Maximum entropy-Gumbel-Hougaard copula method for simulation of monthly streamflow in Xiangxi river, China

By Xiang-Ming Kong, G. H. Huang, Y. Fan, Y. P. Li. Stochastic environmental research and risk assessment (Print), 2015

73 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/0655903b594322dc05e160d07a7141c409b0fdb4

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. Y. P. Li
2. Guohe Huang

In Water Science and Technology

1. Guohe Huang
2. Y. P. Li
3. Yurui Fan
4. Lei Jin
5. Zhong Li
6. Xiuquan Wang
7. Guanhui Cheng
8. Wendy Huang

Citations in the corpus

• A stepwise-cluster forecasting approach for monthly streamflows based on climate teleconnections (2015, background): “…such as environment protection, drought management, water supply utilities and reservoir operations, and sustainable water resources management (Li et al. 2008; Jin et al. 2012; Kisi et al. 2013; Chen et al. 2013; Xu and Qin 2013; Zhang and Yang 2013; Fan et al. 2014; Kong et al. 2014).”
• Monthly runoff forecasting based on LSTM–ALO model (2018, methodology): “…runoff forecasting, such as difficulty of identification model’s parameters and not easily capturing nonlinear characteristics of runoff time series (Kong et al. 2015; Yaseen et al. 2015), artificial neural network (ANN), adaptive network-based fuzzy inference system (ANFIS) and support vector…”