| Study on factors influencing irrigation water use coefficient based on principal component analysis and Copula function |
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| DOI：10.7606/j.issn.1000-7601.2020.06.23 |
| Key Words: irrigation water effective utilization coefficient influencing factors head and tail method principal component analysis method PCA-Copula |
| Author Name | Affiliation | | JIA Hao | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Modern Water\|Saving Irrigation Corps, Shihezi, Xinjiang 832000, China | | WANG Zhenhua | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China
Key Laboratory of Modern Water\|Saving Irrigation Corps, Shihezi, Xinjiang 832000, China | | ZHANG Jinzhu | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China | | LI Wenhao | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China | | REN Zuoli | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China | | JIA Zhecheng | School of Hydraulic Engineering, Shihezi University, Shihezi, Xinjiang 832000, China |
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| Abstract: |
| Taking the medium\|sized irrigation area of the 12th Division of Xinjiang Construction Corps as the research object, we used the first\|to\|tail method to calculate the irrigation water utilization coefficient of the four sample irrigation areas in 2018 and 2019. Based on the principal component analysis method for dimensionality reduction of the index system，the Copula function was used to construct the PCA\|Copula evaluation and analysis method to calculate and analyze each influence factor, its degree as well as its law, of water utilization coefficient. The results showed that according to the two\|year calculation and analysis, the irrigation water utilization coefficients of the four sample irrigation areas were all above 0.63, and the maximum value reached 0.668, which was higher than the Xinjiang and national averages of 5.05% and 10.15%, respectively, during the same period. Principal component analysis showed that the channel lining rate (0.944), drip irrigation area ratio (0.746), crop water requirement (0.635), actual irrigation area (0.734), etc. All had a positive contribution rate more than 60%, while the grape growing ratio (-0.586) and irrigation area gross irrigation water consumption (-0.645) had a negative contribution rate of more than 58%. Use the PCA-Copula analysis and evaluation method it was to conclude that the crop planting ratio and water\|saving irrigation project status had a significant influence on the effective utilization coefficient of irrigation water in the Twelve Division medium\|sized irrigation area (P<0.05). The effect of irrigation water effective utilization coefficient was extremely significant (P<0.01), with the correlation coefficients 0.875 and 0.742, respectively. At the same time, the Spearman rank correlation coefficient test and linear regression were used to test the closeness of the PCA-Copula evaluation method and the entropy method. The test results were that the correlation coefficients were 0.87 (P<0.05) and 0.52 (P<0.001), it showed that the PCA-Copula evaluation method was suitable for studying the influencing factors of irrigation water utilization coefficient. |
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