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

Ying ZhaoCollege of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, ChinaHaixia WangCollege of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, ChinaBing SongCollege of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, ChinaPengfei XueCollege of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, ChinaWangchen ZhangCollege of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, ChinaStephan PethLeibniz University Hannover, Institute of Soil Science, Herrenhäuser Str. 2, Hannover 30419, GermanyRobert L. HillDepartment of Environmental Science and Technology, University of Maryland, College Park, MD 20742, USARainer HornInstitute of Plant Nutrition and Soil Science, Christian-Albrechts-University zu Kiel, Olshausenstr. 40, Kiel 24118, Germany
2023en
ABI

Аннотация

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.

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