An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume
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Published:2023-09-20
Issue:18
Volume:27
Page:3329-3349
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ISSN:1607-7938
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Container-title:Hydrology and Earth System Sciences
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language:en
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Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Fatone Francesco, Szeląg Bartosz, Kowal PrzemysławORCID, McGarity Arthur, Kiczko Adam, Wałek Grzegorz, Wojciechowska Ewa, Stachura Michał, Caradot Nicolas
Abstract
Abstract. An innovative tool for modeling the specific flood volume was
presented that can be applied to assess the need for stormwater network
modernization as well as for advanced flood risk assessment. Field
measurements for a catchment area in Kielce, Poland, were used to apply the
model and demonstrate its usefulness. This model extends the capability of
recently developed statistical and machine learning hydrodynamic models
developed from multiple runs of the US Environmental Protection Agency (EPA) Storm Water Management Model
(SWMM). The extensions enable the inclusion of (1) the characteristics of the
catchment and its stormwater network, calibrated model parameters
expressing catchment retention, and the capacity of the sewer system; (2) extended sensitivity analysis; and (3) risk analysis. Sensitivity
coefficients of calibrated model parameters include correction coefficients
for percentage area, flow path, depth of storage, and impervious area; Manning
roughness coefficients for impervious areas; and Manning roughness
coefficients for sewer channels. Sensitivity coefficients were determined
with respect to rainfall intensity and characteristics of the catchment and
stormwater network. Extended sensitivity analysis enabled an evaluation of
the variability in the specific flood volume and sensitivity coefficients
within a catchment, in order to identify the most vulnerable areas
threatened by flooding. Thus, the model can be used to identify areas
particularly susceptible to stormwater network failure and the sections of
the network where corrective action should be taken to reduce the
probability of system failure. The simulator developed to determine the
specific flood volume represents an alternative approach to the SWMM
that, unlike current approaches, can be calibrated with limited topological
data availability; therefore, the aforementioned simulator incurs a lower cost due to the lower number
and lower specificity of data required.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
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