Statistical Flood Forecasting
Statistical Flood Forecasting is a flood forecasting methodology that employs statistical models to predict flood events based on historical data and probabilistic relationships, distinguishing itself from deterministic approaches by relying on empirical data correlations rather than physical hydrological processes.
136
Publications
10.3K
Citations
430
Authors
205
Institutions
Publications per year
2017–2026
69
Parents
136
Mahyat Shafapour Tehrany, Biswajeet Pradhan, Mustafa Neamah Jebur · Journal of Hydrology · 2013 · 840 citations
Computing, Geoinformatics, Hydrology +17
Bahram Choubin, Ehsan Moradi, Mohammad Golshan et al. · The Science of The Total Environment · 2018 · 778 citations
1–5 of 136
430
National Institute of Hydrology and Water Management, Romania
4 publications · 508 citations
4
h-index
3
h-index
3
h-index
Korea Institute of Geoscience and Mineral Resources, South Korea
2 publications · 118 citations
2
h-index
2
h-index
1–5 of 430
205

University of Tehran
Tehran, Iran
5 h-index
11 publications
2.7K citations
Duy Tan University
Da Nang, Vietnam
5 h-index
5 publications
590 citations
Wuhan University
Wuhan, China
5 h-index
14 publications
430 citations
National Institute of Hydrology and Water Management
Bucharest, Romania
4 h-index
6 publications
758 citations

University of Bucharest
Bucharest, Romania
4 h-index
7 publications
883 citations

Tarbiat Modares University
Tehran, Iran
4 h-index
6 publications
637 citations

Hohai University
Nanjing, China
3 h-index
9 publications
201 citations
Dalian University of Technology
Dalian, China
3 h-index
4 publications
153 citations
1–8 of 205
27 publications · 2.6K citations
22
h-index
10 publications · 809 citations
10
h-index
5 publications · 212 citations
5
h-index
5 publications · 585 citations
5
h-index
5 publications · 134 citations
5
h-index
1–5