Multi-station monthly scale runoff process random generation method

Multi-station monthly scale runoff process random generation method

A multi-station monthly scale runoff process random generation method comprises the steps of determining n river sections needing to be simulated, obtaining monthly scale flow data of each section in m years, and constructing a sample data set; based on the sample data set, a # imgabs0 # dimension j...

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Hauptverfasser: TIAN RUI, CAO HUI, JIA BENJUN, WU BIQIONG, GAO FENGXIAN, ZHANG HAIRONG, ZOU XIANGXI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator TIAN RUI
CAO HUI
JIA BENJUN
WU BIQIONG
GAO FENGXIAN
ZHANG HAIRONG
ZOU XIANGXI
description A multi-station monthly scale runoff process random generation method comprises the steps of determining n river sections needing to be simulated, obtaining monthly scale flow data of each section in m years, and constructing a sample data set; based on the sample data set, a # imgabs0 # dimension joint distribution function of the monthly scale flow process of the n river sections is constructed, and a density function of joint distribution is a Gaussian mixture model; the monthly-scale flow process of n river sections is randomly generated by randomly sampling the joint distribution function, and the monthly-scale flow process of several years is randomly generated by sampling for several times. According to the method, stochastic simulation of the multi-station monthly scale runoff process can be realized, and compared with a multi-station runoff stochastic simulation master station method based on a seasonal regression model, the statistical characteristics, the self-correlation characteristics and the cr
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Multi-station monthly scale runoff process random generation method
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