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Spatial and Temporal Patterns of Soi...
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Dong, Jingnuo.
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Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling./
作者:
Dong, Jingnuo.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
121 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Contained By:
Dissertations Abstracts International82-06B.
標題:
Soil sciences. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27960378
ISBN:
9798557008617
Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling.
Dong, Jingnuo.
Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 121 p.
Source: Dissertations Abstracts International, Volume: 82-06, Section: B.
Thesis (Ph.D.)--Oklahoma State University, 2020.
This item must not be sold to any third party vendors.
This dissertation addressed three research questions related to observing and modeling soil moisture spatial and temporal patterns. 1) What is the spatial pattern like for soil moisture at the mesoscale? A mobile device was used to measure soil moisture along a 150-km transect 18 times over 13 months. Spatial structures of soil moisture, sand content, and precipitation were characterized and compared. Soil texture turned out to exert a stronger influence than precipitation on mesoscale soil moisture patterns. 2) How can we effectively upscale in situ soil moisture measurements to a larger scale? A phase space analysis method was applied to upscale soil moisture from the point-scale to field-scale, and its performance was evaluated and compared to traditional scaling methods - linear regression and CDF matching. The phase space method was not able to improve the prediction accuracy compared to the two traditional scaling methods. 3) How can we discover and model hidden structures in soil moisture temporal dynamics? An approach from computational mechanics, called epsilon-machines, was applied to symbolized soil moisture time series and their first and second order derivatives. Based on the reconstructed epsilon-machines, soil moisture time series exhibit a degree of complexity hidden structures, and unpredictability. Statistical complexities tend to increase with the orders of derivatives for soil moisture processes.
ISBN: 9798557008617Subjects--Topical Terms:
2122699
Soil sciences.
Subjects--Index Terms:
Computational mechanics
Spatial and Temporal Patterns of Soil Moisture: A Study on Soil Moisture Observation and Modeling.
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This dissertation addressed three research questions related to observing and modeling soil moisture spatial and temporal patterns. 1) What is the spatial pattern like for soil moisture at the mesoscale? A mobile device was used to measure soil moisture along a 150-km transect 18 times over 13 months. Spatial structures of soil moisture, sand content, and precipitation were characterized and compared. Soil texture turned out to exert a stronger influence than precipitation on mesoscale soil moisture patterns. 2) How can we effectively upscale in situ soil moisture measurements to a larger scale? A phase space analysis method was applied to upscale soil moisture from the point-scale to field-scale, and its performance was evaluated and compared to traditional scaling methods - linear regression and CDF matching. The phase space method was not able to improve the prediction accuracy compared to the two traditional scaling methods. 3) How can we discover and model hidden structures in soil moisture temporal dynamics? An approach from computational mechanics, called epsilon-machines, was applied to symbolized soil moisture time series and their first and second order derivatives. Based on the reconstructed epsilon-machines, soil moisture time series exhibit a degree of complexity hidden structures, and unpredictability. Statistical complexities tend to increase with the orders of derivatives for soil moisture processes.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27960378
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