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Influence of tractor wheel tracks and crusts/seals on runoff: Observations and simulations with the RZWQM
Institution:1. Department of Earth and Environmental Sciences, University of Pavia, Via Ferrata, 1, 27100 Pavia, Italy;2. Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, Italy;3. Department of Geological Engineering, Chang''an University, Yanta Road, 710054 Xi''an, China;4. Research Centre for Plant Protection and Certification, CREA, Via Lanciola, 12A, 50125 Florence, Italy;1. Institute of Geography, University of Innbruck, Austria;2. Austrian Research and Training Centre for Forests, Natural Hazards and Landscape, Austria;3. Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Austria
Abstract:In simulations on the fate of agricultural chemicals applied to crops, accurate partitioning of rainfall between infiltration and runoff is fundamental to chemical runoff predictions. We evaluated the Root Zone Water Quality Model (RZWQM version 3.1) against measured runoff from two field plots (15×45 m with 3% slope) on a Tifton loamy sand (fine-loamy, siliceous, thermic Plinthic Kandiudult). Six simulated rainfall events, each 25 mm h−1 for 2 h, were applied to maize (Zea mays, L.) each year. In the uncalibrated mode, RZWQM under-predicted runoff by 40% on average, with the closest fit for events that occurred after full canopy. Saturated hydraulic conductivity (Ks) accounted for the majority of the uncertainty in predicted runoff. When Ks of the surface crust was back calibrated from the measured runoff, RZWQM predicted runoff closely for the remaining plots and events. Alternatively, using different Ks values for wheel track and crop beds, running the model for each and, then, proportionally assigning runoff also led to predictions that agreed with measured runoff. When spatial and temporal changes in Ks were calibrated to specific conditions at the site, RZWQM effectively predicted runoff.
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