2009Journal of Heilongjiang Hydraulic EngineeringRequires access

Linearity Simulation of Hydrological Data

Tian Peng

Open publisher page 0 citations

Abstract

Linearity simulation is used in hydrological calculation.Least Square Method is often applied to simulate linear generally,but this method doesn't have the double direction and can't reach the whole optimal effect.In order to improve its precision,it adopts Least Distance Square Method for linearity simulation.This method considers the deviation of x and y.It makes the sum of linear distance square between point and line minimum.Comparing to traditional method,its linear equation is not changed by the selection of coordinate system and its result is more practically.A case study is applied to discuss it primarily.

About this research paper

What this paper is about

Linearity simulation is used in hydrological calculation.Least Square Method is often applied to simulate linear generally,but this method doesn't have the double direction and can't reach the whole optimal effect.In order to improve its precision,it adopts Least Distance Square Method for linearity simulation.This method considers the deviation of x and y.It makes the sum of linear distance square between point and line minimum.Comparing to traditional method,its linear equation is not changed by the selection of coordinate system and its result is more practically.A case study is applied to discuss it primarily.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Linearity simulation is used in hydrological calculation.Least Square Method is often applied to simulate linear generally,but this method doesn't have the double direction and can't reach the whole optimal effect.In order to improve its precision,it adopts Least Distance Square Method for linearity simulation.This method considers the deviation of x and y.It makes the sum of linear distance square between point and line minimum.Comparing to traditional method,its linear equation is not changed by the selection of coordinate system and its result is more practically.A case study is applied to discuss it primarily.

Key concepts: Linearity, Square (algebra), Mathematics, Statistics, Applied mathematics, Computer science, Algorithm, Mathematical optimization

Related papers

Back to paper searchBrowse research topicsOriginal source
Linearity Simulation of Hydrological Data — Research Paper | ScholarLens