Water-related disasters: A review and commentary

doi:10.1007/s11707-011-0205-y

Front Earth Sci

0, Vol.

Issue () : 371-377 https://doi.org/10.1007/s11707-011-0205-y

REVIEW ARTICLE

Water-related disasters: A review and commentary

Walter M. Grayman(email.png)

Consulting Engineer, 321 Ritchie Ave., Cincinnati, OH 45215, USA

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Abstract

The purpose of this paper is to explore the nature of water-related disasters, look at the trends in water-related disasters, categorize water-related disasters in several dimensions, provide insights on the impacts of such disasters and discuss the predictability of disasters. Disasters may be succinctly defined as natural or human events, usually unexpected, that result in significant impacts in terms of a variety of metrics. Metrics for evaluating the impacts of disasters include economic damage, environmental damage, fatalities, reconstruction cost, aesthetic damage, disruption of normal activities, destruction of irreplaceable objects, and long-term or permanent loss of species. Disasters may be categorized in terms of causes (natural events, human induced, or a combination). Water-related disasters may be further categorized as floods, storms, waves, slides, droughts, epidemics, contamination and climate change. The temporal and spatial scale of water-related disasters vary by many orders of magnitude ranging from seconds to centuries and from a few square kilometers to the entire earth.

Keywords disasters water resources hydrology flood hurricane

Corresponding Author(s): Grayman Walter M.,Email:grayman@fuse.net

Issue Date: 05 December 2011

Cite this article:

Walter M. Grayman. Water-related disasters: A review and commentary[J]. Front Earth Sci, 0, (): 371-377.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-011-0205-y
https://academic.hep.com.cn/fesci/EN/Y0/V/I/371

Fig.1 Temporal range of different types of water-related disasters

Fig.2 Spatial range of different types of water-related disasters

Tab.1 Top 10 deadliest natural disasters

Tab.2 Top 10 US Hurricanes

Fig.3 A conceptual model relating impact reduction to warning time

1	Adhikari Y, Yoshitani J (2009). Global trends in water-related disasters: An insight for policymakers. International Centre for Water Hazard and Risk Management (ICHARM) and UNESCO. Insight paper from United Nations World Water Assessment Programme Third World Water Development
2	Brinkley D (2007). The Great Deluge: Hurricane Katrina, New Orleans, and the Mississippi Gulf Coast. New York: Harper Perennial
3	Centre for Research on the Epidemiology of Disasters (2011). http://www.emdat.be/. Accessed October, 2011
4	Gleick P H (1996). Water resources. In: Schneider S H, ed. Encyclopedia of Climate and Weather. New York: Oxford University Press, Vol. 2, 817–823
5	Grayman W M (2009). Characterization of Water Resources and Environmental Disasters. In: Proceeding of EWRI-ASCE World Water & Envir. Resources Congress
6	IPCC (2007). Climate Change 2007: Impacts, Adaptation, and Vulnerability. Parry M L, Canziani O F, Palutikof J P, van der Linden P J, Hanson C E, eds. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press
7	Johnson G P, Holmes R R Jr, Waite L A (2004). The great flood of 1993 on the Upper Mississippi River—10 years later. USGS Fact Sheet 2004–3024. http://il.water.usgs.gov/pubs/fs2004-3024.pdf. Accessed October, 2011
8	Junger S (1997). The Perfect Storm. New York: W. W. Norton & Company
9	Larson E (1999). Isaac’s Storm: A man, a Time, and the Deadliest Hurricane in History. New York: Crown Publishers
10	Leatherman S P, Zhang K, Xiao C (2007). Lake Okeechobee, Florida: The next hurricane disaster? Water Resources Impact, AWRA , 9(6): 5–7
11	Matalas N C (1998). Note on the assumption of hydrologic stationarity. Water Resources Update, UCOWR, Issue No. 112
12	Perry R W, Quarantelli E L (2005). What is a Disaster? New Answers to Old Questions. Philadelphia PA: Xlibris Corporation
13	Quarantelli E L (1998). What is a Disaster? A Dozen Perspectives on the Question . London: Routledge, Taylor and Francis
14	Rodríguez H, Quarantelli E L, Dynes R R (2007). Handbook of Disaster Research. Berlin: Springer
15	Stoltman J P, Lidstone J, de Chano L M (2004). International Perspectives on Natural Disasters: Occurrence, Mitigation, and Consequences . London: Kluwer Academic Publishers
16	UN International Strategy for Disaster Reduction (2011). UN-ISDR: Terminology on disaster risk reduction. Updated 2009. http://www.unisdr.org/we/inform/terminology. Accessed October, 2011
17	United Nations (2011). http://magic.un.org.mx/www2/desastres-capacitacion/wbi/GLOSSARY.doc, Accessed October, 2011
18	USGS (2007). The uniform California earthquake rupture forecast, Version 2 (UCERF 2). USGS Open File Report 2007–1437 . http://pubs.usgs.gov/of/2007/1437/
19	World Bank (2010). Natural Hazards, Unnatural Disasters: The Economics of Effective Prevention

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