Weighing Lysimeters for the Determination of Crop Water Requirements and Crop Coefficients

Marek, Thomas H.; Piccinni, Giovanni; Schneider, A. D.; Howell, Terry A.; Jett, M.; Dusek, D. A.

doi:10.13031/2013.22256

Cited by 49 publications

(26 citation statements)

References 21 publications

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“…Lysimeters have long been used in research for the direct measurement of evapotranspiration of a crop, varying in form and scale (MAREK et al, 2006). Due to advances in microelectronics, enabling the data acquisition in instantaneous scale, the high accuracy and low hysteresis, several authors have reported the use of weighting lysimeter as a standard tool in studies of water loss of crops, even to determine ETc and crop coefficient (Kc) as well as the calibration of estimative agrometeorological models, according to a review by CAMPECHE (2002).…”

Section: Introductionmentioning

confidence: 99%

Evapotranspiration and crop coefficient of drip irrigated watermelon in Piaui coastline, Brazil

et al. 2012

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Section: Introductionmentioning

confidence: 99%

Evapotranspiration and crop coefficient of drip irrigated watermelon in Piaui coastline, Brazil

et al. 2012

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“…They were irrigated using a furrow irrigation system supplied by siphons and a head ditch. A monolithic lysimeter contains an undisturbed soil core that has a similar soil structure (soil layering and properties) as the surrounding field [17]. Both fields were equipped with net radiometers (REBS, Campbell Scientific International (CSI), Logan, UT, USA).…”

Section: Study Areamentioning

confidence: 99%

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and Validation

2015

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The Surface Energy Balance Algorithm for Land (SEBAL) is one of the remote sensing (RS) models that are increasingly being used to determine evapotranspiration (ET). SEBAL is a widely used model, mainly due to the fact that it requires minimum weather data, and also no prior knowledge of surface characteristics is needed. However, it has been observed that it underestimates ET under advective conditions due to its disregard of advection as another source of energy available for evaporation. A modified SEBAL model was therefore developed in this study. An advection component, which is absent in the original SEBAL, was introduced such that the energy available for evapotranspiration was a sum of net radiation and advected heat energy. The improved SEBAL model was termed SEBAL-Advection or SEBAL-A. An important aspect of the improved model is the estimation of advected energy using minimal weather data. While other RS models would require hourly weather data to be able to account for advection (e.g., METRIC), SEBAL-A only requires daily averages of limited weather data, making it appropriate even in areas where weather data at short time steps may not be available. In this study, firstly, the original SEBAL model was evaluated under advective and non-advective conditions near Rocky Ford in southeastern Colorado, a semi-arid area where afternoon advection is common occurrence. The SEBAL model was found to incur large errors when there was advection (which was indicated by higher wind speed and warm and dry air). SEBAL-A was then developed and validated in the same area under standard surface conditions, which were described as healthy alfalfa with height of 40-60 cm, without water-stress. ET OPEN ACCESSRemote Sens. 2015, 7 15047 values estimated using the original and modified SEBAL were compared to large weighing lysimeter-measured ET values. When the SEBAL ET was compared to SEBAL-A ET values, the latter showed improved performance, with the ET Mean Bias Error (MBE) reduced from −17.1% for original SEBAL to 2.2% for SEBAL-A and the Root Mean Square Error (RMSE) reduced from 25.1% to 10.9%, respectively. It was therefore concluded that the developed SEBAL-A model was capable of accounting for advection and therefore suitable for arid and semi-arid regions where advection is common.

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“…Shapes include square Schneider et al 1998), circular (Pruitt and Angus 1960;McFarland et al 1983;Meshkat et al 1999;Seyfried et al 2001;Yang et al 2003;Young et al 1997), and rectangular (Schneider et al 1996;Malone et al 2000;Klocke et al 1985;Tyagi et al 2003;Marek et al 2006). The size of lysimeters also varies significantly.…”

Section: Introductionmentioning

confidence: 99%

“…In monolithic lysimeters, the soil inside the lysimeter is an intact soil core (Marek et al , 2006Malone et al 2000;Seyfried et al 2001;Meshkat et al 1999). In reconstructed or repacked lysimeters, the soil inside the lysimeter is disturbed soil that is repacked to try and mimic the characteristics of the intact soil (McFarland et al 1983;Yang et al 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Weighing lysimeters have been designed using different weighing mechanisms. Weighing mechanisms include hydraulic (Hanks and Shawcroft 1965;Klocke et al 1985;Seyfried et al 2001), suspended load cells (Allen and Fisher 1990;Tyagi et al 2003), deck scales (Marek et al 2006;Schneider et al 1998;Kirkham et al 1984), load cells installed at the bottom of the lysimeter (Allen and Fisher 1990;McFarland et al 1983), single load cell with counter-balance (Pruitt and Angus 1960;van Bavel and Myers 1962;Hunsaker et al 2002;Marek et al 1988;Malone et al 2000;Meshkat et al 1999;Young et al 1997;Yoder et al 2005), and flexurelevel action balance with a load cell (Howell et al 1985;Phene et al 1989).…”

Section: Introductionmentioning

confidence: 99%

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Construction, installation, and performance of two repacked weighing lysimeters

Payero¹,

Irmak

2007

Irrig Sci

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Weighing lysimeters are the standard method for directly measuring evapotranspiration (ET). This paper discusses the construction, installation, and performance of two (1.52 m × 1.52 m × 2.13-m deep) repacked weighing lysimeters for measuring ET of corn and soybean in West Central Nebraska. The cost of constructing and installing each lysimeter was approximately US $12,500, which could vary depending on the availability and cost of equipment and labor. The resolution of the lysimeters was 0.0001 mV V −1 , which was limited by the data processing and storage resolution of the datalogger. This resolution was equivalent to 0.064 and 0.078 mm of ET for the north and south lysimeters, respectively. Since the percent measurement error decreases with the magnitude of the ET measured, this resolution is adequate for measuring ET for daily and longer periods, but not for shorter time steps. This resolution would result in measurement errors of less than 5% for measuring ET values of ≥3 mm, but the percent error rapidly increases for lower ET values. The resolution of the lysimeters could potentially be improved by choosing a datalogger that could process and store data with a higher resolution than the one used in this study.

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Weighing Lysimeters for the Determination of Crop Water Requirements and Crop Coefficients

Cited by 49 publications

References 21 publications

Evapotranspiration and crop coefficient of drip irrigated watermelon in Piaui coastline, Brazil

Evapotranspiration and crop coefficient of drip irrigated watermelon in Piaui coastline, Brazil

SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and Validation

Construction, installation, and performance of two repacked weighing lysimeters

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