Abstract
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.
Highlights
More than 50% of the world’s population lives already in urban areas
The output values of the simulation runs are: (1) the flux of water drained by each layer and per time step size; (2) the total discharge computed for each layer and per unit area; and
Calibration Results: For a 2% gradient of the green roof model a saturation index of 35% is reached in the drainage layer before backwater and exceedance water flows into the layer L3
Summary
More than 50% of the world’s population lives already in urban areas. This proportion increased from 30% in 1950 and it is projected to be increased up to 66% in 2050 [1]. This situation poses an increasing stress on the urban environment, infrastructure and water management. Models are playing an increasing role in water management to study these highly complex systems in urban and rural areas [2,3]. The recent development in modelling the interactions between urban water system components is reviewed in e.g., [4]. To achieve an overall sustainable water system, the knowledge and the ongoing development of these submodels
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