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Lian, H., Yen, H., Huang, J.C., Feng, Q., Qin, L., Bashir, M.A., Wu, S., Zhu, A.X., Luo, J., Di, H., Lei, Q. and Liu, H. (2020) CN-China: Revised Runoff Curve Number by Using Rainfall-Runoff Events Data in China. Water Research, 177, Article ID: 115767.
https://doi.org/10.1016/j.watres.2020.115767

has been cited by the following article:

• TITLE: Evaluating the Effect of Land Cover, Seasonality and Delineation Method on Runoff at the Watershed Scale

  AUTHORS: Katherine Clancy

  KEYWORDS: Runoff, Curve Number, Vegetation, Seasonal

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.13 No.9, September 28, 2021

  ABSTRACT: The aim of this study was to determine if runoff estimates from the curve number model were affected by seasons for different land covers. Eighteen watersheds with varying land covers were delineated using three methods. The delineation methods differ in how internal drainage is evaluated. Runoff estimates from storms for spring, summer, and fall were compared to observed runoff from USGS gaging station data. Errors (difference between estimate runoff and observed runoff) were found to be highest for fall by 3% for all the two delineation methods which do not consider internal drainage. Watersheds were categorized by their dominant land cover (agriculture, forest, or urban). Seasonal differences were found to be significant for certain land covers. The greatest differences between observed and estimated data were found in agriculture and urban especially spring versus fall for all delineations. Forest land cover was found to have no seasonal difference for all three delineation methods. The research suggests that this work contributes to the growing body of research suggesting that vegetative seasonal differences have a greater impact on runoff than is accounted for in the runoff model.