Hybrid Hydrological Data-Driven Approach for Daily Streamflow Forecasting-Reference-Cited by-同舟云学术

Hybrid Hydrological Data-Driven Approach for Daily Streamflow Forecasting

Author:

Ghaith Maysara¹^ORCID,Siam Ahmad²,Li Zhong³,El-Dakhakhni Wael⁴

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4L7. ORCID: .

2. Postdoctoral Fellow, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4L7.

3. Assistant Professor, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4L7 (corresponding author).

4. Director, INViSiONLab, Dept. of Civil Engineering, McMaster Univ., 1280 Main St. West, Hamilton, ON, Canada L8S 4L7.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

Reference47 articles.

4. Analysis of dynamic wave model for flood routing in natural rivers;Barati R.;Water Sci. Eng.,2012

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