Estimating evapotranspiration and Its components in cotton fields under deficit irrigation conditions

• Autorzy: Wu N. , Yang C. , Luo Y. , Sun L.
• Języki publikacji: EN

Abstrakty

EN

Estimating field crop evapotranspiration (ETc) along with its components of soil evaporation and crop transpiration is crucial for developing effective agricultural water-saving strategies. This study separately estimated ETc and its components in cotton fields using a SIMDualKc dual crop coefficient model. Data from a 2-year experiment (2010-2011) were used for model calibration and validation analysis. The experimental plots were irrigated at 1.00, 0.85, 0.70, 0.55, and 0.45 of full irrigation amount in north Xinjiang, China. Based on the results, SIMDualKc accurately estimated actual evapotranspiration (ETc adj) and its components under deficit drip irrigation conditions. Cotton field transpiration accounted for 85.4-94.3% of the ETc in the study area. Although plastic film significantly limited evaporative water loss, the fraction of water loss was still 5.7-14.6% of irrigation water. The adopted estimation method could lead to better understanding of where and when water loss occurs and how much water should be used for maximal benefit. A better understanding of these factors is critical for sustainable agricultural water management practices.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2019
• Tom: 28
• Numer: 1
• Opis fizyczny: p.392-405,fig.,ref.

Twórcy

autor

Wu N.

• State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
• University of Chinese Academy of Sciences, Beijing, China

autor

Yang C.

• Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

autor

Luo Y.

• State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
• University of Chinese Academy of Sciences, Beijing, China
• Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

autor

Sun L.

• Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

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Identyfikatory

DOI

10.15244/pjoes/80895