Reducing pesticide transport in surface and subsurface irrigation return flow in specialty crop production

Abdi, Damon E.; Owen, James S.; Wilson, Patrick C.; Hinz, Francisca Ordonez; Cregg, Bert M.; Fernandez, R. Thomas

doi:10.1016/j.agwat.2021.107124

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…Second, one-third of the world's irrigated land is affected by the soil salinization issue, which is likely to bring a significant loss of arable lands (Singh et al, 2019). Third, the non-point pollution is another issue over irrigated areas, with return flows that may contain high concentrations of nutrients (García-Garizábal et al, 35 2012) and/or pesticides (Abdi et al, 2021).…”

Section: Introduction 30mentioning

confidence: 99%

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

Laluet

Olivera-Guerra

Altés³

et al. 2023

Preprint

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Abstract. In semi-arid irrigated environments, the agricultural drainage is at the heart of three agro-environmental issues: it is an indicator of water productivity, it is the main control to prevent soil salinization and waterlogging problems, and it is related to the health of downstream ecosystems. Crop water balance models combined with subsurface models can be used to estimate the drainage quantities and dynamics at various spatial scales. However, the precision (capacity of a model to fit the observed drainage using site-specific calibration) and accuracy (capacity of a model to approximate observed drainage using default input parameters) of such models have not yet been assessed in irrigated areas. To fill the gap, this study evaluates four parsimonious drainage models based on the combination of two surface models (RU and SAMIR) and two subsurface models (Reservoir and SIDRA) with varying complexity levels: RU-Reservoir, RU-SIDRA, SAMIR-Reservoir, and SAMIR-SIDRA. All models were applied over two sub-basins of the Algerri-Balaguer irrigation district, northeastern Spain, that are equipped with surface and subsurface drains driving the drained water to general outlets where the discharge is continuously monitored. Results show that RU-Reservoir is the most precise (average KGE (Q0.5) of 0.87), followed by SAMIR-Reservoir (average KGE (Q0.5) of 0.79). However, SAMIR-Reservoir is the most accurate model for providing rough drainage estimates using the default input parameters provided in the literature.

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Section: Introduction 30mentioning

confidence: 99%

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

Laluet

Olivera-Guerra

Altés³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Occurrence, spatiotemporal dynamics, and ecological risk of fungicides in a reservoir-regulated basin

Zhu

Ouyang

Guo

et al. 2023

Environment International

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Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

Laluet,

Olivera-Guerra,

Altés

et al. 2024

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. In semi-arid irrigated environments, agricultural drainage is at the heart of three agro-environmental issues: it is an indicator of water productivity, it is the main control to prevent soil salinization and waterlogging problems, and it is related to the health of downstream ecosystems. Crop water balance models combined with subsurface models can estimate drainage quantities and dynamics at various spatial scales. However, such models' precision (capacity of a model to fit the observed drainage using site-specific calibration) and accuracy (capacity of a model to approximate observed drainage using default input parameters) have not yet been assessed in irrigated areas. To fill the gap, this study evaluates four parsimonious drainage models based on the combination of two surface models (RU and SAMIR) and two subsurface models (Reservoir and SIDRA) with varying complexity levels: RU-Reservoir, RU-SIDRA, SAMIR-Reservoir, and SAMIR-SIDRA. All models were applied over two sub-basins of the Algerri–Balaguer irrigation district, northeastern Spain, equipped with surface and subsurface drains driving the drained water to general outlets where the discharge is continuously monitored. Results show that RU-Reservoir is the most precise (average KGE (Q0.5) of 0.87), followed by SAMIR-Reservoir (average KGE (Q0.5) of 0.79). However, SAMIR-Reservoir is the most accurate model for providing rough drainage estimates using the default input parameters provided in the literature.

show abstract

Reducing pesticide transport in surface and subsurface irrigation return flow in specialty crop production

Cited by 3 publications

References 38 publications

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

Occurrence, spatiotemporal dynamics, and ecological risk of fungicides in a reservoir-regulated basin

Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models

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