Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling

Surface depressions are one of the important impact factors of hydrologic processes and catchment responses. However, in many hydrologic models, the influence of depressions is often simulated in a lumped manner, which results in the insufficient characterization of the filling–spilling–merging–spli...

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Main Authors: Lan Zeng, Haoyong Shen, Yali Cui, Xuefeng Chu, Jingli Shao
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/4/652
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author Lan Zeng
Haoyong Shen
Yali Cui
Xuefeng Chu
Jingli Shao
author_facet Lan Zeng
Haoyong Shen
Yali Cui
Xuefeng Chu
Jingli Shao
author_sort Lan Zeng
collection DOAJ
description Surface depressions are one of the important impact factors of hydrologic processes and catchment responses. However, in many hydrologic models, the influence of depressions is often simulated in a lumped manner, which results in the insufficient characterization of the filling–spilling–merging–splitting dynamics of depressions and the threshold behavior of the overland flow. The objective of the research reported in this paper is to improve the simulation of depression-influenced hydrologic processes by capturing the threshold control of depressions. To achieve this objective, a Depression-oriented Soil and Water Assessment Tool (SWAT-D) is developed. Specifically, the intrinsic changing patterns of contributing area and depression storage are first determined and further incorporated into the SWAT to simulate the filling–spilling of depressions and depression-influenced overland flow dynamics. The SWAT-D was applied to a depression-dominated watershed in the Prairie Pothole Region to evaluate its performance and capability. The simulated and observed hydrographs at the watershed outlet showed good agreement, with only a 7% deviation between the simulated and observed volumes of discharges in 2004. The NSE values for the simulated monthly average discharges during calibration and validation periods were 0.78 and 0.71, respectively, indicating the ability of the SWAT-D in reproducing the depression-influenced catchment responses. In addition, the SWAT-D was compared with other depression-oriented modeling techniques (i.e., the lumped depression approach and probability distribution models), and the comparisons emphasized the improvement of the SWAT-D and the importance of the research reported in this paper.
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spelling doaj.art-dc3b69bb062f4a75871f538c756d641c2023-11-23T22:35:17ZengMDPI AGWater2073-44412022-02-0114465210.3390/w14040652Incorporating the Filling–Spilling Feature of Depressions into Hydrologic ModelingLan Zeng0Haoyong Shen1Yali Cui2Xuefeng Chu3Jingli Shao4School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, ChinaCAGS/Key Laboratory of Karst Dynamics, Institute of Karst Geology, MLR&GZAR, Guilin 541004, ChinaSchool of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, ChinaDepartment of Civil, Construction and Environmental Engineering, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USASchool of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, ChinaSurface depressions are one of the important impact factors of hydrologic processes and catchment responses. However, in many hydrologic models, the influence of depressions is often simulated in a lumped manner, which results in the insufficient characterization of the filling–spilling–merging–splitting dynamics of depressions and the threshold behavior of the overland flow. The objective of the research reported in this paper is to improve the simulation of depression-influenced hydrologic processes by capturing the threshold control of depressions. To achieve this objective, a Depression-oriented Soil and Water Assessment Tool (SWAT-D) is developed. Specifically, the intrinsic changing patterns of contributing area and depression storage are first determined and further incorporated into the SWAT to simulate the filling–spilling of depressions and depression-influenced overland flow dynamics. The SWAT-D was applied to a depression-dominated watershed in the Prairie Pothole Region to evaluate its performance and capability. The simulated and observed hydrographs at the watershed outlet showed good agreement, with only a 7% deviation between the simulated and observed volumes of discharges in 2004. The NSE values for the simulated monthly average discharges during calibration and validation periods were 0.78 and 0.71, respectively, indicating the ability of the SWAT-D in reproducing the depression-influenced catchment responses. In addition, the SWAT-D was compared with other depression-oriented modeling techniques (i.e., the lumped depression approach and probability distribution models), and the comparisons emphasized the improvement of the SWAT-D and the importance of the research reported in this paper.https://www.mdpi.com/2073-4441/14/4/652continuous hydrologic modelingSWATfilling–spilling of depressions
spellingShingle Lan Zeng
Haoyong Shen
Yali Cui
Xuefeng Chu
Jingli Shao
Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
Water
continuous hydrologic modeling
SWAT
filling–spilling of depressions
title Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
title_full Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
title_fullStr Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
title_full_unstemmed Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
title_short Incorporating the Filling–Spilling Feature of Depressions into Hydrologic Modeling
title_sort incorporating the filling spilling feature of depressions into hydrologic modeling
topic continuous hydrologic modeling
SWAT
filling–spilling of depressions
url https://www.mdpi.com/2073-4441/14/4/652
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AT xuefengchu incorporatingthefillingspillingfeatureofdepressionsintohydrologicmodeling
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