Sustainable Cities and Communities

Living Edition
| Editors: Walter Leal Filho, Anabela Marisa Azul, Luciana Brandli, Pinar Gökcin Özuyar, Tony Wall

Early Warning Systems and Geospatial Tools: Managing Disasters for Urban Sustainability

  • S. YekeenEmail author
  • A. Balogun
  • Y. Aina
Living reference work entry

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An early warning system (EWS) is a disaster prediction information tool, used in different fields to acquire and communicate timely and useful warning information for predicted severe events or disasters. This could be as a result of natural factors, geophysical or biological hazard, sociopolitical factors, industrial hazard, and personal health risk factors, among other related disasters or hazards. The United Nations Office for Disaster Risk Reduction defines EWS as a framework which enables the generation and dissemination of timely and meaningful warning information to the likely areas to be faced by any form of disaster to facilitate preparedness and timely and appropriate response (United Nations Office for Disaster Risk Reduction 2006). The objective of an early warning system is to provide warnings to vulnerable people on a predicted natural or anthropogenic hazard or disaster to reduce possible harm or loss (United Nations Office for Disaster Risk Reduction 2006;...

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  1. Abella EC (2002) GIS for natural disaster management. III Congreso Internacional GEOMATICA 2002. 18-23 Febrero del 2002, Palacio de las Convenciones, La Habana, CubaGoogle Scholar
  2. ACTED (2013) Karamoja Drought Early Warning System (DEWS) An assessment of data reliability, end-user awareness and early action, ACTED Appraisal, Monitoring and Evaluation Unit (AMEU):
  3. Action Practical (2008) Early warning saving lives: Establishing community based early warning systems in Nepal, learning and experience 2002-08. Practical Action, Rugby, UKGoogle Scholar
  4. Adam NR, Shafiq B, Staffin R (2012) Spatial computing and social media in the context of disaster management. IEEE Intell Syst 27(6):90–96CrossRefGoogle Scholar
  5. Adedeji D, Eziyi OI (2010) Urban environmental problems in Nigeria: implications for sustainable development. J Sustain Dev Afr 12:124–145Google Scholar
  6. AfClix (2013) Draft report (v1) partners consultation workshop KhartoumGoogle Scholar
  7. Ahon F (2018) FG/NEWMAP install flood-warning system in 10 states. Retrieved march 28, 2018, from vanguardngr:
  8. Aina YA, Wafer A, Ahmed F, Alshuwaikhat HM (2019) Top-down sustainable urban development? Urban governance transformation in Saudi Arabia. Cities 90:272–281CrossRefGoogle Scholar
  9. Albano R, Sole A (2018) Geospatial methods and tools for natural risk management and communications. In: Multidisciplinary Digital Publishing InstituteGoogle Scholar
  10. Aleem K, Aina Y (2014) Using SRTM and GDEM2 data for assessing vulnerability to coastal flooding due to sea level rise in Lagos: a comparative study. FUTY J Environ 8(1):53–64Google Scholar
  11. Ameen R, Mourshed M, Li H (2015) A critical review of environmental assessment tools for sustainable urban design. Environ Impact Assess Rev 55:110–125CrossRefGoogle Scholar
  12. Aydinoglu AC, Bilgin MS (2015) Developing an open geographic data model and analysis tools for disaster management: landslide case. Nat Hazards Earth Syst Sci 15(2):335–347. Scholar
  13. Balogun A-L, Matori A-N, Kiak K (2018) Developing an emergency response model for offshore oil spill disaster management using spatial decision support system (sdss). ISPRS Ann Photogramm Remote Sens Spat Inf Sci 4(3):21–27CrossRefGoogle Scholar
  14. Basher R (2006) Global early warning systems for natural hazards: systematic and people-centred. Philos Trans R Soc A Math Phys Eng Sci 364:2167–2182CrossRefGoogle Scholar
  15. Bell R, Mayer J, Pohl J, Greiving S, Glade T (2010) Integrative Frühwarnsysteme für gravitative Massenbewegungen (ILEWS): Monitoring, Modellierung, Implemenierung. Klartext Verlag, EssenGoogle Scholar
  16. Bello OM, Aina YA (2014) Satellite remote sensing as a tool in disaster management and sustainable development: towards a synergistic approach. Procedia-Soc Behav Sci 120:365–373CrossRefGoogle Scholar
  17. Brown S, Cornforth R, Boyd E, Standley S, Allen M, Clement K, Gonzalo A, Erwin G, Michelle S, Haseeb I (2014) Science for Humanitarian Emergencies and Resilience (SHEAR) scoping study: annex 3-early warning system and risk assessment case studiesGoogle Scholar
