Uncertainty assessment of sewer sediment erosion modelling

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13 Citazioni (Scopus)

Abstract

Urban stormwater quality modelling has become a fundamental issue in the evaluation of the receiving water bodies' quality state. Laboratory study as well as field campaigns have widely demonstrated that combined sewer sediments present cohesive-like properties which increase their resistance to erosion. However, only few models take sewer sediments into account considering their rheological properties. In the present paper different sewer sediment erosion models have been tested and their uncertainties have been assessed. The main goal was to discriminate the algorithms with respect to their robustness and the reduction of uncertainty. In order to accomplish such objective the GLUE methodology has been used. The model has been tested using the quantity-quality data gathered for the Fossolo catchment (Bologna, Italy). Results show a general tendency of sewer sediment erosion models to become overparameterised when trying to fit the complexity of the physical processes thus increasing modelling uncertainty.
Lingua originaleEnglish
pagine (da-a)21-31
Numero di pagine11
RivistaUrban Water Journal
Volume5
Stato di pubblicazionePublished - 2008

All Science Journal Classification (ASJC) codes

  • Water Science and Technology
  • Geography, Planning and Development

Cita questo

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title = "Uncertainty assessment of sewer sediment erosion modelling",
abstract = "Urban stormwater quality modelling has become a fundamental issue in the evaluation of the receiving water bodies' quality state. Laboratory study as well as field campaigns have widely demonstrated that combined sewer sediments present cohesive-like properties which increase their resistance to erosion. However, only few models take sewer sediments into account considering their rheological properties. In the present paper different sewer sediment erosion models have been tested and their uncertainties have been assessed. The main goal was to discriminate the algorithms with respect to their robustness and the reduction of uncertainty. In order to accomplish such objective the GLUE methodology has been used. The model has been tested using the quantity-quality data gathered for the Fossolo catchment (Bologna, Italy). Results show a general tendency of sewer sediment erosion models to become overparameterised when trying to fit the complexity of the physical processes thus increasing modelling uncertainty.",
author = "Gaspare Viviani and Gabriele Freni and Giorgio Mannina",
year = "2008",
language = "English",
volume = "5",
pages = "21--31",
journal = "Urban Water Journal",
issn = "1573-062X",
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T1 - Uncertainty assessment of sewer sediment erosion modelling

AU - Viviani, Gaspare

AU - Freni, Gabriele

AU - Mannina, Giorgio

PY - 2008

Y1 - 2008

N2 - Urban stormwater quality modelling has become a fundamental issue in the evaluation of the receiving water bodies' quality state. Laboratory study as well as field campaigns have widely demonstrated that combined sewer sediments present cohesive-like properties which increase their resistance to erosion. However, only few models take sewer sediments into account considering their rheological properties. In the present paper different sewer sediment erosion models have been tested and their uncertainties have been assessed. The main goal was to discriminate the algorithms with respect to their robustness and the reduction of uncertainty. In order to accomplish such objective the GLUE methodology has been used. The model has been tested using the quantity-quality data gathered for the Fossolo catchment (Bologna, Italy). Results show a general tendency of sewer sediment erosion models to become overparameterised when trying to fit the complexity of the physical processes thus increasing modelling uncertainty.

AB - Urban stormwater quality modelling has become a fundamental issue in the evaluation of the receiving water bodies' quality state. Laboratory study as well as field campaigns have widely demonstrated that combined sewer sediments present cohesive-like properties which increase their resistance to erosion. However, only few models take sewer sediments into account considering their rheological properties. In the present paper different sewer sediment erosion models have been tested and their uncertainties have been assessed. The main goal was to discriminate the algorithms with respect to their robustness and the reduction of uncertainty. In order to accomplish such objective the GLUE methodology has been used. The model has been tested using the quantity-quality data gathered for the Fossolo catchment (Bologna, Italy). Results show a general tendency of sewer sediment erosion models to become overparameterised when trying to fit the complexity of the physical processes thus increasing modelling uncertainty.

UR - http://hdl.handle.net/10447/34259

M3 - Article

VL - 5

SP - 21

EP - 31

JO - Urban Water Journal

JF - Urban Water Journal

SN - 1573-062X

ER -