File(s) not publicly available

Generating and forecasting monthly flows of the Ganges river with PAR model

journal contribution
posted on 06.12.2017, 00:00 by Mohammad MondalMohammad Mondal, Saleh WasimiSaleh Wasimi
Contemporary building techniques and underlying theories of periodic autoregressive (PAR) models are revisited, reviewed, modified and recast. New techniques for generating synthetic data from any PAR model with provision to constrain some parameter values to zero have been proposed. The developed method is applied to the Ganges river for its monthly flow forecasting and generation. The results demonstrate that the PAR model can capture the seasonal variability of the Ganges river flow reasonably well preserving both its short- and the long-term important historical statistics.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

323

Issue

1-4

Start Page

41

End Page

56

Number of Pages

16

ISSN

0022-1694

Location

Amsterdam, Netherlands

Publisher

Elsevier

Language

en-aus

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Journal

Journal of hydrology.