Probabilistic Structure of Extreme Run Lengths in a Stationary Hydrologic Time Series-Reference-Cited by-同舟云学术

Probabilistic Structure of Extreme Run Lengths in a Stationary Hydrologic Time Series

Published:2020-02 Issue:2 Volume:25 Page:04019062
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Li Yi¹^ORCID,Long Tianwei²,Sun Xueao³

Affiliation:

1. Professor, National Inland Waterway Regulation Engineering Research Center and School of River and Ocean Engineering, Chongqing Jiaotong Univ., 66 Xuefu Rd., Chongqing 400074, China (corresponding author). ORCID: .

2. Water Stewardship Officer, Water Management, Municipality of Guiyang, 18 Shinan Rd., Guiyang, Guizhou 550002, China; formerly, Graduate Student, School of River and Ocean Engineering, Chongqing Jiaotong Univ., 66 Xuefu Rd., Chongqing 400074, China.

3. Graduate Student, School of River and Ocean Engineering, Chongqing Jiaotong Univ., 66 Xuefu Rd., Chongqing 400074, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001869

Reference34 articles.

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4. The limitations of statistical low runs prediction in rough seas: A study based on real wave data

5. Capitão R. P. A. A. Pires-Silva J. R. Medina and M. M. Carvalho. 1998. “Extreme wave group statistics of numerically simulated wave records.” In Proc. 17th Int. Conf. on Offshore Mechanics and Arctic Engineering. New York: ASME.