Journal
AGRICULTURAL WATER MANAGEMENT
Volume 252, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.agwat.2021.106883
Keywords
Evaporation; Transpiration; Evapotranspiration; Partitioning; Maize
Categories
Funding
- Natural Science Foundation of China [41977011, 41907006]
- US National Science Foundation [1623806]
- USDA-NIFA Multi-State Project [4188]
- Directorate For Geosciences
- Division Of Earth Sciences [1623806] Funding Source: National Science Foundation
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Partitioning evapotranspiration (ET) into soil water evaporation (E) and crop transpiration (T) accurately is crucial for effective irrigation management. The study successfully used compatible sensors to measure E and T, showing good agreement with lysimeter ET data overall, but slight discrepancies at different ET rates. Combining different measurement approaches can achieve satisfactory accuracy in partitioning ET.
Understanding the contributions of soil water evaporation (E) and crop transpiration (T) to evapotranspiration (ET) is essential for irrigation management and improving crop water use efficiency. Current methods for partitioning ET are subject to uncertainties, due in part to the scale differences in determining E, T, and ET. In this study, ET of a lysimeter planted with maize (Zea mays L.) was partitioned into E and T using sensors that had compatible measurement scales: E was measured with heat pulse sensors (following the sensible heat balance (SHB) and modified sensible heat balance (MSHB) approaches), and T was measured with sap flow gauges (following the heat-balance sap-flow (HBSF) method). The accuracy of the measurements was evaluated by comparing the sum of E and T values (E + T) to weighing lysimeter ET data. During the study period, E, T, and ET had average values of 0.9, 4.0, and 4.8 mm d-1, respectively, and the fractions of E and T were 19% and 81% of E + T, respectively. In general, the E + T values agreed well with the lysimeter ET data, but slight overestimations and underestimations were observed at relatively small and relatively large ET rates, respectively. By combining the SHB and MSHB approaches and the HBSF method, it is possible to partition ET into E and T with satisfactory accuracy.
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