Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

Finkenbiner, Catherine; Franz, Trenton E.; Gibson, Justin P.; Heeren, Derek M.; Luck, Joe D.

doi:10.1007/s11119-018-9582-5

Cited by 26 publications

(32 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another option is to delineate zones based on soil texture using apparent electrical conductivity (EC a ) maps Zhao et al, 2017) or other hydrogeophysical datasets (Finkenbiner et al, 2018). However, caution must be exercised to determine whether variabilities indicated by EC a maps are due to soil texture, topography, or other differences (Sudduth et al, 2001).…”

Section: Advancesmentioning

confidence: 99%

Identifying Advantages and Disadvantages of Variable Rate Irrigation: An Updated Review

O’Shaughnessy¹,

Evett²,

Colaizzi³

et al. 2019

Applied Engineering in Agriculture

Self Cite

View full text Add to dashboard Cite

Abstract. Variable rate irrigation (VRI) sprinklers on mechanical move irrigation systems (center pivot or lateral move) have been commercially available since 2004. Although the number of VRI, zone or individual sprinkler, systems adopted to date is lower than expected there is a continued interest to harness this technology, especially when climate variability, regulatory nutrient management, water conservation policies, and declining water for agriculture compound the challenges involved for irrigated crop production. This article reviews the potential advantages and potential disadvantages of VRI technology for moving sprinklers, provides updated examples on such aspects, suggests a protocol for designing and implementing VRI technology and reports on the recent advancements. The advantages of VRI technology are demonstrated in the areas of agronomic improvement, greater economic returns, environmental protection and risk management, while the main drawbacks to VRI technology include the complexity to successfully implement the technology and the lack of evidence that it assures better performance in net profit or water savings. Although advances have been made in VRI technologies, its penetration into the market will continue to depend on tangible and perceived benefits by producers. Keywords: Center pivots, Crop water use efficiency, Irrigation, Management zones, Moving sprinkler irrigation systems, Precision irrigation, Sensor based systems.

show abstract

Section: Advancesmentioning

confidence: 99%

Identifying Advantages and Disadvantages of Variable Rate Irrigation: An Updated Review

O’Shaughnessy¹,

Evett²,

Colaizzi³

et al. 2019

Applied Engineering in Agriculture

Self Cite

View full text Add to dashboard Cite

show abstract

“…Zreda et al, 2008Zreda et al, , 2012Desilets et al, 2010;Franz et al, 2015;Kohli et al, 2015;Andreasen et al, 2017). Several studies have used CRNS data to support precision agriculture (Finkenbiner et al, 2019), catchment hydrology (Fersch et al, 2018), snow hydrology (Schattan et al, 2017), land surface modeling (Rosolem et al, 2014;Baatz et al, 2017;Lawston et al, 2017), validation of remote sensing products (Montzka et al, 2017;Babaeian et al, 2018), and understanding vegetation dynamics (Franz et al, 2013). In order to maximize the societal and scientific relevance of SWC data (Vereecken et al, 2008), practical value-added products need to be developed that can estimate both water flux and root zone SWC changes.…”

