Characteristics of Potential Evapotranspiration Changes and Its Climatic Causes in Heilongjiang Province from 1960 to 2019

Tangzhe Nie, Rong Yuan, Sihan Liao, Zhongxue Zhang (), Zhenping Gong, Xi Zhao, Peng Chen, Tiecheng Li, Yanyu Lin, Chong Du, Changlei Dai and Hao Jiang
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Tangzhe Nie: School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, China
Rong Yuan: School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, China
Sihan Liao: School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, China
Zhongxue Zhang: School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
Zhenping Gong: College of Agriculture, Northeast Agricultural University, Harbin 150030, China
Xi Zhao: Department of Science and Technology, Heilongjiang University, Harbin 150006, China
Peng Chen: College of Agricultural Science and Engineering, Hohai University, Nanjing 210024, China
Tiecheng Li: School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
Yanyu Lin: College of Civil Engineering and Water Conservancy, Heilongjiang Bayi Agricultural University, Daqing 163319, China
Chong Du: School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, China
Changlei Dai: School of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, China
Hao Jiang: Xingyang Water Conservancy Bureau, Zhengzhou 450000, China

Agriculture, 2022, vol. 12, issue 12, 1-20

Abstract: Climate change refers to the statistically significant changes in the mean and dispersion values of meteorological factors. Characterizing potential evapotranspiration ( ET 0 ) and its climatic causes will contribute to the estimation of the atmospheric water cycle under climate change. In this study, based on daily meteorological data from 26 meteorological stations in Heilongjiang Province from 1960 to 2019, ET 0 was calculated by the Penman–Monteith formula, linear regression method and the Mann–Kendall trend test were used to reveal the seasonal and inter-annual changing trend of ET 0 . The sensitivity-contribution rate method was used to clarify the climatic factors affecting ET 0 . The results showed that: (1) From 1960 to 2019, the maximum temperature ( T max ), minimum temperature ( T min ) and average temperature ( T mean ) showed an increasing trend, with climate tendency rate of 0.22 °C per decade (10a), 0.49 °C/(10a), 0.36 °C/(10a), respectively. The relative humidity ( RH ), wind speed ( U ) and net radiation ( Rn ) showed a decreasing trend, with a climate tendency rate of −0.42%/(10a), −0.18 m/s/(10a), −0.08 MJ/m 2 /(10a), respectively. (2) ET 0 showed a decreasing trend on seasonal and inter-annual scales. Inter-annually, the average climate tendency rate of ET 0 was −8.69 mm/(10a). seasonally, the lowest climate tendency rate was −6.33 mm/(10a) in spring. (3) ET 0 was negatively sensitive to T min , and RH , while positively sensitive to T max , T mean U and Rn , its sensitivity coefficient of U was the highest, which was 1.22. (4) The contribution rate of U to ET 0 was the highest on an inter-annual scale as well as in spring and autumn, which were −8.96%, −9.79% and −13.14%, respectively, and the highest contribution rate to ET 0 were Rn and T min in summer and winter, whose contribution rates were −4.37% and −11.46%, respectively. This study provides an understanding on the response of evapotranspiration to climatic change and further provides support on the optimal allocation of regional water resource and agricultural water management under climate change.

Keywords: potential evapotranspiration ( ET 0 ); climate change; Penman–Monteith; sensitivity analysis; contribution rate (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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