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A synthetic model for daily streamflow

✍ Scribed by N.M.D. Green

Book ID
115969546
Publisher
Elsevier Science
Year
1973
Tongue
English
Weight
791 KB
Volume
20
Category
Article
ISSN
0022-1694

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πŸ“œ SIMILAR VOLUMES

A multivariate non-parametric model for
A multivariate non-parametric model for synthetic generation of daily streamflow
✍ Wensheng Wang; Jing Ding πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 208 KB

## Abstract A __p__‐order multivariate kernel density model based on kernel density theory has been developed for synthetic generation of multivariate variables. It belongs to a kind of data‐driven approach and is able to avoid prior assumptions as to the form of probability distribution (normal or

Comment on β€˜Wang W, Ding J. 2007. A mult
Comment on β€˜Wang W, Ding J. 2007. A multivariate non-parametric model for synthetic generation of daily streamflow. Hydrological Processes 21: 1764–1771’
✍ Hafzullah Aksoy πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 39 KB

## Wang and Ding (2007) present a daily streamflow simulation model based on the Gaussian kernel function. The model is found powerful in preserving statistical characteristics of the daily streamflow sequences. The purpose of this comment is to improve the presentation of the proposed model. To m

Reply to comment on β€˜Wang W, Ding J. 200
Reply to comment on β€˜Wang W, Ding J. 2007. A multivariate non-parametric model for synthetic generation of daily streamflow. Hydrological Processes 21: 1764–1771’
✍ Wensheng Wang; Jing Ding πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 34 KB

His third suggestion is that a sequence of generated daily streamflow to show the time-irreversible structure of the daily streamflow hydrograph should be listed. This is a good suggestion. Owing to a constraint on the number of pages, generated daily streamflow hydrographs were not sketched. Howeve