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INDIAN INSTITUTE OF TECHNOLOGY ROORKEE
Abhishek Chintawar, M.Tech, IIT Roorkee - 247 667 (UK) India
ASSESSING THE RISKS OF CLIMATE CHANGE IN URBAN
DEVELOPMENT AND DRAINAGE
DEPARTMENT OF WATER RESOURCES AND
DEVELOPMENT
2
CONTENTS –
 Introduction
 Objectives
 Methodology
 Literature Review
 Conclusion
 References
3
INTRODUCTION – What is Climate Change
UNFCCC IPCC
Change of climate that is attributed directly
or indirectly to human activity that alters the
composition of the global atmosphere and
that is in addition to natural climate
variability observed over comparable time
periods.
Change in the state of the climate that can
be identified by changes in the mean and/or
the variability of its properties, and that
persists for an extended period, typically
decades or longer.
4
Causes of Climate Change -
 Natural Causes –
• Volcanic Activity
• Solar Output
• Earth’s orbit around the sun
 Anthropogenic Causes –
• GHG’s
• Degradation of Forests
5
Effects of Climate Change –
6
OBJECTIVES -
 Assessment on the urban rainfall extremes and urban
drainage. ( Majorly due to the anthropogenic factors )
 Revisions in the design criteria by considering the impact of
climate change.
 Improvement of the urban drainage system performance.
 Adopting practices to ensure adaptation, mitigation,
resilience and the responses.
7
METHODOLOGY – CLIMATE CHANGE IMPACT
ESTIMATIONS ARE BASED ON SIMULATIONS WITH CLIMATE MODELS
Theory -
 Conducting CC studies on
urban drainage is highly
complicated, mainly because
of low resolution of data,
which cannot be applied to
local regions.
 There is a gap in between the
local drainage scales and the
model scales.
Figure -
8
METHODOLOGY -
Models -
 General Circulation
Models GCM’s a d
Regional Circulation
Models RCM’s .
 Downscaling of results
fro GCM’s/RCM’s are
needed because these
models are not able to
describe the rainfall at
high resolution required
for drainage studies.
Figure -
9
METHODOLOGY -
MODELS -
 GCM’s Spatial Resolutio is
100 by 100 km whereas of
RCM’s is y k a d 5
by 50 km.
 RCM’s a use i itial a d
boundary conditions from the
output of GCM’s, si e RCM
accounts for finer scale.
DOWNSCALING -
 Downscaling is the process of
moving from large scale
predictor to the local
predictand, and through this
process a relationship
between the predictor and
predictand is obtained.
10
METHODOLOGY -
 After the downscaling is done the obtained results are then
verified. Climate models provide an assessment of
anthropogenic impacts only.
 After that we use Urban Rainfall-Runoff Simulation to obtain
the runoff data for the urban catchments. This data is then
further used for all design purposes.
 Suitability should be checked before adoption the modelling
and downscaling technique since projected impacts are
uncertain due to uncertainty in climate projections and also
due to uncertainties in models, since models are often
calibrated and validated against past data which may have
only few extremes.
11
LITERATURE REVIEW -
SR.
NO.
AUTHORS TOPIC OBJECTIVES CONCLUSIONS
1. Mailhot,A.,
et al.,(2009)
Design of urban
drainage
infrastructure
Revision Modifies the IDF curves. 3
parameters – climate
projections, level of
performance, expected lifetime.
2. Semadeni-
Davies, A., et
al.,(2008)
Sewer system Impact of CC Increase sewer infiltration,
Reduced capacity of system due
to overflow.
3. Leichenko,
R.,(2011)
Urban resilience Need of urban
cities to become
resilient
Ecological, disaster risk,
economics, governance.
4. Willems, P.,
et al.(2013)
Urban drainage
design rules -
Belgium
Revision Change in IDF, Systems currently
designed for 20yr return period
might flood with a mean
recurrence interval of 5yr by
end of the century.
12
LITERATURE REVIEW -
SR.
NO.
AUTHOR TOPIC OBJECTIVES CONCLUSIONS
5. Willem,P., et
al.(2012)
Impact
assessment
Methods and
shortcomings
Statistical downscaling better than
dynamic downscaling, 25yr time
series are too short for trend
detection for single precipitation
series.
6. Ashley, R. M.,
et al.(2005)
Flooding Predicting risks
and responses
Current sewer modelling techniques
replicate the performance of below
ground pipe systems, but do not
accurately predict surface flows that
occur after the onset of flooding.
7. Hamin, E. M.,
et al.(2009)
Urban form
and CC
Balancing
adaptation and
mitigation
Mitigation-To reduce global warming
over long term(dense), Adaptation-
Protect from sudden dangers(open).
13
LITERATURE REVIEW -
SR.
NO.
AUTHOR TOPIC OBJECTIVES CONCLUSION
8. Arnbjerg-
Nielsen, K., et
al.(2013)
Impacts of CC Rainfall
extremes due
to
anthropogenic
induced CC
Majority of GCM simulations are
based on low CC scenario,
leading to calculated global
surface temp. increase of 2-3°C.