Section: Introductionmentioning

confidence: 99%

Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications

et al. 2020

Self Cite

View full text Add to dashboard Cite

The Cosmic-Ray Neutron Sensor (CRNS) technique for estimating landscape average soil water content (SWC) is now a decade old and includes many practical methods for implementing measurements, such as identification of detection area and depth and determining crop biomass water equivalent. However, in order to maximize the societal relevance of CRNS SWC data, practical value-added products need to be developed that can estimate both water flux (i.e., rainfall, deep percolation, evapotranspiration) and root zone SWC changes. In particular, simple methods that can be used to estimate daily values at landscape average scales are needed by decision makers and stakeholders interested in utilizing this technique. Moreover, landscape average values are necessary for better comparisons with remote sensing products. In this work we utilize three wellestablished algorithms to enhance the usability of the CRNS data. The algorithms aim to: (1) temporally smooth the neutron intensity and SWC time series, (2) estimate a daily rainfall product using the Soil Moisture 2 Rain (SM2RAIN) algorithm, and (3) estimate daily root zone SWC using an exponential filter algorithm. The algorithms are tested on the CRNS site at the Hydrological Open Air Laboratory experiment in Petzenkirchen, Austria over a 3 years period. Independent observations of rainfall and point SWC data are used to calibrate the algorithms. With respect to the neutron filter, we found the Savitzky-Golay (SG) had the best results in preserving the amplitude and timing of the SWC response to rainfall as compared to the Moving Average (MA), which shifted the SWC peak by 2-4 h. With respect to daily rainfall using the SM2RAIN algorithm, we found the MA and SG filters had similar results for a range of temporal windows (3-13 h) with cumulative errors of <9% against the observations. With respect to daily root zone SWC, we found all filters behaved well (Kling-Gupta-Efficiency criteria > 0.9). A methodological framework is presented that summarizes the different processes, required data, algorithms, and products.

show abstract

“…Few recent studies have focused on the use of CRNP data for the estimation of SHPs with promising results. Both Finkenbiner et al (2018) and Gibson and Franz (2018) combined CRNP data with empirical orthogonal functions to isolate spatial patterns of SHPs in selected agricultural fields. A statistical analysis confirmed that the use of CRNP data can improve the estimate of SHPs at the field scale.…”

mentioning

confidence: 99%

On the Information Content of Cosmic‐Ray Neutron Data in the Inverse Estimation of Soil Hydraulic Properties

Brunetti

Šimůnek

Bogena

et al. 2019

Vadose Zone Journal

View full text Add to dashboard Cite

Core Ideas Cosmic‐ray neutron data are used to inversely estimate soil hydraulic properties. The forward neutron operator COSMIC is coupled with the vadose zone model HYDRUS‐1D. Bayesian analyses confirm the information content of cosmic‐ray neutron data. Observations of soil moisture content from remote sensing platforms can be used in conjunction with hydrological models to inversely estimate soil hydraulic properties (SHPs). In recent years, cosmic‐ray neutron sensing (CRNS) has proven to be a reliable method for the estimation of area‐average soil moisture at field scales. However, its use in the inverse estimation of the effective SHPs is largely unexplored. Thus, the main objective of this study was to assess the information content of aboveground fast‐neutron counts to estimate SHPs using both a synthetic modeling study and actual experimental data from the Rollesbroich catchment in Germany. For this, the forward neutron operator COSMIC was externally coupled with the hydrological model HYDRUS‐1D. The coupled model was combined with the Affine Invariant Ensemble Sampler to calculate the posterior distributions of effective soil hydraulic parameters as well as the model‐predictive uncertainty for different synthetic and experimental scenarios. Measured water contents at different depths were used to assess estimated SHPs. The analysis of both synthetic and actual CRNS data from homogenous and heterogeneous soil profiles, respectively, led to confident estimations of the shape parameters α and n, while higher uncertainty was observed for the saturated hydraulic conductivity. Furthermore, results demonstrated that neutron data are less influenced by local sources of uncertainty compared with near‐surface point measurements. The simultaneous use of CRNS and water content data further reduced the overall uncertainty, opening up new perspectives for the combination of CRNS with other remote sensing techniques for the inverse estimation of the effective SHPs.

show abstract

Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

Cited by 26 publications

References 41 publications

Identifying Advantages and Disadvantages of Variable Rate Irrigation: An Updated Review

Identifying Advantages and Disadvantages of Variable Rate Irrigation: An Updated Review

Practical Data Products From Cosmic-Ray Neutron Sensing for Hydrological Applications

On the Information Content of Cosmic‐Ray Neutron Data in the Inverse Estimation of Soil Hydraulic Properties

Contact Info

Product

Resources

About