Abstract
Surface depressions significantly influence hydrologic processes. In traditional semidistributed models, however, the entire area is connected to the outlet of a watershed and surface depressions are often lumped as a single depth to control runoff water release. As a result, hydrologic processes related to topographic characteristics of depressions cannot be directly simulated. The objective of this study is to quantify the impact of depressions on rainfall-runoff processes and the mechanism of dynamic water release from depressions. To achieve this objective, a new semidistributed depression-oriented hydrologic model (HYDROL-D) is developed. Unlike the traditional methods, a unique modeling framework is proposed in HYDROL-D to facilitate separate modeling for the depressional area (DA) and nondepressional area (NDA) of each subbasin. A DA is further divided into time-varying contributing area (CA) and ponding area (PA). A depression-dominated delineation (D-cubed) algorithm is utilized to provide specific characteristics of surface depressions (e.g., maximum depression storage and maximum ponding area at various depression levels for all subbasins), which are processed to define the characteristic areas (i.e., NDA, DA, CA, and PA), varying functions of CA and PA, and the hierarchical control thresholds for water release in HYDROL-D. The model was applied to a site in North Dakota, compared with the widely-used hydrologic modeling system Hydrologic Engineering Center, Hydrologic Modeling System (HEC-HMS), and calibrated using the observed data. The results demonstrated that because of the discontinuity caused by depressions, only a small portion of the study area contributed water directly to the outlet. The new modeling framework was able to effectively account for the dynamic processes associated with surface depressions. In addition, compared with the single threshold, multiple hierarchical control thresholds showed a better ability to reveal the mechanism of dynamic water release from depressions.
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Acknowledgments
This material is based upon work supported by the National Science Foundation under Grant No. NSF EPSCoR Award IIA-1355466. The North Dakota Water Resources Research Institute also provided partial financial support in the form of a graduate fellowship for the first author.
References
Almendinger, J. E., M. S. Murphy, and J. S. Ulrich. 2014. “Use of the Soil and Water Assessment Tool to scale sediment delivery from field to watershed in an agricultural landscape with topographic depressions.” J. Environ. Qual. 43 (1): 9–17. https://doi.org/10.2134/jeq2011.0340.
Amoah, J. K., D. M. Amatya, and S. Nnaji. 2013. “Quantifying watershed surface depression storage: Determination and application in a hydrologic model.” Hydrol. Process. 27 (17): 2401–2413. https://doi.org/10.1002/hyp.9364.
Chu, X. 2017. “Delineation of pothole-dominated wetlands and modeling of their threshold behaviors.” J. Hydrol. Eng. 22 (1): D5015003. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001224.
Chu, X., J. Yang, Y. Chi, and J. Zhang. 2013. “Dynamic puddle delineation and modeling of puddle-to-puddle filling-spilling-merging-splitting overland flow processes.” Water Resour. Res. 49 (6): 3825–3829. https://doi.org/10.1002/wrcr.20286.
Chu, X., J. Zhang, Y. Chi, and J. Yang. 2010. “An improved method for watershed delineation and computation of surface depression storage.” In Proc., 2010 Watershed Management Conf., Innovations in Watershed Management under Land Use and Climate Change, edited by K. W. Potter and D. K. Frevert, 1113–1122. New York: ASCE.
Darboux, F., P. Davy, C. Gascuel-Odoux, and C. Huang. 2002. “Evolution of soil surface roughness and flowpath connectivity in overland flow experiments.” Catena 46 (2): 125–139. https://doi.org/10.1016/S0341-8162(01)00162-X.
Gassman, P. W., M. R. Reyes, C. H. Green, and J. G. Arnold. 2007. “The Soil and Water Assessment Tool: Historical development, applications, and future research directions.” Trans. ASABE 50 (4): 1211–1250. https://doi.org/10.13031/2013.23637.
Hay, L., P. Norton, R. Viger, S. Markstrom, R. S. Regan, and M. Vanderhoof. 2018. “Modelling surface-water depression storage in a prairie pothole region.” Hydrol. Process. 32 (4): 462–479. https://doi.org/10.1002/hyp.11416.
