Nahad Rezazadeh Helmi

Mr. Nahad Rezazadeh Helmi

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 November 2019 in Water
Verified
Journal Article
Open access
PDF file
NHNahad Rezazadeh Helmi
Nahad Rezazadeh Helmi
BVBoud Verbeiren
Boud Verbeiren
CWCharlotte Wirion
Charlotte Wirion
AGAnn van Griensven
Ann van Griensven
IWImeshi Weerasinghe
Imeshi Weerasinghe
WBWilly Bauwens
Willy Bauwens
A tool called WetSpa-Urban was developed to respond to the need for precise runoff estimations in an increasingly urbanized world. WetSpa-Urban links the catchment model WetSpa-Python to the urban drainage model Storm Water Management Model (SWMM). WetSpa-Python is an open-source, fully distributed, process-based model that accurately represents surface hydrological processes but does not simulate hydraulic structures. SWMM is a well-known open-source hydrodynamic tool that calculates pipe flow processes in an accurate manner while runoff is calculated conceptually. Merging these tools along with certain modifications, such as improving the efficiency of surface runoff calculation and simulating flow at the sub-catchment level, makes WetSpa-Urban suitable for event-based and continuous rainfall–runoff modeling for urban areas. WetSpa-Urban was applied to the Watermaelbeek catchment in Brussels, Belgium, which recently experienced rapid urbanization. The model efficiency was evaluated using different statistical methods, such as Nash–Sutcliffe efficiency and model bias. In addition, a statistical investigation, independent of time, was performed by applying the box-cox transformation to the observed and simulated values of the flow peaks. By speeding up the simulation of the hydrological processes, the performance of the surface runoff calculation increased by almost 130%. The evaluation of the simulated 10 minute flow versus the observed flow at the outlet of the catchment for 2015 reached a Nash–Sutcliffe efficiency of 0.86 and a bias equal to 0.06.

1 September 2018
Verified
Book Chapter
Closed access
PDF file
NHNahad Rezazadeh Helmi
Nahad Rezazadeh Helmi
BVBoud Verbeiren
Boud Verbeiren
MHMohamad El Hattab
Mohamad El Hattab
AMAna Mijic
Ana Mijic
WBWilly Bauwens
Willy Bauwens