the updated effect value until the updated effect value is smaller than or equal to the target value, and obtaining a final urban update planning scheme.

The application provides a tailing pond rainfall safety early warning method, device, medium and computer equipment, the method comprises the following steps: calculating the water quantity into the reservoir based on the rainfall, rainfall intensity and catchment area; combined with the drainage flow, determine the flood discharge capacity difference; further fusion flood discharge difference and water level rising rate, build comprehensive early warning index; according to the index grade, execute grading emergency response measures, including monitoring, increasing drainage, personnel evacuation and sound and light alarm etc.. The surface runoff coefficient and water level sensitivity factor can be dynamically calibrated through the federal learning algorithm to adapt to the hydrological changes in different scenes. At the same time, the method also has a closed loop feedback mechanism, which can judge whether the risk is relieved in real time, if not below the early warning threshold, then automatically upgrade the response level. The method realizes the real-time and accurate evaluation and active response of the tailing pond rainfall risk, improves the sensitivity and robustness of the early warning system, and significantly enhances the safety management ability of the tailing pond.

The invention discloses a method for determining a design water surface line of a multi-direction and multi-point outflow river channel in a plain river network area, which comprises the following steps of: calculating design rainstorm in different recurrence periods and different durations, and carrying out rain pattern time history distribution to obtain a design rainstorm process; analyzing various underlying surfaces of the target area and determining a runoff coefficient; according to the area ratio of various underlying surfaces, designing a rainstorm process and a runoff coefficient, calculating runoff production and confluence, and obtaining an inflow process along the riverway; establishing a river network mathematical model; a riverway along-way inflow process calculated by flow production and concentration in an upstream area is used as a flow boundary, a coastal tide level process or a designed control water level in a leakage bearing area is used as a water level boundary, a plurality of riverway outlet schemes with different frequencies are prepared by combining riverway water level control conditions, and riverway on-way water levels under different schemes are calculated through a river network mathematical model; the water surface line is designed. According to the invention, the planning design and scheduling management capability and level of the multi-direction and multi-point outflow river channel can be improved.

The invention relates to the technical field of municipal administration, and discloses a rainwater pipe network usage amount calculation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the regulation and storage information of regulation and storage facilities arranged in each land block in a target region, the actual area corresponding to each underlying surface in the target region, and the historical rainfall information; calculating the equivalent accounting area of each plot according to the regulation and storage information of the regulation and storage facility of each plot in the target area, the historical rainfall information, the rainfall runoff coefficient of each underlying surface and the actual area; and calculating the rainwater pipe network usage amount of each plot according to the proportion of the equivalent accounting area of each plot in the target area. According to the method, the conditions of rainwater infiltration and accommodation of the regulated and stored facilities are fully considered, and the estimated usage amount of the rainwater pipe network on the basis is more suitable for the actual condition.

This invention belongs to the field of data processing technology, specifically relating to a method and system for flash flood disaster early warning based on meteorological and hydrological collaborative analysis. The method includes: acquiring and processing topographic datasets and rainfall data sequences as model inputs for the target early warning area; acquiring multiple topographic geometric parameters for calculating terrain energy; calculating the current terrain energy; accumulating the unit previous impact rainfall, the mean of previous target rainfall across all grid cells, and the standard deviation of previous target rainfall; calculating the current dynamic runoff coefficient; obtaining the current runoff intensity; calculating the current runoff velocity based on the regulatory effect of dynamic hydrological conditions on the static base flow velocity determined solely by topography; and inputting the current runoff velocities of all grid cells within the target early warning area into a distributed hydrological model for early warning. This invention solves the problem that existing distributed hydrological models cannot dynamically reflect differences in runoff generation and runoff changes.

The invention relates to the technical field of semantic comprehension, in particular to a water and soil conservation report auxiliary auditing system based on semantic comprehension, which comprises a landform data module, a semantic extraction module, a gap recognition module, a classification judgment module and a structure optimization module. According to the method, the position data is detected through normalization processing, the hydrological response trajectory model is input, the multi-source heterogeneous geographic information parameters are integrated, the dynamic association between the runoff coefficient and the soil erosion modulus is established, the influence of data dimension difference is reduced, and the geographic feature quantification precision is improved; a hydrological coefficient threshold is used for screening key areas, water conservation measure information is extracted, target matching verification capability is enhanced, automatic mapping of measures and indexes is realized through an archiving mechanism, abnormal area identification pertinence is enhanced, track gap points and statement context analysis are combined, a classification algorithm is used for identifying a missing mode, dynamic context adaptability is improved, and the method is suitable for mass production. The workload of manual rechecking is reduced, and a closed-loop link from geographic feature analysis to compliance verification is formed.

