Estimating hurricane hazards using a GIS system

Natural Hazards and Earth System Science

Volumn 8, Issue 4, 2008, Pages 839-854

  Taramelli, A ^a,e   Melelli, L ^b   Pasqui, M ^c   Sorichetta, A ^d  

^a Doherty Earth Observatory of Columbia University   (United States)

^b UNIVERSITY OF PERUGIA   (Italy)

^c INSTITUTE OF BIOMETEOROLOGY   (Italy)

^d UNIVERSITY OF MILAN   (Italy)

^e ICRAM   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; DECISION MAKING; GIS; HAZARD ASSESSMENT; HURRICANE; INTEGRATED APPROACH; POPULATION DISTRIBUTION; REMOTE SENSING; RISK ASSESSMENT; SPATIAL ANALYSIS;

EID: 49749085227     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-8-839-2008     Document Type: Article

References (88)

1. Abraham, J., Strapp, J. W., Fogarty, C., and Wolde, M.: Extratropical transition of hurricane Michael. American Meteorological Society, BAMS - Sept. 2004, 1323-1339, 2004.
2. Alexander, D.: Globalization of disaster: trends, problems and dilemmas, J. Int. Aff., 59(2), 1-22, 2006.
3. Alcantara-Ayala, I.: Geomorphology, natural hazards, vulnerability and prevention of natural disasters in developing countries, Geomorphology, 47(2-4), 107-124, 2002.
4. Bao, S., Xie, L., and Pietrafesa, L. J: An asymmetric hurricane wind model for storm surge and wave forecasting, AMS Annual Meeting, Atlanta, 2006.
5. Bausch, D.: HAZUS: FEMAs GIS-Based risk assessment tool, Proceedings of the Geospatial Information & Technology Association's 7th. Annual Conference and Exhibition: A Geospatial Odyssey, http://gisdevelopment.net/proceedings/ gita/2003/disman/dism09.shtml, last access: 8 August 2008, 2003.
6. Bell, H. M. and Tobin, G. A.: Efficient and effective? The 100-year flood in the communication and perception of flood risk, Environmental Hazards, 7(4), 302-311, 2007.
7. Blain, C. A.: Modelling methodologies for the prediction of hurricane storm surge, Recent Advances In Marine Science and Technology, 96, 177-189, 1997.
8. Blain, C. A., Westerink, J. J., and Luettich, R. A.: The influence of domain size on the response characteristics of a hurricane storm surge model, J. Geophys. Res., 99(18), 467-479, 1994.
9. Blain, C. A., Westerink, J. J., and Luettich, R. A.: Grid convergence studies for the prediction of hurricane storm surge, Int. J. Numer. Meth. Fl., 26, 369-401, 1998.
10. Boceo, G., Mendoza, M., and Velazquez, A.: Remote sensing and GIS-based regional geomorphological mapping - a tool for land use planning in developing countries, Geomorphology, 39(3-4), 211-219, 2001.
11. Boyd, K., Hervey, R., and Stradtner, J.: Assessing the vulnerability of the Mississippi Gulf Coast to coastal storms using an on-line GIS-based coastal risk atlas, Proceedings of the OCEANS 2002 MTS/IEEE Conference and Exhibition, 29-31 October 2002, Biloxi, MS, 1234-1240; also available at: http://www.ncddc. noaa.gov/cra/Papers/vuln.paper, last access: 8 August 2008, 2002.
12. Burpee, R. W.: The origin and structure of easterly waves in the lower troposphere of North. Africa, J. Atmos. Si., 29, 77-90, 1972.
13. Burrough, P. A.: GIS and geostatistics: essential partners for spatial analysis, Environ. Ecol. Stat., 8, 361-377, 2001.
14. Carson, T. N. and Arthur, S. T.: The impact of land use-land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective, Global Planet. Change, 25, 49-65, 2000.
15. Center for International Earth Science Information Network (CIESIN), Columbia University and Centro Internacional de Agricultura Tropical (CIAT): Gridded Population of the World (GPW), Version 3, Palisades, NY: Columbia University, available at: http://beta.sedac.ciesin.colu.mbia.edu/gpw, last access: 8 August 2008, 2004.
16. Colby, J., Mulcahy, K., and Wang, Y.: Modelling Flooding Extent from Hurricane Floyd in the Coastal Plains of North Carolina, Environmental Hazards, 2, 157-168, 2000.
17. Correia, F. N., Rego, F. C., Saraiva, M. G., and Ramos, I.: Coupling GIS with hydrologl and hydraulic flood modelling, Water Resour. Manag., 12, 229-249, 1998.
