An Approach for Urban Catchment Model Updating

6 pages•Published: September 20, 2018

Maria Clara Fava, Maurizio Mazzoleni, Narumi Abe, Eduardo Mario Mendiono and Dimitri Solomatine

Abstract

Places with limited coverage of rainfall gauges could present the challenge of providing accurate predictions, especially in cases of urbanised areas with rapid responses to heavy rainfall events. Physically-based models can represent the physics and spatial distribution of rainfall events in urban watersheds. Data assimilation techniques have been widely used in hydraulic and hydrological models to update model states and provide a more reliable prediction. However, model updating in case of non-linear systems is considerably complex. In this study, we present an approach to update an urban model assimilating water level values. The preliminary results of this study show a significant improvement in the results of simulations when assimilating water level observation. The methodology is applied in the city of São Carlos, in Brazil, where the urban system is modelled using SWMM.

Keyphrases: data assimilation, distributed model, flood modelling, physically based model, swmm

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 692-697.

Links:	https://easychair.org/publications/paper/6ndQ
	https://doi.org/10.29007/nqzt

BibTeX entry

@inproceedings{HIC2018:Approach_Urban_Catchment_Model,
  author    = {Maria Clara Fava and Maurizio Mazzoleni and Narumi Abe and Eduardo Mario Mendiono and Dimitri Solomatine},
  title     = {An Approach for Urban Catchment Model Updating},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/6ndQ},
  doi       = {10.29007/nqzt},
  pages     = {692-697},
  year      = {2018}}

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