SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:su-145337"
 

Search: onr:"swepub:oai:DiVA.org:su-145337" > Sub-daily runoff pr...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004908naa a2200493 4500
001oai:DiVA.org:su-145337
003SwePub
008170727s2017 | |||||||||||000 ||eng|
009oai:DiVA.org:uu-330029
024a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1453372 URI
024a https://doi.org/10.1016/j.jhydrol.2017.05.0122 DOI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3300292 URI
040 a (SwePub)sud (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Reynolds, Eduardou Uppsala universitet,Luft-, vatten- och landskapslära,CNDS, Uppsala, Sweden.;Univ Panama, Inst Geociencias, Panama City, Panama.4 aut0 (Swepub:uu)estre359
2451 0a Sub-daily runoff predictions using parameters calibrated on the basis of data with a daily temporal resolution
264 1b Elsevier BV,c 2017
338 a print2 rdacarrier
520 a Concentration times in small and medium-sized basins (similar to 10-1000 km(2)) are commonly less than 24 h. Flood-forecasting models are thus required to provide simulations at high temporal resolutions (1 h-6 h), although time-series of input and runoff data with sufficient lengths are often only available at the daily temporal resolution, especially in developing countries. This has led to study the relationships of estimated parameter values at the temporal resolutions where they are needed from the temporal resolutions where they are available. This study presents a methodology to treat empirically model parameter dependencies on the temporal resolution of data in two small basins using a bucket-type hydrological model, HBV-light, and the generalised likelihood uncertainty estimation approach for selecting its parameters. To avoid artefacts due to the numerical resolution or numerical method of the differential equations within the model, the model was consistently run using modelling time steps of one-hour regardless of the temporal resolution of the rainfall-runoff data. The distribution of the parameters calibrated at several temporal resolutions in the two basins did not show model parameter dependencies on the temporal resolution of data and the direct transferability of calibrated parameter sets (e.g., daily) for runoff simulations at other temporal resolutions for which they were not calibrated (e.g., 3 h or 6 h) resulted in a moderate (if any) decrease in model performance, in terms of Nash-Sutcliffe and volume-error efficiencies. The results of this study indicate that if sub-daily forcing data can be secured, flood forecasting in basins with sub-daily concentration times may be possible with model-parameter values calibrated from long time series of daily data. Further studies using more models and basins are required to test the generality of these results.
650 7a TEKNIK OCH TEKNOLOGIERx Samhällsbyggnadsteknik0 (SwePub)2012 hsv//swe
650 7a ENGINEERING AND TECHNOLOGYx Civil Engineering0 (SwePub)2012 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Oceanografi, hydrologi och vattenresurser0 (SwePub)105092 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Oceanography, Hydrology and Water Resources0 (SwePub)105092 hsv//eng
653 a Rainfall-runoff modelling
653 a Parameter transferability
653 a Temporal resolution
653 a Modelling time-step
653 a Flood forecasting
700a Halldin, Svenu Uppsala universitet,Luft-, vatten- och landskapslära,CNDS, Uppsala, Sweden4 aut0 (Swepub:uu)svenhall
700a Xu, Chong-Yuu Uppsala universitet,Luft-, vatten- och landskapslära,Univ Oslo, Dept Geosci, Oslo, Norway4 aut0 (Swepub:uu)chongxu
700a Seibert, Janu Uppsala universitet,Stockholms universitet,Institutionen för naturgeografi,Uppsala University, Sweden; University of Zurich, Switzerland,Luft-, vatten- och landskapslära,Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.;Univ Zurich, Dept Geog, Zurich, Switzerland.4 aut0 (Swepub:uu)janseibe
700a Kauffeldt, A.u Uppsala universitet,Institutionen för geovetenskaper4 aut
710a Uppsala universitetb Luft-, vatten- och landskapslära4 org
773t Journal of Hydrologyd : Elsevier BVg 550, s. 399-411q 550<399-411x 0022-1694x 1879-2707
856u https://doi.org/10.1016/j.jhydrol.2017.05.012y Fulltext
856u https://doi.org/10.1016/j.jhydrol.2017.05.012
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-145337
8564 8u https://doi.org/10.1016/j.jhydrol.2017.05.012
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-330029

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view