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Soil frost measurements have been made at Sleepers River Research Watershed starting in 1983. Measurements were made by U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory from 1983 to 1993, followed by the U.S. Geological Survey from 1993 to the present. Measurements started at 5 sites and has increased to 10 sites. Sites range in elevation from 225 to 670 meters and are in a mix of field and forest types. Soil frost measurements are made with tubes filled with methylene blue solution; on freezing, the methylene blue remains in the liquid phase, yielding clear ice that marks the depth of soil frost (Ricard and others, 1976). Soil frost measurements typically are made 2 to 4 times a month...
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This product releases data on soil physical and hydraulic properties in the area affected by the 2011 Las Conchas Fire in New Mexico, USA. Soil samples were collected in the summer of 2015 to assess the state of the watershed following the 2011 wildfire. Data include soil-hydraulic properties of field-saturated hydraulic conductivity and sorptivity from tension infiltrometer measurements on soil cores. Soil physical properties include bulk density, as-sampled volumetric soil-water content, and saturated volumetric soil-water content for 6-cm length soil cores. Soil properties of soil-particle size, bulk density, and soil organic matter content from loss on ignition for soil core splits of 0-1. 1-3, and 3-6 cm depth....
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Santa Rosa Island, part of Channel Islands National Park off the coast of California, has a undergone a history of ecologic degradation due to introduced ungulate grazing for ranching (cattle and sheep) and hunting (deer and elk) purposes. Grazing in many parts of the island has resulted in widespread vegetation loss and subsequent erosion presumably causing changes in infiltration/runoff relations. In some areas, large sections of bedrock are exposed while other areas have thin soils left with much of the organic-rich materials removed. The reestablishment of healthy ecosystems on land severely degraded by long-term alternative use is challenging. This issue is especially critical in cloud forests where the soil...
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One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide two rasters of excess rainfall for current (2002-2012) and future (2090-2099)...
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This Data Release includes information to support the characterization of surface/near-surface infiltration rates of selected landslide source area materials following Hurricane Maria across Puerto Rico, USA. The dataset includes comma-delimited measurements of field-saturated hydraulic conductivity (Kfs) collected over two field campaigns (Fall 2018 and Spring 2019) as well as laboratory-derived measurements of soil/saprolite texture. The Kfs experiments were conducted within (or in the vicinity of) landslide source areas across the three primary geologic terranes on the island (Bawiec, 1998), including intrusive, volcaniclastic, and submarine basalt/chert lithologies. Depending on site conditions and the hydrologic...
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One of the determinants of runoff is the occurrence of excess rainfall events where rainfall rates exceed the infiltration capacity of soils. To help understand runoff risks, we calculated the probability of excess rainfall events across the Hawaiian landscape by comparing the probability distributions of projected rainfall frequency and land cover-specific infiltration capacity. We characterized soil infiltration capacity based on different land cover types (bare soil, grasses, and woody vegetation) and compared them to the frequency of large rainfall events under current and future (pseudo-global warming) climate scenarios. Here we provide a raster stack that contain the probability of excess rainfall exceeding...
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Dataset includes publicly available geologic and rainfall data, and environmental and ecological data derived or collected for this project. Specifically, water infiltration measurements, interepreted field-saturated hydraulic conductivity values, ungulate activity, vegetation cover, general soil and weather conditions data are included. Soil samples were collected, lab analyzed, and are included in the dataset. Field-collected data are associated with plots that encompassed approximately a 3 x 3 m area; site data represent approximately 20 x 20 m. First posted: 4 March 2020 (available from author) Revised: April 13, 2020 (version 2.0) The revision is provided due to minor refinement of the dataset and updated...
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This map service is an information surface representing the dominant class within the soil map unit polygon for soil drainage class. Each component (and therefore soil map unit polygon) falls into one of the following classes according to NRCS: Very Poorly Drained, Poorly Drained, Somewhat Poorly Drained, Moderately Well Drained, Well Drained, Somewhat Excessively Drained and Excessively Drained. Of soil components which make up greater than or equal to 15% of the soil map unit, the wettest component is reported by the map service. Another service exists for drainage class which reports the dominant class in the soil map unit. The concept is similar but for some purposes knowing the dominant component may be...
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This map service is an information surface representing the dominant class within the soil map unit polygon for soil drainage class. Each component (and therefore soil map unit polygon) falls into one of the following classes according to NRCS: Very Poorly Drained, Poorly Drained, Somewhat Poorly Drained, Moderately Well Drained, Well Drained, Somewhat Excessively Drained and Excessively Drained. The class belonging to the component that makes up the highest percentage of the map unit is reported by the map service. Another service exists for drainage class which reports the wettest class in the soil map unit. The concept is similar but for some purposes knowing the wettest component may be the most useful piece...
