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Estimating in situ integrated soil m...
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Hausner, Mark B.
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Estimating in situ integrated soil moisture content using fiber-optic distributed temperature sensing (DTS) measurements in the field.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Estimating in situ integrated soil moisture content using fiber-optic distributed temperature sensing (DTS) measurements in the field./
作者:
Hausner, Mark B.
面頁冊數:
133 p.
附註:
Source: Masters Abstracts International, Volume: 48-06, page: 3574.
Contained By:
Masters Abstracts International48-06.
標題:
Hydrology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1476799
ISBN:
9781124019758
Estimating in situ integrated soil moisture content using fiber-optic distributed temperature sensing (DTS) measurements in the field.
Hausner, Mark B.
Estimating in situ integrated soil moisture content using fiber-optic distributed temperature sensing (DTS) measurements in the field.
- 133 p.
Source: Masters Abstracts International, Volume: 48-06, page: 3574.
Thesis (M.S.)--University of Nevada, Reno, 2010.
The measurement of soil water content in the field is complicated by soil heterogeneity, as well as issues of temporal and spatial scales. A particular gap exists in our ability to observe water contents at the field scale, ranging from 0.1 to 80 km2. This work explores the feasibility of using fiber-optic distributed temperature sensing (DTS) observations of the diel temperature cycle to estimate the volumetric water content of the soil profile. Relationships between the thermal properties of bulk soil and the water content of the soil are described, and analytical and numerical models of conductive heat transport are presented. Model results are compared to data collected using a fiber-optic DTS to measure temperature within the soil profile at Valley Vista Ranch, an agricultural site in northern Nevada. Observed temporal phase shifts and diel amplitudes at a depth of 15 cm in the soil profile are compared to the phase shifts and amplitudes predicted by the numerical simulations for the same surface temperature wave. While phase shifts and amplitudes measured in the field return repeatable estimates of the soil thermal properties, these estimates could not be correlated with the volumetric water content of the soil. Potential causes for this discrepancy, including advective heat fluxes, biased surface temperature measurements, and model deficiencies are explored, and recommendations for improvements to future experiments are presented.
ISBN: 9781124019758Subjects--Topical Terms:
545716
Hydrology.
Estimating in situ integrated soil moisture content using fiber-optic distributed temperature sensing (DTS) measurements in the field.
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The measurement of soil water content in the field is complicated by soil heterogeneity, as well as issues of temporal and spatial scales. A particular gap exists in our ability to observe water contents at the field scale, ranging from 0.1 to 80 km2. This work explores the feasibility of using fiber-optic distributed temperature sensing (DTS) observations of the diel temperature cycle to estimate the volumetric water content of the soil profile. Relationships between the thermal properties of bulk soil and the water content of the soil are described, and analytical and numerical models of conductive heat transport are presented. Model results are compared to data collected using a fiber-optic DTS to measure temperature within the soil profile at Valley Vista Ranch, an agricultural site in northern Nevada. Observed temporal phase shifts and diel amplitudes at a depth of 15 cm in the soil profile are compared to the phase shifts and amplitudes predicted by the numerical simulations for the same surface temperature wave. While phase shifts and amplitudes measured in the field return repeatable estimates of the soil thermal properties, these estimates could not be correlated with the volumetric water content of the soil. Potential causes for this discrepancy, including advective heat fluxes, biased surface temperature measurements, and model deficiencies are explored, and recommendations for improvements to future experiments are presented.
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