![]() The spatial patterns of hydrologic response were more immediately informative, much simpler,Īnd less ambiguous, for use in applications ranging from trafficability to irrigation management With georeferenced soil data from the Natural Resource Conservation Service. We then developed a QGIS plugin to construct soil maps combining a classification Soil texture demonstrate that traditional soil texture classification is a poor predictor of hydrologic Differences in classifications based on hydrologic response versus The hydrologic-process-basedĬlassifications were compared to those based on soil texture and a single Using a k-means clustering algorithm, we created soil classificationsīased on the modeled hydrologic responses of these soils. We consider these commonĬonditions to be: drainage from saturation, infiltration onto a drained soil, and combined Meteorological conditions were performed using HYDRUS-1D, spanning textures identifiedīy the United States Department of Agriculture soil texture triangle. We suggest a new approach to soil classification, with aĭetailed example from the science of hydrology. Inappropriate, contributing to bias and uncertainty in applications from slope stability to Here, we show that these traditional soil classifications can be These readily available, georeferenced soil maps and databases are used widely inĮnvironmental sciences. There is a long-established convention for identifying and mapping soils by That control ecosystem services, food production, and many other processes at theĮarth’s surface. Soils lie at the interface between the atmosphere and the subsurface and are a key component If you have questions, please contact us at published version This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. Hydrology and Water Resources, University of Arizona Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape Function The work is made available under the Creative Commons CC0 public domain dedication. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The ease with which hydrologic-process-based classifications can be made, along with the improved quantitative predictions of soil responses and visualization of landscape function, suggest that hydrologic-process-based classifications should be incorporated into environmental process models and can be used to define application-specific maps of hydrologic function. The spatial patterns of hydrologic response were more immediately informative, much simpler, and less ambiguous, for use in applications ranging from trafficability to irrigation management to flood control. We then developed a QGIS plugin to construct soil maps combining a classification with georeferenced soil data from the Natural Resource Conservation Service. Differences in classifications based on hydrologic response versus soil texture demonstrate that traditional soil texture classification is a poor predictor of hydrologic response. The hydrologic-process-based classifications were compared to those based on soil texture and a single hydraulic property, Ks. Using a k-means clustering algorithm, we created soil classifications based on the modeled hydrologic responses of these soils. We consider these common conditions to be: drainage from saturation, infiltration onto a drained soil, and combined infiltration and drainage events. Hydrologic simulations based on common meteorological conditions were performed using HYDRUS-1D, spanning textures identified by the United States Department of Agriculture soil texture triangle. We suggest a new approach to soil classification, with a detailed example from the science of hydrology. Here, we show that these traditional soil classifications can be inappropriate, contributing to bias and uncertainty in applications from slope stability to water resource management. These readily available, georeferenced soil maps and databases are used widely in environmental sciences. There is a long-established convention for identifying and mapping soils by texture. Soils lie at the interface between the atmosphere and the subsurface and are a key component that control ecosystem services, food production, and many other processes at the Earth’s surface. Hydrologic-Process-Based Soil Texture Classifications for Improved Visualization of Landscape Function 2015, 10 (6):e0131299 PLOS ONE
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