Improving flood forecasting using an input correction method in urban models in poorly gauged areas-Reference-Cited by-同舟云学术

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Improving flood forecasting using an input correction method in urban models in poorly gauged areas

Published:2020-03-03 Issue:7 Volume:65 Page:1096-1111
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Fava Maria Clara¹^ORCID,Mazzoleni Maurizio²³^ORCID,Abe Narumi¹^ORCID,Mendiondo Eduardo Mario¹^ORCID,Solomatine Dimitri P.⁴⁵^ORCID

Affiliation:

1. Department of Hydraulic Engineering and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, São Paulo, Brazil

2. Department of Earth Sciences, Program for Air, Water and Landscape Sciences, Uppsala University, Uppsala, Sweden

3. Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, Sweden

4. Chair Group of Hydroinformatics, IHE Delft Institute for Water Education, Delft, The Netherlands

5. Water Resources Section, Delft University of Technology, Delft, The Netherlands

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1729984

Reference52 articles.

1. Particle Markov chain Monte Carlo methods

2. Flooding in the future – predicting climate change, risks and responses in urban areas

3. The Hydrologic Role of Urban Green Space in Mitigating Flooding (Luohe, China)

4. Cálculo de Áreas Inundáveis Devido a Enchentes para o Plano Diretor de Drenagem Urbana de São Carlos (PDDUSC) na Bacia Escola do Córrego do Gregório

5. Technical Note on the Dynamic Changes in Kalman Gain when Updating Hydrodynamic Urban Drainage Models

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