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    High‐Frequency Sensor Data Reveal Across‐Scale Nitrate Dynamics in Response to Hydrology and Biogeochemistry in Intensively Managed Agricultural Basins

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    Hansen_et_al-2018-Journal_of_Geophysical_Research__Biogeosciences (1).pdf (4.782Mb)
    Issue Date
    2018-06-20
    Author
    Hansen, Amy T.
    Singh, Arvind
    Publisher
    American Geophysical Union
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
    Rights
    ©2018. American Geophysical Union.All Rights Reserved.
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    Abstract
    Excess nitrate in rivers draining intensively managed agricultural watersheds has caused coastal hypoxic zones, harmful algal blooms, and degraded drinking water. Hydrology and biogeochemical transformations influence nitrate concentrations by changing nitrate supply, removal, and transport. For the Midwest Unites States, where much of the land is used for corn and soybean production, a better understanding of the response of nitrate to hydrology and biogeochemistry is vital in the face of high nitrate concentrations coupled with projected increases of precipitation frequency and magnitude. In this study, we capitalized on the availability of spatially and temporally extensive sensor data in the region to evaluate how nitrate concentration (NO3−) interacts with discharge (Q) and water temperature (T) within eight watersheds in Iowa, United States, by evaluating land use characteristics and multiscale temporal behavior from 5‐year, high‐frequency, time series records. We show that power spectral density of Q, NO3−, and T, all exhibit power law behavior with slopes greater than 2, implying temporal self‐similarity for a range of scales. NO3− was strongly cross correlated with Q for all sites and correlation increased significantly with drainage area across sites. Peak NO3− increased significantly with crop coverage across watersheds. Temporal offsets in peak NO3− and peak Q, seen at all study sites, reduced the impact of extreme events. This study illustrates a relatively new approach to evaluating environmental sensor data and revealed characteristics of watersheds in which extreme discharge events have the greatest consequences.
    Description
    An edited version of this paper was published by AGU. Copyright 2018 American Geophysical Union.
    URI
    http://hdl.handle.net/1808/29854
    DOI
    https://doi.org/10.1029/2017JG004310
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    • Civil, Environmental & Architectural Engineering Scholarly Works [120]
    Citation
    Hansen, A., & Singh, A. (2018).High-frequency sensor data revealacross-scale nitrate dynamics inresponse to hydrology andbiogeochemistry in intensivelymanaged agricultural basins.Journal ofGeophysical Research: Biogeosciences,123, 2168–2182. https://doi.org/10.1029/2017JG004310

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    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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