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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 3
Hydrol. Earth Syst. Sci., 18, 1151–1164, 2014
https://doi.org/10.5194/hess-18-1151-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 18, 1151–1164, 2014
https://doi.org/10.5194/hess-18-1151-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 26 Mar 2014

Research article | 26 Mar 2014

Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics

A. D. Jayakaran et al.

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Cited articles

Adamowski, J., Fung Chan, H., Prasher, S. O., Ozga-Zielinski, B., and Sliusarieva, A.: Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada, Water Resour. Res., 48, W01528, https://doi.org/10.1029/2010WR009945, 2012.
Aikaike, H.: Information theory and an extension of the maximum likelihood principle, in: Proceedings of the Second International Symposium on Information Theory, edited by: Petrov, B. N. and Caski, F., 267–281, Budapest: Akademiai Kiado, 1973.
Amatya, D. M. and Radecki-Pawlik, A.: Flow dynamics of three forested watersheds in coastal South Carolina, USA, ACTA Scientarium Polonorum Formatio Circumiectus, 6, 3–17, 2007.
Amatya, D. M. and Skaggs, R. W.: Long-term hydrology and water quality of a drained pine plantation in North Carolina, Trans. ASABE, 54, 2087–2098, 2011.
Amatya, D. M. and Trettin, C. C.: Development of watershed hydrologic studies at Santee Experimental Forest, South Carolina, in: Proceedings of the Forest Service National Earth Sciences Conference, edited by: Furniss, M., C. Clifton, C., and Ronnenberg, K., PNW-GTR-689, 180–190, Portland, OR, 2007.
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