China Institute of Water Resources and Hydropower Research

Yinong Li

Di Xu

Fuxiang Li

Meijian Bai

Shaohui Zhang

Yuan Shi

Zheng Wei

He Chen

Baozhong Zhang

Zhigong Peng

Jiabing Cai

Yaqi Wang

Xin Han

Caili Wu

Congying Han

Taisheng Du

A farmland reference crop evapotranspiration prediction method based on uncertainty of meteorological factors, includes: S. acquiring a set number of groups of weather forecast data of a prediction region within a preset time period; S. inputting each group of weather forecast data into a Bayesian probability forecast system to obtain corrected weather forecast data; and S. inputting each group of the corrected weather forecast data into a trained RBF neural network, and predicting to obtain a farmland reference crop evapotranspiration. In the present invention, the Bayesian probability forecast system is configured to correct the weather forecast data and eliminate uncertainty of weather forecast data to obtain the accurate reference crop evapotranspiration forecasted by the RBF neural network using these data.

Farmland reference crop evapotranspiration prediction method considering uncertainty of meteorological factors

A simulation method of a surface water movement process in surface irrigation, comprising: acquiring surface relative elevation data, border surface roughness coefficient data and surface water infiltration rate data of a target border check; substituting surface relative elevation data, border surface roughness coefficient data and surface water infiltration rate data into improved full hydrodynamic equations, and performing numerical solution on improved full hydrodynamic equations to obtain a simulated surface water depth value and simulated values of vertical integral average velocities of an irrigation water flow in x-coordinate and y-coordinate directions of a certain measurement site in the target border check at a certain time; and obtaining simulated values of unit width discharge of the irrigation water flow in x-coordinate and y-coordinate directions, respectively according to simulated surface water depth value and simulated values of the vertical integral average velocities of the irrigation water flow in x-coordinate and y-coordinate directions.

Simulation method of surface water flow movement process in surface irrigation

A method for controlling surface irrigation comprising: measuring in real time surface water depths and water stream advancing durations of each of measuring points in a first half of a target farmland block, and substituting them into a surface irrigation model, to obtain initial values of soil infiltration parameters, substituting the initial values into the surface irrigation model, to obtain analog values of surface water depths of each of measuring points having water before a preset measuring point when the water stream in the first half of the target farmland block has advanced to the preset measuring point, by using the objective function that average value of the errors of the measured values that are corresponding to it is minimum, reversely solving and optimizing the soil infiltration parameters, and substituting optimized soil infiltration parameters again into the surface irrigation model, and adjusting an irrigation duration according to the prediction result.

Method for controlling surface irrigation based on surface water depth information

The present invention belongs to the technical field of irrigation and water conservancy, and discloses a method for acquiring anisotropic basin surface roughness and use thereof. The method includes: preselecting two experimental strip fields respectively parallel to length direction and width direction of a target basin, to respectively acquire first surface water flow advancing process data of the two experimental strip fields, where the target basin may be regarded as a square-shaped field; acquiring two pieces of isotropic basin surface roughness respectively by using one-dimensional complete hydrodynamic model for basin irrigation according to the surface water flow advancing process data; and substituting the isotropic basin surface roughness into an elliptic equation that anisotropic basin surface roughness satisfies, to solve anisotropic basin surface roughness of the target basin, the anisotropic basin surface roughness including basin surface roughness components parallel to and perpendicular to shallow furrows on basin surface and crop planting direction in the target basin. The anisotropic basin surface roughness can truly reflect the resistance of the basin surface against the water flow, thereby improving simulation precision of surface irrigation hydrodynamics, and acquiring more accurate irrigation performance indexes.

Method for acquiring anisotropic basin surface roughness and use thereof

A method for irrigating terrain comprising the following steps: generating field surface relative elevation data set using Monte-Carlo simulation; adjusting the simulation data set to ensure it falls in a reasonable numerical range; adjusting the data set to establish certain spatial dependence using Kriging interpolation method; and making further statistical characteristics parameter modification to the data set, so that the final corrected field surface relative elevation data shares the same or similar statistics characteristics parameters as the initial simulation. The method factors in both the randomness and spatial dependence of the field relative elevation distribution, which brings the simulation result closer to the actual micro-topography.

Method for predicting micro-topographic distribution of terrain

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Beijing, China

Yinong Li