The invention provides an urban inland inundation factor identification method based on a pipe network model and interpretable machine learning. The method comprises the steps of obtaining rainfall data, importing the rainfall data into an MIKEUrbin waterlogging model for simulation, and obtaining node water depth (inspection well water depth), surface runoff, runoff coefficient, water collecting area, pipeline flow velocity, pipeline flow, pipe length, pipe diameter and water collecting area unit area pipeline capacity; node water depth is used as a target variable, and surface runoff, runoff coefficient, catchment area, pipeline flow velocity, pipeline flow, pipe length, pipe diameter and catchment area unit area pipeline capacity are used as explanatory variables of the waterlogging driving factor model. Establishing a deep learning model by adopting an automatic machine learning method; and performing SHAP interpretability analysis on waterlogging factors of each catchment area, and proposing an optimal rainfall flood management scheme for the catchment area.

The invention relates to the technical field of particle swarm optimization, in particular to a dynamic simulation and intelligent optimization method for reservoir rain receiving capacity based on digital twinning, and the method comprises the steps: obtaining the drainage speed, soil humidity and soil water seepage capacity value of each position in each reservoir and the rainfall intensity of each reservoir in real time; according to the soil characteristics and rainfall characteristics of each reservoir at each moment, obtaining a rain receiving capability value of each reservoir at each moment; acquiring a priority scheduling factor of each reservoir at each moment according to the drainage speed and the spatial distance of each upstream reservoir of each reservoir and the rain holding capacity values of each reservoir and each downstream reservoir at each moment, and acquiring a fitness function of the reservoir group at each moment in combination with the target function of each reservoir at each moment; and obtaining an optimal drainage gate adjustment method of each reservoir at each moment through a particle swarm algorithm. By dynamically acquiring the runoff coefficient and analyzing the constraint relation between the upstream reservoir and the downstream reservoir, the dynamic simulation and optimization effect of the rain receiving capacity of the reservoir is improved.

The invention discloses a runoff prediction method for dynamically correcting hydrological comparison, which belongs to the technical field of hydrological forecasting and comprises the following steps of: S1, acquiring a plurality of factors and a data set which influence runoff, and preprocessing the factors and the data set; s2, performing factor screening according to the preprocessed data set and a plurality of factors influencing runoff, and determining core elements; s3, based on the core element, calculating the similarity between the candidate power station and the research power station, and determining a reference power station; s4, constructing a multiple linear regression model, solving, and updating a runoff coefficient; and S5, based on the updated runoff coefficient, performing weighted fusion, and calculating the runoff of the target power station. According to the method, dependence on actually measured hydrological data is effectively reduced, and a solution which is wide in applicability, accurate and efficient is provided for runoff prediction of drainage basins without data or with data shortage.

The invention discloses a method for soil preparation and vegetation recovery of a waste slag field in an alpine and arid region. The systematic integration technology can efficiently control water and soil loss, through a three-dimensional protection system formed by the slope ecological bag protection slope, the slag top matts and the gravel belt, erosion gully development can be eliminated, and the runoff coefficient is reduced by 60% or above. The water content of the soil is increased by over 50% through multiple water retention designs such as microtopography water collection, non-woven fabric evaporation inhibition, gravel shading and root water retention, and the water condition of the arid region is fundamentally improved. According to the method, a superior habitat is created for vegetation, the survival preservation rate of trees and shrubs exceeds 85%, and high-coverage coverage is rapidly formed for herbaceous plants. Meanwhile, organic improvement such as sheep plate manure enables soil organic matters to be remarkably increased, and soil fertility is continuously improved. Degradable materials are adopted in the whole process to achieve ecological fusion, waste gravels and livestock excrement are recycled, the cost is reduced by 30% or above, and unification of ecological, economic and social benefits is achieved.

