Application of modified SME-CN method for predicting event runoff and peak discharge from a drained forest watershed on the North Carolina Atlantic Coastal Plain

Andrzej Wałęga , Devendra M. Amatya


The NRCS curve number (CN) method is a widely used event-based model for estimating runoff using readily available watershed parameters and rainfall data from upland agricultural catchments. However, there is limited literature on application of the CN method in drained forest systems. This study proposes an application of the modified Sahu-MishraEldho (SME) CN method developed and tested in earlier studies. In this study, the SME method was further modified by redefining the maximum potential retention to assess subsurface drainage and surface runoff, which are parts of total outflow, separately for a pine forest watershed with a high water table soil drained by ditches spaced 100 m apart in coastal North Carolina. Assuming that the measured outflow from the drained watershed was dominated by subsurface drainage, computed event outflow using the modified SME-CN (MSME-CN) model showed good agreement with the observed outflow data (without extreme rainfall events) for the study watershed, yielding a Nash-Sutcliffe coefficient of 0.97, R2 = 0.97, and RMSE = 3.46 mm. Linking the direct runoff from the MSME model into the SCS graphical peak discharge method (GPDM) also improved event peak flow estimates compared to those from the GPDM using SCS-CN based outflow, with calculated RMSE of 11.93 and 31.35 L s-1 and modeling efficiency (EF) of 0.79 and -0.45, respectively. In addition, based on analysis, the wetland factor (Fp) of 0.72 recommended in the GPDM was found to be very large and unsuitable for the study watershed with its high retention capacity. The authors suggest multi-site-year validation of the MSME-CN model, which is sensitive to input parameters such as PET5, P, CN, and a, to gain more confidence in it and the associated GPDM.
Author Andrzej Wałęga (FoEEaLS / DoSEaWM)
Andrzej Wałęga,,
- Department of Sanitary Engineering and Water Management
, Devendra M. Amatya - [USDA Forest Service Southern Research Station]
Devendra M. Amatya,,
- USDA Forest Service Southern Research Station
Journal seriesTransactions of the ASABE, ISSN 2151-0032, e-ISSN 2151-0040, [0001-2351], (N/A 70 pkt)
Issue year2020
Publication size in sheets0.65
Keywords in EnglishPeak discharge, Pine forest, Poorly drained soil, Potential retention, Subsurface runoff, Surface runoff
ASJC Classification1101 Agricultural and Biological Sciences (miscellaneous); 1102 Agronomy and Crop Science; 1106 Food Science; 1107 Forestry; 1111 Soil Science; 2204 Biomedical Engineering
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
walega-and-amatya.pdf of 14-05-2020
1,9 MB
Score (nominal)70
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.824; WoS Impact Factor: 2018 = 1.153 (2) - 2018=1.349 (5)
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FinansowanieThis article is an extended version, with additional results and analyses, of a short preliminary paper (ASABE Paper No. 1900080) presented at the 2019 ASABE Annual International Meeting. The authors would like to acknowledge the Center for Forest Watershed Research at the USDA Forest Service Southern Research Station for supporting this study, and Weyerhaeuser Company for use of the research site where the data for this study were collected. The research was also supported by the Ministry of Science and Higher Education of the Republic of Poland for the University of Agriculture in 2020.
UwagiLicencja zgłoszona przez autora.
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