Application of L-moments and Bayesian inference for low-flow regionalization in Sefidroud basin, Iran-Reference-Cited by-同舟云学术

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Application of L-moments and Bayesian inference for low-flow regionalization in Sefidroud basin, Iran

Published:2013-02-11 Issue:4 Volume:28 Page:1663-1676
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Dodangeh Esmaeel¹,Soltani Saeed¹,Sarhadi Ali²,Shiau Jenq-Tzong³

Affiliation:

1. Department of Natural Resources; Isfahan University of Technology; Isfahan Iran

2. Department of Civil and Environmental Engineering; University of Waterloo; Waterloo Ontario Canada

3. Department of Hydraulic and Ocean Engineering; National Cheng Kung University; Tainan 701 Taiwan Republic of China

Publisher

Wiley

Subject

Water Science and Technology

Reference63 articles.

1. Assessing the impact of climate change on water resources in Iran;Abbaspour;Water Resources Research,2009

2. Probabilistic analysis of extreme regional meteorological droughts by L-moments in a semi-arid environemnt;Abolverdi;Theoretical and Applied Climatology,2010

3. Approximate confidence intervals for quantiles of gamma and generalized gamma distributions;Ashkar;Journal of Hydrologic Engineering,1998

4. The future of distributed models: Model calibration and uncertainty prediction;Beven;Hydrological Processes,1992

5. Cluster-analysis as applied to regional flood frequency;Burn;Journal of Water Resources Planning and Management,1989

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