Abstract
Over the past 100 years, numerous water management infrastructures have been constructed to serve the water-related needs of people worldwide (Mitchell 1990). The larger ones are typically reservoirs with a dam and are often built for multiple purposes (e.g., water supply, disaster control, energy production, recreation, and navigation). These large water management infrastructures are the center of local and regional water resources management (Grigg 1996; Asmal et al. 2000). With the projected increase of water usage in the coming decades due to population growth and economic development, dams and reservoirs will remain one of the most ubiquitous and centralized solutions to satisfy water demands (Graf et al. 2010; Schlosser et al. 2014).
With permission from Wiley, this chapter is adapted from: Chen, X. and Hossain, F. (2016), Revisiting extreme storms of the past 100 years for future safety of large water management infrastructures. Earth’s Future, 4: 306–322. https://doi.org/10.1002/2016ef000368.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Asmal K et al (2000) Dams and development: a new framework for decision-making. The report of the world commission on dams. Earthscan Publications Ltd, London
Bullard RD (2008) Equity, unnatural man-made disasters, and race: why environmental justice matters. Res Soc Probl Public Policy 15:51–85
Chang C (1998) A case study of excessive rainfall forecasting. Meteorol Atmos Phys 66(3–4):215–227. https://doi.org/10.1007/BF01026634
Chang H, Kumar A, Niyogi D, Mohanty U, Chen F, Dudhia J (2009) The role of land surface processes on the mesoscale simulation of the July 26, 2005 heavy rain event over Mumbai, India. Global Planet Change 67(1):87–103. https://doi.org/10.1016/j.gloplacha.2008.12.005
Chen X, Hossain F (2016) Revisiting extreme storms of the past 100 years for future safety of large water management infrastructures. Earth’s Future (AGU). https://doi.org/10.1002/2016ef000368
Chen X, Hossain F, Leung R (2017) Establishing a numerical modeling framework for hydrologic engineering analyses of extreme storm events. ASCE J Hydrol Eng. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001523
Ellen SD, Wieczorek GF (1988) Landslides, floods, and marine effects of the storm of January 3–5, 1982, in the San Francisco Bay region, California
Graf WL, Wohl E, Sinha T, Sabo JL (2010) Sedimentation and sustainability of western American reservoirs. Water Resour Res 46(12). https://doi.org/10.1029/2009wr008836
Grigg NS (1996) Water resources management. Wiley Online Library, Hoboken
Hu Z, Yan C, Wang Y (1983) Numerical simulation of rain and seeding processes in warm layer clouds. Acta Meteorologica Sinica 1:008
Jansa A, Genoves A, Garcia‐Moya JA (2000) Western Mediterranean cyclones and heavy rain. Part 1: numerical experiment concerning the Piedmont flood case. Meteorol Appl 7(4):323–333
Kato T (1998) Numerical simulation of the band-shaped torrential rain observed over southern Kyushu, Japan on 1 August 1993. J Meteorol Soc Jpn 76(1):97–128
Kumar A, Dudhia J, Rotunno R, Niyogi D, Mohanty U (2008) Analysis of the 26 July 2005 heavy rain event over Mumbai, India using the Weather Research and Forecasting (WRF) model. QJR Meteorol Soc 134:1897–1910. https://doi.org/10.1002/qj.325
Liu J, Bray M, Han D (2012) Sensitivity of the Weather Research and Forecasting (WRF) model to downscaling ratios and storm types in rainfall simulation. Hydrol Process 26(20):3012–3031. https://doi.org/10.1002/hyp.8247
Livneh B, Rosenberg EA, Lin C, Nijssen B, Mishra V, Andreadis KM, Maurer EP, Lettenmaier DP (2013) A long-term hydrologically based dataset of land surface fluxes and states for the conterminous United States: update and extensions. J Clim 26(23):9384–9392
Mitchell B (1990) Integrated water management: international experiences and perspectives. Belhaven Press, London
National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce (1994) NCEP/NCAR global reanalysis products, 1948-continuing, http://rda.ucar.edu/datasets/ds090.0/. Research data archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder, Colo. (Updated monthly.) Accessed 23 Oct 2015
National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce (2000) NCEP/DOE reanalysis 2(R2). http://rda.ucar.edu/datasets/ds091.0/, Research data archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder, Colo. Accessed 23 Oct 2015
Pei L, Moore N, Zhong S, Luo L, Hyndman DW, Heilman WE, Gao Z (2014) WRF model sensitivity to land surface model and cumulus parameterization under short-term climate extremes over the southern great plains of the United States. J Clim 27(20):7703–7724. https://doi.org/10.1175/JCLI-D-14-00015.1
Rajeevan M, Kesarkar A, Thampi SB, Rao TN, Radhakrishna B, Rajasekhar M (2010) Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India. Ann Geophys 28(2):603–619
Schlosser CA, Strzepek K, Gao X, Fant C, Blanc É, Paltsev S, Jacoby H, Reilly J, Gueneau A (2014) The future of global water stress: an integrated assessment. Earth’s Future 2(8):341–361. https://doi.org/10.1002/2014EF000238
Stensrud DJ (2007) Parameterization schemes: keys to understanding numerical weather prediction models. Cambridge University Press, Cambridge
Tan E (2010) Development of a methodology for probable maximum precipitation estimation over the American river watershed using the WRF model. University of California, Davis, CA
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Chen, X., Hossain, F. (2020). Infrastructure-Relevant Storms of the Last Century. In: Hossain, F. (eds) Resilience of Large Water Management Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-26432-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-26432-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-26431-4
Online ISBN: 978-3-030-26432-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)