Field and Pond Hydrologic Analyses With the Spaw Model

Saxton, K. E.; Willey, Patrick H.; Rawls, W. J.

doi:10.13031/2013.20709

Cited by 9 publications

(2 citation statements)

References 24 publications

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“…Los datos sobre los suelos se obtuvieron de la Carta de Reconocimiento de Suelos del Uruguay a una escala de 1:1.000.000 (7) . Para cada unidad de suelo los datos fisicoquímicos se extrajeron de las calicatas representativas y se utilizó el modelo Soil, Plant, Atmosphere, and Water (SPAW) del US Department of Agriculture (USDA) (8) para determinar los contenidos de agua en la saturación, a capacidad de campo y en el punto de marchitez permanente. Además, se consideró la clasificación de los suelos en grupos hidrológicos (GH) realizada por Durán (9) .…”

Section: Zona De Estudiounclassified

Aplicación del modelo Guía de Crecidas en la cuenca del río Yi, Uruguay

Hastings,

Chreties,

Narbondo

et al. 2024

Agrocienc Urug

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Este estudio se centra en la aplicación/adaptación del modelo Flash Flood Guidance (FFG), desarrollado por la National Weather Service (NWS). El FFG se define como la precipitación total, con una determinada duración, requerida para alcanzar el nivel de bancas en la salida de la cuenca. Dado que en Uruguay no se presentan crecidas repentinas por la respuesta hidrológica más lenta de las cuencas, se evalúa una adaptación del mencionado modelo y se renombra como Flood Guidance (FG). Se analizaron nueve eventos de tormenta sucedidos en la cuenca del río Yi (Uruguay) entre los años 2014 y 2020. Se utiliza el modelo de la Curva Número del Natural Resources Conservation Service (NRCS) para determinar la precipitación efectiva, un modelo simple y ampliamente utilizado. Se consideran dos alternativas para determinar la humedad antecedente del suelo: mediante el uso de un Índice de Precipitación Antecedente (API) y mediante imágenes satelitales SMOS. Se calcula el FG y se compara con el pronóstico de precipitación para determinar si hay riesgo de inundación a la salida de la cuenca. Se contrastan los resultados obtenidos con las observaciones para evaluar la calidad del pronóstico de alerta. Se plantea y analiza su aplicación para la predicción de áreas rurales y agrícolas anegadas a partir de imágenes satelitales Sentinel 2 y el índice NDWI.

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Section: Zona De Estudiounclassified

Aplicación del modelo Guía de Crecidas en la cuenca del río Yi, Uruguay

Hastings,

Chreties,

Narbondo

et al. 2024

Agrocienc Urug

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“…For parameterisation of the models of MMF‐type models, different approaches have been followed: Feng et al (2014), in a Chinese karst environment on a catchment with an area of some 10 km 2 , collected undisturbed soil samples and transferred them into model parameters using literature values from Morgan (2005), Morgan and Duzant (2008) and PTFs from Saxton et al (2006). Vieira, Prats, et al (2014), on burned forest in Portugal at the plot scale, used rainfall experiments for calibration and validation, and soil water content measured with time‐domain reflectometry.…”

Section: Introductionmentioning

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Testing CASE: A new event‐based Morgan‐Morgan‐Finney‐type erosion model for different rainfall experimental scenarios

Brunner,

Weninger,

Schmaltz

et al. 2023

Hydrological Processes

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Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan‐Morgan‐Finney (MMF)‐type model was developed, representing a balanced position between physically‐based and empirical modelling approaches. The resulting model termed ‘calculator for soil erosion’ (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high‐intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte‐Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF‐type models, or with similar datasets.

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Simulated distribution of Eragrostis lehmanniana (Lehmann lovegrass): Soil–climate interactions complicate predictions

et al. 2022

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The invasive perennial grass Eragrostis lehmanniana has expanded rapidly throughout the Sonoran Desert (SD) while remaining sparse and patchily distributed in the neighboring Chihuahuan Desert (CD). As temperatures and patterns in precipitation change, identifying the drivers limiting spread in the CD is needed. Our objectives were (1) to identify the climatic and edaphic factors limiting recruitment of E. lehmanniana throughout the CD and (2) to predict the edaphic and climatic locations in the CD where this species is expected to have higher probabilities of recruitment under future climatic conditions. Recruitment was simulated at 57 locations throughout the CD with a daily, multilayer soil water model (SOILWAT) that was parameterized and tested to develop recruitment parameters for E. lehmanniana using long-term data from research stations in the SD and CD. Logistic regression was used to predict recruitment across the CD using climate and soil factors to create a map of simulated recruitment under current and alternative climate scenarios. Simulated recruitment under current climate was low for most of the CD. However, localized areas with high probabilities (>0.8) occurred along the western transition between the CD and the SD, and in the southern extent of the CD. In general, the CD climate is too cool and dry for rapid and widespread invasion. However, increases to temperature and precipitation are likely to increase recruitment success. Interactions among soil, temperature, and precipitation were important to increases in recruitment of E. lehmanniana and are expected to lead to heterogeneous increases in abundance as climate continues to change. This patchy increase in abundance will result in changes in its geographic distribution that will make predictions in the future challenging.

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Field and Pond Hydrologic Analyses With the Spaw Model

Cited by 9 publications

References 24 publications

Aplicación del modelo Guía de Crecidas en la cuenca del río Yi, Uruguay

Aplicación del modelo Guía de Crecidas en la cuenca del río Yi, Uruguay

Testing CASE: A new event‐based Morgan‐Morgan‐Finney‐type erosion model for different rainfall experimental scenarios

Simulated distribution of Eragrostis lehmanniana (Lehmann lovegrass): Soil–climate interactions complicate predictions

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