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Open AccessJournal ArticleDOI

A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling

D. A. Miller, +1 more
- 01 Jan 1998 - 
- Vol. 2, Iss: 2, pp 1-26
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TLDR
In this paper, the authors developed a multilayer soil characteristics dataset for the conterminous United States (CONUS-SOIL) that specifically addresses the need for soil physical and hydraulic property information over large areas.
Abstract
Soil information is now widely required by many climate and hydrology models and soil-vegetation-atmosphere transfer schemes. This pa- per describes the development of a multilayer soil characteristics dataset for the conterminous United States (CONUS-SOIL) that specifically addresses the need for soil physical and hydraulic property information over large areas. The State Soil Geographic Database (STATSGO) developed by the U.S. De- partment of Agriculture-Natural Resources Conservation Service served as the starting point for CONUS-SOIL. Geographic information system and Perl computer programming language tools were used to create map coverages of soil properties including soil texture and rock fragment classes, depth-to-bed- rock, bulk density, porosity, rock fragment volume, particle-size (sand, silt, and clay) fractions, available water capacity, and hydrologic soil group. In- terpolation procedures for the continuous and categorical variables describing these soil properties were developed and applied to the original STATSGO data. In addition to any interpolation errors, the CONUS-SOIL dataset reflects the limitations of the procedures used to generate detailed county-level soil

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Citations
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Urban irrigation in the modeling of a semi-arid urban environment: Ballona Creek watershed, Los Angeles, California

TL;DR: Ballona Creek watershed in Los Angeles, California provides a unique combination of heterogeneous urban land cover, a semi-arid environment, and a large outdoor water-use flux that presents a chall...
Journal ArticleDOI

Effects of Non‐Photosynthetic Vegetation on Dust Emissions

TL;DR: In this paper , the authors implemented a satellite-based total vegetation dataset, which included non-photosynthetic vegetation (NPV), into a regional atmospheric chemistry model and conducted simulations for the year 2016 over the conterminous United States.
Journal ArticleDOI

Exploratory Assessment of Aerial Gamma Radiometrics across the Conterminous United States

TL;DR: In this article, a linear regression model was created between soil properties (clay and sand contents, cation exchange capacity, CaCO₃ equivalent, and pH) and aerial dose rate based on both physiography and parent material type.

Diagnosing Drivers of Reservoir Sedimentation in the Western Us: a Case Study of Prineville Reservoir, Oregon

TL;DR: In this paper, a hydrologically-forced sediment algorithm was used to estimate reservoir sedimentation estimates to improve future planning and to identify the processes and inputs that are most sensitive to sediment accumulation.
References
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Journal ArticleDOI

A closed-form equation for predicting the hydraulic conductivity of unsaturated soils

TL;DR: Van Genuchten et al. as mentioned in this paper proposed a closed-form analytical expression for predicting the hydraulic conductivity of unsaturated soils based on the Mualem theory, which can be used to predict the unsaturated hydraulic flow and mass transport in unsaturated zone.
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Empirical equations for some soil hydraulic properties

TL;DR: In this paper, a power function relating soil moisture and hydraulic conductivity is used to derive a formula for the wetting front suction required by the Green-Ampt equation.
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Estimating generalized soil-water characteristics from texture

TL;DR: In this article, the results from the recent statistical analyses were used to calculate water potentials for a wide range of soil textures, then these were fit by multivariate analyses to provide continuous potential estimates for all inclusive textures.
Journal ArticleDOI

A simple method for determining unsaturated conductivity from moisture retention data

Gaylon S. Campbell
- 01 Jun 1974 - 
TL;DR: In this article, the unsaturated hydraulic conductivity function for soil can be calculated directly from a moisture retention function and a single measurement of hydraulic conductivities at some water content, and agreement of k calculated using this procedure with experimentally determined conductivities for five soil samples was found to be at least as good as with other calculation procedures.
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