Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe

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dc.identifier.uri http://dx.doi.org/10.15488/17040
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/17168
dc.contributor.author Zhao, Ying
dc.contributor.author Wang, Haixia
dc.contributor.author Song, Bing
dc.contributor.author Xue, Pengfei
dc.contributor.author Zhang, Wangchen
dc.contributor.author Peth, Stephan
dc.contributor.author Lee Hill, Robert
dc.contributor.author Horn, Rainer
dc.date.accessioned 2024-04-15T07:35:28Z
dc.date.available 2024-04-15T07:35:28Z
dc.date.issued 2023
dc.identifier.citation Zhao, Y.; Wang, H.; Song, B.; Xue, P.; Zhang, W. et al.: Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe. In: Geoderma 440 (2023), 116713. DOI: https://doi.org/10.1016/j.geoderma.2023.116713
dc.description.abstract Assessing root sources of three uncertainties – parameterization of soil hydraulic characteristics, boundary conditions, and estimation of source/sink terms – is a significant challenge in soil water transport modeling. This study aims to evaluate the uncertainty of three each widely-used parameter estimation methods affecting plot-scale water dynamics. The study employs HYDRUS, a process-based hydrologic model, to incorporate these uncertainties and compare model predictions to measured values in a semiarid Inner Mongolia steppe, China. Soil hydraulic parameters are determined using two direct methods (laboratory-derived approach and evaporation method) and one indirect method (neural network). While each hydraulic parameter method generally simulates soil moisture dynamics, the evaporation method performed better, especially under dry conditions. This suggests that measuring the intensity properties, such as unsaturated hydraulic conductivity, with the evaporation method is crucial for reasonable soil moisture simulation. The study also demonstrates the impact of different applied boundary conditions on simulated soil moisture, specifically the partitioning of reference FAO evapotranspiration via one direct method (soil fraction cover) and two indirect methods (leaf area index and crop height). The partitioning via soil fraction cover reflected a better simulation. Additionally, the study compares the uncertainties of root water uptake function with root growth parameters and constant root depth referenced to grass and pasture, and finds no significant difference among them. Comparing three sources of uncertainty in predicting soil moisture, the study concludes that the input soil hydraulic parameter is more sensitive than evapotranspiration partitioning or representation of root water uptake function. Our study highlights that measuring soil intensity properties can better reflect the effects of land use change, such as compaction, on field water transports. eng
dc.language.iso eng
dc.publisher Amsterdam [u.a.] : Elsevier Science
dc.relation.ispartofseries Geoderma 440 (2023)
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Evapotranspiration eng
dc.subject Root water uptake eng
dc.subject Soil moisture simulation eng
dc.subject Uncertainty analysis eng
dc.subject Unsaturated hydraulic conductivity eng
dc.subject.ddc 550 | Geowissenschaften
dc.subject.ddc 910 | Geografie, Reisen
dc.title Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe eng
dc.type Article
dc.type Text
dc.relation.essn 1872-6259
dc.relation.issn 0016-7061
dc.relation.doi https://doi.org/10.1016/j.geoderma.2023.116713
dc.bibliographicCitation.volume 440
dc.bibliographicCitation.firstPage 116713
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich
dc.bibliographicCitation.articleNumber 116713


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