Design rainfall in Qatar: sensitivity to climate change scenarios
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Abstract
Design rainfall is needed in the design of numerous engineering infrastructures such as urban drainage systems, bridges, railways, metro systems, highways and flood levees. Design rainfall is derived using regional frequency analysis approach based on observed rainfall data from a large number of stations within a homogeneous region. This paper provides an assessment of the possible impacts of climate change on design rainfalls in Qatar. The future climate conditions are established based on AR4 and A2 categories of emission scenarios (SRES) specified by the Intergovernmental Panel on Climate Change. Predicted 24-h annual maximum rainfall series for both the wet (NCAR-CCSM) and dry scenarios (CSIRO-MK3.5) for the Qatari grid points are extracted for three different periods, which are current (2000–2029), medium-term (2040–2069) and end-of-century climates (2080–2099). Using an L-moments-based index frequency approach, homogeneous regions are established and the best-fit distribution is then used to derive rainfall quantiles for average recurrence intervals (ARIs) of 2, 5, 10, 25, 50 and 100 years. The results show that there is no significant change in the design rainfalls in Qatar in the short term covering 2040–2069; however, a significant change is predicted at the end of century covering 2080–2099. Updated design rainfalls are estimated considering climate change scenarios for the period of 2080–2099 by averaging results from the wet and dry climate scenarios. The increase in 24-h annual maximum rainfall for the period 2080–2099 (compared with the current period 2000–2029) is found to be in the range of 68 and 76 % for 100-year ARI. For the typical design ARIs of 10–20 years, the increase in design rainfall is found to be in the range of 43 and 54 %. The method presented in this study can be applied to other arid regions, in particular to the Middle Eastern countries.
Keywords
Climate change Design rainfalls IDF Qatar Climate variability L-momentsNotes
Acknowledgments
The authors acknowledge the Meteorology Department of Qatar Civil Aviation Authority, Bahrain Civil Aviation Authority, Sharjah Airport and Qatar Ministry of Environment for providing the data used in this study.
References
- Adamowski K, Bougadis J (2003) Detection of trends in annual extreme rainfall. Hydrol Process 17:3547–3560CrossRefGoogle Scholar
- Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B et al (2006) Global observed changes in daily climate extremes of temperature and precipitation. J Geophys Res Atmos 111:D05109. doi: 10.1029/2005JD006290 Google Scholar
- Almazroui M, Islam MN, Jones PD, Athar H, Rahman MA (2012) Recent climate change in the Arabian Peninsula: seasonal rainfall and temperature climatology of Saudi Arabia for 1979–2009. Atmos Res 111:29–45CrossRefGoogle Scholar
- AlSarmi S, Washington R (2011) Recent observed climate change over the Arabian Peninsula. J Geophys Res 116:D11109CrossRefGoogle Scholar
- Arnbjerg-Nielsen K (2006) Significant climate change of extreme rainfall in Denmark. Water Sci Technol 54(6–7):1–8CrossRefGoogle Scholar
- Bates BC, Rahman A, Mein RG, Weinmann PE (1998) Climatic and physical factors that influence the homogeneity of regional floods in south-eastern Australia. Water Resour Res 34(12):3369–3381CrossRefGoogle Scholar
- Bazaraa AS, Ahmed S (1991) Rainfall Characterization in an arid area. Engineering Journal of Qatar University, Department of Civil Engineering, Doha, QatarGoogle Scholar
- Chen YR, Yu B, Jenkins G (2013) Secular variation in rainfall and intensity-frequency-duration curves in Eastern Australia. J Water Clim Change 4(3):244–251CrossRefGoogle Scholar
- Clarke C, Hulley M, Marsalek J, Watt E (2011) Stationarity of AMAX series of short-duration rainfall for long-term Canadian stations: detection of jumps and trends. Can J Civ Eng 38:1175–1184CrossRefGoogle Scholar
- Dwyer IJ, Reed DW (1995) Allowance for discretization in hydrological and environmental risk estimation. Institute for Hydrology, WallingfordGoogle Scholar
- Elagib NA, Addin AAS (1997) Climate variability and aridity in Bahrain. J Arid Environ 36:405–419CrossRefGoogle Scholar
- Guo Y (2006) Updating rainfall IDF relationships to maintain urban drainage design standards. J Hydrol Eng 11:506–509CrossRefGoogle Scholar
- Haddad K, Rahman A (2014) Derivation of short duration design rainfalls using daily rainfall statistics. Nat Hazards 74:1391–1401CrossRefGoogle Scholar
