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contributor authorWenlong Liu
contributor authorBryan Maxwell
contributor authorFrançois Birgand
contributor authorMohamed Youssef
contributor authorGeorge Chescheir
contributor authorShiying Tian
date accessioned2022-01-30T20:42:11Z
date available2022-01-30T20:42:11Z
date issued1/1/2020 12:00:00 AM
identifier other%28ASCE%29IR.1943-4774.0001438.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266968
description abstractThe application of high-frequency measurements could potentially enhance current understanding of the hydrology and biogeochemistry of artificially drained agricultural lands. In addition to intensive drainage flow measurements (every 15 min), two high-frequency sampling systems were implanted to monitor, on an hourly basis, nitrate-nitrogen concentrations [NO3-N] in the drainage outlet and at multiple points in the shallow groundwater. This paper provides a description of this novel in situ measurement system and reports example data obtained during a rainfall event. High-frequency measurements of [NO3-N] at the field edge could potentially advance understanding of agricultural drainage systems, including increased accuracy of (1) nitrate loading estimates, (2) spatiotemporal dynamics of nitrate export during rainfall events, and (3) nonlinear hydrochemical (C-Q) relationship. Combining high-frequency measurements of [NO3-N] in drainage water at the field edge and shallow groundwater within the field gives the opportunity for the next steps in identifying and quantifying key processes, mechanisms, hot moments, and active zones that control nitrate dynamics in drained agricultural land.
publisherASCE
titleMultipoint High-Frequency Sampling System to Gain Deeper Insights on the Fate of Nitrate in Artificially Drained Fields
typeJournal Paper
journal volume146
journal issue1
journal titleJournal of Irrigation and Drainage Engineering
identifier doi10.1061/(ASCE)IR.1943-4774.0001438
page7
treeJournal of Irrigation and Drainage Engineering:;2020:;Volume ( 146 ):;issue: 001
contenttypeFulltext


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