TY - JOUR
T1 - Impact of spatiotemporal characteristics of rainfall inputs on integrated catchment dissolved oxygen simulations
AU - Moreno-Rodenas, Antonio M.
AU - Cecinati, Francesca
AU - Langeveld, Jeroen
AU - Clemens, Francois H.L.R.
PY - 2017/11/28
Y1 - 2017/11/28
N2 - 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.
AB - 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.
KW - Water quality modelling
KW - Geostatistics
KW - Integrated Catchment Modelling
KW - Rainfall
KW - Spatiotemporal variability
KW - OA-Fund TU Delft
UR - http://resolver.tudelft.nl/uuid:8f32594e-0a7f-4a64-913a-479e045d903a
UR - http://www.scopus.com/inward/record.url?scp=85035311465&partnerID=8YFLogxK
U2 - 10.3390/w9120926
DO - 10.3390/w9120926
M3 - Article
AN - SCOPUS:85035311465
SN - 2073-4441
VL - 9
SP - 1
EP - 21
JO - Water
JF - Water
IS - 12
M1 - 926
ER -