Modified PCA for Water Use Efficiency Research

2014 ◽  
Vol 1051 ◽  
pp. 482-488
Author(s):  
Ren Fu Jia ◽  
Jun Wei ◽  
Hai Jin
Keyword(s):  
Water Use Efficiency ◽  
Influencing Factors ◽  
Water Use ◽  
Stepwise Regression ◽  
Principal Component ◽  
Polluted Water ◽  
Theory Analysis ◽  
Use Efficiency ◽  
Object Of Study ◽  
And Control

In order to analyze the water use efficiency of Jiangsu by the method of quantitive research, this article takes the water use amount per ten thousand Yuan GDP as object of study, and discusses the influencing factors of water use efficiency to give the suggestion of policy , regular and control. Theory analysis and expects consulting have been used to get 21 potential influencing factors. Then we get the regression equation which contains water use amount per ten thousand Yuan GDP as the dependent variable, and 21 mentioned factors as independent variables through introducing collected factors’ dates in the period of 1997~2010 into the stepwise regression which is on the basis of principal component analysis. As a result, the major four factors have been got: irrigation area per capita, Industry polluted water standard drainage, education cost, proportion the output value of tertiary industry accounting for of GDP. And this research works for the water use efficiency red line investigation in the future.

scholarly journals Driven Factors Analysis of China’s Irrigation Water Use Efficiency by Stepwise Regression and Principal Component Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Renfu Jia ◽  
Shibiao Fang ◽  
Wenrong Tu ◽  
Zhilin Sun
Keyword(s):  
Principal Component Analysis ◽  
Water Use Efficiency ◽  
Water Use ◽  
Irrigation Water ◽  
Stepwise Regression ◽  
Principal Component ◽  
Irrigation Water Use Efficiency ◽  
Irrigation Water Use ◽  
Use Efficiency ◽  
Major Factors

This paper introduces an integrated approach to find out the major factors influencing efficiency of irrigation water use in China. It combines multiple stepwise regression (MSR) and principal component analysis (PCA) to obtain more realistic results. In real world case studies, classical linear regression model often involves too many explanatory variables and the linear correlation issue among variables cannot be eliminated. Linearly correlated variables will cause the invalidity of the factor analysis results. To overcome this issue and reduce the number of the variables, PCA technique has been used combining with MSR. As such, the irrigation water use status in China was analyzed to find out the five major factors that have significant impacts on irrigation water use efficiency. To illustrate the performance of the proposed approach, the calculation based on real data was conducted and the results were shown in this paper.

scholarly journals Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China

PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0230963
Author(s):  
Ke-Liang Wang ◽  
Jianguo Wang ◽  
Jianming Wang ◽  
Lili Ding ◽  
Mingsong Zhao ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Influencing Factors ◽  
Water Use ◽  
Yangtze River ◽  
Green Water ◽  
Use Efficiency

scholarly journals The use of physiological, biochemical and morpho-anatomical traits in tree breeding for improved water-use efficiency of Quercus robur L.

2019 ◽  
Vol 28 (3) ◽  
pp. e017
Author(s):  
Srđan Stojnić ◽  
Branislav Kovačević ◽  
Marko Kebert ◽  
Erna Vaštag ◽  
Mirjana Bojović ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Water Use ◽  
Stepwise Regression ◽  
Stomatal Density ◽  
Common Garden ◽  
Path Coefficient ◽  
Common Garden Experiment ◽  
Intrinsic Water Use Efficiency ◽  
Use Efficiency ◽  
One Year

Aim of study: In the present paper we studied the nature and level of co-dependence between leaf functional traits and intrinsic water-use efficiency (WUEi)in one-year-old Quercus roburL. seedlings, grown in a common garden experiment under moderate drought conditions. The study aimed to identify those traits that might be potentially utilized to improve leaf-level WUEi, and therefore be used in breeding programmes to enhance drought adaptation of Q. roburtree species.Area of study: The study was carried out at the common garden experiment established within UNESCO Biosphere Reserve Mura-Drava-Danube.Material and methods: The study involved one-year-old seedlings of eight half-sib lines of Q. robur. We analyzed 18 leaf parameters; i.e. physiological, biochemical, morphological and anatomical. Data were processed using multivariate statistical methods: a) principal component analysis, b) stepwise regression analysis, and c) path coefficient analysis.Main results: The results evidenced that leaf stomatal traits, particularly stomatal density (SD),and leaf dry mass per unit leaf area (LMA) were the most important traits associated closely with WUEi.Stomatal density achieved the highest score on PC1 (0.825), in which WUEihad the highest loading (0.920), as well. SDwas also included first in stepwise regression model. Research highlights: The results demonstrated that under moderate water stressWUEiin Q. robur half-sib lines were mainly the result of the plants’ structural acclimation to surrounding environmental conditions.

Spatiotemporal Dynamics of Green Total-factor Water-use Efficiency and Its Influencing Factors in China

2021 ◽  
Vol 31 (5) ◽  
pp. 795-814
Author(s):  
Dalai Ma ◽  
Fengtai Zhang ◽  
Lei Gao ◽  
Guangming Yang ◽  
Qing Yang ◽  
...  
Keyword(s):  
Water Use Efficiency ◽  
Influencing Factors ◽  
Water Use ◽  
Spatiotemporal Dynamics ◽  
Use Efficiency
Sign in / Sign up

Export Citation Format

Share Document