Quality assessment of small urban catchments stormwater models: a new approach using old metrics

Detalhes bibliográficos
Autor(a) principal: David, Luís Mesquita
Data de Publicação: 2022
Outros Autores: Mota, Tiago Martins
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.21/14667
Resumo: Small urban catchments pose challenges in applying performance metrics when comparing measured and simulated hydrographs. Indeed, results are hampered by the short peak flows, due to rainfall variability and measurement synchronization errors, and it can be both difficult and inconvenient to remove base flows from the analysis, given their influence on combined sewer overflow (CSO) performance. A new approach, based on the application of metrics to peak flows for a selected set of different durations, is proposed and tested to support model quality assessment and calibration. Its advantages are: avoiding inconveniences arising from lags in peak flows and subjectivity of possible adjustments; favouring the assessment of the influence of base flow variability and flow lamination by CSOs; promoting integrated analysis for a wide range of rainfall events; facilitating bias identification and also guiding calibration. However, this new approach tends to provide results (e.g., for NSE, r2 and PBIAS) closer to optimal values than when applying metrics to compare the measured and simulated values of hydrographs, so the comparison of results with thresholds widely used in the literature should be done with caution. The various case study examples highlight the importance of using a judicious set of different metrics and graphical analyses.
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spelling Quality assessment of small urban catchments stormwater models: a new approach using old metricsUrban drainageStormwaterCombined sewer overflows (CSO)UncertaintyModel calibration and verificationPerformance ratingsNash–Sutcliffe Efficiency (NSE)Kling-Gupta Efficiency (KGE)Small urban catchments pose challenges in applying performance metrics when comparing measured and simulated hydrographs. Indeed, results are hampered by the short peak flows, due to rainfall variability and measurement synchronization errors, and it can be both difficult and inconvenient to remove base flows from the analysis, given their influence on combined sewer overflow (CSO) performance. A new approach, based on the application of metrics to peak flows for a selected set of different durations, is proposed and tested to support model quality assessment and calibration. Its advantages are: avoiding inconveniences arising from lags in peak flows and subjectivity of possible adjustments; favouring the assessment of the influence of base flow variability and flow lamination by CSOs; promoting integrated analysis for a wide range of rainfall events; facilitating bias identification and also guiding calibration. However, this new approach tends to provide results (e.g., for NSE, r2 and PBIAS) closer to optimal values than when applying metrics to compare the measured and simulated values of hydrographs, so the comparison of results with thresholds widely used in the literature should be done with caution. The various case study examples highlight the importance of using a judicious set of different metrics and graphical analyses.MDPIRCIPLDavid, Luís MesquitaMota, Tiago Martins2022-05-25T10:51:31Z2022-05-122022-05-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/14667engDAVID, Luís Mesquita; MOTA, Tiago Martins – Quality assessment of small urban catchments stormwater models: a new approach using old metrics. Hydrology. eISSN 2306-5338. Vol. 9, N.º 5 (2022), pp. 1-28.10.3390/hydrology90500872306-5338info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:11:10Zoai:repositorio.ipl.pt:10400.21/14667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:22:26.197928Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Quality assessment of small urban catchments stormwater models: a new approach using old metrics
title Quality assessment of small urban catchments stormwater models: a new approach using old metrics
spellingShingle Quality assessment of small urban catchments stormwater models: a new approach using old metrics
David, Luís Mesquita
Urban drainage
Stormwater
Combined sewer overflows (CSO)
Uncertainty
Model calibration and verification
Performance ratings
Nash–Sutcliffe Efficiency (NSE)
Kling-Gupta Efficiency (KGE)
title_short Quality assessment of small urban catchments stormwater models: a new approach using old metrics
title_full Quality assessment of small urban catchments stormwater models: a new approach using old metrics
title_fullStr Quality assessment of small urban catchments stormwater models: a new approach using old metrics
title_full_unstemmed Quality assessment of small urban catchments stormwater models: a new approach using old metrics
title_sort Quality assessment of small urban catchments stormwater models: a new approach using old metrics
author David, Luís Mesquita
author_facet David, Luís Mesquita
Mota, Tiago Martins
author_role author
author2 Mota, Tiago Martins
author2_role author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv David, Luís Mesquita
Mota, Tiago Martins
dc.subject.por.fl_str_mv Urban drainage
Stormwater
Combined sewer overflows (CSO)
Uncertainty
Model calibration and verification
Performance ratings
Nash–Sutcliffe Efficiency (NSE)
Kling-Gupta Efficiency (KGE)
topic Urban drainage
Stormwater
Combined sewer overflows (CSO)
Uncertainty
Model calibration and verification
Performance ratings
Nash–Sutcliffe Efficiency (NSE)
Kling-Gupta Efficiency (KGE)
description Small urban catchments pose challenges in applying performance metrics when comparing measured and simulated hydrographs. Indeed, results are hampered by the short peak flows, due to rainfall variability and measurement synchronization errors, and it can be both difficult and inconvenient to remove base flows from the analysis, given their influence on combined sewer overflow (CSO) performance. A new approach, based on the application of metrics to peak flows for a selected set of different durations, is proposed and tested to support model quality assessment and calibration. Its advantages are: avoiding inconveniences arising from lags in peak flows and subjectivity of possible adjustments; favouring the assessment of the influence of base flow variability and flow lamination by CSOs; promoting integrated analysis for a wide range of rainfall events; facilitating bias identification and also guiding calibration. However, this new approach tends to provide results (e.g., for NSE, r2 and PBIAS) closer to optimal values than when applying metrics to compare the measured and simulated values of hydrographs, so the comparison of results with thresholds widely used in the literature should be done with caution. The various case study examples highlight the importance of using a judicious set of different metrics and graphical analyses.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-25T10:51:31Z
2022-05-12
2022-05-12T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/14667
url http://hdl.handle.net/10400.21/14667
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv DAVID, Luís Mesquita; MOTA, Tiago Martins – Quality assessment of small urban catchments stormwater models: a new approach using old metrics. Hydrology. eISSN 2306-5338. Vol. 9, N.º 5 (2022), pp. 1-28.
10.3390/hydrology9050087
2306-5338
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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