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

Moreno-Rodenas, Antonio; Cecinati, Francesca; Langeveld, Jeroen; Clemens, F.H.L.R.

doi:10.3390/w9120926

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Hence, this project is still ongoing, with further improvements to the RTC strategy, as well as its robustness, currently being tested. Moreno-Rodenas et al (2017) andCamacho-Suarez et al (2019) describe research on checking uncertainty in the models used and the impact of spatial and temporal variability of input data and models used to describe the system.…”

Section: Objectivesmentioning

confidence: 99%

“…Hence, some of these locations were abandoned, and since 2009 eight rain gauges have been operated by WDD in the area. Merging nationwide C-band radar rainfall estimation (5 min aggregated at 1 km 2 resolution) with rain gauge data, and the effect of rainfall resolution on integrated water quality model simulations have recently been investigated and described in Moreno-Rodenas et al (2017).…”

Section: Rainfallmentioning

confidence: 99%

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Metrology in Urban Drainage and Stormwater Management: Plug and pray

2021

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The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for errors or omissions that may be made. DisclaimerThe information provided and the opinions given in this publication are not necessarily those of IWA and should not be acted upon without independent consideration and professional advice. IWA and the Editors and Authors will not accept responsibility for any loss or damage suffered by any person acting or refraining from acting upon any material contained in this publication.

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Section: Objectivesmentioning

confidence: 99%

Section: Rainfallmentioning

confidence: 99%

Metrology in Urban Drainage and Stormwater Management: Plug and pray

2021

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“…Hence, this project is still ongoing, with further improvements to the RTC strategy, as well as its robustness, currently being tested. Moreno-Rodenas et al (2017) and Camacho-Suarez et al (2019) describe research on checking uncertainty in the models used and the impact of spatial and temporal variability of input data and models used to describe the system.…”

Section: Objectivesmentioning

confidence: 99%

Data collection in urban drainage and stormwater management systems – case studies

Schellart

Blumensaat

Clemens

et al. 2021

Metrology in Urban Drainage and Stormwater Management: Plug and Pray

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Data collection in urban drainage systems comes with many challenges. However, many examples already exist, containing numerous useful lessons learned. This chapter therefore contains several urban drainage and stormwater management metrology case studies, selected to cover a wide range of scopes, scales, objectives, climates, data validation methods, and data storage approaches. The case studies are initiated by academics as well as by institutions from the water industry.

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“…The fully integrated model was implemented in the platform WEST (DHI). Further detail in the model and system characteristics can be found at Langeveld et al (2013b) and Moreno-Rodenas et al (2017a). Figure 14 (Annex A) depicts the model structure scheme.…”

Section: The Integrated Catchment Modelmentioning

confidence: 99%

Parametric emulation and inference in computationally expensive integrated urban water quality simulators

Moreno-Rodenas

Langeveld

Clemens

2019

Environ Sci Pollut Res

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Water quality environmental assessment often requires the joint simulation of several subsystems (e.g. wastewater treatment processes, urban drainage and receiving water bodies). The complexity of these integrated catchment models grows fast, leading to potentially over-parameterised and computationally expensive models. The receiving water body physical and biochemical parameters are often a dominant source of uncertainty when simulating dissolved oxygen depletion processes. Thus, the use of system observations to refine prior knowledge (from experts or literature) is usually required. Unfortunately, simulating realworld scale water quality processes results in a significant computational burden, for which the use of sampling intensive applications (e.g. parametric inference) is severely hampered. Data-driven emulation aims at creating an interpolation map between the parametric and output multidimensional spaces of a dynamic simulator, thus providing a fast approximation of the model response. In this study a large-scale integrated urban water quality model is used to simulate dissolved oxygen depletion processes in a sensitive river. A polynomial expansion emulator was proposed to approximate the link between four and eight river physical and biochemical river parameters and the dynamics of river flow and dissolved oxygen concentration during one year (at hourly frequency). The emulator scheme was used to perform a sensitivity analysis and a formal parametric inference using local system observations. The effect of different likelihood assumptions (e.g. heteroscedasticity, normality and autocorrelation) during the inference of dissolved oxygen processes is also discussed. This study shows how the use of datadriven emulators can facilitate the integration of formal uncertainty analysis schemes in the hydrological and water quality modelling community.

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

Cited by 7 publications

References 21 publications

Metrology in Urban Drainage and Stormwater Management: Plug and pray

Metrology in Urban Drainage and Stormwater Management: Plug and pray

Data collection in urban drainage and stormwater management systems – case studies

Parametric emulation and inference in computationally expensive integrated urban water quality simulators

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