Abstract
Over the past decades, urbanization in Arabian Gulf region expands in flood-prone areas at an unprecedented rate. Chronic water stress and potential changes in extreme rainfall attributed to climate change therefore pose unique challenges in planning and designing water management infrastructures. The objective of this study is to develop a framework to integrate climate change variations into intensity-duration-frequency (IDF) curves in Oman. A two-stage downscaling-disaggregation method was applied with rainfall at Tawi-Atair station in Dhofar region. Potential variations of extreme rainfall in future were examined by eight scenarios composed with two general circulation models (GCMs), two representative concentration pathways (RCPs), and two future periods (2040–2059 and 2080–2099). A stochastic weather generator model was used to downscale rainfall output from GCM grid scale to local scale. Downscaled daily data were then disaggregated to hourly and 5-min series by using K-nearest neighbor (K-NN) technique. Annual maximum rainfall extracted from eight future scenarios and also from present climate (baseline period) was used to develop rainfall intensity-frequency relationships for eight durations range from 5 min to 24 h. Results of the K-NN analysis indicate that the optimum window size of 57 days and 181 h is suitable for hourly and 5-min disaggregation models, respectively. Results also predict that the effects of climate change on the rainfall intensity will be more significant on storms with shorter durations and higher return periods. Moving towards the end of the twenty-first century, the return period of extreme rainfall events is likely to decrease due to intensified rainfall events.
Similar content being viewed by others
References
Alam, M. S., & Elshorbagy, A. (2015). Quantification of the climate change-induced variation in intensity-duration-frequency curves in the Canadian prairies. Journal of Hydrology, 527, 990–1005.
Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Tank, A. M. G. K., et al. (2006). Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research, 111, D05109. https://doi.org/10.1029/2005JD006290.
Al-Habsi, M., Gunawardhana, L. N., & Al-Rawas, G. (2014). Trend analysis of climate variability in Salalah. International Journal of Students’ Research in Technology & Management, 2, 168–171.
AlSarmi, S. H., & Washington, R. (2013). Changes in climate extremes in the Arabian Peninsula: analysis of daily data. International Journal of Climatology, 34, 1329–1345.
Burian, S. J., Durrans, S. R., Tomic, S., Pimmel, R. L., & Wai, C. N. (2000). Rainfall disaggregation using artificial neural networks. Journal of Hydrologic Engineering, ASCE, 5, 299–307.
Chandler, R. E., & Wheater, H. S. (2002). Analysis of precipitation variability using generalized linear models: a case study from the west of Ireland. Water Resources Research, 38, 10–1–10-11.
Dhar, T. K., & Khirfan, L. (2016). Climate change adaptation in the urban planning & design research: missing links & research agenda. Journal of Environmental Planning and Management., 60, 602–627. https://doi.org/10.1080/09640568.2016.1178107.
El Bastawesy, M., White, K., & Nasr, A. (2009). Integration of remote sensing & GIS for modelling flash floods in Wadi Hudain catchment, Egypt. Hydrological Processes, 23, 1359–1368.
Ghumman, A. R., Hassan, I., Khan, Q. U. Z., & Kamal, M. A. (2013). Investigation of impact of environmental changes on precipitation pattern of Pakistan. Environmental Monitoring and Assessment, 185, 4897–4905.
Greenbaum, N., Margalit, A., Schick, A. B., & Backer, V. R. (1998). A high magnitude storm & flood in a hyperarid catchment, Nahal Zin, Negev Desert, Israel. Hydrological Processes, 12, 1–23.
Gunawardhana, L. N., & Al-Rawas, A. G. (2016). A comparison of trends in extreme rainfall using 20 years data in three major cities in Oman. The Journal of Engineering Research, 13(2), 137–148.
Gunawardhana, L. N., Al-Rawas, A. G., Kazama, S., & Al-Najar, K. A. (2015). Assessment of future variability in extreme precipitation and the potential effects on the wadi flow regime. Environmental Monitoring and Assessment, 187, 626–645.
Gunawardhana, L. N., Al-Rawas, A. G., Kwarteng, A. Y., Al-Wardy, M., & Charabi, Y. (2017). Potential changes in the number of wet days and its effect on future intense and annual precipitation in northern Oman. Hydrology Research, 49(1), 237–250.
Gunawardhana, L. N., Al-Rawas, G. A., & Al-Hadhrami, G. (2018). Quantification of the changes in intensity and frequency of hourly extreme rainfall attributed to climate change in Oman. Natural Hazards, 92, 1649–1664.