18. Correia, F. N., Saraiva, M. G., and Ramos, I.: GIS-Based Flood Analysis and Floodplain Management, Water Resour. Manag., 13(1), 23-37, 1999.
19. Costa-Cabral, M. and Burges, S. J.: Digital Elevation Model Networks (DEMON): A Model of Flow Over Hillslopes for Computation of Contributing and Dispersal Areas, Water Resour. Res., 30(6), 1681-1692, 1994.
20. Emmons, H. W., Chang, C. T., and Watson, B. C.: Taylor instability of finite surface waves, Journal of Fluid Mechanics Digital Archive, 7, 177-193, doi:10.1017/S0022112060001420, 2006.
21. Freeland, G. L. and Dietz, R. S.: Plate Tectonic Evolution of Caribbean-Gulf of Mexico Region, Nature, 232, 20-23, 1971.
22. Giannini, A., Kushnir, Y., and Cane, M. A.: Interannual Variability of Caribbean Rainfall, ENSO and the Atlantic Ocean, J. Climate, 13, 297-311, 2000.
23. Gonnert, G., Dube, S. K., Murty, T. S., and Siefert, W.: Global Storm Surges: Theory. Observations and Applications, edited by: German Coastal Engineering Research Council, 63, 623 pp., 2001.
24. Goring, D.: Getting a handle on extreme sea-levels, Aniwaniwa, 11, 3-12, 1999.
25. Gorokhovich, Y. and Voustianiouk, A.: Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics, Remote Sens. Environ., 104(4), 409-415, 2006.
26. Grohman, G., Kroenung, G., and Strebeck, J.: Filling SRTM voids: the Delta Surface Fill Method, Photogramm.. Eng. Remote Sens., March, 3, 213-216, 2006.
27. Guzman-Tapia, Y., Ramirez-Sierra, M. J., Escobedo-Ortegon, J., and Dumonteil, E.: Effect of Hurricane Isidore on Triatoma dimiata distribution and chagas disease transmission risk in the Yucatan peninsula of Mexico, Am. J. Trop. Med. Hyg., 73(6), 1019-1025, 2005.
28. Hayden, M. H., Drobot, S., Radil, S., Benight, C., Gruntfest, E. C., and Barnes, L. R.: Information sources for flash flood warnings in Denver, CO and Austin, TX, Environmental Hazards, 7(3), 211-219, 2007.
29. Hancock, G. R. and Evans, K. G.: Channel head location and characteristics using digital elevation model, Earth Surf. Process. Landforms, 31, 809-824, 2004.
30. Hansen, M., Denies, R., Townshend, J. R. G., and Sohlberg, R.: Global land cover classification at 1 km resolution using a decision tree classifier. Int. J. Remote Sens., 21, 1331-1365, 2000.
31. Holland, G. J.: An analytic model of the wind and pressure profiles in hurricanes, Mon. Weather Rev., 108, 1212-1218, 1980.
32. Holweg, E. J.: Mariner's guide for hurricane awareness in the North Atlantic Basin, National Weather Service, United States, 2000.
33. Howard, R., Dodge, P., Doggett, A., Finney, J., Gurley, K., Levitan, M., Reinhold, T., Schroeder, J., and Stone, G.: The Landfall, of Hurricane Lili in Louisiana: A Summary of Cooperative Data Collection Efforts, International Conference on Wind Engineering, Lubbock, Texas, 2003.
34. Jiang, H., Halverson, J. B., and Simpson, J.: Difference of rainfall distribution for tropical cyclones over land and ocean and rainfall potential derived from satellite observations and its implication on hurricane landfall flooding prediction, J. Hydrometeor, 12(1), 29-43, 2003.
35. Jenson, S. K. and Domingue, J. O.: Extracting topographic structure from digital elevation data for geographic information system analysis, Photogramm. Eng. Remote Sens., 54(11), 1593-1600, 1988.
36. Jones, M. T.: User guide to the Centenary Edition of the GEBCO Digital Atlas and its data sets, available at: http://www.ngdc. noaa.gov/mgg/gebco/, last access: 8 August 2008, 2003.
37. Joyce, R. J. and Ferraro, R.: Improvements of CMORPH Resulting from Limb Adjustments and Normalization of AMSU-B Rain-fall, 14th Conference on Satellite Meteorology and Oceanography, 28 January-2 February 2006, Atlanta, USA, available at: http://ams.confex.com/ams/pdfpape.rs/104615.pdf, last access: 11 August 2008, 2006.
38. Kerry, E.: Increasing destructiveness of Tropical Cyclones over the past 30 Years, Nature, 436, 686-688, 2005.
39. Klein, R. J. T., Nicholls, R. J., and Thomalla, F.: Resilience to natural hazards: how useful is this concept?, Environmental Hazard, 5(1-2), 35-45, 2004.
