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  4. Integrating local scale drainage measures in meso scale catchment modelling
 
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Integrating local scale drainage measures in meso scale catchment modelling

Citation Link: https://doi.org/10.15480/882.1343
Publikationstyp
Journal Article
Date Issued
2017-01-25
Sprache
English
Author(s)
Hellmers, Sandra  orcid-logo
Fröhle, Peter  
Institut
Wasserbau B-10  
TORE-DOI
10.15480/882.1343
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1346
Journal
Water  
Citation
Hellmers, S., & Fröhle, P. (2017). Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling. Water, 9(2), 71
Publisher DOI
10.3390/w9020071
Scopus ID
2-s2.0-85013780489
This article presents a methodology to optimize the integration of local scale drainage measures in catchment modelling. The methodology enables to zoom into the processes (physically, spatially and temporally) where detailed physical based computation is required and to zoom out where lumped conceptualized approaches are applied. It allows the definition of parameters and computation procedures on different spatial and temporal scales. Three methods are developed to integrate features of local scale drainage measures in catchment modelling: (1) different types of local drainage measures are spatially integrated in catchment modelling by a data mapping; (2) interlinked drainage features between data objects are enabled on the meso, local and micro scale; (3) a method for modelling multiple interlinked layers on the micro scale is developed. For the computation of flow routing on the meso scale, the results of the local scale measures are aggregated according to their contributing inlet in the network structure. The implementation of the methods is realized in a semi-distributed rainfall-runoff model. The implemented micro scale approach is validated with a laboratory physical model to confirm the credibility of the model. A study of a river catchment of 88 km2 illustrated the applicability of the model on the regional scale.
Subjects
urban drainage
multiscale hydrologic modelling
semi-distributed modelling
SUDS, LID, WSUD & BMPs
DDC Class
620: Ingenieurwissenschaften
Funding(s)
Vor-Projekt- und Projektphase HOOU  
Hamburg Open Online University (HOOU)  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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