Abstract
Weather and hydrological extremes, which may be exacerbated by climate variability and change, severely stressed natural, engineered, and human systems. What makes these climate hazards particularly worrisome, however, is their rapidly changing nature, along with our lack of understanding of those hazard attributes that may matter the most for impact analyses. Thus, our understanding of climate variables is less reliable at finer resolutions, and our insights are less credible for extremes such as floods, droughts, hurricanes, and tornadoes. The interaction of climate hazards with increasing vulnerability, for example, owing to aging of infrastructures, and growing exposure, for example, owing to population growth and increasing rates of urbanization, enhances the challenge. The impacts of climate hazards, and hence preparedness and management of natural hazards as well as climate adaptation and to a great extent mitigation, depend critically on the state of infrastructures. Probabilistic risk assessments, an approach based on threat, vulnerability, and consequences, have long been used to prioritize engineering solutions and resource allocations for developing new or retrofitting existing infrastructures. However, there is a growing realization that a broader community and regional resilience centric perspective may be necessary. The new perspective needs to consider the essential functionality enabled by the infrastructures, as well as brittleness, recovery potential, and risks in terms of those functions. In addition, the perspective would need to consider a holistic framework, which embraces the visualization of critical functions and cascading failures across infrastructure sectors to novel engineering design and standards, along with economic incentives and metrics as well as best practices in organization and governance relevant for preparedness and response.
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References
Abdelghany KF, Shah SS, Raina S, Abdelghany AF (2004) A model for projecting flight delays during irregular operation conditions. J Air Transp Manag 10:385–394. doi:10.1016/j.jairtraman.2004.06.008
Aerts JCJH, Botzen WJW, Emanuel K, Lin N, Moel H de, Michel-Kerjan EO (2014) Evaluating flood resilience strategies for coastal megacities. Science 344: 473–475. doi:10.1126/science.1248222
Albert R, Jeong H, Barabási A-L (2000) The Internet’s Achilles’ Heel: error and attack tolerance of complex networks. Nature 406:200–0
Buldyrev SV, Parshani R, Paul G, Stanley HE, Havlin S (2010) Catastrophic cascade of failures in interdependent networks. Nature 464:1025–1028. doi:10.1038/nature08932
Disaster Resilience: A National Imperative (2015) [Internet]. [cited 1 Jul 2015]. Available: http://www.nap.edu/openbook.php?record_id=13457
Fisher L (2015) Disaster responses: More than 70 ways to show resilience. Nature 518:35–35. doi:10.1038/518035a
FlightAware – Flight Tracker/Flight Status/Flight Tracking. In: FlightAware [Internet]. [cited 1 Jul 2015]. Available: http://flightaware.com/
FlightStats – Global Flight Tracker, Status Tracking and Airport Information [Internet]. [cited 1 Jul 2015]. Available: http://www.flightstats.com/go/Home/home.do
Ganguly AR, Steinhaeuser K, Erickson DJ, Branstetter M, Parish ES, Singh N et al (2009) Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proc Natl Acad Sci 106:15555–15559. doi:10.1073/pnas.0904495106
Ghosh S, Mujumdar PP (2008) Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Adv Water Resour 31:132–146. doi:10.1016/j.advwatres.2007.07.005
Ghosh S, Das D, Kao S-C, Ganguly AR (2012) Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes. Nat Clim Change 2:86–91. doi:10.1038/nclimate1327
Guimerà R, Mossa S, Turtschi A, Amaral LAN (2005) The worldwide air transportation network: anomalous centrality, community structure, and cities’ global roles. Proc Natl Acad Sci USA 102:7794–7799 doi:10.1073/pnas.0407994102
Hawkins E, Sutton R (2009) The potential to narrow uncertainty in regional climate predictions. Bull Am Meteorol Soc 90:1095–1107. doi:10.1175/2009BAMS2607.1
Hernandez-Fajardo I, Dueñas-Osorio L (2013) Probabilistic study of cascading failures in complex interdependent lifeline systems. Reliab Eng Syst Saf 111:260–272. doi:10.1016/j.ress.2012.10.012
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation: special report of the intergovernmental panel on climate change [Internet]. Available: https://www.ipcc.ch/pdf/special-reports/srex/SREX_Full_Report.pdf
IPCC (2014a) Climate change 2014 – impacts, adaptation and vulnerability: part A: global and sectoral aspects [Internet]. Cambridge University Press. Available: http://www.cambridge.org/us/academic/subjects/earth-and-environmental-science/climatology-and-climate-change/climate-change-2014-impacts-adaptation-and-vulnerability-part-global-and-sectoral-aspects-working-group-ii-contribution-ipcc-fifth-assessment-report-volume-1?format=PB
IPCC (2014b) Climate change 2014 – impacts, adaptation and vulnerability: part B: regional aspects [Internet]. Cambridge University Press. Available: http://www.cambridge.org/us/academic/subjects/earth-and-environmental-science/climatology-and-climate-change/climate-change-2014-impacts-adaptation-and-vulnerability-part-b-regional-aspects-working-group-ii-contribution-ipcc-fifth-assessment-report-volume-2?format=PB#contentsTabAnchor
Jarrah AIZ, Yu G, Krishnamurthy N, Rakshit A (1993) A decision support framework for airline flight cancellations and delays. Transp Sci 27:266–280. doi:10.1287/trsc.27.3.266
Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L et al (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471. doi:10.1175/1520-0477(1996)077 < 0437:TNYRP > 2.0.CO;2
Koç Y, Warnier M, Kooij RE, Brazier FMT (2013) An entropy-based metric to quantify the robustness of power grids against cascading failures. Saf Sci 59:126–134. doi:10.1016/j.ssci.2013.05.006
Linkov I, Bridges T, Creutzig F, Decker J, Fox-Lent C, Kröger W et al (2014) Changing the resilience paradigm. Nat Clim Change 4:407–409. doi:10.1038/nclimate2227
Palmer TN, Shutts GJ, Hagedorn R, Doblas-Reyes FJ, Jung T, Leutbecher M (2005) Representing model uncertainty in weather and climate prediction. Annu Rev Earth Planet Sci 33:163–193. doi:10.1146/annurev.earth.33.092203.122552
Salvi K, Ghosh S, Ganguly AR (2015) Credibility of statistical downscaling under nonstationary climate. Clim Dyn 1–33 doi:10.1007/s00382-015-2688-9
Sen P, Dasgupta S, Chatterjee A, Sreeram PA, Mukherjee G, Manna SS (2003) Small-world properties of the Indian railway network. Phys Rev E 67:036106. doi:10.1103/PhysRevE.67.036106
Solé RV, Rosas-Casals M, Corominas-Murtra B, Valverde S (2008) Robustness of the European power grids under intentional attack. Phys Rev E 77:026102. doi:10.1103/PhysRevE.77.026102
Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc Lond Math Phys Eng Sci 365:2053–2075. doi:10.1098/rsta.2007.2076
Vespignani A (2010) Complex networks: the fragility of interdependency. Nature 464:984–985. doi:10.1038/464984a
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Bhatia, U. et al. (2017). Climate Hazards and Critical Infrastructures Resilience. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_1634
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DOI: https://doi.org/10.1007/978-3-319-17885-1_1634
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