The Relationship and Regression Analysis of Urban Water Supply and Temperature

Urban water supply system and the people’s daily life are closely related. In addition to the urban population, the structure and the scale of economic, the factors affecting the requirement of urban water supply included the meteorological factors such as temperature. Based on Pearson product-momen...

Full description

Saved in:
Bibliographic Details
Published inApplied Mechanics and Materials Vol. 256-259; pp. 2420 - 2423
Main Authors Zhai, Zheng Gan, Weng, Wen Guo, Shi, Heng Hua, Li, Yuan Yuan
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2013
Subjects
Pearson Product-Moment Correlation Coefficient
Temperature
Water Supply
Multiple Regression Analysis
Relationship Analysis
Online AccessGet full text

Cover

More Information
Summary:Urban water supply system and the people’s daily life are closely related. In addition to the urban population, the structure and the scale of economic, the factors affecting the requirement of urban water supply included the meteorological factors such as temperature. Based on Pearson product-moment correlation coefficient, we analyze the relationship between urban water supply and temperature with the actual data of Beijing from 2008 year to 2009 year, and get regression fitting function with multiple regression analysis method. The analysis result can provide the basis for scientific management and accurately predict urban water supply.
Bibliography:Selected, peer reviewed papers from the 2nd International Conference on Civil Engineering and Transportation (ICCET 2012), October 27-28, 2012, Guilin, China
ISBN:9783037855652
3037855657
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.256-259.2420