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| Web URL(s): | http://www.irrigation.org/IA/FileUploads/IA/Resources/TechnicalPapers/2013/EstimatingDepthOfDailyRainfallInfiltratingTheSoilUsingTheUSDA-NRCSCurveNumberApproach.pdf
Last checked: 10/06/2017
Requires: PDF Reader |
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| Publication Type:
| Proceedings |
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| Author(s): | Crookston, Mark A.;
Hattendorf, Mary |
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| Author Affiliation: | Northern Water, Berthoud, CO |
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| Title: | Estimating depth of daily rainfall infiltrating the soil using the USDA-NRCS curve number approach |
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| Section: | Turf
Other records with the "Turf" Section
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| Source: | Irrigation Show 2013: Technical Session Proceedings. 2013, p. 1-5. |
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| Publishing Information: | [Falls Church, Virginia]: [Irrigation Association] |
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| # of Pages: | 5 |
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| Keywords: | TIC Keywords: Climate-based controllers; Estimation; Infiltration; Irrigation scheduling; Physical properties of soil; Precipitation runoff; Rain impact; Water budget
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| Abstract/Contents: | "Estimating rainfall infiltrating into the soil (rainfall less runoff), is a key input to the checkbook method of irrigation scheduling. The checkbook method is a common tool for managing root zone soil moisture to maintain desired plant health and to conserve water. However, estimating infiltrated rainfall is fraught with uncertainty. It is strongly influenced by: rainfall (intensity, duration, amount), soils (texture, structure, bulk density, surfacesealing), land slope/ topography, antecedent soil water content, and plant cover (type, spatial extent, surface residue/mulch). The USDA-NRCS curve number approach has been used for decades within hydrologic, soils, and water resources communities to estimate infiltrated rainfall. Required inputs include: daily rainfall depth, antecedent soil moisture, and selection of an appropriate curve number reflective of soil texture, land slope, and plant cover. Curve number values directly relate to depth of water intercepted by vegetation canopy and the soil surface before runoff occurs. The curve number approach provides a reasonable balance between simplicity and accuracy to estimate depth of daily rainfall infiltrating soils. It is a significant improvement over use of a simple multiplier applied to measured rainfall or an algorithm based on a single factor such as rainfall intensity." |
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| Language: | English |
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| References: | 5 |
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| Note: | Tables |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Crookston, M. A., and M. Hattendorf. 2013. Estimating depth of daily rainfall infiltrating the soil using the USDA-NRCS curve number approach. p. 1-5. In Irrigation Show 2013: Technical Session Proceedings. [Falls Church, Virginia]: [Irrigation Association]. |
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| Web URL(s):
http://www.irrigation.org/IA/FileUploads/IA/Resources/TechnicalPapers/2013/EstimatingDepthOfDailyRainfallInfiltratingTheSoilUsingTheUSDA-NRCSCurveNumberApproach.pdf
Last checked: 10/06/2017
Requires: PDF Reader |
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MSU catalog number: b9924931 |
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