Synthetic Generation of Hydrologic Time Series Based on Nonparametric Random Generation-Reference-Cited by-同舟云学术

Synthetic Generation of Hydrologic Time Series Based on Nonparametric Random Generation

Published:2005-09 Issue:5 Volume:10 Page:395-404
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kim Tae-Woong¹²,Valdés Juan B.¹²

Affiliation:

1. Assistant Professor, Civil and Environmental System Engineering, Hanyang Univ., 1271 Sa-1 dong, Sangnok-gu, Ansan, Kyeonggi-do 425-791, Korea.

2. Professor and Head, Dept. of Civil Engineering and Engineering Mechanics, and Center for Sustainability of Semi-Arid Hydrology and Riparian Areas (SAHRA), Univ. of Arizona, Tucson, AZ 85721-0072.

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%291084-0699%282005%2910%3A5%28395%29

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1. Nonparametric Estimation of Low-Flow Frequencies

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