Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling

Kumar, Hemendra; Srivastava, Puneet; Lamba, Jasmeet; Diamantopoulos, Efstathios; Ortiz, Brenda V.; Morata, Guilherme; Takhellambam, Bijoychandra S.; Bondesan, Luca

doi:10.1016/j.agwat.2022.107877

Cited by 18 publications

(2 citation statements)

References 55 publications

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“…HYDRUS-1D is used for the optimization of soil hydraulic parameters [32]. Site-specific irrigation scheduling using one-layer soil hydraulic properties [33,34] and inverse modeling has been performed successfully on palm crops [35] using the model. For these reasons, the HYDRUS-1D was selected to test its efficiency with different fertilizer treatments in multi-soil layer.…”

Section: Model Parametrization and Establishmentmentioning

confidence: 99%

Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation

Gupta

Srivastava

et al. 2023

Sustainability

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Potassium (K) is a critical nutrient for crops, as it is a major constituent in fertilizer formulations. With increasing concentrations of K in agricultural soil, it is necessary to understand its movement and retention in the soil. Sub-surface modeling is an alternative method to overcome the exhausting and uneconomical methods to study and determine the actual concentration of K in soil. HYDRUS-1D is considered an effective finite-element model which is suitable for sub-surface modeling. This model requires the input of ground-station meteorological (GM) data taken at a daily timestep for the simulation period. It can be a limiting factor in the absence of ground stations. The study compares K predictions in surface and sub-surface soil layers under Boro rice cultivation obtained with the usage of different meteorological datasets. Thus, the main hypothesis of the study was to validate that, in the absence of GM data, satellite-based meteorological data could be utilized for simulating the K concentration in soil. The two meteorological datasets that are considered in the study included the GM and satellite-derived NASA-Power (NP) meteorological datasets. The usage of a satellite meteorological product at a field scale may help in applying the method to other regions where GM data is not available. The numerical model results were validated with field experiments from four experimental fields which included varied K doses. The concentration in soil was assessed at the regular depths (0–5, 5–10, 10–15, 15–30, 30–45 and 45–60 cm), and at various stages of crop growth, from bare soil and sowing, to the tillering stages. The concentration of K was measured in the laboratory and also simulated through the optimized model. The modeled values were compared with measured values statistically using relative root mean square error (RMSER) and Nash–Sutcliffe modeling efficiency (E) for simulating K concentration in the soil for the Boro rice cropping pattern with both GM data and NP data. The model was found most suitable for the 0–30 cm depth on all days and for all treatment variations.

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Section: Model Parametrization and Establishmentmentioning

confidence: 99%

Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation

Gupta

Srivastava

et al. 2023

Sustainability

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“…Established soil health practices or long-term conservation agriculture can alter the hydrology of agricultural fields through changes to bulk density, organic matter, soil cover, topsoil thickness, root depth, and live root season (Baumhardt et al, 2017). Changes to soil physical properties can alter the field water balance by changing the field evapotranspiration, infiltration rate, and water holding capacity (Kumar et al, 2022;Xu and Mermoud, 2003;Young et al, 2009), which alters the amount of runoff generated. In addition, the magnitude of runoff depends on field soil properties and regional climate characteristics.…”

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confidence: 99%

Applicability and Sensitivity of Field Hydrology Modeling by the Soil Plant Air Water (SPAW) Model Under Changes in Soil Properties

Saha¹,

McMaine²

2023

Journal of the ASABE

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Highlights Changes to soil properties and precipitation scenarios significantly affect the water balance in agro-hydrology. SPAW model is sensitive to simulated runoff and infiltration, but it has limitations in responding to soil compaction and organic matter change. Increasing organic matter (1% to 5%) did not significantly affect runoff or infiltration in silty and sandy loam soil. Low precipitation generates significantly lower runoff (%) and higher infiltration. Abstract. Agricultural practices can change soil properties and the amount of runoff generated from a landscape. Modeling results could be significantly different than expected if the web soil survey or other commonly used remote sensing applications are used as model inputs without site verification. This study assessed the applicability and sensitivity of the Soil-Plant-Air-Water (SPAW) Model for simulating the runoff (%) and infiltration (%) components of the water balance for various soil physical properties, cover crop, and weather variables. Soil profiles in 135 combinations were developed with three soil classes (sandy loam, silt loam, and clay), five organic matter levels (1%, 2%, 3%, 4%, and 5%), three levels of compaction (low, medium, and high), and three topsoil layer thicknesses (7.6 cm, 11.4 cm, and 15 cm). Also, three cover crop treatments were simulated by modifying surface cover and evapotranspiration during the non-growing season. Finally, two precipitation regimes were considered (Iowa City, IA, as high precipitation and Brookings, SD, as low precipitation) to simulate runoff and infiltration. In total, 810 scenarios were run, resulting in over 300 million data points. This study confirmed that soil texture, bulk density, and topsoil thickness significantly (p<0.01) influence runoff generation and infiltration percentage based on the water balance criterion. Interestingly, the SPAW model had no significant response on runoff (%) and infiltration (%) to organic matter levels changing from 1% to 5%. This simulation demonstrates that runoff estimations can be significantly influenced by soil properties that can change due to agricultural conservation practices (ACPs) or, conversely, by compaction events. Inputs to models must account for these changes rather than relying only on historical or remote sensing inputs. Keywords: Agricultural conservation practices, Conservation agriculture, Field hydrology, Infiltration, Runoff, SPAW.

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Preference for water sources and agricultural utilisation among rural households: a case of Akoko district of Ondo State, Nigeria

Olutumise

2024

Discov Water

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Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling

Cited by 18 publications

References 55 publications

Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation

Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation

Applicability and Sensitivity of Field Hydrology Modeling by the Soil Plant Air Water (SPAW) Model Under Changes in Soil Properties

Preference for water sources and agricultural utilisation among rural households: a case of Akoko district of Ondo State, Nigeria

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