40 results about "River runoff" patented technology

The invention relates to a preliminary site selection method of a large dam-type power plant. The method comprises the following steps that river reaches to be developed are screened according to a river runoff minimum limit value suitable for constructing the large dam-type power plant, and major developing river reaches are determined; hypsographic maps of the major developing river reaches are generated according to satellite terrain data, and the original water levels of the major developing river reaches and the mountain top height are obtained; the river reach of which the width of upstream and downstream riverways at the original water level is larger than that of the riverway suitable for constructing the large dam-type power plant, and multiple riverway width minimal value points are selected as dam alternative sites; each dam alternative site adopts a plurality of backwater heights, and one backwater height of each dam alternative site serves as a dam design scheme; dam parameters of all the dam design schemes are determined; the inundated area and the effective reservoir volume of reservoirs in the dam design schemes are determined; the installed capacities and the reservoir volume coefficients of the power plant in the dam design schemes are calculated; all the dam design schemes are output.

The invention discloses a dynamic simulation method for recharging groundwater with surface water, comprising the following steps: assembling equipment: connecting a surface water input unit, a groundwater input unit, a discharge unit, a flow monitoring unit, a river simulation unit, a vadose zone simulation unit and a Aquifer Modeling Unit; Groundwater Flow Field Modeling: Controls the connection between the groundwater input unit and the aquifer modelling unit, and the connection between the discharge unit and the aquifer modelling unit to obtain a stable subsurface flow field; Infiltration modelling: Controls the surface water input unit The connection with the river simulation unit and the connection between the discharge unit and the river simulation unit, and obtain the infiltration amount and effective replenishment amount of the vadose zone; infiltration monitoring: the flow monitoring unit monitors the internal and external conditions of the vadose zone simulation unit. The aquifer simulates the moisture content or liquid level in the unit; and realizes dynamic and three-dimensional monitoring of the influence of infiltration moisture on groundwater flow under different river runoff conditions.

The present invention provides a method for quantitatively evaluating water resource effects of ecological protection and restoration in the river source region. The method comprises the following steps: obtaining soil hydrological characteristic parameters through a prototype ecological hydrological observation test; constructing distributed ecological hydrological simulation of a research area;and finally, according to hydrological characteristic parameters obtained in the preliminary period and the constructed distributed ecological hydrological model, setting scenario plans, comparing theecological hydrological process simulated by each scenario plan with that before the measures are taken, and quantitatively analyzing water resource effects after different ecological protection measures are taken. According to the method provided by the present invention, the problem of applicability of the existing ecological hydrological model in solving the ecological hydrological process simulation in the large-scale, high-cold and high-altitude river source region is solved, and the experimental observation data is directly compared with the model parameters, so that the method can provide a scientific basis for quantitative analysis on water conservation and river runoff effects generated by large-scale ecological protection and restoration measures.

The embodiment of the invention provides a parameter optimization method and system for a river runoff and sediment model. The method specifically comprises the steps of generating a model calculationgrid; collecting an initial field and boundary information of a region to be predicted of a riverway, and forming an information file of the region to be predicted; discretely solving the runoff andsediment model according to the information file of the region to be predicted; adopting a Latin hypercube sampling method LHS to conduct stratified sampling on multiple parameters of the runoff and sediment model in a feasible region, and obtaining multiple parameter groups; based on the combination of model parameters, solving the river runoff and sediment model, obtaining the corresponding likelihood values of each parameter group; setting a likelihood threshold, and deleting the corresponding parameter groups with the likelihood values lower than the preset threshold; sorting the likelihood values corresponding to the remaining parameter groups to determine an uncertainty interval; using a GLUE cumulative method to analyze the regional sensitivity of the likelihood values. The method can solve the problem that the prediction accuracy of the model is poor due to incorrect expression of the parameters.

The invention discloses a quantitative analysis method for river runoff change caused by climate change and human activities. The method comprises the steps of collecting hydrological and meteorological information, water resource evaluation data and human activity information in a basin, judging a mutation point of an annual runoff process, wherein the part before the mutation point is a natural stage of the basin and the part after the mutation point is an influence stage of the basin, the entire natural runoff sequence is reconstructed by using the hydrological and meteorological information of the natural stage, using hydrological model rating model parameters and then using meteorological information of the whole period, and analyzing the contribution of climate change and human activities to the river runoff change by using the difference between the reconstructed natural runoff and the actually measured runoff. By adopting the quantitative analysis method for river runoff change caused by climate change and human activities, in combination with situations such as hydrological and meteorological factor changes, land use changes and water use in the basin, the binary attribution analysis of the river runoff change caused by climate change and human activities is extended to quaternary attribution analysis of the river runoff change caused by rainfall change, climate change, land use change and water use.

The invention provides a method for judging a remarkable influence period of human activities on river flow. The method includes collecting and studying long-sequence monthly hydrometeorological data in a river basin; preliminarily judging years of change in remarkable influence on yearly flow due to the human activities; screening a hydrologic model suitable for the studied river basin; simulating a full-sequence flow process; counting simulation error standard quantity SREi of each year on yearly flow; drawing a yearly process of the simulation error standard quantity; judging the remarkable influence period of the human activities on the river flow according to the circumstance that the yearly process deviates from a horizontal axis. On the basis of mathematic statistics and hydrologic process physical simulation methods, the influence period of the human activities on the river flow is diagnosed, possible influence of climate factors on the river flow is scientifically abandoned, a diagnosis result is uniform with actual conditions of the human activities in the river basin, and misjudgment on the remarkable influence period of the human activities due to influence, of the climate elements, on a hydrologic sequence when a conventional method is adopted is avoided effectively, so that the given diagnosis result is more scientific and reasonable.

Provided is a monthly river runoff volume prediction method based on compressed sensing. The method comprises the steps that information related to a river is collected for preprocessing, observation data of a time sequence is subjected to fitting through a compressed sensing method, a proper model is trained, curve fitting is conducted, and the monthly river runoff volume predicted corresponding to each month is obtained. According to the monthly river runoff volume prediction method based on compressed sensing, under the frame of a compressed sensing theory, a time sequence prediction mathematical model is built by means of the maximum likelihood estimation, a parameter estimation comes down to a typical compressed sensing problem, parameters are solved by applying an augmented lagrange function method, and then time sequence prediction is conducted.