Quality assessment of small urban catchments stormwater models: a new approach using old metrics
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | |
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. |
id |
RCAP_3ca82cd70f9ae81305eaea30a8930e73 |
---|---|
oai_identifier_str |
oai:repositorio.ipl.pt:10400.21/14667 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799133496733597696 |