A case study: bivariate drought identification on the Andong dam, South Korea-Reference-Cited by-同舟云学术

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A case study: bivariate drought identification on the Andong dam, South Korea

Published:2020-11-06 Issue:3 Volume:35 Page:549-560
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Kwak Jaewon,Joo Hongjun,Jung Jaewon,Lee Jongso,Kim Soojun,Kim Hung Soo

Funder

the National Research Foundation of Korea (NRF) grant funded by the Korea government

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-020-01917-7.pdf

Reference72 articles.

1. Alley WM (1984) The Palmer drought severity index: limitations and assumptions. J Clim Appl Meteorol 23(7):1100–1109

2. Beguería S, Vicente-Serrano SM, Reig F, Latorre B (2013) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34(10):3001–3023

3. Chang FJ, Chen L, Chang LC (2005) Optimizing the reservoir operating rule curves by genetic algorithms. Hydrol Process 19(11):2277–2289

4. Chen L, Singh VP, Guo S, Mishra AK, Guo J (2012) Drought analysis using copulas. J Hydrol Eng 18(7):797–808

5. Cho J, Jung IW, Kim CG, Kim TG (2016) One-month lead dam inflow forecast using climate indices based on tele-connection. J Korea Water Resour Assoc. https://doi.org/10.3741/JKWRA.2016.49.5.361

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