Giménez Díaz, Rafael
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Giménez Díaz
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Rafael
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Ingeniería
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IS-FOOD. Research Institute on Innovation & Sustainable Development in Food Chain
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Publication Open Access In-situ assessment of the spatial arrangement of step-pool units on eroded rills(wiley, 2019) Govers, G.; Campo-Bescós, Miguel; Zubieta Laseca, Elena; Giménez Díaz, Rafael; Ingeniaritza; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; IngenieríaPublication Open Access Implications of recent experimental findings for rill erosion modeling(Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, 2007) Govers, G.; Giménez Díaz, Rafael; Van Oost, K.; Proyectos e Ingeniería Rural; Landa Ingeniaritza eta ProiektuakThe major aim of this paper is to critically review the theoretical concepts that are underpinning current models of rill flow and sediment detachment in the light of recent experimental results and, when necessary, to propose modifications to the theoretical formulations so that they are in agreement with experimental evidence. We also investigate to what extent a detachment model of reduced complexity, which is based on experimental observations, is consistent with field observation on the effect of topography on rill erosion.Publication Open Access Experimental evidence that rill-bed morphology is governed by emergent nonlinear spatial dynamics(Springer Nature, 2022) Morgan, Savannah; Huffaker, Ray; Giménez Díaz, Rafael; Campo-Bescós, Miguel; Muñoz Carpena, Rafael; Govers, G.; Institute on Innovation and Sustainable Development in Food Chain - ISFOODPast experimental work found that rill erosion occurs mainly during rill formation in response to feedback between rill-flow hydraulics and rill-bed roughness, and that this feedback mechanism shapes rill beds into a succession of step-pool units that self-regulates sediment transport capacity of established rills. The search for clear regularities in the spatial distribution of step-pool units has been stymied by experimental rill-bed profiles exhibiting irregular fluctuating patterns of qualitative behavior. We hypothesized that the succession of step-pool units is governed by nonlinear-deterministic dynamics, which would explain observed irregular fluctuations. We tested this hypothesis with nonlinear time series analysis to reverse-engineer (reconstruct) state-space dynamics from fifteen experimental rill-bed profiles analyzed in previous work. Our results support this hypothesis for rill-bed profiles generated both in a controlled lab (flume) setting and in an in-situ hillside setting. The results provide experimental evidence that rill morphology is shaped endogenously by internal nonlinear hydrologic and soil processes rather than stochastically forced; and set a benchmark guiding specification and testing of new theoretical framings of rill-bed roughness in soil-erosion modeling. Finally, we applied echo state neural network machine learning to simulate reconstructed rill-bed dynamics so that morphological development could be forecasted out-of-sample.