Combination of natural and man
made causes is difficult to
assess.
9. Karamouz, M,
et al.(2010)
Improvement of
drainage
performance
Selection of
BMP’s
Algorithm is developed selecting
the BMP’s to i prove syste
performance and reliability in
dealing with floods.
14
CONCLUSIONS -
 Evaluating CC and its impact on urban flooding increases
the reliability of urban drainage.
 Urban development should be done keeping in mind
parameters like mitigation, adaptation, resilience, etc.
15
REFERENCES -
[1] Arnbjerg-Nielsen, K., Willems, P., Olsson, J., Beecham, S.,
Pathirana, A., Gregersen, I. B., & Nguyen, V. T. V. (2013).
Impacts of climate change on rainfall extremes and urban
drainage systems: a review. Water Science and
Technology, 68(1), 16-28.
[2] Ashley, R. M., Balmforth, D. J., Saul, A. J., & Blanskby, J. D.
(2005). Flooding in the future–predicting climate change, risks
and responses in urban areas. Water Science and
Technology, 52(5), 265-273.
[3] Hamin, E. M., & Gurran, N. (2009). Urban form and climate
change: Balancing adaptation and mitigation in the US and
Australia. Habitat international, 33(3), 238-245.
16
REFERENCES -
[4] Karamouz, M., Hosseinpour, A., & Nazif, S. (2010).
Improvement of urban drainage system performance under
climate change impact: Case study. Journal of Hydrologic
Engineering, 16(5), 395-412.
[5] Leichenko, R. (2011). Climate change and urban
resilience. Current opinion in environmental sustainability, 3(3),
164-168.
[6] Mailhot, A., & Duchesne, S. (2009). Design criteria of urban
drainage infrastructures under climate change. Journal of
Water Resources Planning and Management, 136(2), 201-208.
[7] Semadeni-Davies, A., Hernebring, C., Svensson, G., &
Gustafsson, L. G. (2008). The impacts of climate change and
urbanisation on drainage in Helsingborg, Sweden: Combined
sewer system. Journal of Hydrology, 350(1), 100-113.
17
REFERENCES -
[8] Vörösmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B.
(2000). Global water resources: vulnerability from climate
change and population growth. science, 289(5477), 284-288.
[9] Willems, P., Arnbjerg-Nielsen, K., Olsson, J., & Nguyen, V. T.
V. (2012). Climate change impact assessment on urban rainfall
extremes and urban drainage: methods and
shortcomings. Atmospheric research, 103, 106-118.
[10] Willems, P. (2013). Revision of urban drainage design
rules after assessment of climate change impacts on
precipitation extremes at Uccle, Belgium. Journal of
Hydrology, 496, 166-177.

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Climate Change

  • 1. INDIAN INSTITUTE OF TECHNOLOGY ROORKEE Abhishek Chintawar, M.Tech, IIT Roorkee - 247 667 (UK) India ASSESSING THE RISKS OF CLIMATE CHANGE IN URBAN DEVELOPMENT AND DRAINAGE DEPARTMENT OF WATER RESOURCES AND DEVELOPMENT
  • 2. 2 CONTENTS –  Introduction  Objectives  Methodology  Literature Review  Conclusion  References
  • 3. 3 INTRODUCTION – What is Climate Change UNFCCC IPCC Change of climate that is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and that is in addition to natural climate variability observed over comparable time periods. Change in the state of the climate that can be identified by changes in the mean and/or the variability of its properties, and that persists for an extended period, typically decades or longer.
  • 4. 4 Causes of Climate Change -  Natural Causes – • Volcanic Activity • Solar Output • Earth’s orbit around the sun  Anthropogenic Causes – • GHG’s • Degradation of Forests
  • 5. 5 Effects of Climate Change –
  • 6. 6 OBJECTIVES -  Assessment on the urban rainfall extremes and urban drainage. ( Majorly due to the anthropogenic factors )  Revisions in the design criteria by considering the impact of climate change.  Improvement of the urban drainage system performance.  Adopting practices to ensure adaptation, mitigation, resilience and the responses.
  • 7. 7 METHODOLOGY – CLIMATE CHANGE IMPACT ESTIMATIONS ARE BASED ON SIMULATIONS WITH CLIMATE MODELS Theory -  Conducting CC studies on urban drainage is highly complicated, mainly because of low resolution of data, which cannot be applied to local regions.  There is a gap in between the local drainage scales and the model scales. Figure -
  • 8. 8 METHODOLOGY - Models -  General Circulation Models GCM’s a d Regional Circulation Models RCM’s .  Downscaling of results fro GCM’s/RCM’s are needed because these models are not able to describe the rainfall at high resolution required for drainage studies. Figure -
  • 9. 9 METHODOLOGY - MODELS -  GCM’s Spatial Resolutio is 100 by 100 km whereas of RCM’s is y k a d 5 by 50 km.  RCM’s a use i itial a d boundary conditions from the output of GCM’s, si e RCM accounts for finer scale. DOWNSCALING -  Downscaling is the process of moving from large scale predictor to the local predictand, and through this process a relationship between the predictor and predictand is obtained.
