Приказ основних података о документу

dc.creatorIvković, Marija
dc.creatorTodorović, Andrijana
dc.creatorPlavšić, Jasna
dc.date.accessioned2019-04-19T14:29:32Z
dc.date.available2019-04-19T14:29:32Z
dc.date.issued2018
dc.identifier.issn1464-7141
dc.identifier.urihttps://grafar.grf.bg.ac.rs/handle/123456789/935
dc.description.abstractFlood forecasting relies on good quality of observed and forecasted rainfall. In Serbia, the recording rain gauge network is sparse and rainfall data mainly come from dense non-recording rain gauges. This is not beneficial for flood forecasting in smaller catchments and short-duration events, when hydrologic models operating on subdaily scale are applied. Moreover, differences in rainfall amounts from two types of gauges can be considerable, which is common in operational hydrological practice. This paper examines the possibility of including daily rainfall data from dense observation networks in flood forecasting based on subdaily data, using the extreme flood event in the Kolubara catchment in May 2014 as a case study. Daily rainfall from a dense observation network is disaggregated to hourly scale using the MuDRain multivariate disaggregation software. The disaggregation procedure results in well-reproduced rainfall dynamics and adjusts rainfall volume to the values from the non-recording gauges. The fully distributed wflow_hbv model, which is under development as a forecasting tool for the Kolubara catchment, is used for flood simulations with two alternative hourly rainfall data. The results show an improvement when the disaggregated rainfall from denser network is used, thus indicating the significance of better representation of rainfall temporal and spatial variability for flood forecasting.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37005/RS//
dc.rightsrestrictedAccess
dc.sourceJournal of Hydroinformatics
dc.subjectflood forecastingen
dc.subjectHBV modelen
dc.subjectrainfall-runoff modelen
dc.subjectrainfall spatial distributionen
dc.subjectsparse networken
dc.subjectsubdaily rainfall disaggregationen
dc.titleImproved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregationen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage797
dc.citation.issue4
dc.citation.other20(4): 784-797
dc.citation.rankM22
dc.citation.spage784
dc.citation.volume20
dc.identifier.doi10.2166/hydro.2018.053
dc.identifier.scopus2-s2.0-85051377870
dc.identifier.wos000436621300004
dc.type.versionpublishedVersion


Документи

Thumbnail

Овај документ се појављује у следећим колекцијама

Приказ основних података о документу