Herath, S. M., Sarukkalige, P. R., & Nguyen, V. T. V. (2016). A spatial temporal downscaling approach to development of IDF relations for Perth airport region in the context of climate change. Hydrological Sciences Journal, 61, 2061–2070.
Hong, N. M., Lee, T. Y., & Chen, Y. J. (2016). Daily weather generator with drought properties by copulas and standardized precipitation indices. Environmental Monitoring and Assessment, 188, 383. https://doi.org/10.1007/s10661-016-5395-z.
Intergovernmental Panel on Climate Change (IPCC). (2012). Managing the risks of extreme events & disasters to advance climate change adaptation. In C. B. Field et al. (Eds.), A special report of working groups I & II of the intergovernmental panel on climate change. New York: Cambridge University Press.
Kazama, S., Sato, A., & Kawagoe, S. (2009). Evaluating the cost of flood damage based on changes in extreme rainfall in Japan. Sustainability Science, 4, 61–69.
Khosravi, K., Pourghasemi, H. R., Chapi, K., & Bahri, M. (2016). Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models. Environmental Monitoring and Assessment, 188, 656. https://doi.org/10.1007/s10661-016-5665-9.
Koutsoyiannis, D., Onof, C., & Wheater, H. S. (2003). Multivariate rainfall disaggregation at a fine timescale. Water Resources Research, 39, 1–18.
Lall, U., & Sharma, A. (1996). A nearest neighbour bootstrap for time series resampling. Water Resources Research, 32, 679–693.
Langhammer, J., & Vilimek, V. (2008). Landscape changes as a factor affecting the course and consequences of extreme floods in the Otava river basin, Czech Republic. Environmental Monitoring and Assessment, 144, 53–66. https://doi.org/10.1007/s10661-007-9941-6.
Lu, Y., Qin, X. S., & Mandapaka, P. V. (2015). A combined weather generator & K-nearest-neighbor approach for assessing climate change impact on regional rainfall extremes. International Journal of Climatology, 35, 4493–4508.
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P., & Wilbanks, T. J. (2010). The next generation of scenarios for climate change research and assessment. Nature, 463, 747–756.
Nowak, K., Prairie, J., Rajagopalan, B., & Lall, U. (2010). A nonparametric stochastic approach for multisite disaggregation of annual to daily streamflow. Water Resources Research, 46 (W08529).
Pilgrim, D. H., Chapman, T. G., & Doran, D. G. (1998). Problems of rainfall-runoff modelling in arid and semiarid regions. Hydrological Sciences, 33, 379–400.
Ramadan, E. (2015). Sustainable urbanization in the Arabian Gulf Region: problems & challenges. Arts & Social Sciences Journal, 6, 2. https://doi.org/10.4172/2151-6200.1000109.
Semenov, M. A., & Barrow, E. M. (1997). Use of a stochastic weather generator in the development of climate change scenarios. Climate Change, 35, 397–414.
Semenov, M. A., & Stratonovitch, P. (2010). The use of multi-model ensembles from global climate models for impact assessments of climate change. Climate Research, 41, 1–14.
Sen, Z. (2008). Modified hydrograph method for arid regions. Hydrological Processes, 22, 356–365.
Symon, C. (2013). Climate change: actions, trends & implications for business: The IPCC fifth assessment report, Working group 1 (available to downlad: https://europeanclimate.org/documents/IPCCWebGuide.pdf)
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. Z. (2003). The changing character of precipitation. Bulletin of the American Meteorological Society, 84, 1205–1217.
Waters, D., Watt, W. E., Marsalek, J., & Anderson, B. C. (2003). Adaptation of a storm drainage system to accommodate increased rainfall resulting from climate change. Journal of Environmental Planning and Management, 46(5), 755–770.
Yasuhara, K., Murakami, S., Mimura, N., Komine, H., & Recio, J. (2007). Influence of global warming on coastal infrastructural instability. Sustainability Science, 2, 13–25.
Funding
This study was supported by the Internal Research Grant (IG/ENG/CAED/16/02) of the Sultan Qaboos University titled as “Trend between the renewal rate of the aquifer and the extreme climate events”. Authors are also grateful to Dr. Rashid Al-Abri and his staff in the Ministry of Regional Municipalities and Water Resources for their support in data collection.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Uraba, M.B., Gunawardhana, L.N., Al-Rawas, G.A. et al. A downscaling-disaggregation approach for developing IDF curves in arid regions. Environ Monit Assess 191, 245 (2019). https://doi.org/10.1007/s10661-019-7385-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10661-019-7385-4