The invention discloses a comprehensive runoff coefficient valuing method of an urban hill. The method comprises the following steps: acquiring a topographic map of an urban hill monitoring area and rainfall information and flow information of a monitoring station; preliminarily determining the confluence duration of rainwater flowing from the watershed to the section of the catchment area monitoring station according to the topographic map, and rechecking and determining the confluence duration according to the time difference between the rain peak and the flood peak; according to the rainfall information, the flow information and the catchment area, calculating the rainfall capacity, the water yield and the comprehensive runoff coefficient of the short duration of each rainfall; rainfall capacity of different time periods before a rain peak is obtained according to rainfall information, influences of long-duration rainfall and short-duration rainfall are considered, a relational graph of a short-duration comprehensive runoff coefficient and the long-duration rainfall capacity before the rain peak is drawn, and a working curve of a comprehensive runoff coefficient design value can be obtained; therefore, the calculation precision of the rainwater design flow formula is improved, flood control and drainage safety risks are reduced, and the method can be widely applied to the technical field of urban drainage.

The invention relates to the technical field of data processing, in particular to a sponge park hydrological efficiency dynamic analysis method based on multi-source spatiotemporal data, and the method comprises the steps: obtaining a surface runoff coefficient reference value and a soil steady-state infiltration rate reference value of a target sponge park at the current moment; according to the change rate of the soil moisture content of the target sponge park at the current moment, the strength of the hydrological event, the sediment concentration and the operation duration, the soil steady-state infiltration rate reference value is adjusted, and the dynamic infiltration rate is obtained; adjusting the reference value of the surface runoff coefficient according to the initial soil moisture content, the rainfall intensity, the duration time and the maximum confluence length of the target sponge park at the current moment to obtain a dynamic runoff coefficient; and inputting the dynamic infiltration rate and the dynamic runoff coefficient into the distributed hydrological model, and carrying out real-time monitoring and early warning on the hydrological efficiency of the target sponge park according to an output result of the model, so that the accuracy of analyzing the hydrological efficiency of the sponge park is improved.

The invention discloses a method for testing stability and erosion resistance of a green vegetation side slope, belongs to the technical field of road side slope performance testing, and aims to solve the problem that the stability and erosion resistance of the green vegetation side slope cannot be comprehensively reflected by the existing green vegetation side slope performance testing in the prior art. The method comprises the following steps: laying a cultivation matrix in a matrix box body, and planting target vegetation; clear water is injected into the underground water simulation tank; the runoff water collecting tank and the seepage water collecting tank are mounted below the water outlet end of the matrix box body; starting a rainfall simulation unit; respectively calculating a runoff coefficient, a seepage coefficient, a runoff seepage dynamic ratio and / or a sediment loss rate; and / or drawing a relation curve graph of the runoff seepage dynamic ratio and the rainfall duration and a relation curve graph of the sediment loss rate and the rainfall duration. The method can be used for testing the stability and erosion resistance of the green vegetation slope.

The invention discloses an urban rainfall flood system multi-objective optimization method based on grey-green cooperation, and the method comprises the following steps: (1) constructing a rainfall flood model of a research region: constructing the rainfall flood model through employing an SWMM according to the land use type, topographic data, rainwater pipe network data and the like of the research region, and carrying out the calibration and verification of the model; (2) determining parameters of a gray regulation and storage facility and a green LID facility, wherein the parameters comprise the position and the volume range of the gray regulation and storage facility and the type, the layout proportion and the unit price of the green LID facility; (3) establishing a multi-objective optimization model: setting constraint conditions by taking the total cost, runoff coefficient and node total overflow quantity of the grey and green infrastructure as objective functions, taking the waterlogging risk level of the sub catchment area as a penalty function and taking the volume of the grey regulation and storage facility and the area of the green LID facility as decision variables; and (4) multi-objective optimization solution: based on an NSGA-II algorithm, writing an SWMM interface program, and calling the SWMM to carry out rainfall flood model calculation and scheme optimization to obtain an optimal grey green facility scale scheme.

The application relates to the technical field of urban renewal planning, and discloses a method for optimizing the spatial pattern of impervious surfaces by considering unit differences, which comprises the following steps: step one: based on initial CN values, impervious density, slope and rainfall and other data, a runoff coefficient is calculated, and a runoff minimization target is converted into a linear programming problem; step two: according to the interpretation result of the SCS-CN model, a linear programming condition is set; and according to the actual situation, relevant constraint conditions are set; step three: the result is solved. The application considers the differences in drainage capacity among different hydrological units, realizes the spatial balance of surface water retention, and has the advantages that on one hand, the surface runoff in the high water retention area can be reduced, and on the other hand, the drainage capacity of the area with remaining capacity can be fully utilized.