Estimating actual evapotranspiration from stony-soils in montane ecosystems

Parajuli, Kshitij; Jones, Scott B.; Tarboton, David G.; Flerchinger, G. N.; Hipps, Lawrence E.; Allen, L. Niel; Seyfried, M. S.

doi:10.1016/j.agrformet.2018.11.019

Cited by 24 publications

(7 citation statements)

References 57 publications

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“…Existence of RFs in soil alters the hydrological condition of a watershed, and knowledge about their impacts is required in vadose zone hydrology, land surface modeling, groundwater recharge prediction, and environmental planning. In particular, RFs influence evapotranspiration (Parajuli et al., 2019), infiltration (Brakensiek & Rawls, 1994; van Wesemael et al., 1996), and the generation of surface runoff (Poesen & Lavee, 1994; Sauer & Logsdon, 2002). These effects result from variations in bulk density, pore‐size distribution, pore connectivity and, more generally, water retention curve (WRC), and hydraulic conductivity (HCC) of the soil (Li et al., 2020; Naseri et al., 2019; Poesen & Lavee, 1994; Torri et al., 1994).…”

Section: Introductionmentioning

confidence: 99%

Rock fragments influence the water retention and hydraulic conductivity of soils

Naseri

Joshi

Iden

et al. 2023

Vadose Zone Journal

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Rock fragments (RFs) influence soil hydraulic properties (SHPs), and knowledge about the SHPs of stony soils is important in vadose zone hydrology. However, experimental evidence on effective SHPs of stony soils is still scarce and mostly restricted to water‐saturated conditions and low volumetric contents of RFs. We examined the influence of RFs on SHPs through a series of measurements. Stony soils were prepared by packing 250‐cm3 cylinders with soils of two textures (sandy loam and silt loam) and with different volumes of RFs (up to 50% v/v) with a diameter of 8–16 mm. Samples were prepared in a way that the background soils (diameter smaller than 2 mm) had identical bulk density. The simplified evaporation method was used to determine the effective SHPs of stony soils. We used the obtained SHP data to evaluate the performance of models, which predict the effective SHPs of stony soils from SHPs of the background soil. The results highlight the systematic dependency of SHPs on volumetric content of RFs. The difference between modeled and measured SHPs was substantial for cases in which the soil contained a high amount of RFs. Accounting for the moisture content of RFs improved the prediction of the effective water retention curve of stony soils compared with a simple scaling that used only the content of RFs. Among the evaluated models for the effective hydraulic conductivity, the model based on the general effective medium theory showed the best performance, particularly for low RF contents.

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Section: Introductionmentioning

confidence: 99%

Rock fragments influence the water retention and hydraulic conductivity of soils

Naseri

Joshi

Iden

et al. 2023

Vadose Zone Journal

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“…Data‐driven estimation of ET usually invokes the assumption of vertical, one‐dimensional (1D) flow, such that soil‐moisture sensors are placed within a 1D soil column with homogeneous soil properties (Breña Naranjo et al., 2011; Galleguillos et al., 2017; Parajuli et al., 2019). A key advantage of ensemble‐based (Bayesian) data assimilation (DA) methodologies is that their estimates of the relevant system parameters and state variables are equipped with uncertainty (error) bounds (Boso & Tartakovsky, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…A prime example of such strategies for sustainable development is drip irrigation, which is mainly deployed in areas facing severe water scarcity (Lamm et al, 2012;Latif et al, 2016), for crops such as cotton and maize (Sampathkumar et al, 2012). Around 2.9 million acres of croplands in California are equipped with drip irrigation systems, which make up about 60% of all drip irrigation in the US (Anderson, 2019).Data-driven estimation of ET usually invokes the assumption of vertical, one-dimensional (1D) flow, such that soil-moisture sensors are placed within a 1D soil column with homogeneous soil properties (Breña Naranjo et al, 2011;Galleguillos et al, 2017;Parajuli et al, 2019). A key advantage of ensemble-based (Bayesian) data assimilation (DA) methodologies is that their estimates of the relevant system parameters and state variables are equipped with uncertainty (error) bounds (Boso & Tartakovsky, 2022).…”

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confidence: 99%

Fast and Accurate Estimation of Evapotranspiration for Smart Agriculture

Tartakovsky

2023

Water Resources Research

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The ability to quantify evapotranspiration (ET) is crucial for smart agriculture and sustainable groundwater management. Efficient ET estimation strategies often rely on the vertical‐flow assumption to assimilate data from soil‐moisture sensors. While adequate in some large‐scale applications, this assumption fails when the horizontal component of the local flow velocity is not negligible due to, for example, soil heterogeneity or drip irrigation. We present novel implementations of the ensemble Kalman filter (EnKF) and the maximum likelihood estimation (MLE), which enable us to infer spatially varying ET rates and root water uptake profiles from soil‐moisture measurements. While the standard versions of EnKF and MLE update the predicted soil moisture prior to computing ET, ours treat the ET sink term in Richards' equation as an updatable observable. We test the prediction accuracy and computational efficiency of our methods in a setting representative of drip irrigation. Our strategies accurately estimate the total ET rates and root‐uptake profiles and do so up to two‐orders of magnitude faster than the standard EnKF.

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“…Existence of RF in soil alters the hydrological condition of a watershed and knowledge about their impacts is required in vadose zone hydrology, land surface modeling, groundwater recharge prediction and environmental planning. In particular, RF influence evapotranspiration (Parajuli et al, 2019), infiltration (Brakensiek and Rawls, 1994;van Wesemael et al, 1996), and the generation of surface runoff (Sauer and Logsdon, 2002;Poesen and Lavee, 1994). These effects result from variations in bulk density, pore size distribution (PSD), pore connectivity and, more general, water retention curve (WRC), and hydraulic conductivity (HCC) of the soil (Torri et al, 1994;Poesen & Lavee, 1994;Naseri et al, 2019;Li et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Rock fragments influence the water retention and hydraulic conductivity of soils

Naseri

Joshi

Iden

et al. 2022

Preprint

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Rock fragments (RF) influence soil hydraulic properties (SHP) and knowledge about the SHP of stony soils is important in vadose zone hydrology. However, experimental evidence on effective SHP of stony soils is still scarce and mostly restricted to water-saturated conditions and low volumetric contents of RF. We examined the influence of RF on SHP through a series of measurements. Stony soils were prepared by packing 250 cm3 cylinders with soils of two textures (sandy loam and silt loam) and with different volumes of RF (up to 50 % v/v) with a diameter of 8-16 mm. Samples were prepared in a way that the background soils (diameter smaller than 2 mm) had identical bulk density. The simplified evaporation method was used to determine the effective SHP of stony soils. We used the obtained SHP data to evaluate the performance of models, which predict the effective SHP of stony soils from SHP of the background soil. The results highlight the systematic dependency of Rock fragments influence the water retention and hydraulic conductivity of soils

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Estimating actual evapotranspiration from stony-soils in montane ecosystems

Abstract: Highlights i) Numerical simulation of actual evapotranspiration (ET) from natural/montane ecosystems ii) Stone hydraulic properties reveal contribution to soil water availability iii) Effect of soil stone content on actual evapotranspiration was quantified

Cited by 24 publications

References 57 publications

Rock fragments influence the water retention and hydraulic conductivity of soils

Rock fragments influence the water retention and hydraulic conductivity of soils

Fast and Accurate Estimation of Evapotranspiration for Smart Agriculture

Rock fragments influence the water retention and hydraulic conductivity of soils

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