Effect of spatiotemporal variation of rainfall on dissolved oxygen depletion in integrated catchment studies

Antonio Moreno Rodenas, Francesca Cecinati, Marie-claire ten Veldhuis, Jeroen Langeveld, Francois Clemens

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientific

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Abstract

This study addresses the effect of spatial and temporal resolution of rainfall fields on the performance of a simplified integrated catchment model for predicting dissolved oxygen concentrations in a river. For that purpose we propose a procedure to generate rainfall products with increasing spatial information at different time step accumulations (10’, 30’ and 60’) at the spatial support of lumped urban catchment systems. Using a rain gauge network and single-polarization C-Band Radar data we generate 4 rainfall products; 1) Homogeneous rainfall from a single rain gauge, 2) Block kriging interpolation from a network of 13 rain gauges, 3) Averaged Radar estimation and 4) Universal block kriging from a rain gauge network and using Radar as an external covariate. Comparison of the model predictions with
monitoring data in the river showed a low sensitivity to the temporal scales proposed and a relative improvement with increasing spatial information linked to the climatological characteristics of the storm period.
Original languageEnglish
Title of host publicationSPN8: Proceedings of the 8th International Conference on Sewer Processes and Networks
Subtitle of host publicationRotterdam, The Netherlands
Number of pages8
Publication statusPublished - 2016
Event8th International Conference on Sewer Processes and Networks - SS Rotterdam, Rotterdam, Netherlands
Duration: 31 Aug 20162 Sep 2016
Conference number: 8
http://www.spn8.nl/

Conference

Conference8th International Conference on Sewer Processes and Networks
Abbreviated titleSPN8
CountryNetherlands
CityRotterdam
Period31/08/162/09/16
Internet address

Keywords

  • Integrated Catchment Modelling;
  • water quality
  • rainfall spatiotemporal variability
  • Geostatistics

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