scholarly journals Climate Change Impacts on Rainfall Extremes and Urban Drainage: a State-of-the-Art Review

Author(s):  
P. Willems ◽  
J. Olsson ◽  
K. Arnbjerg-Nielsen ◽  
S. Beecham ◽  
A. Pathirana ◽  
...  
2013 ◽  
Vol 68 (1) ◽  
pp. 16-28 ◽  
Author(s):  
K. Arnbjerg-Nielsen ◽  
P. Willems ◽  
J. Olsson ◽  
S. Beecham ◽  
A. Pathirana ◽  
...  

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.


2006 ◽  
Vol 54 (6-7) ◽  
pp. 9-15 ◽  
Author(s):  
M. Grum ◽  
A.T. Jørgensen ◽  
R.M. Johansen ◽  
J.J. Linde

That we are in a period of extraordinary rates of climate change is today evident. These climate changes are likely to impact local weather conditions with direct impacts on precipitation patterns and urban drainage. In recent years several studies have focused on revealing the nature, extent and consequences of climate change on urban drainage and urban runoff pollution issues. This study uses predictions from a regional climate model to look at the effects of climate change on extreme precipitation events. Results are presented in terms of point rainfall extremes. The analysis involves three steps: Firstly, hourly rainfall intensities from 16 point rain gauges are averaged to create a rain gauge equivalent intensity for a 25 × 25 km square corresponding to one grid cell in the climate model. Secondly, the differences between present and future in the climate model is used to project the hourly extreme statistics of the rain gauge surface into the future. Thirdly, the future extremes of the square surface area are downscaled to give point rainfall extremes of the future. The results and conclusions rely heavily on the regional model's suitability in describing extremes at time-scales relevant to urban drainage. However, in spite of these uncertainties, and others raised in the discussion, the tendency is clear: extreme precipitation events effecting urban drainage and causing flooding will become more frequent as a result of climate change.


2014 ◽  
Vol 52 (2) ◽  
pp. 559-562

Warwick McKibbin of the Australian National University and the Brookings Institution reviews “Climate Economics: The State of the Art”, by Frank Ackerman and Elizabeth A. Stanton. The Econlit abstract of this book begins: “Reviews the state of the art in climate economics and its background sciences. Discusses climate science for economists; damage functions and climate impacts; climate change impacts on natural systems; climate change impacts on human systems; climate economics before and after the Stern Review; uncertainty; public goods and public policy; economics and the climate policy debate; technologies for mitigation; the economics of mitigation; and adaptation. Ackerman and Stanton are Senior Economists at Synapse Energy Economics, Cambridge, Mass.”


2010 ◽  
Vol 62 (5) ◽  
pp. 1170-1176 ◽  
Author(s):  
V.-T.-V. Nguyen ◽  
N. Desramaut ◽  
T.-D. Nguyen

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.


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