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Storm Event Analysis of Forested Catchments on the Atlantic Coastal Plain Using MSME, a Modified SCS-CN Runoff Model
1 , * 2 , 3 , 3 , 4 , 4 , 5
1  USDA Forest Service, Center for Forest Watershed Science, 3734 Highway 402, Cordesville, SC 29434, USA
2  University of Agriculture in Krakow
3  Department of Geology and Environmental Geosciences, College of Charleston, 66 George Street, Charleston, SC 29424, USA
4  Department of Agricultural Sciences, Baruch Institute of Coastal Ecology and Forest Science, Clemson University, P.O. Box 596, Georgetown, SC USA
5  Craftwater Engineering, Portland, OR USA
Academic Editor: Marcel J.F. Stive

Published: 10 November 2021 by MDPI in 6th International Electronic Conference on Water Sciences session Poster (registering DOI)

In this study, we calibrated and tested the Soil Conservation Service Curve Number (SCS-CN) based Modified Sahu-Mishra-Eldo (MSME) model for predicting storm event total direct runoff (Qtot) The MSME model satisfactorily predicted the estimated Qtot_pred for three watersheds, unsatisfactory for one watershed. These results demonstrate MSME model’s potential to predict direct runoff in poorly drained forested watersheds as reference for urbanizing coastal landscapes. The flooding conditions of the lower coastal plain landscapes can be further exacerbated beyond that shown by storm runoff-based flood discharges potentially due to ground water table rise as sea level rises.

Keywords: direct runoff; coastal watersheds; groundwater table