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Partial Least Squares Regression Analysis of Correlation Factors of Water Use Efficiency
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Ke-bai LI, Hui LU, Jun TAO
Water Resources and Power | 2023, 41(1) : 34 - 37
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Water Resources and Power | 2023, 41(1): 34-37
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Partial Least Squares Regression Analysis of Correlation Factors of Water Use Efficiency
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Ke-bai LI, Hui LU, Jun TAO
Affiliations
  • School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
Published: 2023-01-25 doi: 10.20040/j.cnki.1000-7709.2023.20220550
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In order to analyze the influencing factors and their correlations of water use efficiency, incorporate all independent variables and overcome multicollinearity, the partial least squares method was used to study the correlation factors of water use efficiency in 2019 in China. The results show that the partial least square method can describe the correlation between variables effectively. Factors that are highly correlated with water consumption per ten thousand Yuan of GDP are natural conditions, social development level, GDP proportion of added value of primary industry, and the proportion of labor force in the water industry. The overall economic water use efficiency is high in the eastern region and low in the western region. Factors that are highly correlated with actual irrigation water consumption per mu of cultivated land are natural conditions and GDP proportion of added value of primary and secondary industries. Agricultural water use efficiency is high in the central region and low in the western region. Factors highly correlated with the water consumption per ten thousand Yuan of industrial added value are natural conditions, sewage treatment rate, urbanization rate and the capital proportion of water industry. Industrial water efficiency is high in the eastern region and low in the central region. Factors highly correlated with per capita public water consumption are per capita water resources, annual precipitation, sewage treatment rate, per capita GDP and GDP proportion of added value of primary and secondary industries. There is little correlation between regional factors and public water use efficiency. The research results can provide reference for the optimal management and rational utilization of water resources.

industrial water  /  water use efficiency  /  correlation analysis  /  partial least squares regression
Ke-bai LI, Hui LU, Jun TAO. Partial Least Squares Regression Analysis of Correlation Factors of Water Use Efficiency[J]. Water Resources and Power, 2023 , 41 (1) : 34 -37 . DOI: 10.20040/j.cnki.1000-7709.2023.20220550
Year 2023 volume 41 Issue 1
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220550
  • Receive Date:2022-03-22
  • Online Date:2026-01-28
  • Published:2023-01-25
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  • Received:2022-03-22
  • Revised:2022-04-25
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    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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