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Water 2017, 9(12), 926; https://doi.org/10.3390/w9120926

Impact of Spatiotemporal Characteristics of Rainfall Inputs on Integrated Catchment Dissolved Oxygen Simulations

1
Section Sanitary Engineering, Water Management Department, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft 2628 CN, The Netherlands
2
Department of Civil Engineering, University of Bristol, Bristol BS8 1TR, UK
3
Partners4UrbanWater, Javastraat 104A, Nijmegen 6524 MJ, The Netherlands
4
Deltares, Department of Hydraulic Engineering, Delft 2600 MH, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 23 October 2017 / Revised: 17 November 2017 / Accepted: 23 November 2017 / Published: 28 November 2017
(This article belongs to the Special Issue Quantifying Uncertainty in Integrated Catchment Studies)
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Abstract

Integrated Catchment Modelling aims to simulate jointly urban drainage systems, wastewater treatment plant and rivers. The effect of rainfall input uncertainties in the modelling of individual urban drainage systems has been discussed in several studies already. However, this influence changes when simultaneously simulating several urban drainage subsystems and their impact on receiving water quality. This study investigates the effect of the characteristics of rainfall inputs on a large-scale integrated catchment simulator for dissolved oxygen predictions in the River Dommel (The Netherlands). Rainfall products were generated with varying time-aggregation (10, 30 and 60 min) deriving from different sources of data with increasing spatial information: (1) Homogeneous rainfall from a single rain gauge; (2) block kriging from 13 rain gauges; (3) averaged C-Band radar estimation and (4) kriging with external drift combining radar and rain gauge data with change of spatial support. The influence of the different rainfall inputs was observed at combined sewer overflows (CSO) and dissolved oxygen (DO) dynamics in the river. Comparison of the simulations with river monitoring data showed a low sensitivity to temporal aggregation of rainfall inputs and a relevant impact of the spatial scale with a link to the storm characteristics to CSO and DO concentration in the receiving water. View Full-Text
Keywords: Integrated Catchment Modelling; geostatistics; rainfall; spatiotemporal variability; water quality modelling Integrated Catchment Modelling; geostatistics; rainfall; spatiotemporal variability; water quality modelling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Moreno-Rodenas, A.M.; Cecinati, F.; Langeveld, J.; Clemens, F.H.L.R. Impact of Spatiotemporal Characteristics of Rainfall Inputs on Integrated Catchment Dissolved Oxygen Simulations. Water 2017, 9, 926.

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