  • 10. 10 METHODOLOGY -  After the downscaling is done the obtained results are then verified. Climate models provide an assessment of anthropogenic impacts only.  After that we use Urban Rainfall-Runoff Simulation to obtain the runoff data for the urban catchments. This data is then further used for all design purposes.  Suitability should be checked before adoption the modelling and downscaling technique since projected impacts are uncertain due to uncertainty in climate projections and also due to uncertainties in models, since models are often calibrated and validated against past data which may have only few extremes.
  • 11. 11 LITERATURE REVIEW - SR. NO. AUTHORS TOPIC OBJECTIVES CONCLUSIONS 1. Mailhot,A., et al.,(2009) Design of urban drainage infrastructure Revision Modifies the IDF curves. 3 parameters – climate projections, level of performance, expected lifetime. 2. Semadeni- Davies, A., et al.,(2008) Sewer system Impact of CC Increase sewer infiltration, Reduced capacity of system due to overflow. 3. Leichenko, R.,(2011) Urban resilience Need of urban cities to become resilient Ecological, disaster risk, economics, governance. 4. Willems, P., et al.(2013) Urban drainage design rules - Belgium Revision Change in IDF, Systems currently designed for 20yr return period might flood with a mean recurrence interval of 5yr by end of the century.
  • 12. 12 LITERATURE REVIEW - SR. NO. AUTHOR TOPIC OBJECTIVES CONCLUSIONS 5. Willem,P., et al.(2012) Impact assessment Methods and shortcomings Statistical downscaling better than dynamic downscaling, 25yr time series are too short for trend detection for single precipitation series. 6. Ashley, R. M., et al.(2005) Flooding Predicting risks and responses Current sewer modelling techniques replicate the performance of below ground pipe systems, but do not accurately predict surface flows that occur after the onset of flooding. 7. Hamin, E. M., et al.(2009) Urban form and CC Balancing adaptation and mitigation Mitigation-To reduce global warming over long term(dense), Adaptation- Protect from sudden dangers(open).
  • 13. 13 LITERATURE REVIEW - SR. NO. AUTHOR TOPIC OBJECTIVES CONCLUSION 8. Arnbjerg- Nielsen, K., et al.(2013) Impacts of CC Rainfall extremes due to anthropogenic induced CC Majority of GCM simulations are based on low CC scenario, leading to calculated global surface temp. increase of 2-3°C. Combination of natural and man made causes is difficult to assess. 9. Karamouz, M, et al.(2010) Improvement of drainage performance Selection of BMP’s Algorithm is developed selecting the BMP’s to i prove syste performance and reliability in dealing with floods.
  • 14. 14 CONCLUSIONS -  Evaluating CC and its impact on urban flooding increases the reliability of urban drainage.  Urban development should be done keeping in mind parameters like mitigation, adaptation, resilience, etc.
  • 15. 15 REFERENCES - [1] Arnbjerg-Nielsen, K., Willems, P., Olsson, J., Beecham, S., Pathirana, A., Gregersen, I. B., & Nguyen, V. T. V. (2013). Impacts of climate change on rainfall extremes and urban drainage systems: a review. Water Science and Technology, 68(1), 16-28. [2] Ashley, R. M., Balmforth, D. J., Saul, A. J., & Blanskby, J. D. (2005). Flooding in the future–predicting climate change, risks and responses in urban areas. Water Science and Technology, 52(5), 265-273. [3] Hamin, E. M., & Gurran, N. (2009). Urban form and climate change: Balancing adaptation and mitigation in the US and Australia. Habitat international, 33(3), 238-245.
  • 16. 16 REFERENCES - [4] Karamouz, M., Hosseinpour, A., & Nazif, S. (2010). Improvement of urban drainage system performance under climate change impact: Case study. Journal of Hydrologic Engineering, 16(5), 395-412. [5] Leichenko, R. (2011). Climate change and urban resilience. Current opinion in environmental sustainability, 3(3), 164-168. [6] Mailhot, A., & Duchesne, S. (2009). Design criteria of urban drainage infrastructures under climate change. Journal of Water Resources Planning and Management, 136(2), 201-208. [7] Semadeni-Davies, A., Hernebring, C., Svensson, G., & Gustafsson, L. G. (2008). The impacts of climate change and urbanisation on drainage in Helsingborg, Sweden: Combined sewer system. Journal of Hydrology, 350(1), 100-113.
  • 17. 17 REFERENCES - [8] Vörösmarty, C. J., Green, P., Salisbury, J., & Lammers, R. B. (2000). Global water resources: vulnerability from climate change and population growth. science, 289(5477), 284-288. [9] Willems, P., Arnbjerg-Nielsen, K., Olsson, J., & Nguyen, V. T. V. (2012). Climate change impact assessment on urban rainfall extremes and urban drainage: methods and shortcomings. Atmospheric research, 103, 106-118. [10] Willems, P. (2013). Revision of urban drainage design rules after assessment of climate change impacts on precipitation extremes at Uccle, Belgium. Journal of Hydrology, 496, 166-177.