- Haddad K, Rahman A, Green J (2011) Design rainfall estimation in Australia: a case study using L moments and generalized least squares regression. Stoch Environ Res Risk Assess 25(6):815–825CrossRefGoogle Scholar
- Haddad K, Rahman A, Zaman M, Shrestha S (2013) Applicability of Monte Carlo cross validation technique for model development and validation using generalized least squares regression. J Hydrol 482:119–128CrossRefGoogle Scholar
- Hosking JRM, Wallis JR (1993) Some statistics useful in regional frequency analysis. Water Resour Res 29(2):271–281CrossRefGoogle Scholar
- IPCC (2000) Special report on emissions secenarios, Intergovernmental Panel on Climate Change (IPCC). In: Nakicenovic N, Swart R (eds). Cambridge University Press, UKGoogle Scholar
- Ishak E, Rahman A (2014) Detection of changes in flood data in Victoria, Australia over 1975–2011. Hydrol Res 46(5):763–777CrossRefGoogle Scholar
- Ishak E, Haddad K, Zaman M, Rahman A (2011) Scaling property of regional floods in New South Wales Australia. Nat Hazards 58:1155–1167CrossRefGoogle Scholar
- Ishak E, Rahman A, Westra S, Sharma A, Kuczera G (2013) Evaluating the non-stationarity of Australian annual maximum floods. J Hydrol 494:134–145CrossRefGoogle Scholar
- Kwarteng AY, Dorvlob AS, Kumar GTV (2009) Analysis of a 27-year rainfall data (1977–2003) in the Sultanate of Oman. Int J Climatol 29:605–617CrossRefGoogle Scholar
- Landsea CW, Bengtsson L, Knutson TR (2010) Impact of duration thresholds on Atlantic tropical cyclone counts. J Clim 23:2508–2519CrossRefGoogle Scholar
- Laz OU, Rahman A, Yilmaz A, Haddad K (2014) Trends in sub hourly, sub daily and daily extreme rainfall events in eastern Australia. J Water Clim Change 5(4):667–675CrossRefGoogle Scholar
- Leahy P, Kiely G, Scanlon TM (2004) Managed grasslands: a greenhouse gas sink or source? Geophys Res Lett. doi: 10.1029/2004GL021161 Google Scholar
- Lelieveld J et al (2012) Climate change and impacts in the Eastern Mediterranean and the Middle East. Clim Change 114:667–687CrossRefGoogle Scholar
- Madsen H, Arnbjerg-Nielsen K, Mikkelsen PS (2009) Update of regional intensity-duration-frequency curves in Denmark: tendency towards increased storm intensities. Atmos Res 92:343–349CrossRefGoogle Scholar
- Mamoon AA, Jeorgensen NE, Rahman A, Qasem H (2013) Estimation of design rainfall in arid region: a case study for Qatar using L moments. In: 35th IAHR World Congress, Chengdu, China, pp 1–9, 8–13 Sept 2013Google Scholar
- Mamoon AA, Jeorgensen NE, Rahman A, Qasem H (2014a) An exploratory study on the impact of climate change on design rainfalls in the State of Qatar. In: ICESSE Sydney 2014: XII international conference on environmental systems science and engineering, Sydney, Australia, vols 8, 12, Part VI, pp 727–734, 15–16 Dec 2014Google Scholar
- Mamoon AA, Jeorgensen NE, Rahman A, Qasem H (2014b) Derivation of new design rainfall in Qatar using L-moments based index frequency approach. Int J Sustain Built Environ 3:111–118CrossRefGoogle Scholar
- Meehl G et al (2007) Global climate projections, in climate change 2007: the physical science basis. In: Solomon S et al (eds) Contribution of working group i to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 747–845Google Scholar
- Nasrallah HA, Balling RC Jr (1993) Analysis of recent climatic changes in the Arabian Gulf region. Environ Conserv 20(3):223–226CrossRefGoogle Scholar
- Rahman A, Bates BC, Mein RG, Weinmann PE (1999) Regional flood frequency analysis for ungauged basins in south-eastern Australia. Aust J Water Resour 3(2):199–207Google Scholar
- Steward EJ (1989) Area reduction factors for design storm construction: joint use of rain gauge and radar data. Institute for Hydrology, WallingfordGoogle Scholar
- Tryhorn L, DeGaetano A (2011) A comparison of techniques for downscaling extreme precipitation over the Northeastern United States. Int J Climatol 31(13):1975–1989CrossRefGoogle Scholar
- Wang D, Hagen SC, Alizad K (2013) Climate change impact and uncertainty analysis of extreme rainfall events in the Apalachicola River basin, Florida. J Hydrol 480:125–135CrossRefGoogle Scholar
- Yilmaz AG, Perera BJC (2014) Extreme rainfall non-stationarity investigation and intensity-frequency-duration relationship. J Hydrol Eng 19:1160–1172CrossRefGoogle Scholar
- Zhang X et al (2005) Trends in Middle East climate extreme indices from 1950 to 2003. J Geophys Res 110:D22104. doi: 10.1029/2005JD006181 CrossRefGoogle Scholar