Purpose: This Coastal and Hydraulics Engineering Technical Note (CHETN) describes a method using the U.S. Soil infiltration rate-Computer simulationĮngineer Research and Development Center (U.S.) 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.Please use this identifier to cite or link to this item:Īnalysis of SURRGO data and obtaining soil texture classifications for simulating hydrologic 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. First, we show a substantial dependence of soil water retention on soil organic content by correlating Van Genuchten soil water retention parameters with soil. We then developed a QGIS plugin to construct soil maps combining a classification with georeferenced soil data from the Natural Resource Conservation Service. Soil texture appears to drive the chemical response by controlling porosity and water retention, and field water content drives biological stress response to moisture fluctuations. In order to provide a scientific basis for management of this type of ecosystem, this paper quantifies the effect of soil organic content on soil water retention and water use by plants. 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. During the data search, 83 articles were looked at, with studies published from 2007 to 2022. Few studies have been conducted on land cover change and soil erodibility in Ethiopia. We consider these common conditions to be: drainage from saturation, infiltration onto a drained soil, and combined infiltration and drainage events. Water-induced soil erodibility is the most severe kind of land degradation, with substantial environmental and social consequences. In addition to the soil media design, the vegetation type has been recorded to significantly influence the hydrological performance of bioretention cells. The main findings of the hydrological simulations show that soil texture exerted a strong control on evapotranspiration and soil moisture patterns, while soil. 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. The bioretention cell’s soil media, being the most essential parameter for runoff reduction, is recommended to be designed for infiltration rates of 2550 mm/h (Liu et al., 2014). 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. Hydrological Processes published by John Wiley & Sons Ltd. water resources data, providing a Single Window source of updated data on water resources & allied themes as a part of the National Hydrology Project. The USDA Soil Texture Triangle was developed to aid in determining soil texture classifications (Figure 2). sand Soil textures have been classified into broad, general categories based on the percentage of sand, silt, and clay in the soil. We refer to the resulting soil types as hydrologic-processes-based soil texture classifications. Soil textures range from dense clays to fine silts to loose s. 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. textured soils such as sand and loamy sand, we propose the use of 0.9 for both con- stants. Specifically, we consider different sets of hydrologic processes for a range of soil conditions, constituting a range of hydrologic settings.

Soil texture hydrological processes