Single‐site monthly streamflow simulation using entropy theory

By Zhen Hao, V. P. Singh. 2011

49 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/1efb2947ded3c09a5a686ab7e98e9e9629311d7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Amir Aghakouchak
2. Y. P. Li
3. Y. Fan
4. Zengchao Hao
5. Vijay P. Singh
6. G. H. Huang
7. Xiang-Ming Kong
8. Gabriele Villarini

In Ocean Engineering

1. Amir Aghakouchak
2. Y. P. Li
3. Zengchao Hao
4. Vijay P. Singh

Citations in the corpus

• Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China (2015, background): “For streamflow simulation, mean, standard deviation, skewness and kurtosis can be regarded as constraints for deriving the distribution of streamflow (Hao and Singh 2011), which can be stated as:”
• Entropy‐copula method for single‐site monthly streamflow simulation (2012, methodology): “The Lagrange multipliers in equation (3) can be determined in terms of the specified constraints using the NewtonRaphson method [Hao and Singh, 2011].”
• Entropy–Copula in Hydrology and Climatology (2014, background): “Similar concepts have been applied to derive a multivariate distribution from the entropy theory based on moments of the data (Zhu et al. 1997; Phillips et al. 2006; Hao and Singh 2011).”