Measuring and modeling maize evapotranspiration under plastic film-mulching condition

Li, Sien; Kang, Shaozhong; Zhang, Lu; Ortega-Farías, Samuel; Li, Fusheng; Du, Taisheng; Tong, Ling; Wang, Sufen; Ingman, Mark; Guo, Weihua

doi:10.1016/j.jhydrol.2013.07.033

Cited by 95 publications

(35 citation statements)

References 46 publications

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“…Thus, the daily soil evaporation data helped to well constrain estimates of b 1 and b 2 . The posterior mean value of r STmin from our study was very close to that (20 s m −1 ) reported for spring maize growing in northwestern China obtained by using the least squares fitting method (Li et al, 2013a). The variations of the minimal stomatal resistance (r STmin ) for many natural and cultivated plants have been widely investigated by previous studies (Korner et al, 1979;Pospisilova and Solarova, 1980).…”

Section: Posterior Distribution Of S-w Model Parameterssupporting

confidence: 88%

Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China

Zhu

et al. 2014

Geosci. Model Dev.

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Abstract. Based on direct measurements of half-hourly canopy evapotranspiration (ET; W m−2) using the eddy covariance (EC) system and daily soil evaporation (E; mm day−1) using microlysimeters over a crop ecosystem in arid northwestern China from 27 May to 14 September in 2013, a Bayesian method was used to simultaneously parameterize the soil surface and canopy resistances in the Shuttleworth–Wallace (S–W) model. Four of the six parameters showed relatively larger uncertainty reductions (> 50%), and their posterior distributions became approximately symmetric with distinctive modes. There was a moderately good agreement between measured and simulated values of half-hourly ET and daily E with a linear regression being y = 0.84 x + 0.18 (R2 = 0.83) and y = 1.01 x + 0.01 (R2 = 0.82), respectively. The causes of underestimations of ET by the S–W model was possibly attributed to the microscale advection, which can contribute an added energy in the form of downward sensible heat fluxes to the ET process. Therefore, the advection process should be taken into account in simulating ET in heterogeneous land surfaces. Also, underestimations were observed on or shortly after rainy days, which may be due to direct evaporation of liquid water intercepted in the canopy. Thus, the canopy interception model should be coupled to the S–W model in the long-term ET simulation.

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Section: Posterior Distribution Of S-w Model Parameterssupporting

confidence: 88%

Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China

Zhu

et al. 2014

Geosci. Model Dev.

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“…The average field capacity of 1.2 m depth of the research field is 30.0 cm 3 cm −3 (volumetric water content) and the dry bulk density varies from 1.42 to 1.61 g cm −3 . More details of the experimental site are described by Li et al ().…”

Section: Methodsmentioning

confidence: 99%

Simulation of Irrigation Uniformity and Optimization of Irrigation Technical Parameters Based on the SIRMOD Model under Alternate Furrow Irrigation

Xue

et al. 2017

Irrigation and Drainage

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To evaluate the irrigation distribution uniformity and optimize the suitable combination of irrigation technical parameters for alternate furrow irrigation (AFI) and conventional furrow irrigation (CFI), field experiments on maize were conducted during 2010 and 2012 at the Shiyanghe Experimental Station in the arid area of north‐west China. A surface irrigation simulation model (SIRMOD) was used to optimize the combination of irrigation technical parameters such as field slope, furrow length and inflow rate. From the distribution uniformity (DU) results calculated from measured data in field experiments, under the same kind of soil texture, using the AFI method in the field could improve irrigation distribution uniformity for 9.67, 3.16 and 3.44% under a slope 1.5, 2.0 and 3.0‰ respectively; the relative error of DU between the simulation value from SIRMOD and the calculated value from field experiment was 4.25%, which was in an acceptable range. On the other hand, combinations of irrigation technical parameters of the CFI and AFI methods were simulated using SIRMOD with the distribution uniformity being the evaluation index. For the irrigation technical parameters, field slope ranging from 0 to 3.0‰, inflow rate from 1.0 to 8.0 l s−1 and furrow length from 25 to 300 m were chosen in this paper. Copyright © 2017 John Wiley & Sons, Ltd.

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“…The vertical fluctuations of wind, tem perature, and water vapor density were m easured at 0.1-s intervals, and tem perature and humidity at 10-min intervals. The 10-min statistics (average, variance, and covariance) were computed (Li et al 2013).…”

Section: A Study Sitementioning

confidence: 99%

Multiple Methods to Partition Evapotranspiration in a Maize Field

Ding

et al. 2017

Journal of Hydrometeorology

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Partitioning evapotranspiration (ET) into soil evaporation E and plant transpiration T is important, but it is still a theoretical and technical challenge. The isotopic technique is considered to be an effective method, but it is difficult to quantify the isotopic composition of transpiration ST and evaporation dE directly and continuously; few previous studies determined STsuccessfully under a non-steady state (NSS). Here, multiple methods were used to partition ET in a maize field and a new flow-through chamber system was refined to provide direct and continuous measurement of 67-and SE. An eddy covariance and lysimeter (EC-L)-based method and two isotope-based methods [isotope combined with the Craig-Gordon model (Iso-CG) and isotope using chamber measurement (Iso-M)] were applied to partition ET. Results showed the transpiration fraction F j in Iso-CG was consistent with EC-L at both diurnal and growing season time scales, but Fr calculated by Iso-M was less than Iso-CG and EC-L. The chamber system method presented here to determine ST under NSS and isotope steady state (ISS) was robust, but there could be some de viation in measuring SE. The Fr varied from 52% to 91%, with a mean of 78% during the entire growing season, and it was well described by a function of LAI, with a nonlinear relationship of FT = 0.71LAI014. The results demonstrated the feasibility of the isotope-based chamber system to partition ET. This tech nique and its further development may enable field ET partitioning accurately and continuously and improve understanding of water cycling through the soil-plant-atmosphere continuum.

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Measuring and modeling maize evapotranspiration under plastic film-mulching condition

Cited by 95 publications

References 46 publications

Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China

Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China

Simulation of Irrigation Uniformity and Optimization of Irrigation Technical Parameters Based on the SIRMOD Model under Alternate Furrow Irrigation

Multiple Methods to Partition Evapotranspiration in a Maize Field

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