Estimating Rainfall Design Values for the City of Oslo, Norway—Comparison of Methods and Quantification of Uncertainty

Lutz, Julia; Grinde, Lars; Dyrrdal, Anita Verpe

doi:10.3390/w12061735

Cited by 16 publications

(6 citation statements)

References 43 publications

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“…• Norway (NO): Until the late 1990s, observations were made by tipping-bucket gauges of type Plumatic, with a 0.2 mm volume resolution and a 1-min time step. From that time, these gauges were all successively replaced by the Lambrecht 1518 H3 tipping-bucket pluviometer with 0.1 mm and 1-min resolutions (Lutz et al 2020). Unheated tippingbucket gauges are not operative in the winter season.…”

Section: Observationsmentioning

confidence: 99%

Sub-daily rainfall extremes in the Nordic–Baltic region

et al. 2022

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Short-duration rainfall extremes are associated with a range of societal hazards, notably pluvial flooding but in addition, e.g., erosion-driven nutrient transport and point-source contamination. Fundamental for all analysis, modelling and risk assessment related to short-duration rainfall extremes is the access to and analysis of high-resolution observations. In this study, sub-daily rainfall observations from 543 meteorological stations in the Nordic–Baltic region were collected, quality-controlled and consistently analyzed in terms of records, return levels, geographical and climatic dependencies, time of occurrence of maxima and trends. The results reflect the highly heterogeneous rainfall climate in the region, with longitudinal and latitudinal gradients as well as local variability, and overall agree with previous national investigations. Trend analyses in Norway and Denmark indicated predominantly positive trends in the period 1980–2018, in line with previous investigations. Gridded data sets with estimated return levels and dates of occurrence (of annual maxima) are provided open access. We encourage further efforts towards international exchange of sub-daily rainfall observations as well as consistent regional analyses in order to attain the best possible knowledge on which rainfall extremes are to be expected in present as well as future climates.

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Section: Observationsmentioning

confidence: 99%

Sub-daily rainfall extremes in the Nordic–Baltic region

et al. 2022

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“…The five cities cover three climatic classes, based on the Köppen Geiger classification system (Kottek et al 2006), as presented in Table 1. The precipitation data are collected and quality-checked (Lutz et al 2020) by the Norwegian Meteorological Institute (MET). Hence, no further data processing has been done to the precipitation data.…”

Section: Long-term Datamentioning

confidence: 99%

Towards improving the hydrologic design of permeable pavements

Abdalla¹,

Muthanna

Alfredsen

et al. 2022

Blue-Green Systems

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The common approach of the hydrologic design of permeable pavements (PPs) uses synthetic rainfall events. This study assessed the validity of the design approach using synthetic rainfall events for undrained PP. Synthetic rainfall events (25-year return period) were used to design undrained pavements for five Norwegian cities. The effectiveness of these pavements was tested using long-term simulation (12–30 years) with high temporal resolution (1 min). The Storm Water Management Model (SWMM) was used to generate time series of surface runoff for PPs and flow duration curves were applied to analyse the hydrological performances. Designing PP using synthetic rainfall events was found to underestimate the storage layer depth of the permeable pavements leading to the frequent occurrence of surface runoff, which is considered a failure of the hydrologic design of undrained pavements. Long-term simulation of surface runoff was found to provide valuable information for the hydrologic design of PP and can be used as a basis for the PP hydrologic design. In the future, it is recommended to use long-term precipitation data generated from climate change models to incorporate the effect of climate change in the design of PP.

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“…The factor was selected based on the values reported by Hanssen-Bauer et al [32] for the case study region (Agder) under high emissions scenario (RCP8.5). For details of the Bayesian MCMC method, we refer the reader to the studies by Reis Jr and Stedinger [33], Gaume et al [34], and Lutz et al [35].…”

Section: Hydrodynamic Simulations and Input Rangesmentioning

confidence: 99%

Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

Alipour

Leal

2021

Water

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Two-dimensional (2D) hydrodynamic models are one of the most widely used tools for flood modeling practices and risk estimation. The 2D models provide accurate results; however, they are computationally costly and therefore unsuitable for many real time applications and uncertainty analysis that requires a large number of model realizations. Therefore, the present study aims to (i) develop emulators based on SVR and ANN as an alternative for predicting the 100-year flood water level, (ii) improve the performance of the emulators through dimensionality reduction techniques, and (iii) assess the required training sample size to develop an accurate emulator. Our results indicate that SVR based emulator is a fast and reliable alternative that can predict the water level accurately. Moreover, the performance of the models can improve by identifying the most influencing input variables and eliminating redundant inputs from the training process. The findings in this study suggest that the training data size equal to 70% (or more) of data results in reliable and accurate predictions.

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Estimating Rainfall Design Values for the City of Oslo, Norway—Comparison of Methods and Quantification of Uncertainty

Cited by 16 publications

References 43 publications

Sub-daily rainfall extremes in the Nordic–Baltic region

Sub-daily rainfall extremes in the Nordic–Baltic region

Towards improving the hydrologic design of permeable pavements

Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

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