Measurement and Partitioning of Evapotranspiration for Application to Vadose Zone Studies

被引:32
作者
Anderson, Ray G. [1 ]
Zhang, Xudong [2 ]
Skaggs, Todd H. [1 ]
机构
[1] USDA ARS, US Salin Lab, Contaminant Fate & Transport Unit, Riverside, CA 92507 USA
[2] Shenyang Agr Univ, Coll Water Conservancy, Shenyang 110866, Liaoning, Peoples R China
关键词
EDDY COVARIANCE MEASUREMENTS; SUBSURFACE DRIP IRRIGATION; CARBONYL SULFIDE COS; LATENT-HEAT FLUX; ENERGY-BALANCE; STABLE-ISOTOPES; SAP-FLOW; OXYGEN-ISOTOPE; WATER-USE; STOMATAL CONDUCTANCE;
D O I
10.2136/vzj2017.08.0155
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Partitioning evapotranspiration (ET) into its constituent components, evaporation (E) and transpiration (T), is important for numerous hydrological purposes including assessing impacts of management practices on water use efficiency and improved validation of vadose zone models that parameterize E and T separately. However, most long-established observational techniques have short observational timescales and spatial footprints, raising questions about the representativeness of these measurements. In the past 15 yr, new approaches have allowed ET partitioning at spatial scales ranging from the pedon to the globe and at long timescales. In this update, we review some recent methodological developments for partitioning ET. These include micrometeorological approaches involving the flux variance partitioning of high-frequency eddy covariance observations and proxies for photosynthesis and transpiration such as measurements of isotopic fractionation and carbonyl sulfide uptake. We discuss advances in partitioning the energy balance between canopy and soil using remote sensing. We conclude that the flux variance partitioning with raw eddy covariance data and the two-source energy balance approaches with remote sensing platforms may have the greatest potential for partitioning ET, in part because large public repositories of eddy covariance and satellite data could be readily reprocessed to partition ET.
引用
收藏
页码:1 / 9
页数:9
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