New Flood Early Warning and Forecasting Method Based on Similarity Theory-Reference-Cited by-同舟云学术

New Flood Early Warning and Forecasting Method Based on Similarity Theory

Published:2019-08 Issue:8 Volume:24 Page:04019023
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Xiao Zhangling¹,Liang Zhongmin²,Li Binquan³,Hou Bo⁴,Hu Yiming⁵,Wang Jun⁶

Affiliation:

1. Ph.D. Student, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China.

2. Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China.

3. Associate Professor, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ., Nanjing 210098, China (corresponding author).

4. Engineer, Hydrology Bureau, Yellow River Conservancy Commission, East Chengbei Rd., Zhengzhou 450004, China.

5. Associate Professor, College of Hydrology and Water Resources, Hohai Univ., Nanjing 210098, China.

6. Associate Professor, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai Univ., Nanjing 210098, 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.1943-5584.0001811

Reference29 articles.

1. Application of the Kineros2 rainfall–runoff model to an arid catchment in Oman

2. Application of Linearized Calibration Method for Vertically Mixed Runoff Model Parameters

3. The use of scale recursive estimation for short term quantitative precipitation forecast

4. Forecasting of short-term rainfall using ARMA models

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