Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels

Tunnels are increasingly used worldwide to expand the capacity of urban drainage systems, but they are difficult to monitor with sensors alone. This study enables soft sensing of urban drainage tunnels by assimilating water level observations into an ensemble of hydrodynamic models. Ensemble-based d...

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Autores principales:	Rocco Palmitessa, Peter Steen Mikkelsen, Adrian W. K. Law, Morten Borup
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	combined overflow tunnel data assimilation distributed urban drainage models model-based sensor validation soft sensing urban drainage tunnel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/cc5da7ebce8148c696ccca6be213d5a8
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id	oai:doaj.org-article:cc5da7ebce8148c696ccca6be213d5a8
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spelling	oai:doaj.org-article:cc5da7ebce8148c696ccca6be213d5a82021-11-05T17:46:32ZData assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels1464-71411465-173410.2166/hydro.2020.074https://doaj.org/article/cc5da7ebce8148c696ccca6be213d5a82021-05-01T00:00:00Zhttp://jh.iwaponline.com/content/23/3/438https://doaj.org/toc/1464-7141https://doaj.org/toc/1465-1734Tunnels are increasingly used worldwide to expand the capacity of urban drainage systems, but they are difficult to monitor with sensors alone. This study enables soft sensing of urban drainage tunnels by assimilating water level observations into an ensemble of hydrodynamic models. Ensemble-based data assimilation is suitable for non-linear models and provides useful uncertainty estimates. To limit the computational cost, our proposed scheme restricts the assimilation and ensemble implementation to the tunnel and represents the surrounding drainage system deterministically. We applied the scheme to a combined sewer overflow tunnel in Copenhagen, Denmark, with two sensors 3.4 km apart. The downstream observations were assimilated, while those upstream were used for validation. The scheme was tuned using a high-intensity event and validated with a low-intensity one. In a third event, the scheme was able to provide soft sensing as well as identify errors in the upstream sensor with high confidence. HIGHLIGHTS We propose a data assimilation scheme tailor-made for urban drainage tunnels that can efficiently assimilate observations into an ensemble of 1D hydrodynamic models.; We tested and validated our methodology with a real case study.; The results support our hypothesis that the scheme is capable of promoting the hydrodynamic model to a soft sensing tool, which can be further used for validating physical sensors.;Rocco PalmitessaPeter Steen MikkelsenAdrian W. K. LawMorten BorupIWA Publishingarticlecombined overflow tunneldata assimilationdistributed urban drainage modelsmodel-based sensor validationsoft sensingurban drainage tunnelInformation technologyT58.5-58.64Environmental technology. Sanitary engineeringTD1-1066ENJournal of Hydroinformatics, Vol 23, Iss 3, Pp 438-452 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	combined overflow tunnel data assimilation distributed urban drainage models model-based sensor validation soft sensing urban drainage tunnel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
spellingShingle	combined overflow tunnel data assimilation distributed urban drainage models model-based sensor validation soft sensing urban drainage tunnel Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066 Rocco Palmitessa Peter Steen Mikkelsen Adrian W. K. Law Morten Borup Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
description	Tunnels are increasingly used worldwide to expand the capacity of urban drainage systems, but they are difficult to monitor with sensors alone. This study enables soft sensing of urban drainage tunnels by assimilating water level observations into an ensemble of hydrodynamic models. Ensemble-based data assimilation is suitable for non-linear models and provides useful uncertainty estimates. To limit the computational cost, our proposed scheme restricts the assimilation and ensemble implementation to the tunnel and represents the surrounding drainage system deterministically. We applied the scheme to a combined sewer overflow tunnel in Copenhagen, Denmark, with two sensors 3.4 km apart. The downstream observations were assimilated, while those upstream were used for validation. The scheme was tuned using a high-intensity event and validated with a low-intensity one. In a third event, the scheme was able to provide soft sensing as well as identify errors in the upstream sensor with high confidence. HIGHLIGHTS We propose a data assimilation scheme tailor-made for urban drainage tunnels that can efficiently assimilate observations into an ensemble of 1D hydrodynamic models.; We tested and validated our methodology with a real case study.; The results support our hypothesis that the scheme is capable of promoting the hydrodynamic model to a soft sensing tool, which can be further used for validating physical sensors.;
format	article
author	Rocco Palmitessa Peter Steen Mikkelsen Adrian W. K. Law Morten Borup
author_facet	Rocco Palmitessa Peter Steen Mikkelsen Adrian W. K. Law Morten Borup
author_sort	Rocco Palmitessa
title	Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
title_short	Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
title_full	Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
title_fullStr	Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
title_full_unstemmed	Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
title_sort	data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/cc5da7ebce8148c696ccca6be213d5a8
work_keys_str_mv	AT roccopalmitessa dataassimilationinhydrodynamicmodelsforsystemwidesoftsensingandsensorvalidationforurbandrainagetunnels AT petersteenmikkelsen dataassimilationinhydrodynamicmodelsforsystemwidesoftsensingandsensorvalidationforurbandrainagetunnels AT adrianwklaw dataassimilationinhydrodynamicmodelsforsystemwidesoftsensingandsensorvalidationforurbandrainagetunnels AT mortenborup dataassimilationinhydrodynamicmodelsforsystemwidesoftsensingandsensorvalidationforurbandrainagetunnels
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Data assimilation in hydrodynamic models for system-wide soft sensing and sensor validation for urban drainage tunnels

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