  18. Clarke PK, Ramalingam B (2012) Meeting the urban challenge: adapting humanitarian efforts to an urban world. ALNAP/ODI, LondonGoogle Scholar
  19. Corps M, Action P (2010) Establishing community based early warning system:Google Scholar
  20. Damalas A, Mettas C, Evagorou E, Giannecchini S, Iasio C, Papadopoulos M et al (2018) Development and Implementation of a DECATASTROPHIZE platform and tool for the management of disasters or multiple hazards. Int J Disaster Risk Reduction 31:589–601CrossRefGoogle Scholar
  21. De Oliveira Silva L, De Mello Bandeira RA, Campos VBG (2019) Proposal to planning facility location using Uav and geographic information systems in a post-disaster scenario. Int J Disaster Risk Reduction 36:101080CrossRefGoogle Scholar
  22. De Smith MJ, Goodchild MF, Longley P (2007) Geospatial analysis: a comprehensive guide to principles, techniques and software tools. Troubador Publishing Ltd., LeicesterGoogle Scholar
  23. Ding Y, Fan Y, Du Z, Zhu Q, Wang W, Liu S, Lin H (2014) An integrated geospatial information service system for disaster management in China. Int J Digit Earth 8(11):918–945. Scholar
  24. Drakaki M, Gören HG, Tzionas P (2018) An intelligent multi-agent based decision support system for refugee settlement siting. Int J Disaster Risk Reduction 31:576–588CrossRefGoogle Scholar
  25. Economic, U., & Council, S (2016) Report of the inter-agency and expert group on sustainable development goal indicators. Stat Comm 13Google Scholar
  26. Erden, T., & Coskun, MZ (2007) Interfacing emergency management with GIS-aided spatial decision support systems. International symposium on modern technologies, Education and professional practice in geodesy and related fIelds, Sofia, CiteseerGoogle Scholar
  27. Erden T, Coskun M (2010) The role of geospatial tools in disaster management life cycle. Paper presented at the FIG Congress 2010 Facing the Challenges – Building the CapacityGoogle Scholar
  28. Fuchs C (2009) Warnen, alarmieren, informieren – eine Tour d’Horizon. Bevölkerungsschutz 3:7–9Google Scholar
  29. Garcia C, Fearnley C (2012) Evaluating critical links in early warning systems for natural hazards. Environmental Hazards 11:123–137CrossRefGoogle Scholar
  30. Gencer EA (2013) Natural disasters, urban vulnerability, and risk management: a theoretical overview. The Interplay between Urban Development, Vulnerability, and Risk Management: A Case Study of the Istanbul Metropolitan Area. E. A. Gencer. Berlin, Heidelberg, Springer Berlin Heidelberg 7–43CrossRefGoogle Scholar
  31. Grierson D (2016) The urban environment: agendas and problems. Int J Environ Cult Econ Soc 3(1):1–8Google Scholar
  32. Guha-Sapir D, Vos F, Below R, Ponserre S (2012) Annual disaster statistical review 2011: the numbers and trends. Centre for Research on the Epidemiology of Disasters (CRED), Brussels, BelgiumGoogle Scholar
  33. Guha-Sapir (2016) Annual disaster statistical review 2016: the numbers and trends. Technical Report. Centre for Research on the Epidemiology of Disasters (CRED), Brussels, BelgiumGoogle Scholar
  34. Gwimbi P (2007) The effectiveness of early warning systems for the reduction of flood disasters: some experiences from cyclone induced floods in zimbabwe. J Sustain Dev Afr 9(4):151–169Google Scholar
  35. Haworth B (2016) Emergency management perspectives on volunteered geographic information: opportunities, challenges and change. Comput Environ Urban Syst 57:189–198CrossRefGoogle Scholar
  36. Kafle SK (2007) Linking PMI EWS to National EWS: some indicators. CCEPGoogle Scholar
  37. Kafle SK (2017) Disaster early warning systems in Nepal: institutional and operational frameworks. J Geogr Nat DisastersGoogle Scholar
  38. Kaku K (2018) Satellite remote sensing for disaster management support: a holistic and staged approach based on case studies in Sentinel Asia. Int J Disaster Risk Reduction 417–432CrossRefGoogle Scholar
  39. Krishnamoorthi N (2016) Role of remote sensing and GIS in natural-disaster management cycle. Imp J Interdiscip Res 2(3):144–154Google Scholar
  40. Liang S, Gao Y (2010) Real-time notification and improved situational awareness in fire emergencies using geospatial-based publish/subscribe. Int J Appl Earth Obs Geoinf 12(6):431–438CrossRefGoogle Scholar
  41. Li-Chiu C, Fi-John C, Shun-Nien Y, I-Feng K, Ying-Yu K, Chun-Ling K, Ir. Mohd Zaki M (2018) Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems. Water 11:9CrossRefGoogle Scholar
  42. Manikiam BJM (2003) Remote sensing applications in disaster management. MAUSAM 54(1):173–182Google Scholar
  43. Manson SM, Bonsal DB, Kernik M, Lambin EF (2015) Geographic information systems and remote sensingGoogle Scholar