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This data release includes minidisk infiltration data as well as geographic data showing the location of each measurement from the Woolsey Fire, Los Angeles County, CA, USA. The Woolsey Fire burned between November 8-21, 2018. Minidisk infiltration data were obtained on November 19-21, 2018, while portions of the fire were uncontained, and prior to any rainfall. The infiltration data are in the comma separated variable (csv) files with the prefix: woolsey_minidisks followed by the site name. For example, the data obtained at site WD-1 are in the file named: woolsey_minidisks_WD-1.csv. Within each csv file there are 5 columns: Level (mL) – the level of the falling head in the minidisk, Minutes, Seconds, and Suction...
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The U.S. Geological Survey Pacific Islands Water Science Center and the University of Hawaii at Manoa Department of Geography, in cooperation with the U.S. Department of Interior Pacific Islands Climate Adaptation Science Center initiated a field data-collection program as part of a study to quantify the impacts of drought on water resources and the importance of cloud-water interception in mitigating the impacts of drought (see Related External Resources link below). The goal of the data-collection program is to provide information for evaluating the role that cloud-water interception in Hawaii’s rain forests has in providing moisture for plants, reducing wildfire risk within the fog zone, and contributing to groundwater...
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The objective of this project was to evaluate the potential for biochar soil amendments to mitigate agricultural drought by characterizing their impacts on soil hydraulics and plant growth across a range of agricultural soil conditions. This data set contains soil water infiltration measurements using Beerkan infiltration rings in four Oregon agricultural soils amended with biochar. Gasified biochars made from wheat straw (AgEnergy, Spokane, WA) and conifer wood (BioLogical, Philomath, OR) were tilled into soils at experimental stations in Madras (loam), Pendleton (silt loam), Aurora (sandy loam), and Klamath Falls (loamy sand). The biochars were incorporated by tillage in fall 2016 to a depth of 12 cm at rates...
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This map service is an information surface which displays the hydrologic soil group class of each soil map unit based upon the dominant component in the soil map unit. Hydrologic soil groups are based on estimates of runoff potential. Soils are assigned to one of four groups according to the rate of water infiltration when the soils are not protected by vegetation, are thoroughly wet, and receive precipitation from long-duration storms. The soils in the United States are assigned to four groups (A, B, C, and D) and three dual classes (A/D, B/D, and C/D). The groups are defined as follows: Group A. Soils having a high infiltration rate (low runoff potential) when thoroughly wet. These consist mainly of deep, well...


    map background search result map search result map Wettest Soil Drainage Class Dominant Soil Drainage Class Dominant Soil Hydrologic Group Soil Physical and Hydraulic Properties in the Area Affected by the 2011 Las Conchas Fire in New Mexico Soil water infiltration in four biochar-amended soils from Oregon, 2018 Summary of soil field-saturated hydraulic conductivity, hydrophobicity, and preferential-flow measurements and soil laboratory-testing results collected at three sites on the islands of Maui and Hawaii, Hawaii, July 2016–January 2018 Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Soil Frost at Sleepers River Research Watershed, Danville, Vermont Hydraulic Property Data at the Santa Rosa Island Cloud Forest Restoration Site 2017-2019, Channel Islands National Park, California, USA Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios Hydraulic Property Data at the Santa Rosa Island Cloud Forest Restoration Site 2017-2019, Channel Islands National Park, California, USA Soil Frost at Sleepers River Research Watershed, Danville, Vermont Woolsey Fire Infiltration Measurements 19-21 November 2018 Santa Monica Mountains, CA Soil Physical and Hydraulic Properties in the Area Affected by the 2011 Las Conchas Fire in New Mexico Summary of soil field-saturated hydraulic conductivity, hydrophobicity, and preferential-flow measurements and soil laboratory-testing results collected at three sites on the islands of Maui and Hawaii, Hawaii, July 2016–January 2018 Hawaiian Islands datasets quantifying the effects of invasive animals and plants on native forests across the archipelago 2019 (ver. 2.0 April 2020) Hawaiian Islands probability of excess rainfall conditions under current (2002-2012) and future (2090-2099) scenarios Hawaiian Islands probability of excess rainfall conditions by land cover type under current (2002-2012) and future (2090-2099) scenarios Soil water infiltration in four biochar-amended soils from Oregon, 2018 Wettest Soil Drainage Class Dominant Soil Drainage Class Dominant Soil Hydrologic Group Infiltration data collected post-Hurricane Maria across landslide source area materials, Puerto Rico, USA