Optimal rainfall temporal patterns for urban drainage design in the context of climate change

2010 ◽  
Vol 62 (5) ◽  
pp. 1170-1176 ◽  
Author(s):  
V.-T.-V. Nguyen ◽  
N. Desramaut ◽  
T.-D. Nguyen
Keyword(s):  
Climate Change ◽  
Extreme Value Distribution ◽  
Climate Change Impacts ◽  
Atmospheric Environment ◽  
Systematic Evaluation ◽  
Accurate Estimation ◽  
Urban Drainage ◽  
Design Storm ◽  
Drainage Design ◽  
Environment Service

The main objective of the present study is to propose a method for estimating an optimal temporal storm pattern for urban drainage design in southern Quebec (Canada) in the context of climate change. Following a systematic evaluation of the performance of eight popular design storm models for different typical urban basins, it was found that the Canadian Atmospheric Environment Service (AES) storm pattern and the Desbordes model (with a peak intensity duration of 30 min) were the most accurate for estimating runoff peak flows while the Watt model gave the best estimation of runoff volumes. Based on these analyses, an optimal storm pattern was derived for southern Quebec region. The proposed storm pattern was found to be the most suitable for urban drainage design in southern Quebec since it could provide accurate estimation of both runoff peak flow and volume. Finally, a spatial-temporal downscaling method, based on a combination of the spatial statistical downscaling SDSM technique and the temporal scaling General Extreme Value distribution, was used to assess the climate change impacts on the proposed optimal design storm pattern and the resulting runoff properties.

Design storms for urban drainage design

1984 ◽  
Vol 11 (3) ◽  
pp. 574-584 ◽  
Author(s):  
J. Marsalek ◽  
W. E. Watt
Keyword(s):  
Computational Procedure ◽  
Design Flow ◽  
Atmospheric Environment ◽  
Urban Drainage ◽  
Design Storm ◽  
Antecedent Conditions ◽  
Wide Range ◽  
Drainage Design ◽  
Definition Of ◽  
Environment Service

The design storm concept is well established in Canadian urban drainage practice, but appropriate use is hindered by an incomplete definition of design storms and their applications. To remedy this situation, it is recommended that design storms be described for various regions and a wide range of durations and return periods; these storms should be based on local Atmospheric Environment Service (AES) rainfall data, given for both the rational method and hydrograph model applications, and supplemented by specifications of the computational procedure and normal antecedent conditions. Such design storms would produce peak flows of approximately the same return period as that of the design flow. None of the existing design storms has all these features but an acceptable set of design storms could be developed using existing Canadian data. Key words: design storms, urban drainage, stormwater, hydrological design, precipitation, runoff computations.

The effects of non-stationarity on the evaluation of critical design storms

1998 ◽  
Vol 37 (11) ◽  
pp. 187-193 ◽  
Author(s):  
C. De Michele ◽  
A. Montanari ◽  
R. Rosso
Keyword(s):  
Daily Rainfall ◽  
Extreme Value Distribution ◽  
Flood Management ◽  
Extreme Value ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Design Storm ◽  
Critical Design ◽  
Urban Drainage Systems

The critical storm is generally carried out to design urban drainage systems and other flood management works starting from the available historical information. Its evaluation associated with a fixed return period is usually obtained by fitting the annual maxima of the rainfall depth with an extreme value distribution. This statistical procedure, however, leads to dubious results when the data present a non-stationarity, induced for example, by a long-term variability. To assess the effects of non-stationarity, four daily rainfall series observed in Italy, with at least 90 years of continuous data, are analysed here. For each record and each year of the observation period, critical design storms are estimated fitting the annual maxima collected in the past, so allowing us to assess the progress of the design storm along time. Four different extreme value distributions are used. The results show that an analysis of non-stationarity is required when urban drainage systems and other hydraulic engineering works are designed.

scholarly journals Modelling flood damages under climate change conditions – a case study for Germany

2014 ◽  
Vol 14 (12) ◽  
pp. 3151-3168 ◽  
Author(s):  
F. F. Hattermann ◽  
S. Huang ◽  
O. Burghoff ◽  
W. Willems ◽  
H. Österle ◽  
...  
Keyword(s):  
Climate Change ◽  
Flood Hazard ◽  
Extreme Value Distribution ◽  
Climate Change Impacts ◽  
Climate Scenario ◽  
Flood Frequency ◽  
Damage Functions ◽  
Insurance Sector ◽  
Main River ◽  
Flood Damages