40. Kok, K. and Winograd, M.: Modelling land-use change for Central America, with spatial reference to the impact of hurricane Mitch, Ecol. Model, 149, 53-69, 2002.
41. Levizzani, V. and Mugnai, A.: Rainfall measurements from space: Where are we?, Proc. 14th Int. Conf. on Clouds and Precipitation, Bologna, Italy, 18-23 July, 2004.
42. van Lynden, G. W. J. and Mantel, S.: The role of GIS and remote sensing in land degradation assessment and conservation mapping: some user experiences and expectations, Int. J. Appl. Earth Obs., 3(1), 61-68, 2001.
43. Melelli, L. and Taramelli, A.: An example of debris-flows hazard modelling using GIS, Nat. Hazards Earth Syst. Sci., 4, 347-358, 2004, http://www.nat-hazards-earth-syst-sci.net/4/347/2004/.
44. McInnes, R. G.: Responding to the risks from climate change in coastal zones, a good practice guide, Ventnor: Isle of Council, 2006.
45. McInnes, R. G, Tomalin, D., and Jakeways, J.: Coastal change, climate and instability, EU Environment LIFE project, Ventnor: Isle of Council, 2000.
46. Montero, W., Paniagua, S., Kussmaul, S., and Rivier, F.: Geodinámica interna de Costa Rica, Rev. Geol. Amer. Central, 14, 1-12, 1992.
47. Mucher, C. A. and Badts, D. E. P. J.: Global Land Cover 2000: Evaluation of the SPOT VEGETATION sensor for land use mapping, Wageningen, Altena, Green World Research, p. 49, 2002.
48. Munro, A.: Seeking storm surges, New Zealand Science Monthly, 10(1.1), 11, 1999.
49. OCHA: OCHA Situation Report n.2, web source: http: //www.reliefweb.int/ rw/RWB.NSF/db900SID/SNAO-6GZSTG? OpenDocument, last access: 8 August 2008, 2005a.
50. OCHA: OCHA Situation Report n.3, web source: http://www. reliefweb.int/rw/RWB.NSF/db900SID/EVOD-6H3DTK? OpenDocument&rc=2&emid= TC-2005-000173-SLV, last access: 8 August 2008, 2005b.
51. O'Hare, G.: Hurricane 07B in the Godavari delta, Andhra Pradesh, India: vulnerability, mitigation and the spatial impact, The Geographical Journal, 167(1), 23-38, 2001.
52. Palmieri, S., Teodonico, L., Siani, A. M., and Casale, G. R.: Tropical storm impact in Central America, Meteorol. Appl., 13, 21-28, 2006.
53. Pasch, R. J. and Roberts, D. P.: Tropical Cyclone Report - Hurricane Stan, 1-5 October 2005, National Hurricane Center, web source: http://www.nhc.noaa.gov/2005atl.an.shtml, last access: 8 August 2008, 2006.
54. Pender, G. and Neelz, S.: Use of computer models of flood inundation to facilitate communication in flood risk management, Environmental Hazards, 7(2), 106-114, 2007.
55. Penning-Rowsell, E. (Ed.): Improving Flood Hazard Management Across Europe, Middlesex University Press, London, 1996.
56. Penning-Rowsell, E. and Fordham, M. (Eds.): Floods across Europe, Flood Hazard Assessment, Modelling and Management, Middlesex University Press, London, 1994.
57. Pelupessy, W. (Ed.): Perspectives on the Agro-export Economy in Central America, Macmillan, Washington, 175 pp., 1991.
58. Pielke Jr., R. A., Rubeira, J., Landsea, C., Fernandez, M. L., and Klein, R.: Hurricane vulnerability in Latin America and the Caribbean: normalised damage and loss potentials, Natural Hazards Review, ASCE, Aug., 101-114, 2003.
59. Pielke Jr., R. A., Gratz, J., Landsea, C. W., Collins, D., Saunders, M. A., and Musulin, R.: Normalized Hurricane Damages in the United States: 1900-2005, Natural. Hazards Review, 9(1), 29-42, 2008.
60. Puecker, T. K. and Douglas, D. H.: Detection of surface-specific points by local parallel processing of discrete terrain elevation data, Computer Graphics and Image Processing, 4, 375-387, 1975.
61. Riehl, H.: Tropical Meteorology, McGraw-Hill, 392 pp., 1954.
62. Russel, G. L., Miller, J. R., Rind, D., Ruedy, R. A., Schmidt, G. A., and Sheth, S.: Comparison of model and observed regional temperature changes during the past 40 years, J. Geophys. Res., 105(14), 891-898, 2000.
63. Saito, K., Spence, R. J. S., Going, C., and Markus, M.: Using high-resolution satellite images for post-earthquake building damage assessment: a study following the 26 January 2001 Gujarat earthquake, Earthquake Spectra, 20, 1-25, 2004.
64. Sanyal J. and Lu, X. X.: Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review, Natural Hazards, 33(2), 283-301, 2004.
