Stochastic Generation of Streamflow Time Series-Reference-Cited by-同舟云学术

Stochastic Generation of Streamflow Time Series

Published:2018-10 Issue:10 Volume:23 Page:04018043
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Oliveira Bruno¹^ORCID,Maia Rodrigo²

Affiliation:

1. Researcher, Dept. of Civil Engineering, Faculty of Engineering, Univ. of Porto, SHRHA, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil Engineering, Faculty of Engineering, Univ. of Porto, SHRHA, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001695

Reference34 articles.

1. Beckers F. M. Noack and S. Wieprecht. 2016. “Reliability analysis of a 2D sediment transport model: An example of the lower river Salzach.” In Proc. 13th Int. Symp. on River Sedimentation. London: Taylor & Francis.

2. A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model

3. Full-band Monte Carlo simulation of high-energy carrier transport in single photon avalanche diodes with multiplication layers made of InP, InAlAs, and GaAs

4. Graphical Assessment of Dependence

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