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    Potential Application of Cosmic-Ray Neutron Sensors to Infer Precipitation Rates

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    Author
    Atwood, Joel Edwin
    Issue Date
    2019
    Keywords
    measurements
    neutrons
    precipitation
    soil moisture
    Advisor
    Zreda, Marek G.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    More studies are finding utility in using cosmic-ray neutron sensors (CRNS)s to understand hydrological processes within the environment. This study explores estimating precipitation by analyzing CRNS derived soil moisture time series data. A simple bucket model is employed to estimate precipitation from changes in soil moisture. Two soil moisture time series were simulated by iteratively weighting Hydrus-1D soil moisture profiles to estimate soil moisture observed by the CRNS. The simulated soil moisture time series were used to parameterize the model and better understand the system. The Kling-Gupta Efficiency metric was used to evaluate site performance where a value larger than 0.9 is desired. The model was evaluated at four field sites: Manitou (CO), Santa Rita Mesquite (AZ), Kendall-Walnut Gulch (AZ), and Silver Sword (HI). Due to apparent noise in time series data, temporal aggregation was used to improve performance. The 24-hour aggregated Kling-Gupta Efficiency metric for all sites was 0.92, 0.93, 0.87, and 0.62 respectively. The field results demonstrated some limitations using CRNS derived soil moisture due to environmental noise and uncertainty in measured precipitation. Further field investigations are needed to improve the performance of this method and better understand the nature of the precipitation measured. This method may be useful where direct measurements of precipitation are unavailable, unreliable or poorly represent the required scale.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Hydrology
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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