scholarly journals Impacts of Climate Change on Urban Drainage Systems by Future Short-Duration Design Rainstorms

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2718
Author(s):  
Han Zhang ◽  
Zhifeng Yang ◽  
Yanpeng Cai ◽  
Jing Qiu ◽  
Bensheng Huang
Keyword(s):  
Climate Change ◽  
Short Duration ◽  
Urban Drainage ◽  
Annual Maximum ◽  
Return Periods ◽  
Rcp Scenarios ◽  
Maximum Value ◽  
Urban Drainage Systems ◽  
Delta Change ◽  
Impacts Of Climate Change

The adverse impacts of climate change and urbanization are converging to challenge the waterlogging control measures established in the Dong Hao Chong (DHC) Basin. Based on representative concentration pathway (RCP) scenarios, the future (2030–2050) waterlogging was assessed for the DHC basin and combined with future design rainfall. The delta change factors were projected using the regional climate model, RegCM4.6, and the annual maximum one-day rainstorm was modified to develop the annual maximum value method. By combining the delta change and annual maximum value methods, a future short-duration design rainstorm formula is developed in this study. The Chicago hyetograph shapes indicated that the peak rainfall intensity and amount both increase in the five return periods with two RCP scenarios. The InfoWorks ICM urban flood model is used to simulate the hydrological response. The results show that climate change will exacerbate urban waterlogging in DHC Basin. The maximum inundation volume and number of inundation nodes were expected to increase in the five return periods under the RCP4.5 and RCP8.5 scenarios, respectively. The submerged area is increasing due to climate change. This study highlights the link between climate change and urban drainage systems, and suggests that the effect of climate change in extreme rainfall should be considered in urban waterlogging management and drainage system design.

Impacts of climate change on urban drainage systems – a case study in Fredrikstad, Norway

2009 ◽  
Vol 6 (4) ◽  
pp. 323-332 ◽  
Author(s):  
Linmei Nie ◽  
Oddvar Lindholm ◽  
Geir Lindholm ◽  
Elisabeth Syversen
Keyword(s):  
Climate Change ◽  
Urban Drainage ◽  
Drainage Systems ◽  
Urban Drainage Systems ◽  
Impacts Of Climate Change

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 Climate and hydrological variability: the catchment filtering role

2015 ◽  
Vol 19 (1) ◽  
pp. 379-387 ◽  
Author(s):  
I. Andrés-Doménech ◽  
R. García-Bartual ◽  
A. Montanari ◽  
J. B. Marco
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Peak Flow ◽  
Flood Frequency ◽  
Annual Maximum ◽  
Return Periods ◽  
Rainfall Runoff ◽  
Maximum Peak ◽  
Hydrological Variability ◽  
The Impact

Abstract. Measuring the impact of climate change on flood frequency is a complex and controversial task. Identifying hydrological changes is difficult given the factors, other than climate variability, which lead to significant variations in runoff series. The catchment filtering role is often overlooked and thus may hinder the correct identification of climate variability signatures on hydrological processes. Does climate variability necessarily imply hydrological variability? This research aims to analytically derive the flood frequency distribution based on realistic hypotheses about the rainfall process and the rainfall–runoff transformation. The annual maximum peak flow probability distribution is analytically derived to quantify the filtering effect of the rainfall–runoff process on climate change. A sensitivity analysis is performed according to typical semi-arid Mediterranean climatic and hydrological conditions, assuming a simple but common scheme for the rainfall–runoff transformation in small-size ungauged catchments, i.e. the CN-SCS model. Variability in annual maximum peak flows and its statistical significance are analysed when changes in the climatic input are introduced. Results show that depending on changes in the annual number of rainfall events, the catchment filtering role is particularly significant, especially when the event rainfall volume distribution is not strongly skewed. Results largely depend on the return period: for large return periods, peak flow variability is significantly affected by the climatic input, while for lower return periods, infiltration processes smooth out the impact of climate change.

scholarly journals EVALUATING THE IMPACTS OF CLIMATE CHANGE ON STREAMFLOW IN SREPOK WATERSHED

2012 ◽  
Vol 15 (4) ◽  
pp. 18-32
Author(s):  
Khoi Nguyen Dao
Keyword(s):  
Climate Change ◽  
Assessment Tool ◽  
Swat Model ◽  
Climate Change Scenarios ◽  
Large Decrease ◽  
Climate Scenarios ◽  
Delta Change ◽  
Water Assessment ◽  
Soil And Water ◽  
Impacts Of Climate Change

In this paper, the author investigated the effects of climate change on streamflow in Srepok watershed. The climate change scenarios were built by downscaling method (delta change method) based on the outputs of MIROC 3.2 Hires GCM. The SWAT (Soil and Water Assessment Tool) model was used to investigate the impacts on streamflow under climate change scenarios. The calibration and validation results showed that the SWAT model was able to simulate the streamflow well. Their difference in simulating the streamflow under future climate scenarios was also investigated. Results indicated a 1.3-3.9oC increase in annual temperature and a -4.4 to -0.5% decreases in annual precipitation corresponded to a decrease in streamflow of about -7.6 to -2.8%. The large decrease in precipitation and runoff are observed in the dry season.

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