  44. Merrett HC, Chen WW (2013) Applications of geographical information systems and remote sensing in natural disaster hazard assessment and mitigation in Taiwan. Geomatics Nat Hazards Risk 4(2):145–163CrossRefGoogle Scholar
  45. Mourshed M, Bucchiarone A, Khandokar F (2016) SMART: a process oriented methodology for resilient smart cities. Proceedings of IEEE International Smart Cities Conference (ISC2), Trento, pp 775–780Google Scholar
  46. Musyoki J, Wagithi WJ (2015) Factors influencing effective disaster management in the hospitality industry, a case of selected hotels in the great rift regionGoogle Scholar
  47. Nuha E, Charles E, Virginia M (2018) Building urban resilience for disaster risk management and sisaster risk reduction. Procedia Eng 212:575–582Google Scholar
  48. Oroda AS (2013) Application of remote sensing to early warning for food security and environmental monitoring in the horn of Africa. Int Arch Photogramm Remote Sens Spat Inf Sci XXXIV(6/W6):66–72Google Scholar
  49. Pérez-Pereira M, Tinajero C, Rodríguez MS, Peralbo M, Sabucedo JM (2013) Academic effects of the prestige oil spill disaster. Span J Psychol 15:1055–1068CrossRefGoogle Scholar
  50. Santos-Reyes J (2019) How useful are earthquake early warnings? The case of the 2017 earthquakes in Mexico city, International journal of disaster risk reduction. Scholar
  51. Singh D, Pandey D, Mina U (2019) Earthquake-a natural disaster, prediction, mitigation, laws and government policies, impact on biogeochemistry of Earth crust, role of remote sensing and GIS in management in India-an overview. J Geosci 7(2):88–96Google Scholar
  52. Smith PJ, Brown S, Dugar S (2017) Community-based early warning systems for flood risk mitigation in Nepal. Nat Hazards Earth Syst Sci 17:423–437CrossRefGoogle Scholar
  53. Suarez G, Novelo D, Mansilla E (2009) Performance evaluation of the Seismic Alert System (Sas) in Mexico City. Seismological and social perspective. Seismol Res 80:707–714CrossRefGoogle Scholar
  54. Twigg J (2003) The human factor in early warnings: risk perception and appropriate communications. In: Early warning systems for natural disaster reduction. Springer, BerlinGoogle Scholar
  55. United Nations (2009) UNISDR terminology on disaster risk reductionGoogle Scholar
  56. United Nations (2018) World urbanization prospects: the 2018 revision [key facts]. United Nations Publications, New YorkGoogle Scholar
  57. United Nations International Strategy for Disaster Reduction (UNISDR) (2009) UNISDR terminology on disaster risk reduction. UN/ISDR, GenevaGoogle Scholar
  58. United Nations Office for Disaster Risk Reduction (2006) Global survey of early warning systems: an assessment of capacities, gaps and opportunities towards building a comprehensive global early warning system for all natural hazards. United Nations International Strategy for Disaster Reduction, GenevaGoogle Scholar
  59. United Nations Procurement Division (2005) World urbanization prospects: the 2005 revision analytical report. United Nations Publications, New YorkGoogle Scholar
  60. Verma M, Verma T, Banerjee T (2019) Disaster management for future city. Available at SSRN 3347048Google Scholar
  61. Vijay B, Sudhanshu J, Deshmukh NK, Parag B (2013) Assessment of role of Gis for natural disaster management: a critical review. Int J Innov Res Sci Eng Technol 2(10):5630–5632Google Scholar
  62. Villagran de Leon JC, Janos B (2006) Early warning systems in the contexts of disaster management. UNU-EHS, BonnGoogle Scholar
  63. Voigt S, Giulio-Tonolo F, Lyons J, Kučera J, Jones B, Schneiderhan T, Platzeck G, Kaku K, Hazarika MK, Czaran L, Li S (2016) Global trends in satellite-based emergency mapping. Science 353(6296):247–252CrossRefGoogle Scholar
  64. Yi L, Jiameng H, Isaiah S-F, Michael SV, Aashis L, Michael CW (2015) Software to facilitate remote sensing data access for disease early warning systems. Environ Model Softw 74:247–257CrossRefGoogle Scholar
  65. Zhang C, Zhao T, Li W (2010) Automatic search of geospatial features for disaster and emergency management. Int J Appl Earth Obs Geoinf 12(6):409–418CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Geospatial Analysis and Modelling (GAM) Research Group, Department of Civil and Environmental EngineeringUTPSeri IskandarMalaysia
  2. 2.Department of Geomatics Engineering TechnologyYanbu Industrial CollegeYanbuSaudi Arabia

Section editors and affiliations

  • Elisa Conticelli
    • 1
  1. 1.Department of Architecture, School of Engineering and ArchitectureAlma Mater Studiorum – University of BolognaBolognaItaly