Abstract. The aim of the study is to analyze and discuss possible climate change impacts on flood damages in Germany. The study was initiated and supported by the German insurance sector whereby the main goal was to identify general climate-related trends in flood hazard and damages and to explore sensitivity of results to climate scenario uncertainty. The study makes use of climate scenarios regionalized for the main river basins in Germany. A hydrological model (SWIM) that had been calibrated and validated for the main river gauges, was applied to transform these scenarios into discharge for more than 5000 river reaches. Extreme value distribution has been fitted to the time series of river discharge to derive the flood frequency statistics. The hydrological results for each river reach have been linked using the flood statistics to related damage functions provided by the German Insurance Association, considering damages on buildings and small enterprises. The result is that, under the specific scenario conditions, a considerable increase in flood related losses can be expected in Germany in future, warmer, climate.

scholarly journals Impacts of climate change on rainfall extremes and urban drainage systems: a review

2013 ◽  
Vol 68 (1) ◽  
pp. 16-28 ◽  
Author(s):  
K. Arnbjerg-Nielsen ◽  
P. Willems ◽  
J. Olsson ◽  
S. Beecham ◽  
A. Pathirana ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Design And Optimization ◽  
Precipitation Patterns ◽  
Changing Climate ◽  
Rainfall Extremes ◽  
Urban Drainage Systems ◽  
Impacts Of Climate Change

A review is made of current methods for assessing future changes in urban rainfall extremes and their effects on urban drainage systems, due to anthropogenic-induced climate change. The review concludes that in spite of significant advances there are still many limitations in our understanding of how to describe precipitation patterns in a changing climate in order to design and operate urban drainage infrastructure. Climate change may well be the driver that ensures that changes in urban drainage paradigms are identified and suitable solutions implemented. Design and optimization of urban drainage infrastructure considering climate change impacts and co-optimizing these with other objectives will become ever more important to keep our cities habitable into the future.

scholarly journals Does nonstationarity in rainfall require nonstationary intensity–duration–frequency curves?

2017 ◽  
Vol 21 (12) ◽  
pp. 6461-6483 ◽  
Author(s):  
Poulomi Ganguli ◽  
Paulin Coulibaly
Keyword(s):  
Precipitation Extremes ◽  
Urban Drainage ◽  
Design Standards ◽  
Climate Change Projections ◽  
Design Storm ◽  
Drainage Design ◽  
Current Design ◽  
Recurrence Intervals ◽  
Intensity Duration Frequency ◽  
Frequency Curves

Abstract. In Canada, risk of flooding due to heavy rainfall has risen in recent decades; the most notable recent examples include the July 2013 storm in the Greater Toronto region and the May 2017 flood of the Toronto Islands. We investigate nonstationarity and trends in the short-duration precipitation extremes in selected urbanized locations in Southern Ontario, Canada, and evaluate the potential of nonstationary intensity–duration–frequency (IDF) curves, which form an input to civil infrastructural design. Despite apparent signals of nonstationarity in precipitation extremes in all locations, the stationary vs. nonstationary models do not exhibit any significant differences in the design storm intensity, especially for short recurrence intervals (up to 10 years). The signatures of nonstationarity in rainfall extremes do not necessarily imply the use of nonstationary IDFs for design considerations. When comparing the proposed IDFs with current design standards, for return periods (10 years or less) typical for urban drainage design, current design standards require an update of up to 7 %, whereas for longer recurrence intervals (50–100 years), ideal for critical civil infrastructural design, updates ranging between  ∼ 2 and 44 % are suggested. We further emphasize that the above findings need re-evaluation in the light of climate change projections since the intensity and frequency of extreme precipitation are expected to intensify due to global warming.

A 1-h urban design storm for Canada

1986 ◽  
Vol 13 (3) ◽  
pp. 293-300 ◽  
Author(s):  
W. E. Watt ◽  
K. C. A. Chow ◽  
W. D. Hogg ◽  
K. W. Lathem
Keyword(s):  
Urban Design ◽  
Regional Analysis ◽  
Temporal Distribution ◽  
Atmospheric Environment ◽  
Design Storm ◽  
Wide Range ◽  
Modelling Techniques ◽  
Intensity Duration Frequency ◽  
Two Parameters ◽  
Environment Service

The advent of stormwater modelling techniques has resulted in the need for a Canadian urban design storm. As a first stage in meeting this need, a 1-h urban design storm has been developed. This design storm, which is fully described by two parameters and the rainfall depth as given by Atmospheric Environment Service (AES) intensity–duration–frequency data, is specified for a wide range of return periods for all regions of Canada. Extensive comparisons with observed 1-h storms, both in the temporal domain and the frequency domain, indicate that the two-parameter mathematical model is capable of simulating individual rainfall events and an average or 'design' event for any particular site. The design storm model has been extended on a regional basis by evaluating the two parameters for each of 45 AES stations across Canada. Regional values of the parameters have been derived so that a design storm can be determined for an area without rainfall records. Key words: design storm, urban drainage, storm water, rainfall, temporal distribution, regional analysis.

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