65. Saunders, M.: Global warming: the view in 1998, Benefield Greig Hazard Research Centre, University College-London, 120 pp. 1998.
66. Scheidegger, A. E.: Hazards: singularities in geomorphic systems, Geomorphology, 10, 19-25, 1994.
67. Schumann, D. A. and Partridge, W. L. (Eds.): The human ecology of tropical land settlement in Latin America. Westview Special Studies on Latin America and the Caribbean, Westview Press, Boulder Arizona, 470 pp., 1989.
68. Shen, B. W., Atlas, R., Reale, O., Lin, S. J., Chern, J. D., Chang, J., Henze, C., and Li, J. L.: Hurricane forecasts with a global mesoscale-resolving model: Preliminary results with Hurricane Katrina (2005), Geophys. Res. Lett., 33, L13813, doi:10.1029/2006GL026143, 2006.
69. Shipley, S. T.: GIS applications in meteorology, or adventures in a parallel universe. American Meteorological Society, BAMS Feb. 2005, 171-173, 2005.
70. Sorensen, J. H.: Hazard warning system: review of 20 years of progress, Natural Hazard Review, 1(2), 22139, 119-125, 2000.
71. Strahler, A. N.: System theory in general geography, Phys. Geogr., 1, 1-27, 1980.
72. Stramondo, S., Saroli, M., Tolomei, C., Moro, M., Doiumaz, F., Pesci, A., Loddo, F., Baldi, P., and Boschi, E.: Surface movements in Bologna (Po Plain-Italy) detected by ultitemporal DInSAR, Remote Sens. Environ., 110, 304-316, 2007.
73. Taramelli, A. and Melelli, L.: Contribution of the Landsat ETM+ Spectral Mixing Space and SRTM analysis to characterize Deep Seated Gravitational Slope Deformations in central Apennines (Italy), Int. J. Remote Sens., in press, 2008.
74. Taramelli, A. and Melelli, L.: Strategy to delineate potentially affected areas by hurricane using GIS approach, Rend. Soc. Geol. It., 4, Nuova Serie, 27-34, 2007.
75. Taramelli, A. and Barbour, J.: A new DEM of Italy using SRTM data, Rivista Italiana Telerilevamento, 36, 3-15, 2006.
76. Tarboton, D. G.: A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33(2), 309-319, 1998.
77. Tarboton, D. G. and Ames, D. P.: Advances in the mapping of flow networks from digital elevation data. World Water and Environmental Resources Congress, 20-24 May, Orlando, Florida, 2001.
78. Taylor, G. I.: The instability of liquid surfaces when accelerated in a direction perpendicular to their planes, Proc. R. Soc. Lond. Ser. A., 201, 192-196, 1950.
79. Trenberth, K. E. and Shea, D. J.: Atlantic Hurricanes and Natural Variability in 2005, Geophys. Res. Lett., 33(12), L14703, doi:10.1029/ 2006GL026894, 2006.
80. Tucker, G. E., Catani, F., Rinaldo, A., and Bras, R. L.: Statistical analysys of drainage density from digital elevation data, Geomorphology, 36, 187-202, 2000.
81. UNEP-OCHA: Hurricane Stan: Environmental Impacts from Floods and Mudslides in Guatemala - Results from a rapid environmental assessment in Guatemala, http://ochaonline.un.org/OchaLinkClick.aspx?link=ocha&DocId= 1003943, last access: 11 August 2008, 2005.
82. Watson, C. C. and Johnson, M. E.: Hurricane loss estimation models, American Meteorological Society, BAMS - Nov. 2004, 1713-1726, 2005.
83. Webster, P. J, Holland, G. J., Curry, J. A., and Chang, H. R.: Changes in Tropical Cyclone Number, Duration and Intensity in a Warning Environment, Science, 309, 1844-1846, 2005.
84. World Bank: World Development Indicators, 1997, World Bank CD-ROM, World Bank, Washington, 1998.
85. Yuan, M.: Beyond Mapping in GIS applications to environmental analysis, American Meteorological Society, BAMS - Feb., 169-170, 2005.
86. Xie, L., Bao, S., Pietrafesa, L. J., Foley, K., and Fuentesa, M.: Real-Time Hurricane Surface Wind Forecasting Model: Formulation and Verification, Mon. Weather Rev., 134, 1355-1370, 2006.
87. Zenger, A. and Smith, D. I.: Impediments to using GIS for real-time disaster decision support, Computers, Environment and Urban Systems, 27(2), 123-141, 2003.
88. Zenger, A., Smith, D. I., Hunter, G. J., and Jones, S. D.: Riding the storm: a comparison of uncertainty modelling techniques for storm surge risk management, Appl. Geogr., 22(3), 307-330, 2002.