Kreymborg, L. R., and S. M. Forman. 2001. “Modeling the hydrologic functions of wetland prairie potholes.” In Proc., Wetlands Engineering and River Restoration Conf., 1–12. Reston, VA: ASCE.
Markstrom, S. L., R. S. Regan, L. E. Hay, R. J. Viger, R. M. T. Webb, R. A. Payn, and J. H. LaFontaine. 2015. “PRMS-IV, The precipitation-runoff modeling system, version 4.” Chap. B7 in US Geological Survey techniques and methods, Book 6, 158. Reston, VA: US Geological Survey.
Martz, L. W., and J. Garbrecht. 1993. “Automated extraction of drainage network and watershed data from digital elevation models.” J. Am. Water Resour. Assoc. 29 (6): 901–908. https://doi.org/10.1111/j.1752-1688.1993.tb03250.x.
Mekonnen, B. A., K. A. Mazurek, and G. Putz. 2016. “Incorporating landscape depression heterogeneity into the Soil and Water Assessment Tool (SWAT) using a probability distribution.” Hydrol. Process. 30 (13): 2373–2389. https://doi.org/10.1002/hyp.10800.
Nash, J. E., and J. V. Sutcliffe. 1970. “River flow forecasting through conceptual models part I—A discussion of principles.” J. Hydrol. 10 (3): 282–290. https://doi.org/10.1016/0022-1694(70)90255-6.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2011. Soil and water assessment tool theoretical documentation version 2009. College Station, TX: Texas Water Resources Institute.
Shaw, D. A., A. Pietroniro, and L. W. Martz. 2013. “Topographic analysis for the prairie pothole region of western Canada.” Hydrol. Process. 27 (22): 3105–3114. https://doi.org/10.1002/hyp.9409.
Skaggs, R. W., M. A. Youssef, and G. M. Chescheir. 2012. “DRAINMOD: Model use, calibration, and validation.” Trans. ASABE 55 (4): 1509–1522. https://doi.org/10.13031/2013.42259.
Tahmasebi Nasab, M., V. Singh, and X. Chu. 2017a. “SWAT modeling for depression-dominated areas: How do depressions manipulate hydrologic modeling?” Water 9 (1): 58. https://doi.org/10.3390/w9010058.
Tahmasebi Nasab, M., J. Zhang, and X. Chu. 2017b. “A new depression-dominated delineation (D-cubed) method for improved watershed modeling.” Hydrol. Process. 31 (19): 3364–3378. https://doi.org/10.1002/hyp.11261.
USACE, HEC (Hydrologic Engineering Center). 2016. Hydrologic modeling system HEC-HMS, user’s manual, version 4.2. Davis, CA: USACE-HEC.
USDA. 2017. “WSS (Web Soil Survey).” Accessed March 18, 2017. https://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm.
USGS. 2017a. “National water information system: Mapper.” Accessed March 19, 2017. https://maps.waterdata.usgs.gov/mapper/index.html.
USGS. 2017b. “National water information system: Web interface, USGS 05057200 Baldhill Creek NR Dazey, ND.” Accessed August 26, 2018. https://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=05057200.
USGS. 2017c. “The national map, TNM download, V1.0.” Accessed March 23, 2017. https://viewer.nationalmap.gov/basic/.
Yang, J., and X. Chu. 2015. “A new modeling approach for simulating microtopography-dominated, discontinuous overland flow on infiltrating surfaces.” Adv. Water Resour. 78 (4): 80–93. https://doi.org/10.1016/j.advwatres.2015.02.004.
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©2019 American Society of Civil Engineers.
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Received: Mar 12, 2018
Accepted: Nov 13, 2018
Published online: Feb 22, 2019
Published in print: May 1, 2019
Discussion open until: Jul 22, 2019
ASCE Technical Topics:
- Climates
- Engineering fundamentals
- Environmental engineering
- Hydrologic engineering
- Hydrologic models
- Meteorology
- Models (by type)
- Precipitation
- Rainfall
- Rainfall-runoff relationships
- Retention basins
- River engineering
- River systems
- Simulation models
- Stilling basins
- Systems engineering
- Water and water resources
- Water management
- Water storage
- Water supply
- Water supply systems
- Water treatment
- Watersheds
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