Chinese Journal of Agrometeorology ›› 2017, Vol. 38 ›› Issue (04): 201-210.doi: 10.3969/j.issn.1000-6362.2017.04.001

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Using Path Analysis to Identify Impacting Factors of Evapotranspiration at Different Time Scales in Farmland

ZHANG Xue-song, YAN Yi-lan, HU Zheng-hua   

  1. 1. Key Laboratory of Meteorological Disaster of Ministry of Education/Jiangsu Key Laboratory of Agricultural Meteorology/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2.University of Chinese Academy of Science, Beijing 100049; 3.Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101
  • Received:2016-08-19 Online:2017-04-20 Published:2017-04-18

Abstract:

Based on the data measured by large-scale weighing lysimeter and agricultural meteorological observation from 2011 to 2015, the distributing characteristics of evapotranspiration at different time scales in winter wheat farmland were analyzed, and the impacting factors were identified by path analysis. The results showed that the change of evapotranspiration displayed a downward-parabola pattern with a single peak at hourly scale, and the maximum evapotranspiration was from 0.9mm·h-1 to 1.1 mm·h-1 and the cumulative value throughout the day was from 7.0mm to 9.1mm on the typical sunny day during flowering-milky stage within 4 years. The mean annual evapotranspiration was 385.4mm, the mean diurnal evapotranspiration was 2.6mm·d-1 and the maximum value was 11.0mm·d-1 during the whole winter wheat growing period. The daily scale variation of evapotranspiration at early growing stage was greater than that at later stage. During the growing season, the evapotranspiration rate was lower during the sowing to turning-green period with an average of 1.1mm·d-1 than that of 4.2mm·d-1 after turning-green period. (2) The impacting factors of evapotranspiration at different time scales mainly included net radiation (Rn), saturated vapor pressure deficit (VPD), ground temperature (Tg0) and soil water content at 20cm (SW20). At hourly scale, VPD had the largest direct effect on evapotranspiration variation on the typical sunny day. Rn and Tg0 affected evapotranspiration indirectly via Rn. The ranking of the decision coefficient of every factor was VPD>Tg0>Rn. At daily scale, Rn, as the most critical factor, had the largest direct impact on evapotranspiration, while VPD had the largest indirect influence. VPD and Tg0 affected evapotranspiration indirectly via Rn and the indirect negative influence of SW20 was imposed by Tg0 path. The ranking of the decision coefficient of impacting factors was Rn>VPD>Tg0>SW20.At the whole growing season scale, Tg0 and Rn were the only two most important factors with direct influence and could drive evapotranspiration change. The decision coefficient indicated that Tg0 could significantly increase the variation of evapotranspiration more than Rn.

Key words: Path analysis, Decision coefficient, Net radiation, Vapor pressure deficit, Crop evapotranspiration