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Publisher DOI: 10.3390/w9020071
Title: Integrating local scale drainage measures in meso scale catchment modelling
Language: English
Authors: Hellmers, Sandra  
Fröhle, Peter 
Keywords: urban drainage; multiscale hydrologic modelling; semi-distributed modelling; SUDS, LID, WSUD & BMPs
Issue Date: 25-Jan-2017
Source: Hellmers, S., & Fröhle, P. (2017). Integrating Local Scale Drainage Measures in Meso Scale Catchment Modelling. Water, 9(2), 71
Abstract (english): 
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.
DOI: 10.15480/882.1343
ISSN: 2073-4441
Journal: Water 
Institute: Wasserbau B-10 
Document Type: Article
Project: Vor-Projekt- und Projektphase HOOU 
Hamburg Open Online University (HOOU) 
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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